Classes

Classes in Systems

The CSSE is based in the Johns Hopkins Department of Civil and Systems 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.

Our students learn to use data, modeling, simulation and AI to study the performance of complex systems and calculate the effect of changes.

Part-time and online Master’s degrees and certificates in systems are also offered by Johns Hopkins Engineering for Professionals.

Recommended Classes

Civil & Systems Engineering (CaSE)
Civil & Systems Engineering (CaSE)
Civil & Systems Engineering (CaSE)
Civil & Systems Engineering (CaSE)
Civil & Systems Engineering (CaSE)
Civil & Systems Engineering (CaSE)
Civil & Systems Engineering (CaSE)
Civil & Systems Engineering (CaSE)
Applied Math and Statistics (AMS)
Applied Math and Statistics (AMS)
Applied Math and Statistics (AMS)
Applied Math and Statistics (AMS)
Applied Math and Statistics (AMS)
Applied Math and Statistics (AMS)
Applied Math and Statistics (AMS)
Applied Math and Statistics (AMS)
Applied Math and Statistics (AMS)
Environmental Health and Engineering
Environmental Health and Engineering
Environmental Health and Engineering
Environmental Health and Engineering
Environmental Health and Engineering
Environmental Health and Engineering
Environmental Health and Engineering
Environmental Health and Engineering
Environmental Health and Engineering
Environmental Health and Engineering
Economics
Economics
Economics
Economics
Course number
EN.560.601
EN.560.618
EN.560.445
EN.560.645
EN.560.650
EN.560.653
EN.560.658
EN.560.449/649
EN.553.672
EN.553.665
EN.553.766
EN.553.797
EN.553.761
EN.553.762
EN.553.673
EN.553.753
EN. 553.792
EN.570.607
EN.570.608
EN.570.616
EN.570.695
EN.570.697
EN.520.629
EN.520.621
EN.520.654
EN.520.601
EN.520.621
AS.180.601
AS.180.600
AS.180.623
AS.180.622
Course Description
Applied Math for Engineers
Probabilistic Methods in Civil Engineering and Mechanics
Advanced Structural Analysis
Integer and Robust Optimization
Operations Research
An Introduction to Network Modeling
Natural Disaster Risk Modeling
Energy Systems
Graph Theory
Introduction to Convexity
Combinatorial Optimization
Introduction to Control Theory and Optimal Control
Nonlinear Optimization I
Nonlinear Optimization II
Introduction to Nonlinear Dynamics and Chaos
Commodities and Commodity Markets
Matrix Analysis and Linear Algebra
Energy Policy and Planning Models
Uncertainty Modeling for Policy & Management Decision Making
Data Analytics in Environmental Health and Engineering
Environmental Health and Engineering Systems Design
Risk and Decision Analysis
Networked Dynamical Systems
Introduction To Nonlinear Systems
Control Systems Design
Introduction to Linear Systems Theory
Introduction to Nonlinear Systems
Consumer and Producer Theory
General Equilibrium Theory
Economics of Information
Game Theory
Recommended Instructor
M. Shields
Ghobadi
Ghobadi
Gardner
Y. Dvorkin
W. Cook/A. Basu
A. Basu
Basu
D. Fishkind