When Courses Are Offered

Below is a list of courses for the Department of Computer Science and Engineering. For a full list, please visit the CSE inventory on the Lehigh University course catalog.

When courses are offered

To facilitate planning, we indicate when we plan to offer each course (F = Every Fall Semester, S = Every Spring Semester, I = at least once every two years, NC = not currently offered). Except where noted, each course has 3 credit hours. 

• CSE 003 Introduction to Programming, Part A (2) (F)

  • CSE 003 will be offered Spring 2021 and students should plan to take CSE 004 during Summer 2021 to finish the sequence.  CSE 004 will not be offered Fall 2021.

• CSE 004 Introduction to Programming, Part B (2) (S)

• CSE 007 Introduction to Programming (4) (FS)

• CSE 012 Survey of Computer Science (FS)

• CSE 017: Programming and Data Structures (3) (FS)

• CSE 042 Principles of Computer Game Design (I)

• CSE 109 Systems Software (4) (FS)

• CSE 128 Survey of Artificial Intelligence (3) (S)

• CSE 140: Foundations of Discrete Structures and Algorithms (3) (S)

• CSE 160: Introduction to Data Science (3) (FS)

• CSE 202: Computer Organization and Architecture (3) (S)

• CSE 216: Software Engineering (3) (FS)

• CSE 241: Data Base Systems and Applications (3) (S)

• CSE 252: Computers, Internet and Society (3) (FS)

• CSE 262: Programming Languages (3) (F)

• CSE 264: Web Systems Programming (3) (F)

• CSE 265: System and Network Administration (3)

• CSE 271: Programming in Linux and Windows Operating Systems (3) (I)

• CSE 280: Capstone Project I (3) (S)

• CSE 281: Capstone Project II (2) (F)

• CSE 302: Complier Design (3)

• CSE 303: Operating System Design (3) (F)

• CSE 307 Structural Bioinformatics (F)

• CSE 308 Bioinformatics (S)

• CSE 313: Computer Graphics (3)

• CSE 318: Introduction to the Theory of Computation (3 (S)

• CSE 319: Image Analysis and Graphics (3) (NC)

• CSE 320 Biomedical Image Computing and Modeling (I)

• CSE 325 Natural Language Processing (S)

• CSE 326: Fundamentals of Machine Learning (3) (F)

• CSE 327: Artificial Intelligence Theory and Practice (3) (S)

• CSE 331: User Interface Systems and Techniques (3) (F)

• CSE 332 Multimedia Design and Development (NC)

• CSE 335: Topics on Intelligent Decision Support Systems (3) (NC)

• CSE 336: Embedded Systems (3) (F)

• CSE 337: Reinforcement Learning (3) (I)

• CSE 340: Design and Analysis of Algorithms (3) (F)

• CSE 341: Database Systems, Algorithms, and Applications (3)

• CSE 342: Fundamentals of Internetworking (4)

• CSE 343: Network Security (3)

• CSE 345: WWW Search Engines (3)

• CSE 347: Data Mining (3) (S)

• CSE 348: AI Game Programming (3)

• CSE 349 Big Data Analytics (3) (F)

• CSE 352 Information Technology for Commerce (NC)

• CSE 360: Introduction to Mobile Robotics (3)

• CSE 371 Principles of Mobile Computing

• CSE 375: Principles & Practice of Parallel Computing (3) (F)

• CSB 311: Computer Applications in Business (3) (S)

• CSB 312: Design of Integrated Business Applications I (3) (S)

• CSE 313: Design of Integrated Business Applications II (3) (F)

For prerequisite structure of the CSE courses, please refer to courses diagrams on appropriate degree program.