Join us, understand and change the world
CLASSES IN SYSTEMS
The Center for System Science and Engineering is based in the Johns Hopkins Department of Civil Engineering. Graduate students interested in pursuing the Systems focus area should express this intent in their application and be interested in working with one of the CSSE-affiliated faculty.
Part-time and online Master’s degrees and certificates in systems are also offered by Johns Hopkins Engineering for Professionals.
Our students learn to use modeling and simulation to study the performance of complex systems and calculate the effect of changes.
- EN.560.320 Structural Dynamics
- EN.560.445 Advanced Structural Analysis
- EN.560.450(650) Introduction to Operations Research
- EN.560.453(653) An Introduction to Network Modeling
- EN.560.608 Multilevel and Multiobjective Optimization
- EN.580.618 Probabilistic Methods
- EN.560.641 Equilibrium Problems in Systems Engineering
- EN.560.645 Advanced Topics in Optimization
- EN. 560.740 Optimization and Learning
- EN.570.695 Environmental Health and Engineering Systems Design
- EN.570.616 Data Analytics in Environmental Health and Engineering
- EN.570.697 Risk and Decision Analysis
- EN.570.607 Energy Policy and Planning Models
- EN.553.783 Reliability Analysis
- EN.553.766 Combinatorial Optimization
- EN.553.762 Nonlinear Optimization II
- EN.553.753 Commodities and Commodity Markets
- EN.553.673 Introduction to Nonlinear Dynamics and Chaos
- EN.553.653 Mathematical Game Theory
- EN.553.661 Optimization in Finance
- EN.553.671 Combinatorial Analysis
- EN.553.663 Network Models in Operations Research
- EN.553.636 Data Mining
- EN.553.613 Applied Statistics and Data Analysis
- EN.553.600 Mathematical Modeling and Consulting
- EN.553.694 Applied and Computational Linear Algebra
- EN.553.633 Monte Carlo Methods
- EN.550.636 System Identification and Likelihood Methods
- EN.550.663 Stochastic Search and Optimization
- EN.550.664 Modeling, Simulation, and Monte Carlo
- EN.550.690 Neural Networks and Feedback Control Systems
- EN.601.636 Algorithmic Game Theory
- EN.601.633 Intro Algorithms
- EN.601.675 Machine Learning
- EN.601.676 Machine Learning: Data to Models
- EN.601.682 Machine Learning: Deep
- EN.491.691 Learning Theory I
- EN.625.623 Introduction to Operations Research
Reach to the end of the world
The emphasis in the Ph.D. systems-focused degree is upon a sound foundation in the fundamentals in a given area with considerable flexibility in course selection determined by the interests and background of each graduate student. The Department of Civil and Systems Engineering offers opportunities for a broad application of systems thinking and modeling in many areas like Energy, Public Health, Disaster Planning, Medicine, and Infrastructure. Systems is an inherently cross-disciplinary subject and students are encouraged to take courses from outside their home department. These courses are supplemented by systems seminars, generally delivered by visiting experts in the field.
Students with a primary interest in Operations Research, and those who wish to apply systems thinking and modeling to improve the design of public policies and environmental control systems can also enroll in the programs offered by Applied Math and Statistics and the Department of Environmental Health and Engineering. There is considerable overlap and collaboration between these departments. To find out more about the research interests of individual faculty, please see the Team page or contact Prof. Lauren Gardner.
Our doctoral students take the equivalent of about two full academic years of formal course work. Roughly half of this is done in the principal subject area and the rest is chosen from allied fields. Although systems is a subject that crosses traditional departmental boundaries, doctoral students still take the Departmental Qualifying Exam (DQE) for their home department, and are also encouraged to take the appropriate core departmental classes to successfully pass the exam.
Reach to the end of the world
Students pursuing a Master’s degree in Civil Engineering at Johns Hopkins are welcome to work with CSSE members and take a wide range of systems-related classes. Students from the JHU departments of Environmental Health and Engineering and Applied Math and Statistics also regularly collaborate with CSSE.