EN.560.692 Civil Engineering and Systems Engineering Graduate Seminar
Seminar series of speakers on various aspects of civil engineering. Different speakers are invited each semester. Full time civil engineering graduate students must enroll in the seminar course every semester unless excused by the Department.
Civil and Systems Engineering, PhD
School of Engineering
The PhD program at the Johns Hopkins University Department of Civil and Systems Engineering aims to inspire the leaders of tomorrow to take on the challenge of creating and sustaining engineered systems that underpin our society , from the built environment to public health systems . Our graduate students work with faculty members who are world-renowned leaders in their fields and contribute to research that has a tremendous impact on society. Focal research areas in the department include structural engineering, structural mechanics, probabilistic methods, hazards management, and systems engineering. Examples of current projects include fracture and fatigue in materials and structural systems, design of additively manufactured architected materials, earthquake engineering, and applying systems approaches to improving patient flow in hospitals and predicting virus outbreak.
Civil Engineering, Master of Science in Engineering (MSE)
School of Engineering
Our Master of Science in Engineering (M.S.E.) in Civil Engineering program develops a sound understanding of the scientific principles upon which engineering research and practice are based. Different aspects of learning are integrated through classroom, laboratory instruction, and independent study experiences. Graduates of the program possess critical thinking skills, the ability for both independent and team problem-solving, and a sense of the excitement of engineering creativity and design. The program also develops communication skills necessary for the graduates to function in teams and to deal with other professions in public and private arenas. Their progressive education furthers student understanding of the context in which engineering is practiced in modern society. Our Master’s program combines fundamental training with real-world experience. Thus, the program educates leaders for tomorrow, providing the tools and perspectives for a lifetime of learning, opportunities, and professional advancement. Students build a knowledge base with coursework in systems, mechanics, structures, computational methods, and uncertainty quantification. Apply that knowledge in our internship program while networking with professional engineers and gain valuable experience with industry.
EN.560 (Civil and Systems Engineering)
http://e-catalogue.jhu.g.sjuku.top/course-descriptions/civil_engineering/
EN.560.100. Civilization Engineered: Structures and Systems. 3 Credits. Civilizations rely on engineered structures and infrastructure systems to supply their basic needs, including water, energy, transportation, and shelter. This course will examine the past, present, and future of the engineering solutions on which civilizations rely, and the evolving technological, environmental, and societal challenges to which our current solutions must adapt. Through lectures and hands-on activities, students will learn fundamental engineering concepts and methods of graphical communication, as well as an introduction to physical and computational modeling of structures and infrastructure systems. Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.101. Civilization Engineered: Data-driven Solutions for Communities. 3 Credits. Modern civilizations are inundated with data, which presents challenges related to the quantity and quality of data, but also opportunities for engineers to improve people's lives through data-informed design. Increasingly, data is being leveraged to help create solutions for society's grand challenges in the areas of sustainable and resilient cities, human safety and security, decision-making in healthcare, future energy infrastructure, even space exploration and habitation. This course will take a deep-dive into data - how to collect, process, visualize, model, and interpret it – with the goal of designing and evaluating solutions for the grand challenges that will impact our collective future. Coding will be emphasized in this class. The ePortfolio tag(s) on this course signify that there are one or more assignments offered in the course that provide students with the opportunity to be assessed for proficiency in completion of the relevant ePortfolio requirement(s). Prerequisite(s): EN.500.113 or EN.500.133 Distribution Area: Engineering EN Foundational Abilities: Oral Communication ePortfolio (FA1.2eP) EN.560.191. CaSE Collaborative. 0.5 Credits. From sketching to 3D printing, students in this course will work directly with the tools that civil and systems engineers use to plan and communicate their ideas. Hands-on learning activities will help students develop these skills, with an emphasis on communication and collaboration using graphical tools such as CAD and GIS software and physical specimens fabricated with manual construction and 3D printing. Distribution Area: Engineering, Natural Sciences AS Foundational Abilities: Science and Data (FA2) EN.560.192. CaSE Cornerstone Design Project. 1 Credit. Through a semester-long project, students in this course will practice the engineering design process as they work with a community partner to develop a proposal for the improvement or development of a parcel of land in Baltimore City (e.g. a vacant lot, parkland, etc.). Students will present their proposals at the Whiting School’s Design Day. The ePortfolio tag(s) on this course signify that there are one or more assignments offered in the course that provide students with the opportunity to be assessed for proficiency in completion of the relevant ePortfolio requirement(s). Distribution Area: Engineering EN Foundational Abilities: Conceiving of and Realizing Projects ePortfolio (FA6eP) EN.560.201. Statics & Mechanics of Materials. 3 Credits. This course combines statics - the basic principles of classical mechanics applied to the equilibrium of particles and rigid bodies at rest, under the influence of various force systems - with mechanics of materials - the study of deformable bodies and the relationships between stresses and deformations within those bodies. Fundamental concepts in statics include the proper use of free body diagrams, the analysis of simple structures, centroids and centers of gravity, and moments of inertia. The study of mechanics of materials will focus on the elastic analysis of axial force, torsion, and bending members to determine corresponding stresses and strains. Stress transformations and principal stresses will be introduced.For most majors, students are required to register for both 560.201 Statics and Mechanics of Materials and 560.211 Statics and Mechanics of Materials Laboratory. Prerequisite(s): AS.171.101 OR AS.171.105 OR AS.171.107 OR ( EN.530.123 AND EN.530.124 ) or instructor permission. Corequisite(s): EN.560.211 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.211. Statics and Mechanics of Materials Laboratory. 1 Credit. The complementary laboratory course for and required corequisite to EN.560.201 Statics and Mechanics of Materials. For most majors, students are required to register for both 560.201 Statics and Mechanics of Materials and 560.211 Statics and Mechanics of Materials Laboratory. Prerequisite(s): Students must have completed Lab Safety training prior to registering for this class. To access the tutorial, login to myLearning and enter Laboratory Safety Introductory Course in the Search Box to access the proper course. Click here to access the Laboratory Safety Introductory Course Corequisite(s): EN.560.201 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.240. Uncertainty, Reliability and Decision-making. 3 Credits. This course covers the essentials of probability and statistics with an emphasis on their use for reliability, risk, and decision making for civil and systems engineering applications. Topics include the basics of probability theory (random variables, moments, single and multi-variate distribution functions), an introduction to occurrence probabilities and extreme value statistics and their use in assessing risk of civil infrastructure systems, and introductory concepts in structural reliability and reliability-based design. Prerequisite(s): AS.110.109 Distribution Area: Engineering, Quantitative and Mathematical Sciences AS Foundational Abilities: Science and Data (FA2) EN.560.250. Intro to Mathematical Decision Making. 3 Credits. This first course in mathematical decision-making introduces optimization models and their role in solving complex problems. The methods are motivated by a set of real-world problems from various domains including Transportation, Energy, Health, Management, and Space, among others. The course covers linear and integer optimization formulations, solution algorithms, sensitivity analysis, network models, simulation examples, and hands-on solution techniques and coding. Prerequisite(s): EN.553.291 AND EN.500.113 Distribution Area: Engineering, Quantitative and Mathematical Sciences AS Foundational Abilities: Science and Data (FA2) EN.560.291. CaSE Coding. 0.5 Credits. Having learned basic Python programming skills in Gateway Computing, CaSE Coding will provide an opportunity for students to apply and further develop their coding skills by using them to analyze, interpret, and visualize real-world data from the materials, structures, and infrastructure systems that make up our built environment. Prerequisite(s): AS.110.109 AND EN.500.113 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.292. CaSE Research. 0.5 Credits. An introduction to the research process, students in this project-based course will develop an appreciation for the role of research in our society and will learn the tools indispensable to researchers, including how to conduct literature reviews, how to read and write technical literature, as well as how to formulate and test a research hypothesis. Students will explore the research process through a variety of methods including as an exercise in uncertainty quantification. Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.301. Structural Systems I. 3 Credits. This course will introduce students to the structural design workflow from concept and ideation to structural modeling and analysis to member and connection design using the reliability-based limit states approach. This first course in a two-course sequence will focus on the analysis and design of structural systems composed primarily of axial force members (e.g. trusses, cables, and arches). Connections to mechanics-based principles will be emphasized and practical applications using common structural materials such as timber, steel, and reinforced concrete will be covered. Prerequisite(s): EN.560.201 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.302. Structural Systems II. 3 Credits. This second course in the two-course structural systems sequence will reinforce the structural design workflow from concept and ideation to structural modeling and analysis to limit states design, but with a focus on the analysis and design of structural systems composed of bending members (e.g. frames). Connections to mechanics-based principles will again be emphasized and practical applications using common structural materials such as timber, steel, and reinforced concrete will be covered. Prerequisite(s): EN.560.301 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.305. Soil Mechanics. 4 Credits. Basic principles of soil mechanics. Classification of soils. Compaction theory. Consolidation seepage and settlement analysis. Stress-strain and shear strength of soils. Introduction to earth pressure theories and slope stability analysis. Prerequisite(s): Students must have completed Lab Safety training prior to registering for this class. To access the tutorial, login to myLearning and enter ASEN in the Search Box to access the proper course. Click here to access the Laboratory Safety Introductory Course ; EN.560.201 AND EN.560.211 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.312. Electromagnetism & Sensors Lab. 1 Credit. Electricity and magnetism underpins much of modern engineering, as an alternative or addendum to classical Physics this, largely, hands-on laboratory course exposes engineers to the principles of electromagnetism and how they are leveraged in the modern world with a focus on their application in infrastructure and sensor networks. Prerequisite(s): Students must have completed Lab Safety training prior to registering for this class. To access the tutorial, login to myLearning and enter 458083 in the Search box to locate the appropriate module. Distribution Area: Engineering, Natural Sciences EN.560.315. Data Science for Systems Engineers. 3 Credits. An advanced data analytics course intended for students who have previous experience with data science, probability, and statistics. This course looks at the principles and techniques of data science tailored towards applications in systems engineering contexts, specifically those related to major societal challenges including resilient cities, human safety and security, decision-making and healthcare, future energy infrastructure, and space exploration and habitation. Prerequisite(s): EN.500.115 Distribution Area: Engineering EN.560.330. Foundation Design. 3 Credits. Application of soil mechanics theory and soil test results to the analysis and design of foundations for structures; retaining walls; embankments; design of pile and shallow footing foundations; slope stability. Prerequisite(s): EN.560.305 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.355. Dynamical Systems. 3 Credits. This course will introduce students to the modeling and analysis of dynamical systems using analytical, numerical and qualitative (geometric) techniques. The course will focus on dynamical systems arising in mechanics and vibrations, global climate models and infectious disease modeling. The following topics will be covered: first order systems, phase space, bifurcations, numerical integration, second order linear systems, stability, finite differences, nonlinear systems, higher order systems, introduction to chaos. Prerequisite(s): EN.553.291 AND ( AS.171.101 OR AS.171.105 OR AS.171.107 ) Distribution Area: Engineering, Quantitative and Mathematical Sciences EN.560.362. Engineering Mechanics and Materials. 3 Credits. This course will provide an in-depth exploration of the mechanics of solid and liquid materials with a focus on constitutive equations. The course will cover both linear and nonlinear equations and their applications to solid and liquid materials under various loading conditions. Topics will include stress and strain, (visco-)elasticity and plasticity, failure criteria, and fluid mechanics. Students will study the derivation and use of constitutive equations for materials such as metals, polymers, and (non-)Newtonian liquids. Prerequisite(s): EN.553.291 AND EN.560.201 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.391. CaSE Careers I. 0.5 Credits. CaSE Careers I provides students with opportunities to explore the wide range of career paths available to civil and systems engineering graduates (e.g. consulting, academia, government, industry, and construction) through invited speakers, field trips to design offices / construction sites, and attendance at professional society meetings. Topics related to engineering ethics, professional licensure, and other current professional issues are also discussed. The ePortfolio tag(s) on this course signify that there are one or more assignments offered in the course that provide students with the opportunity to be assessed for proficiency in completion of the relevant ePortfolio requirement(s). Distribution Area: Engineering EN Foundational Abilities: Writing ePortfolio (FA.1.1eP), Ethical Reflection ePortfolio (FA5eP) EN.560.392. CaSE Careers II. 0.5 Credits. CaSE Careers II provides students with opportunities to explore the wide range of career paths available to civil and systems engineering graduates (e.g. consulting, academia, government, industry, and construction) through invited speakers, field trips to design offices / construction sites, and attendance at professional society meetings. Topics related to engineering economics and other current professional issues are also discussed. Distribution Area: Engineering EN.560.401. Design Theory and Practice. 3 Credits. First course in the two-course senior design capstone sequence for civil and systems engineering majors. Students will learn about various engineering design theories and their applications. They will also be assigned to small teams tasked with proposing engineering solutions to societal challenges in areas such as transportation, shelter, energy, and healthcare. The course will culminate in students’ formal design proposals that will be finalized in EN.560.402 CaSE Capstone Design Project. Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.402. CaSE Capstone Design Project. 3 Credits. Second course in the two-course senior design capstone sequence for civil and systems engineering majors. Following 560.401 Design Theory and Practice, in EN.560.402 students will finalize, document, and present their capstone design projects in small teams to fellow students, faculty, staff, and industry professionals at the Whiting School’s Design Day. Prerequisite(s): EN.560.401 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.410. Drivers of Technological Change. 3 Credits. Technological innovation is everywhere—from smartphones and ChatGPT to solar panels and electric vehicles—but how well do we understand the processes that turn novel ideas into widely adopted technologies? This interdisciplinary course introduces models of technological change and explores their implications for engineers, entrepreneurs, and policymakers seeking to advance energy and other infrastructure systems. Students will engage with conceptual and quantitative models that explain how technologies emerge, improve in performance (e.g., through cost reductions), diffuse, and contribute to economic growth and human development. Case studies on energy, transportation, and general-purpose technologies ground abstractions in practical contexts. Key course themes include: (a) how technological characteristics influence innovation pathways; (b) the opportunities and limitations of using historical trends to guide future innovation; and (c) how modeling choices shape efforts to manage and accelerate technological change. Distribution Area: Engineering EN.560.421. Architectural Engineering - Form, Function and Technology. 3 Credits. This course will cultivate broad knowledge of the use of engineering principles in the art of architecture. Fundamental definitions of architecture in the basic provision of shelter and social use are paired with aesthetics and cultural heritage. The course emphasizes structural frameworks and systems within the Civil Engineering curriculum, while expanding upon their critical intersections with the highly varied specialized components and systems of modern architecture, and the corresponding community of specialists that represent them. Topics include a historical view of the evolution of specialization in architecture, a quantitative review of loads and resistance systems, architectural and structural determinants of form, the function and aesthetics of building surface, and an introduction to environmental systems and their role in design sustainability. The class will include a trip to Fallingwater, the house designed by Frank Lloyd Wright, in western Pennsylvania, which stands as an iconic example of American architecture and a complex example of architectural engineering. This course is co-listed with? EN.560.621 . Prerequisite(s): EN.560.302 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.424. Renewable Energy Structures. 3 Credits. This course provides an introduction to the structural engineering principles underlying renewable energy systems, focusing on both the demands placed on these structures and the capacity calculations necessary for their safe and efficient design. Students will explore the challenges involved in scaling up renewable energy infrastructure to meet national and global energy demands. The course will cover a wide variety of renewable energy structures including: dams, solar support structures, on- and off-shore wind energy structures, transmission structures, structures for energy storage, and other novel renewable energy structures (e.g. solar chimneys, structures for carbon capture, etc.). A significant portion of the course will be dedicated to a more open-ended design effort, where students will propose, design, and analyze a renewable energy structure, with an emphasis on novel or emerging technologies and/or scale-up. Distribution Area: Engineering EN.560.429. Preservation Engineering: Theory and Practice. 3 Credits. The renovation of existing buildings often holds many advantages over new construction, including greater economy, improved sustainability, and the maintenance of engineering heritage and architectural character in our built environment. Yet, the renovation of existing structures presents many challenges to structural engineers. These challenges include structural materials that are no longer in widespread use (e.g., unreinforced masonry arches and vaults, cast iron, and wrought iron) as well as structural materials for which analysis and design practices have changed significantly over the last half-century (e.g., wood, steel, and reinforced concrete).This course will examine structures made of a wide variety of materials and instruct the student how to evaluate their condition, determine their existing capacity, and design repairs and/or reinforcement. The investigation and analysis procedures learned from this course may then be applied to create economical and durable structural alterations that allow for the reuse of older buildings. Site visits near Homewood campus will supplement lectures. Co-listed with 560.629. Prerequisite(s): EN.560.301 AND EN.560.302 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.431. Preservation Engineering II: Theory and Practice. 3 Credits. Building on the content in Preservation Engineering I: Theory and Practice, this course will begin with materials introduced at the start of the Industrial Revolution--namely with the beginning of the use of iron materials as major structural elements within buildings. The course will continue with the introduction of cast iron, wrought iron, and finally, structural steel members. After introducing iron materials the course will continue with the early use of reinforced concrete as a major structural material. The course will discuss the historic structural analysis methods associated with such materials and contrast such methods with more modern analytical approaches. It will also discuss concrete deterioration and repair methods. Concepts related to masonry facade investigation and repair will be presented along with the analytical methods associated with thin-shell masonry construction from the 19th and 20th centuries. The course will conclude with a review of the assessment and retrofit of historic foundations.Course is co-listed with EN.560.631 and EN.565.631 . Prerequisite(s): EN.560.429 OR Permission from the instructor. Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.434. Structural Fire Engineering. 3 Credits. This course will discuss the analysis and design of structures exposed to fire. It will cover the fundamentals of fire behavior, heat transfer, the effects of fire loading on materials and structural systems, and the principles and design methods for fire resistance design. Particular emphasis will be placed on advanced methods and numerical modeling tools for performance-based design. Applications of innovative methods for structural fire design in buildings and other structures will also be presented. Course is co-listed with graduate-level EN.560.634 . Prerequisite(s): EN.560.302 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.445. Advanced Structural Analysis. 3 Credits. Matrix methods for the analysis of statistically indeterminate structures such as beams, plane and space trusses, and plane and space frames. Stiffness and flexibility methods. Linear elastic analysis and introduction to nonlinear analysis. Co-listed with EN.560.619 . Prerequisite(s): EN.560.301 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.448. Energy Systems and Policy. 3 Credits. In this course, you will develop an understanding—and a technically- and socially-deep working knowledge—of our energy technologies, policies, and options. This will include analysis of the different opportunities and impacts of energy systems that exist within and between groups defined by national, regional, household, ethnic, and gender distinctions. Analysis of the range of current and future energy choices will be stressed, as well as the role of energy in determining local environmental conditions and the global climate. EN.560.449. Energy Systems. 3 Credits. This course revolves around the grid integration of renewable energy systems and operations of energy systems with renewables. The main emphasis is on grid level effects of renewable energy, particularly solar and wind power systems, and how these effects can be analyzed using mathematical modeling and modern software tools. The course begins with an introduction to basic power system concepts (transmission/distribution system modeling, power transformers, conventional and renewable generation technologies) along with power flow analysis and optimization. Following that, the course considers applications of optimal power flow and its variants to electricity market operations. An important component of this course is a guided project that will be carried out by students in small groups; each group will choose a real-world energy system to research and analyze and will present their findings at the end of the semester. Prior knowledge of circuits (including operations with complex numbers), linear algebra, calculus, and optimization is helpful, but not required. This course is co-listed with EN.560.649 . Prerequisite(s): AS.110.202 Distribution Area: Engineering, Quantitative and Mathematical Sciences AS Foundational Abilities: Science and Data (FA2) EN.560.450. Operations Research. 3 Credits. An introduction to operations research and its applications. The course will review the basics of mathematical modelling, linear programming, primal and dual Simplex methods, post-optimization analysis, decomposition methods, and heuristic methods along with sample applications. Recommended course background ( EN.553.291 or AS.110.201 ) and AS.110.109 or equivalent. This course is co-listed with EN.560.650 . Prerequisite(s): Students who have taken EN.560.650 are not eligible to take EN.560.450 . Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.451. Smart Transportation and Autonomous Vehicles. 3 Credits. This course offers an in-depth exploration of the evolving landscape of smart transportation systems and autonomous vehicle technologies. Students will study the integration of intelligent transportation systems (ITS) and automation, with a focus on the development, challenges, and future of autonomous vehicles (AVs) within open-world traffic settings. Key topics include sensor technologies, data quality control and bias mitigation, data processing algorithms, machine learning, vehicle-to-everything (V2X) communication, human-machine interaction, and ethical considerations in technology deployment. Additionally, the course will cultivate students with advanced data processing skills and the role of data science in transportation, emphasizing data-driven solutions for safety, mobility, and sustainability. By the end of the course, students will have gained a comprehensive understanding of how smart technologies are shaping the future of transportation and the role of AVs in fostering safer, more efficient, and sustainable urban mobility systems. Prerequisite(s): Students who are currently enrolled in, or have already completed EN.560.651 , are not eligible to enroll in EN.560.451 . Distribution Area: Engineering EN.560.453. An Introduction to Network Modeling. 4 Credits. Many real-world problems can be modeled using network structures, and solved using tools from network theory. For this reason, network modeling plays a critical role in various disciplines ranging from physics and mathematics, to biology and computer science, and almost all areas of social science. This course will provide an introduction to network theory, network flow algorithms, modeling processes on networks and examples of empirical network applications spanning transport, health and energy systems. Co-listed with EN.560.653 . Prerequisite(s): EN.553.291 AND EN.500.113 Distribution Area: Engineering, Quantitative and Mathematical Sciences AS Foundational Abilities: Science and Data (FA2) EN.560.457. System Dynamics. 3 Credits. System dynamics is a versatile analytical framework to understand and tackle problems which involve complex interactions among multiple variables and constraints. This course introduces the basics of systems thinking and system dynamics modeling and analysis. Qualitative and quantitative tools are discussed. Students will learn to identify and formulate system's structure and simulate their behavior using specialized software in order to develop potential intervention strategies. Fields of applications include engineering, climate change, resilience, logistics, public policy analysis, business, and decision-making. Prerequisite(s): AS.110.109 Distribution Area: Engineering, Quantitative and Mathematical Sciences AS Foundational Abilities: Science and Data (FA2) EN.560.458. Natural Disaster Risk Modeling. 3 Credits. This course provides an in-depth discussion of the simulation of disaster risk on socio-technical systems (from countries to cities). The course covers the algorithmic structure of catastrophe models; modeling of the intensity fields of hurricanes, earthquakes, and floods; methods to develop building and infrastructure vulnerability functions, structure of exposure layers, and estimation of post-disaster injuries and casualties. The students learn to produce basic stochastic catalogs from where risk metrics are calculated. Finally, the risk-reduction policy formulation process is presented using as input the catastrophe model-generated information. The course has a strong real-life application side analyzing World Bank risk reduction projects. Students will gain introductory experience in the use of GIS, Matlab, and R. This course is co-listed with EN.560.658 . Prerequisite(s): EN.560.240 Distribution Area: Engineering, Quantitative and Mathematical Sciences AS Foundational Abilities: Science and Data (FA2) EN.560.459. Production Systems Analysis. 3 Credits. Planning for manufacturing and service industries is critical for efficiently utilizing resources to produce cost-effective goods and services. This course delves into the fundamentals, models, and techniques required for planning, controlling, and optimizing the performance of manufacturing systems. The curriculum focuses on the trade-offs between key measures, like costs, cycle time, throughput, capacity, work-in-process, inventory, and variability. The course utilizes analytical approaches (linear programming, simulation, probability, and statistics) and coding (Python). Co-listed with EN.560.679. Prerequisite(s): Students may take only EN.560.479 or EN.560.679, but not both.; EN.500.113 AND EN.560.240 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.462. Failure Mechanics in Materials. 3 Credits. This course provides an overview of the various modes of failure found in traditional and non-traditional structural materials. The concepts will be demonstrated through computational models and physical demonstrations. This is the second course in a two-semester engineering mechanics sequence that starts with 560.362 Engineering Mechanics and Materials. These courses may be taken out of sequence only with the instructor’s permission. Prerequisite(s): EN.560.201 Distribution Area: Engineering AS Foundational Abilities: Science and Data (FA2) EN.560.501. Undergraduate Research. 1 - 3 Credits. Students who participate in ongoing research activities may register for this course with permission of their supervising faculty member. Prerequisite(s): You must request Customized Academic Learning using the Customized Academic Learning form found in Student Self-Service: Registration > Online Forms. EN.560.511. Group Undergraduate Research. 1 - 3 Credits. Students who participate in ongoing research activities may register for this course with permission of their supervising faculty member. This course differs from EN.560.501 in that it includes a weekly research group meeting that students are expected to attend. Prerequisite(s): You must request Customized Academic Learning using the Customized Academic Learning form found in Student Self-Service: Registration > Online Forms. EN.560.526. Independent Study - Civil and Systems Engineering. 1 - 3 Credits. Undergraduate students pursue research problems with a faculty supervisor. Although the research is under the direct supervision of a faculty member, students are encouraged to pursue the research as independently as possible. Prerequisite(s): You must request Customized Academic Learning using the Customized Academic Learning form found in Student Self-Service: Registration > Online Forms. EN.560.601. Applied Math for Engineers. 3 Credits. This course presents a broad survey of the basic mathematical methods used in the solution of ordinary and partial differential equations: linear algebra, power series, Fourier series, separation of variables, integral transforms. Distribution Area: Engineering, Quantitative and Mathematical Sciences EN.560.604. Introduction to Solid Mechanics. 3 Credits. Basic solid mechanics for structural engineers. Stress, strain and constitutive laws. Linear elasticity and viscoelasticity. Introduction to nonlinear mechanics. Static, dynamic and thermal stresses. Specialization of theory to one- and two-dimensional cases: plane stress and plane strain, rods, and beams. Work and energy principles; variational formulations. EN.560.610. Drivers of Technological Change. 3 Credits. Technological innovation is everywhere—from smartphones and ChatGPT to solar panels and electric vehicles—but how well do we understand the processes that turn novel ideas into widely adopted technologies? This interdisciplinary course introduces models of technological change and explores their implications for engineers, entrepreneurs, and policymakers seeking to advance energy and other infrastructure systems. Students will engage with conceptual and quantitative models that explain how technologies emerge, improve in performance (e.g., through cost reductions), diffuse, and contribute to economic growth and human development. Case studies on energy, transportation, and general-purpose technologies ground abstractions in practical contexts. Key course themes include: (a) how technological characteristics influence innovation pathways; (b) the opportunities and limitations of using historical trends to guide future innovation; and (c) how modeling choices shape efforts to manage and accelerate technological change. Distribution Area: Engineering EN.560.617. Deep Learning for Physical Systems. 3 Credits. The primary objective of this course is to foster a deep and holistic comprehension of the concepts surrounding deep learning, as well as their practical applications within engineering systems. This course encompasses a broad spectrum of methodologies, notably emphasizing the utilization of physics-informed and data-driven techniques for both time-dependent and static Partial Differential Equations (PDEs) and Ordinary Differential Equations (ODEs). We delve into the study of multi-layer perceptrons, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and autoencoders, exploring their roles in discerning patterns within data, providing solutions even in scenarios with limited data availability, and learning a family of equations using one network architecture. Through this course, students will acquire the skills to proficiently employ these methods in tackling a wide-ranging spectrum of computational challenges prevalent in domains like solid mechanics, biomechanics, and systems engineering. Proficiency in Python coding is essential for this course. To make the most of this course, it's important to have a basic understanding of Linear Algebra and Probability. Distribution Area: Engineering EN.560.618. Probabilistic Methods in Civil Engineering and Mechanics. 3 Credits. Covers probabilistic computational modeling in civil engineering and mechanics: Monte Carlo simulation, sampling methods and variance reduction techniques, simulation of stochastic processes and fields, and expansion methods. Applications to stochastic finite element, uncertainty quantification, reliability analysis, and model verification and validation. EN.560.619. Advanced Structural Analysis. 3 Credits. Matrix methods for the analysis of statistically indeterminate structures such as beams, plane and space trusses, and plane and space frames. Stiffness and flexibility methods. Linear elastic analysis and introduction to nonlinear analysis. Distribution Area: Engineering EN.560.621. Architectural Engineering - Form, Function and Technology. 3 Credits. This course will cultivate broad knowledge of the use of engineering principles in the art of architecture. Fundamental definitions of architecture in the basic provision of shelter and social use are paired with aesthetics and cultural heritage. The course emphasizes structural frameworks and systems within the Civil Engineering curriculum, while expanding upon their critical intersections with the highly varied specialized components and systems of modern architecture, and the corresponding community of specialists that represent them. Topics include a historical view of the evolution of specialization in architecture, a quantitative review of loads and resistance systems, architectural and structural determinants of form, the function and aesthetics of building surface, and an introduction to environmental systems and their role in design sustainability. The class will include a trip to Fallingwater, the house designed by Frank Lloyd Wright, in western Pennsylvania, which stands as an iconic example of American architecture and a complex example of architectural engineering. This course is co-listed with EN.560.421 . Distribution Area: Engineering EN.560.622. Introduction to Uncertainty Quantification. 3 Credits. The course introduces the theory and practice of uncertainty quantification. Methods for quantifying aleatory and epistemic uncertainty are considered, probabilistic and non-probabilistic approaches are discussed. The course introduces: propagation of uncertainty including statistical sampling methods, surrogate modeling, and numerical methods; inverse uncertainty quantification using Bayesian methods; global sensitivity analysis; and reliability/probability of failure analysis. The course is project-based and will require prior knowledge of both probability theory and coding (preferably in Python). Distribution Area: Engineering EN.560.623. Bridge Engineering. 3 Credits. This course will explore bridge design and analysis by studying local bridges of various forms, materials, and load demands. Topics include an overview of the history of bridge engineering, an introduction to the AASHTO Standard Specifications for Highway Bridges, analysis techniques and load ratings, bridge details, and substructure design. Distribution Area: Engineering EN.560.624. Renewable Energy Structures. 3 Credits. This course provides an introduction to the structural engineering principles underlying renewable energy systems, focusing on both the demands placed on these structures and the capacity calculations necessary for their safe and efficient design. Students will explore the challenges involved in scaling up renewable energy infrastructure to meet national and global energy demands. The course will cover a wide variety of renewable energy structures including: dams, solar support structures, on- and off-shore wind energy structures, transmission structures, structures for energy storage, and other novel renewable energy structures (e.g. solar chimneys, structures for carbon capture, etc.). A significant portion of the course will be dedicated to a more open-ended design effort, where students will propose, design, and analyze a renewable energy structure, with an emphasis on novel or emerging technologies and/or scale-up. Distribution Area: Engineering EN.560.629. Preservation Engineering I: Theory and Practice. 3 Credits. The renovation of existing buildings often holds many advantages over new construction, including greater economy, improved sustainability, and the maintenance of engineering heritage and architectural character in our built environment. Yet, the renovation of existing structures presents many challenges to structural engineers. These challenges include structural materials that are no longer in widespread use (e.g., unreinforced masonry arches and vaults, cast iron, and wrought iron) as well as structural materials for which analysis and design practices have changed significantly over the last half-century (e.g., wood, steel, and reinforced concrete).This course will examine structures made of a wide variety of materials and instruct the student how to evaluate their condition, determine their existing capacity, and design repairs and/or reinforcement. The investigation and analysis procedures learned from this course may then be applied to create economical and durable structural alterations that allow for the reuse of older buildings. Site visits near Homewood campus will supplement lectures. co-listed with 560.429. Distribution Area: Engineering EN.560.630. Structural Dynamics. 3 Credits. Functional and computational examination of elastic and inelastic single degree of freedom systems with classical and non-classical damping subject to various input excitations including earthquakes with emphasis on the study of system response. Extension to multi-degree of freedom systems with emphasis on modal analysis and numerical methods. Use of the principles of structural dynamics in earthquake response. EN.560.631. Preservation Engineering II: Theory and Practice. 3 Credits. Building on the content in Preservation Engineering I: Theory and Practice, this course will begin with materials introduced at the start of the Industrial Revolution--namely with the beginning of the use of iron materials as major structural elements within buildings. The course will continue with the introduction of cast iron, wrought iron, and finally, structural steel members. After introducing iron materials the course will continue with the early use of reinforced concrete as a major structural material. The course will discuss the historic structural analysis methods associated with such materials and contrast such methods with more modern analytical approaches. It will also discuss concrete deterioration and repair methods. Concepts related to masonry facade investigation and repair will be presented along with the analytical methods associated with thin-shell masonry construction from the 19th and 20th centuries. The course will conclude with a review of the assessment and retrofit of historic foundations.This course is co-listed with EN.560.431 and EN.565.631 . Distribution Area: Engineering EN.560.632. Structural Stability. 3 Credits. Concepts of stability of equilibrium, stability criteria, work energy and variational methods. Elastic buckling of columns, beams, frames, and plates. Introduction to inelastic and dynamic buckling. EN.560.633. Investigations, Diagnosis, and Rehabilitation. 3 Credits. Why do buildings deteriorate, and how do we address this problem? This course examines the deterioration (by human and nature) of building materials and systems. Through lectures and a field trip, students will learn how to set up and execute an investigation, study the symptoms, diagnose the problems, determine what kinds of tests are needed, design the necessary repairs, and maintain existing systems. This course is co-listed with Engineering for Professionals EN.565.633 . Distribution Area: Engineering EN.560.634. Structural Fire Engineering. 3 Credits. This course will discuss the analysis and design of structures exposed to fire. It will cover the fundamentals of fire behavior, heat transfer, the effects of fire loading on materials and structural systems, and the principles and design methods for fire resistance design. Particular emphasis will be placed on the advanced modeling and computational tools for performance-based design. Applications of innovative methods for fire resistance design in large structural engineering projects, such as stadiums and tall buildings, will also be presented. Distribution Area: Engineering EN.560.636. Lateral Forces: Analysis and Design of Building Structures. 3 Credits. From earthquakes to wind events, lateral forces constitute some of the most extreme loading conditions for which new and existing building structures must be analyzed and designed to resist. This course provides a fundamental yet practical introduction to the development and application of earthquake and wind loadings on building structures, the dynamic response and behavior of structures to lateral forces, and the bases and requirements for ductile design and detailing of steel, concrete, wood, and masonry lateral force resisting elements. The course will build on these analysis and design fundamentals to examine the technical considerations and methodologies for evaluating the lateral force resisting systems of existing, oftentimes monumental, building structures, and for designing and implementing repairs and retrofits to these lateral systems, including the application of Performance Based Design. This course is co-listed with EN.565.636 . Distribution Area: Engineering EN.560.646. Smart Cities. 3 Credits. In recent years, sustainability progress has resulted mainly from developing and implementing smart, sustainable technology solutions. This course examines opportunities to drive sustainability through technology applications, deemed the “smart city”. Smart city technology ranges from intelligent infrastructure in modern cities to mobile applications that enable the “sharing economy” and facilitate energy access in remote regions of East Africa. This course will not only concern “first-world” problems; we will explore the transformative solutions currently driving growth in emerging markets and the developing world. Students will develop the skills to piece together a sustainable, smart city. Distribution Area: Engineering EN.560.647. Probabilistic Graphical Models and Causal Inference for Networked Systems. 3 Credits. Many of the problems in civil and systems engineering, can be viewed as the search for a coherent global conclusion from local information. The probabilistic graphical model framework provides a unified view for this wide range of problems, enables efficient inference, decision-making and learning in problems with a very large number of attributes and huge datasets. This graduate-level course will provide you with a strong foundation for applying graphical models and causality to model complex networked engineering systems. Distribution Area: Engineering EN.560.648. Energy Systems and Policy. 3 Credits. In this course, you will develop an understanding—and a technically- and socially-deep working knowledge—of our energy technologies, policies, and options. This will include analysis of the different opportunities and impacts of energy systems that exist within and between groups defined by national, regional, household, ethnic, and gender distinctions. Analysis of the range of current and future energy choices will be stressed, as well as the role of energy in determining local environmental conditions and the global climate. EN.560.649. Energy Systems. 3 Credits. This course revolves around the grid integration of renewable energy systems and operations of energy systems with renewables. The main emphasis is on grid level effects of renewable energy, particularly solar and wind power systems, and how these effects can be analyzed using mathematical modeling and modern software tools. The course begins with an introduction to basic power system concepts (transmission/distribution system modeling, power transformers, conventional and renewable generation technologies) along with power flow analysis and optimization. Following that, the course considers applications of optimal power flow and its variants to electricity market operations. An important component of this course is a guided project that will be carried out by students in small groups; each group will choose a real-world energy system to research and analyze and will present their findings at the end of the semester. Prior knowledge of circuits (including operations with complex numbers), linear algebra, calculus, and optimization is helpful, but not required. This course is co-listed with EN.560.449 . Distribution Area: Engineering EN.560.650. Operations Research. 3 Credits. An introduction to operations research and its applications. The course will review the basics of mathematical modelling, linear programming, primal and dual Simplex methods, post-optimization analysis, decomposition methods, and heuristic methods along with sample applications. Recommended course background ( EN.553.291 or AS.110.201 ) and AS.110.109 or equivalent. This course is co-listed with EN.560.450 . Prerequisite(s): Students who have taken EN.560.450 are not eligible to take EN.560.650 . Distribution Area: Engineering EN.560.651. Smart Transportation and Autonomous Vehicles. 3 Credits. This course offers an in-depth exploration of the evolving landscape of smart transportation systems and autonomous vehicle technologies. Students will study the integration of intelligent transportation systems (ITS) and automation, with a focus on the development, challenges, and future of autonomous vehicles (AVs) within open-world traffic settings. Key topics include sensor technologies, data quality control and bias mitigation, data processing algorithms, machine learning, vehicle-to-everything (V2X) communication, human-machine interaction, and ethical considerations in technology deployment. Additionally, the course will cultivate students with advanced data processing skills and the role of data science in transportation, emphasizing data-driven solutions for safety, mobility, and sustainability. By the end of the course, students will have gained a comprehensive understanding of how smart technologies are shaping the future of transportation and the role of AVs in fostering safer, more efficient, and sustainable urban mobility systems. Prerequisite(s): Students who are currently enrolled in, or have already completed EN.560.451 , are not eligible to take EN.560.651 . Distribution Area: Engineering EN.560.652. Scientific Machine Learning for Modeling, Optimization, and Control of Dynamical Systems. 3 Credits. This course offers a scientific machine learning (SciML) approach to the modeling, optimization, and control of dynamical systems. Students will learn to systematically integrate physics-based models and constraints into deep learning architectures, and to leverage data-driven methods for accelerating the solution of large-scale optimization and optimal control problems. Key topics include physics-informed neural networks, learning to optimize, neural differential equations, neural operators, and differentiable control. The course also examines real-world applications of these emerging SciML techniques in domains such as building energy management, networked dynamical systems, and power systems. Emphasis will be placed on practical, hands-on coding exercises and project-based assessments to reinforce theoretical concepts through implementation. Distribution Area: Engineering EN.560.653. An Introduction to Network Modeling. 4 Credits. Many real-world problems can be modeled using network structures, and solved using tools from network theory. For this reason, network modeling plays a critical role in various disciplines ranging from physics and mathematics, to biology and computer science, and almost all areas of social science. This course will provide an introduction to network theory, network flow algorithms, modeling processes on networks and examples of empirical network applications spanning transport, health and energy systems. Distribution Area: Engineering, Quantitative and Mathematical Sciences EN.560.654. Introduction to Machine Learning and Control for Building Energy Systems. 3 Credits. This course introduces the principles of building energy optimization with a focus on the modeling and control of HVAC systems. The curriculum covers HVAC fundamentals, thermodynamics, and heat transfer, progressing to dynamic systems, control theory, and optimization techniques. Key topics include an introduction to system identification, machine learning, and optimal control applied to energy-efficient building management. The course concludes with hands-on coding assignments focusing on implementation of machine learning and control techniques for optimizing the energy efficiency of buildings using high-fidelity simulation frameworks. Students are required to posses prior knowledge in:• Differential calculus• Linear algebra• Optimization Distribution Area: Engineering EN.560.656. Space Systems Cybersecurity. 3 Credits. Our space systems are under attack. Cyberattacks are among the most prevalent threats to space assets. They are often stealthy, inexpensive and highly effective at achieving an adversary’s goal – be it data corruption, IP theft or physical destruction of the satellite. Given space systems are complex, composing ground stations, communications and satellites the surface area of attack is vast and considering the constrained computing capacity of space systems, many traditional security mechanisms are not applicable. This course introduces how an adversary would approach attacking a satellite, opportunities for systems engineers to develop cyber-resilient assets and relevant policies and best practices to support space system cybersecurity. Recommended classes - EP 675.600 and 675.601. Distribution Area: Engineering EN.560.657. System Dynamics. 3 Credits. System dynamics is a versatile analytical framework to understand and tackle problems which involve complex interactions among multiple variables and constraints. This course introduces the basics of systems thinking and system dynamics modeling and analysis. Qualitative and quantitative tools are discussed. Students will learn to identify and formulate system's structure and simulate their behavior using specialized software in order to develop potential intervention strategies. Fields of applications include engineering, climate change, resilience, logistics, public policy analysis, business, and decision-making. Distribution Area: Engineering EN.560.658. Natural Disaster Risk Modeling. 3 Credits. This course provides an in-depth discussion of the simulation of disaster risk on socio-technical systems (from countries to cities). The course covers the algorithmic structure of catastrophe models; modeling of the intensity fields of hurricanes, earthquakes, and floods; methods to develop building and infrastructure vulnerability functions, structure of exposure layers, and estimation of post-disaster injuries and casualties. The students learn to produce basic stochastic catalogs from where risk metrics are calculated. Finally, the risk-reduction policy formulation process is presented using as input the catastrophe model-generated information. The course has a strong real-life application side analyzing World Bank risk reduction projects. Students will gain introductory experience in the use of GIS, Matlab, and R. This course is co-listed with EN.560.458 . Distribution Area: Engineering, Quantitative and Mathematical Sciences EN.560.659. Production Systems Analysis. 3 Credits. Planning for manufacturing and service industries is critical for efficiently utilizing resources to produce cost-effective goods and services. This course delves into the fundamentals, models, and techniques required for planning, controlling, and optimizing the performance of manufacturing systems. The curriculum focuses on the trade-offs between key measures, like costs, cycle time, throughput, capacity, work-in-process, inventory, and variability. The course utilizes analytical approaches (linear programming, simulation, probability, and statistics) and coding (Python). Co-listed EN.560.479. Recommended courses that cover topics on probability and coding. Prerequisite(s): Students who have taken or are enrolled in EN.560.479 OR EN.560.459 OR EN.560.679 are not eligible to take EN.560.659 . Distribution Area: Engineering EN.560.661. Additive Manufacturing and Design. 3 Credits. Additive Manufacturing (AM) removes many geometric constraints imposed by traditional manufacturing processes. Resultingly, systems can be designed to support and improve multiple design objectives, which has the potential to alter the way products are designed. While this allows for the fabrication of more complex and often unprecedented geometries, it also increases the complexity designers face. In addition, engineers must not only understand AM technologies and materials, they must also be able to synthesize its economic and environmental impacts on a manufacturing value chain. Additive Manufacturing and Design will provide an in-depth overview of the most common – and promising – AM technologies, materials, and design methods by including examples from state-of-the-art research. A particular emphasis is placed on Design for Additive Manufacturing (DfAM), where the different topics will converge to fully utilize the newly created design space. Distribution Area: Engineering Writing Intensive EN.560.691. CaSE Graduate Seminar. 1 Credit. Graduate students are expected to register for this course each semester. Both internal and outside speakers are included. The first three meetings are dedicated to presentations by the faculty from the Civil and Systems Engineering Department. EN.560.692. Civil Engineering and Systems Engineering Graduate Seminar. 1 Credit. Seminar series of speakers on various aspects of civil engineering. Different speakers are invited each semester. Full time civil engineering graduate students must enroll in the seminar course every semester unless excused by the Department. EN.560.730. Finite Element Methods. 3 Credits. Variational methods and mathematical foundations, Direct and Iterative solvers, 1-D Problems formulation and boundary conditions, Trusses, 2-D/ 3D Problems, Triangular elements, QUAD4 elements, Higher Order Elements, Element Pathology, Improving Element Convergence, Dynamic Problems. EN.560.733. Thin-walled Members. 3 Credits. The Subject aims to discuss the behavior specific to thin-walled structural members (plated members in general, with a special focus on cold-formed steel members). Classic analytical solutions are presented, as well as numerical methods are discussed and employed (such as the Finite Strip Method and shell Finite Element Method). The main topics are as follows: · Theory of thin plates.· Buckling of thin plates.· Thick plates with shear deformations.· Plates with stiffeners, orthotropic plates.· Design concepts for plate buckling.· The finite strip method.· Buckling of thin-walled members: global, local and distortional buckling.· Design concepts for the buckling of thin-walled cold-formed steel members.· Introduction to shell theories.· Buckling of tubular members.· Further phenomena specific to thin-walled members: web crippling, shear lag, flange curling. Distribution Area: Engineering EN.560.762. Mechanics of Architected Materials. 3 Credits. This upper level graduate course will focus on the linear and nonlinear mechanics of a wide range of architected materials; we aim to cover: linear elastic properties of 2D and 3D cellular solids, micromechanics and homogenization, localization, microscopic and macroscopic instabilities, natural architected materials (bone, wood, nacre), wave propagation in lattices and phononics, mechanical metamaterials, and nanostructured materials (carbon nanotubes pillars, DNA origami). Distribution Area: Engineering EN.560.770. Advanced Finite Element Methods and Multi-Scale Methods. 3 Credits. Addresses advanced topics in various areas of the finite element methodology. Covers a range of topics, viz. element stability and hourglass control, adaptive methods for linear and nonlinear problems, mixed and hybrid element technology, eigen-value problems, multi-scale modeling for composites and polycrystalline materials. Recommended Course Background: EN.530.730 or EN.560.730 EN.560.772. Non-Linear Finite Elements. 3 Credits. This course will discuss state of the art theoretical developments and modeling techniques in nonlinear computational mechanics, for problems with geometric and material nonlinearities. Large deformation of elastic-plastic and visco-plastic materials, contact-friction and other heterogeneous materials like composites and porous materials will be considered. A wide variety of applications in different disciplines, e.g. metal forming, composite materials, polycrystalline materials will be considered. EN.560.826. Graduate Independent Study. 1 - 3 Credits. Students who participate in ongoing research activities may register for this course with permission of their supervising faculty member. This course differs from EN.560.501 and 560.511 in that it includes a weekly research group meeting that students are expected to attend. Research is primarily on the sponsored project. Distribution Area: Engineering EN.560.835. Graduate Research. 3 - 20 Credits. Graduate students pursue research problems with a faculty supervisor. This course will provide a Civil and Systems Engineering graduate-level research experience to those pursuing their graduate degrees (Master’s or doctoral degree) which will help a student engage in research on a specific topic and/or in specific research group under faculty supervision. Prior to course registration, students will submit a research proposal for approval by the research supervisor and the student’s faculty advisor. EN.560.836. Graduate Research. 3 - 20 Credits. Graduate students pursue research problems with a faculty supervisor. This course will provide a Civil and Systems Engineering graduate-level research experience to those pursuing their graduate degrees (Master’s or doctoral degree) which will help a student engage in research on a specific topic and/or in specific research group under faculty supervision. Prior to course registration, students will submit a research proposal for approval by the research supervisor and the student’s faculty advisor.
EN.660-663 (Center for Leadership Education)
http://e-catalogue.jhu.g.sjuku.top/course-descriptions/center_for_leadership_education/
EN.660.105. Foundations of American Enterprise. 3 Credits. What technical and other innovations led to the advances that drive our society, particularly in the US? How do organizations structure, manage, and fund themselves to sustain and encourage ongoing innovation? And how are the products and services that result from that innovation produced and translated into resources that ensure future development? This course will walk students through the historical and current underpinnings of the system that enables American enterprises to succeed in a global environment. Whether they become engineers or consultants, doctors or scientists, public health directors or lawyers -- no matter what career they pursue, students will be prepared to make leadership decisions. Distribution Area: Humanities, Social and Behavioral Sciences EN.660.106. Clark Scholars Leadership Challenge. 1 Credit. The Clark Scholars Leadership Challenge is a one credit pass/fail seminar and is designed specifically for the Clark Scholars at JHU who are interested in developing their leadership skills and applying those skills to Hopkins life. The seminar includes both a classroom component and an experiential component. The classroom content includes leadership topics, discussions with university leaders and serves as an introduction to the history, services and involvement opportunities at Hopkins. The experiential component includes programs such as JHU history, faculty student interaction, visits to other JHU campuses and more! Clark Scholars only. S/U only. Distribution Area: Social and Behavioral Sciences EN.660.116. Design for Innovation: Anthro-Design Crash Course. 2 Credits. The Anthro-Design Crash Course is a month-long introductory course that will empower students with tools and skills from design and applied anthropology to embrace innovation. The course uses dynamic classroom techniques developed throughout years of teaching experience, and research in engineering-design education. Students will work in teams towards a final project that will the test run for the tools learned in class. Centered in a scaffolded self-regulated design learning process, the course will look to promote autonomy, respectful engineering-design, and context assessment. Attendance is mandatory to achieve the learning outcomes. EN.660.122. Clark Scholars Engineering Design I. 1 Credit. In this course, Clark Scholar students will learn and practice mindsets and skills applied in human-centered engineering design. On teams, they will tackle a design challenge that addresses a real world need. Students will conduct research, ideate a breadth of solutions, and prototype and test their ideas. Distribution Area: Engineering EN.660.203. Financial Accounting. 3 Credits. The course in Financial Accounting is designed for anyone who could be called upon to analyze and/or communicate financial results and/or make effective financial decisions. As accounting is described as a language, this course focuses on the vocabulary and processes by which all financial transactions are captured and communicated with an emphasis on using quantitative data to interpret financial performance. Distribution Area: Quantitative and Mathematical Sciences, Social and Behavioral Sciences AS Foundational Abilities: Science and Data (FA2) EN.660.207. Reasoning with Data. 3 Credits. This course introduces students to statistical decision-making and data reasoning, using Excel for data analysis in the first part of the course and Tableau in the second part to extract insights and develop strategic recommendations. Students will build critical thinking and logical reasoning skills while learning essential statistical methods and data visualization techniques. Through real-world case studies and hands-on exercises, participants will gain the ability to analyze complex datasets, draw meaningful insights, and communicate findings effectively. By the end of the course, students will be equipped with the skills to apply data-driven decision-making and visualization techniques across a variety of professional settings. Distribution Area: Quantitative and Mathematical Sciences, Social and Behavioral Sciences AS Foundational Abilities: Science and Data (FA2), Projects and Methods (FA6) EN.660.230. Clark Scholars Engineering Design II. 1 Credit. In this course, Clark Scholar students will continue their training in human centered design. Students will focus on the identification of needs and the role of empathy. Distribution Area: Engineering EN.660.250. Identifying and Capturing Markets. 3 Credits. In this course, students will learn how to identify individual and organizational market needs through entrepreneurial thinking. Exposure to a broad range of organizations—from startups to more established businesses, and a variety of industry sectors, including biomedical engineering, information technology, healthcare, transportation and energy—will provide students with insight into an organization’s ability to identify, capture and grow these markets. No prerequisites. Distribution Area: Social and Behavioral Sciences AS Foundational Abilities: Science and Data (FA2) EN.660.299. Life Design Summer Experience Practicum. 1 Credit. The Life Design Summer Experience Practicum provides students with a structured opportunity to apply Life Design to a summer immersive experience. Over the course of 8-weeks, students will use the principles and processes of design thinking to reflect upon their values, identities, habits, and experiences and their relationship to the world of work; to deepen their understanding of potential professional pathways through conversations with colleagues, supervisors, and alumni; and, to test out these pathways through storytelling and the designing of new habits. By the end of the course, students will be able to articulate the ways in which their summer experience informs and supports their academic, professional, and personal ambitions. EN.660.300. Managerial Finance. 3 Credits. This course exposes students to the basic concepts and techniques of financial management including how to leverage spreadsheet applications like Microsoft Excel. Analytical techniques are applied to problem solving situations that deal with project/investment evaluations, time value of money and data mining. Prerequisite(s): EN.660.203 AS Foundational Abilities: Science and Data (FA2) EN.660.301. Clark Scholars Academic and Career Planning Seminar. 1 Credit. EN.660.303. Managerial Accounting. 3 Credits. This course in Managerial Accounting is designed to expose enterprise leaders to various internal tools and techniques that enable them to better utilize the resources of their business. Cost behavior patterns are incorporated in breakeven analysis, product costing, operational budgeting, and variance analysis with an emphasis on communicating actual versus planned results to responsible parties for quick attention and resolution of issues. Prerequisite(s): EN.660.203 Distribution Area: Quantitative and Mathematical Sciences, Social and Behavioral Sciences AS Foundational Abilities: Science and Data (FA2) EN.660.308. Business Law I. 3 Credits. This course is designed to provide students with an introduction to legal reasoning and analysis. Well- suited for a budding entrepreneur, course topics include enterprise formation, capitalization, torts, contracts, intellectual property, employment issues and the sale of an organization. Prerequisite(s): EN.660.105 Distribution Area: Social and Behavioral Sciences EN.660.320. Communicating with Data: Analysis, Visualization, Narratives. 3 Credits. Data exploration and visualization are crucial foundational skills for data analysis and decision analytics. Developing such skills enable us to leverage data to give insights to our audience. Using storytelling and visualization techniques helps us interpret data patterns to information that will assist managers in their decision-making process. Complex ideas can be effectively and clearly communicated when they are represented visually. Students who take this course will learn how to visualize data. It focuses on modern methods and standards for data visualization. This course covers how to better engage decision-makers via data visualization. It focuses on transforming data into digital visual narratives using modern visualization tools. This course covers the principles for meaningful data visualization, including ethical issues which need to be considered when presenting data visually. Students will apply practical and theoretical knowledge to transform data and critique visual representations to convey better the lessons learned from data exploration. The successful student will be able to demonstrate practical skills and theoretical disciplinary knowledge that will allow them to visually explain the important consequences of their data analytics in a corporate setting. Students will learn to use data analysis software (Excel and Tableau) for data cleaning and visualization. No prior programming experience is necessary, but a working knowledge of Excel will prove useful. Distribution Area: Quantitative and Mathematical Sciences, Social and Behavioral Sciences AS Foundational Abilities: Science and Data (FA2) EN.660.322. Decision Analytics. 3 Credits. Decision analytics encompasses the systematic process of inspecting, cleaning, transforming, and modeling data to uncover valuable insights, draw conclusions, and facilitate effective decision-making. This course serves as an introduction to fundamental statistical and machine learning techniques, equipping students with managerial perspectives on leveraging both small and big data for problem identification, analysis, and decision-making. The curriculum covers a range of topics, including data analysis techniques, the utilization of computing tools for applying these methods, and effectively communicating findings to non-experts through numerical and graphical data presentations. Students are required to use Microsoft Excel and IBM SPSS (Statistical Package for the Social Science which will be taught in the class). The teaching approach will encompass case studies and the Socratic method to illustrate each concept effectively. By the end of this course, students will have gained essential skills in data analysis, machine learning, and decision-making, empowering them to make informed business decisions and communicate their findings in clear and concise reports. Distribution Area: Quantitative and Mathematical Sciences, Social and Behavioral Sciences AS Foundational Abilities: Science and Data (FA2) EN.660.329. Social Entrepreneurship Theory and Practice. Community Based Learning. 3 Credits. Learn the principles, values and skills necessary to lead and succeed in organizations that make a positive difference in today’s world. The course is designed to help students identify and provide opportunities to enhance their leadership skills. A “Blueprint for Success” will provide the framework for students to cultivate their own ideas for new socially conscious entrepreneurial ventures. Students will hear from successful current leaders in the field of social entrepreneurship and be provided the opportunity to network with JHU alumni, faculty and staff who are working or volunteering in for-profit or non-profit entities through occupations that make a difference. Distribution Area: Humanities, Social and Behavioral Sciences EN Foundational Abilities: Engagement with Society (FA4) Writing Intensive EN.660.331. Leading Teams. 3 Credits. This course will allow students to develop the analytical skills needed to effectively lead and work in teams. Students will learn tools and techniques for problem solving, decision-making, conflict resolution, task management, communications, and goal alignment in team settings. They will also learn how to measure team dynamics and performance, and assess methods for building and sustaining high-performance teams. Students will also explore their own leadership, personality and cognitive styles and learn how these may affect their performance in a team. The course will focus on team-based experiential projects and exercises as well as provide opportunities to individually reflect and write about the concepts explored and skills gained throughout the course. No Audits. Recommended Course Background: EN.660.332 or EN.660.333 . EN.660.332. Leadership Theory. 3 Credits. Students will be introduced to the history of Leadership Theory from the "Great Man" theory of born leaders to Transformational Leadership theory of non-positional learned leadership. Transformational Leadership theory postulates that leadership can be learned and enhanced. The course will explore the knowledge base and skills necessary to be an effective leader in a variety of settings. Students will assess their personal leadership qualities and develop a plan to enhance their leadership potential. No audits. Distribution Area: Humanities, Social and Behavioral Sciences Writing Intensive EN.660.333. Leading Change. 3 Credits. In this course, we will use a combination of presentation, discussion, experiential learning, research, and self-reflection to investigate issues surrounding leadership and change in communities and the economy. While considering both for-profit and non-profit entitites, we will pursue topics including understanding and using theories of change, finding competitive advantage and creating strategic plans; making decisions, even in uncertain times; valuing differences; employing leadership styles; giving and receiving feedback; understanding employee relations; creating performance measures; and developing organizational cultures; and using the dynamics of influence. No audits. Distribution Area: Humanities Writing Intensive EN.660.340. Management Theory and Practice. 3 Credits. No matter how brilliant an idea, it will never be realized without the support of resource holders – whether those resources are technical skills, time, attention, commitment, or money. How does the innovator enlist the active involvement of direct reports, organizational leaders, peers, and partners to implement their initiatives? In this course, students will learn to align their ideas with strategic goals, use communication tools to influence others to support their plans, manage themselves for productivity, and create the team and organizational culture most likely to result in the implementation of their ideas. Distribution Area: Social and Behavioral Sciences EN Foundational Abilities: Ethical Reflection (FA5) EN.660.344. Multidisciplinary Engineering Design 1: ME Senior Design Capstone. 4 Credits. Students will work on teams with colleagues from different engineering disciplines to tackle a challenge for a clinical, community, or industry project partner. Through practicing a creative, human-centered design process, teams will understand the essential need behind the problem, prototype solutions, and test and refine their prototypes. In addition to project work, students will learn healthy team dynamics and how to collaborate among different working styles.Only mechanical engineering seniors who are taking this course to fulfill their design capstone requirement may register for this course. Distribution Area: Engineering Writing Intensive EN.660.345. Multidisciplinary Engineering Design 1. 4 Credits. Students will work on teams with colleagues from different engineering disciplines to tackle a challenge for a clinical, community, or industry project partner. Through practicing a creative, human-centered design process, teams will understand the essential need behind the problem, prototype solutions, and test and refine their prototypes. In addition to project work, students will learn healthy team dynamics and how to collaborate among different working styles. Distribution Area: Engineering, Social and Behavioral Sciences Writing Intensive EN.660.346. Multidisciplinary Engineering Design 2. 4 Credits. In this course, student teams continue their design projects from EN.660.345 with their project partners from industry, medicine, and the Baltimore community. Moving beyond the early design stages of their solution, teams will be introduced to product development tools such as risk analysis, specification creation, verification testing, and timeline management. They will continue to refine and test their prototypes in preparation for hand-off to their project partner at the end of the semester. As projects progress in technical depth, students have more opportunities to contribute expertise from their discipline while learning new skills from their peers and experts. Distribution Area: Engineering, Social and Behavioral Sciences EN.660.347. Action Lab. 3 Credits. Discover how playful experimentation, rapid prototyping and embracing risk and failure can grow your skills as a future engineer. Together, we will explore the technical skills used in rapid prototyping and apply those skills to two central skill-building projects and one final project of your choosing. This course is designed as a hands-on, participatory workshop, where we'll be making and tinkering together each week in order to develop our own unique approach to solving critical problems. Distribution Area: Engineering, Social and Behavioral Sciences AS Foundational Abilities: Culture and Aesthetics (FA3) EN Foundational Abilities: Creative Expression (FA3) EN.660.348. Multidisciplinary Engineering Design 2: ME Senior Design Capstone. 4 Credits. Students will continue to work on teams with colleagues from different engineering disciplines to tackle a challenge for a clinical, community, or industry project partner. Through practicing a creative, human-centered design process, teams will understand the essential need behind the problem, prototype solutions, and test and refine their prototypes. In addition to project work, students will learn healthy team dynamics and how to collaborate among different working styles. Only mechanical engineering seniors who are taking this course to fulfill their design capstone requirement may register for this course. Prerequisite(s): EN.660.344 Distribution Area: Engineering, Social and Behavioral Sciences EN.660.352. New Product Development. 3 Credits. New product development is the ultimate interdisciplinary entrepreneurial art, combining marketing, technical, and managerial skills. Students will experience the full breadth of this art. Working in teams, they will conceive of a product and take it through the development process, culminating in a “Shark Tank”-style pitch by the end of the semester.Topics will span the product development cycle: identifying user needs, brainstorming, industrial design, prototyping techniques, survey design for quantitative research, project management, intellectual property law, sustainable design, and product liability. The learning format will include case studies, exercises, projects, and frequent impromptu presentations. No audits. Prerequisite(s): EN.660.250 OR EN.500.101 OR EN.510.106 OR EN.520.137 OR EN.530.111 OR EN.560.141 OR EN.570.108 OR EN.580.111 OR EN.530.414 Distribution Area: Engineering, Social and Behavioral Sciences AS Foundational Abilities: Projects and Methods (FA6) EN.660.382. Clark Scholar Engineering Design IV. 1 Credit. In this course Clark Scholar students will continue their training in design thinking. Students will focus on both the identification of needs and the assessment of these needs for project selection. This course will consist of in class workshops and field immersion exercises. Distribution Area: Engineering, Natural Sciences EN.660.383. Clark Scholar Engineering Design V. 1 Credit. In this course Clark Scholar students will continue their training in design thinking. Students will focus on both the identification of needs and the assessment of these needs for project selection. This course will consist of in class workshops and field immersion exercises. Distribution Area: Engineering, Natural Sciences EN.660.385. Clark Scholar Engineering Design VI. 1 Credit. In this course Clark Scholar students will continue their training in design thinking. Students will focus on both the identification of needs and the assessment of these needs for project selection. This course will consist of in class workshops and field immersion exercises. EN.660.392. Social Impact Design. 3 Credits. In this course, multidisciplinary teams of students will collaborate with a Baltimore community partner to tackle a design challenge that addresses an issue of injustice. Students will first learn about the history and current context surrounding the design challenge before diving into responsible co-design with the community partner to create sustainable and adoptable solutions. Students from both WSE and KSAS may register. The ePortfolio tag(s) on this course signify that there are one or more assignments offered in the course that provide students with the opportunity to be assessed for proficiency in completion of the relevant ePortfolio requirement(s). Distribution Area: Engineering, Social and Behavioral Sciences AS Foundational Abilities: Citizens and Society (FA4) EN Foundational Abilities: Engagement with Society (FA4), Ethical Reflection ePortfolio (FA5eP) EN.660.393. Advanced Multidisciplinary Design Projects. 3 Credits. This course is offered to students who have taken a Multidisciplinary Design course and would like to continue developing their design project towards implementation. Students must receive approval from Multidisciplinary Design faculty before registering. Distribution Area: Engineering EN.660.399. Life Design Summer Experience Practicum- Returners. 1 Credit. The Life Design Summer Experience Practicum for Returning Scholarship Recipients provides students with a structured opportunity to apply Life Design to a summer immersive experience. Over the course of 8-weeks, students will use the principles and processes of design thinking to reflect upon their values, identities, habits, and experiences and their relationship to the world of work; to deepen their understanding of potential professional pathways through conversations with colleagues, supervisors, and alumni; and, to test out these pathways through storytelling and the designing of new habits. As returning LDSEP students, you will take self-direction by recalling the life design tools learned in your first year and by applying to your current experience and inform your future life design pathway. By the end of the course, students will be able to articulate the ways in which their summer experience informs and supports their academic, professional, and personal ambitions. Prerequisite(s): EN.660.299 [C]. Must participate in an approved summer experience & be a participant of a sponsoring program. EN.660.407. Negotiation and Conflict Resolution. 3 Credits. The focus of this class is the nature and practice of conflict resolution and negotiation within and between individuals and organizations. The primary format for learning in this class is structured experimental exercises designed to expose students to different aspects of negotiation and to build tangible skills through interpersonal exchange. While some class time is devoted to presentations on theories and approaches, the class method primarily relies on feedback from fellow classmates on their observations of negotiation situations and on personal reflections by students after each structured experience. Topics include conflict style, negotiation, and group conflict. No audits. Recommended Course Background: EN.660.105 , an additional course in the Entrepreneurship and Management Program or in the social sciences. Prerequisite(s): EN.660.105 Distribution Area: Social and Behavioral Sciences AS Foundational Abilities: Ethics and Foundations (FA5) EN Foundational Abilities: Ethical Reflection (FA5) EN.660.408. Innovation and Entrepreneurship for Energy. 3 Credits. This course is designed to give students the requisite skills to generate and screen ideas for new venture creation and then prepare a business plan for an innovative technology of their own design. These skills include the ability to incorporate into a formal business case all necessary requirements, including needs identification and validation; business and financial models; and, market strategies and plans. AS Foundational Abilities: Projects and Methods (FA6) EN.660.410. Computer Science Innovation and Entrepreneurship. 3 Credits. This course is designed to introduce students in Computer Science to a structured process for thinking innovatively, for finding “problems worth solving.” Students will work through a set of tools, techniques, and templates in order to build a portfolio of problems to solve which can then be screened for impact and feasibility. Student teams form around the best ideas and design a solution. In the spring semester, students actually build the solution. Restricted to Juniors and Seniors majoring in Computer Science or by permission of instructor. Distribution Area: Engineering AS Foundational Abilities: Projects and Methods (FA6) EN.660.414. Financial Statement Analysis. 3 Credits. This course encourages students to think in a more creative way when analyzing a firm’s historical performance or when forecasting future financial results. Students assess an enterprise’s profitability and risk, value assets and use spreadsheet applications like Microsoft Excel for valuation and decision-making purposes. Prerequisite(s): EN.660.203 Distribution Area: Quantitative and Mathematical Sciences, Social and Behavioral Sciences AS Foundational Abilities: Science and Data (FA2) EN.660.415. Clark Scholars Capstone: Service and Leadership. 3 Credits. This capstone course serves as the culminating experience for Clark Scholars to apply the engineering design, research, service and leadership skills developed throughout the Clark Scholars Program. This Capstone emphasizes reflection, collaboration, and leadership while providing an opportunity for Clark Scholars to co-create their project to address real-world challenges that make a meaningful impact. EN.660.419. Strategy Consulting. 3 Credits. The purpose of this course is to provide students with a background in, and opportunity to experience, strategy consulting in an organizational setting. Strategy consulting is fundamentally about identifying and solving the problems that prevent an organization from moving forward, from realizing its goals. Students will form teams, work with an outside sponsor, and treat the experience as a living case. They will explore the problem presented by the sponsor (client), conduct in-depth interviews to validate the problem, design appropriate solutions, and complete the project by developing an implementation plan. Student teams will formally present all of this to the sponsor at the end of the term. This serves as a capstone for the Entrepreneurship & Management minor. No audits. Prerequisite(s): EN.660.105 AND EN.660.203 AND ( EN.661.110 OR EN.661.250 ) OR Instructor Permission. Distribution Area: Social and Behavioral Sciences EN.660.420. Strategic Case Analysis. 3 Credits. This data-driven, writing-intensive course provides students with the skills to manipulate andleverage data to complement qualitative analyses when assessing growth potential for startupsthrough multinational firms. Using a structured approach to case and data analysis, students willlearn how to leverage data to complement qualitative factors to make the kinds of strategicdecisions that will have a positive, long-term impact on a range of organizations. Across 25MBA-level cases, students will gain exposure to and manipulate global market data (GDP percapita, population, ease of doing business rankings) using weighted average calculations acrosstheir chosen criteria; through customer lifetime value computations for strategic alternatives;through financial ratio/statement analysis and projections; for cost/benefit analyses ofoutsourcing; through the analysis of a large data set from an experiment with test and controlgroups to determine ROI; and by conducting cost/benefit analyses of global expansionalternatives (U.S. expansion, global expansion through direct investment). Cases will span arange of industries—from nanotechnology to consumer products—to domestic and foreign firms.In addition to analyzing cases individually, each student will be part of a multidisciplinary teamthat analyzes a case during the latter half of the semester, developing growth strategyrecommendations, including financial projections, and presenting them to the class. No audits. Prerequisite(s): EN.660.250 Distribution Area: Quantitative and Mathematical Sciences, Social and Behavioral Sciences AS Foundational Abilities: Science and Data (FA2), Projects and Methods (FA6) Writing Intensive EN.660.450. Advertising & Integrated Marketing Communication. 3 Credits. Working with a government (DHS, FBI, The Navy) or for-profit client, students in this class will hone leadership and oral and written communications skills, manage multidisciplinary teams, produce deliverables, oversee a timeline, allocate a budget and analyze key performance indicators/results. The project culminates with an oral presentation to the client. Required prerequisite: EN.660.250 . Prerequisite(s): EN.660.250 Distribution Area: Social and Behavioral Sciences AS Foundational Abilities: Science and Data (FA2), Projects and Methods (FA6) EN.660.453. Digital/Social Media & Analytics. 3 Credits. This course explores strategies for bootstrapped startups through larger organizations who seek to attract and engage consumers in the digital space. Through readings and guest speakers, along with a digital simulation featuring an actual venture, students will learn how to think strategically, select tactics, analyze data and optimize a budget. Prerequisite(s): EN.660.250 Distribution Area: Social and Behavioral Sciences AS Foundational Abilities: Science and Data (FA2) EN.660.455. Reimagining The City to Resist Climate Change. 3 Credits. ncreasing draught and arid lands, recurring intense storms, rising sea levels, failing infrastructure and architecture – communities are experiencing the effects of new and frequent perils that we must confront, mitigate, manage, predict and prevent. How can we reimagine cities – a fundamental structure to human life - to resist these realities? What solutions are we finding? How are cities restructuring, innovating with technology, and developing policy to minimize damage and risk? What makes for resilient communities and systems? What new innovations might we consider? This course, taught in seminar style, addresses these and other questions about resiliency through investigation, reading and discussion. Distribution Area: Humanities, Social and Behavioral Sciences AS Foundational Abilities: Citizens and Society (FA4), Ethics and Foundations (FA5) EN Foundational Abilities: Ethical Reflection (FA5) EN.660.459. Entrepreneurial Spirits. 3 Credits. Have you noticed the growth of consumer-focused, alcohol related enterprises? New wineries, breweries, distilleries and cideries abound in response to continuing growth in customer demand. Have you contemplated starting this type of enterprise? If so, this may be a course for you!!! We explore the background, opportunities and challenges in each of these spirit arenas as we investigate questions one must answer to make an informed decision about starting or joining such an enterprise. Among the topics we will study are the styles of products, vessels, production processes, costs/returns, sources of raw materials, laws and regulations, marketing options, food parings, customers and the like. Expect to make several local field trips. Also expect to perform several individual and group assignments, the results of which you will be required to share with classmates. Distribution Area: Social and Behavioral Sciences EN.660.460. Entrepreneurship. 3 Credits. Imagine you have an idea for a new invention or that you see a way to translate a discovery into reality - then what? How do you develop a plan to move forward? How do you find and qualify people and organizations that might use the product, good or service? How do you organize a team to move forward and how do you interest and communicate with would-be funders? The course will cover the principal components of building a successful venture including management, market analysis, intellectual property protection, legal and regulatory issues, operations, entrepreneurial financing, and the role of the capital markets. Course work will include case studies and creation of investor marketing materials. Open to Juniors and Seniors. No Audits. Prerequisite(s): EN.660.105 OR EN.660.250 Distribution Area: Social and Behavioral Sciences EN.660.461. Fundamentals of Product Management. 3 Credits. This course will introduce you to the fundamentals of managing a product throughout its life cycle, from inception through strategic market entry and product innovation, all the way to phase-out. We will work with experts in the field, learning how the role differs from industry to industry. This is a hands-on, project - based course: we will work on real challenges from our client partners, enabling you to practice using the tools and thinking of successful product managers. Distribution Area: Social and Behavioral Sciences AS Foundational Abilities: Projects and Methods (FA6) EN.660.463. Engineering Management & Leadership. 3 Credits. When engineers become working professionals, especially if they become managers, they must juggle knowledge of and tasks associated with operations, finance, ethics, strategy, team citizenship, leadership and projects. While engineers’ success may depend on their direct input -- the sweat of their own brow -- managers’ success depends on their ability to enlist the active involvement of others: direct reports, other managers, other team members, other department employees, and those above them on the organizational chart. In this course, you will learn about teamwork and people management, and gain an introduction to strategy, finance, and project management. You will practice writing concise persuasive analyses and action plans and verbally defending your ideas.Cross listed with Mechanical Engineering, Material Science and Engineering, and Civil and Systems Engineering. Distribution Area: Engineering, Social and Behavioral Sciences AS Foundational Abilities: Ethics and Foundations (FA5) EN Foundational Abilities: Ethical Reflection (FA5) EN.660.470. Leadership Studies Capstone. 3 Credits. The Leadership Studies Capstone provides Leadership Studies minors with the opportunity to design a project for which they will perform a leadership role. Advisors will provide students with guidance throughout the semester. Projects must be defined and presented to the Leadership Studies minor director prior to the start of the student’s senior year and approved by the conclusion of the first week of classes. Possible projects include experiential social entrepreneurship, developing an environmental venture, leading educational initiatives, leadership in a JHU-approved student organization, and partnership with a JHU Center, among others. Projects must meet the criteria established in the rubric. AS Foundational Abilities: Science and Data (FA2) EN.660.500. Professional Internship. 1 Credit. Students may qualify for an internship with one of the many local employers with whom CLE works or they may arrange a non-local internship on their own. For paid or unpaid internships, students may apply for sponsorship for academic credit through CLE. Applications must include a resume, transcript and letter and will be evaluated on the basis of work experience, GPA, and course work. Students are expected to complete two reports assigned by the internship coordinator. S/U only. Prerequisite(s): You must request Customized Academic Learning using the Customized Academic Learning form found in Student Self-Service: Registration > Online Forms. EN.660.607. Negotiation and Conflict Resolution. 3 Credits. The focus of this class is the nature and practice of conflict resolution and negotiation within and between individuals and organizations. The primary format for learning in this class is structured experimental exercises designed to expose students to different aspects of negotiation and to build tangible skills through interpersonal exchange. While some class time is devoted to presentations on theories and approaches, the class method primarily relies on feedback from fellow classmates on their observations of negotiation situations and on personal reflections by students after each structured experience. Topics include conflict style, negotiation, and group conflict. No audits. Recommended Course Background: EN.660.105 , an additional course in the Entrepreneurship and Management Program or in the social sciences. EN.660.614. Financial Statement Analysis. 3 Credits. This course encourages students to think in a more creative way when analyzing a firm’s historical performance or when forecasting future financial results. Students assess an enterprise’s profitability and risk, value assets and use spreadsheet applications like Microsoft Excel for valuation and decision-making purposes. EN.660.655. Reimagining The City to Resist Climate Change. 3 Credits. ncreasing draught and arid lands, recurring intense storms, rising sea levels, failing infrastructure and architecture – communities are experiencing the effects of new and frequent perils that we must confront, mitigate, manage, predict and prevent. How can we reimagine cities – a fundamental structure to human life - to resist these realities? What solutions are we finding? How are cities restructuring, innovating with technology, and developing policy to minimize damage and risk? What makes for resilient communities and systems? What new innovations might we consider? This course, taught in seminar style, addresses these and other questions about resiliency through investigation, reading and discussion. EN.660.660. Entrepreneurship. 3 Credits. Imagine you have an idea for a new invention or that you see a way to translate a discovery into reality - then what? How do you develop a plan to move forward? How do you find and qualify people and organizations that might use the product, good or service? How do you organize a team to move forward and how do you interest and communicate with would-be funders? The course will cover the principal components of building a successful venture including management, market analysis, intellectual property protection, legal and regulatory issues, operations, entrepreneurial financing, and the role of the capital markets. Course work will include case studies and creation of investor marketing materials. No Audits. EN.660.661. Fundamentals of Product Management. 3 Credits. This course will introduce you to the fundamentals of managing a product throughout its life cycle, from inception through strategic market entry and product innovation, all the way to phase-out. We will work with experts in the field, learning how the role differs from industry to industry. This is a hands-on, project - based course: we will work on real challenges from our client partners, enabling you to practice using the tools and thinking of successful product managers.
Systems Engineering, Master of Science
School of Engineering
...semester - EN.560.691 CaSE Graduate Seminar and/or Spring Semester - EN.560.692 Civil...