Graduate Courses

The following list contains all graduate courses that can appear on the Computer Science schedule, including selected courses offered by other departments. Please note that some courses are experimental and may not be offered on a regular basis. These may be subject to change each academic year.

Regular Courses:

CS 515 Parallel Programming
CS 516 Computers, Sound and Music
CS 517 Ethics and Artificial Intelligence
CS 518 Cultural Competence in Computing
CS 523 Rust Programming
CS 527 Introduction to Visual Computing
CS 529 Exploring Fractals
CS 530 Internet, Web, & Cloud Systems
CS 531 Introduction to Performance Measurement, Modeling and Analysis
CS 532 Operating System Foundations
CS 533 Concepts of Operating Systems
CS 535 Accelerated Computing
CS 536 Fundamentals of Data Engineering
CS 538 Computer Architecture
CS 539 Introduction to Computational Imaging
CS 540 Deep Learning: Computational Structures and Programming
CS 541 Classical Artificial Intelligence
CS 543 Large Language Models
CS 544 Natural Language Processing
CS 545 Machine Learning
CS 546 Reinforcement Learning
CS 547 Computer Graphics
CS 548 Virtual Reality
CS 549 Data Clustering
CS 551 Numerical Computation
CS 554 Software Engineering
CS 557 Functional Programming
CS 558 Programming Languages
CS 563 Intro to Web Development
CS 564 Front End Web Technologies
CS 565 Full Stack Web Development
CS 566 Voice Assistants
CS 571 Rust Embedded
CS 569 Scholarship Skills for Computer Science & Engineering
CS 575 Generative Security Application Engineering
CS 576 Computer Security Research Seminar
CS 577 Modern Language Processors
CS 578 Programming Language Semantics
CS 581 Theory of Computation
CS 583 Introduction to Quantum Computer Science
CS 584 Algorithm Design & Analysis
CS 585 Cryptography
CS 586 Introduction to Database Management Systems
CS 587 Database Management Systems Implementation
CS 589 Introduction to Privacy-aware Computing
CS 590 Introduction to Multimedia Computing and Networking
CS 591 Introduction to Computer Security
CS 592 Malware Reverse Engineering
CS 593 Digital Forensics
CS 594 Internetworking Protocols
CS 595 Web and Cloud Security
CS 596 Network Security
CS 658 Programming Languages
CS 669 Scholarship Skills for Computer Science & Engineering
CS 676 Computer Security Research Seminar
CS 677 Modern Language Processors
CS 678 Programming Language Semantics
CS 684 Algorithm Design & Analysis

Special Topic Courses (Active):

CS 510 Top: Advanced Topics in C++ Programming
CS 510 Top: Advanced Functional Programming
CS 510 Top: Advanced Java Programming
CS 510 Top: Advanced Topics in Program Verification
CS 510 Top: Code Large Language Models
CS 510 Top: Code Reading & Review
CS 510 Top: Computational Photography
CS 510 Top: Computer Vision and Deep Learning
CS 510 Top: Contemporary Software Development with Java and Android
CS 510 Top: Data with Python
CS 510 Top: Robust Software System Design
CS 510 Top: Formal Proof Foundations
CS 510 Top: Foundations of Computer Vision
CS 510 Top: Foundations of Emerging Technologies
CS 510 Top: Introduction to Computational Photography
CS 510 Top: Introduction to Computer Vision
CS 510 Top: Introduction to Healthcare Data Analytics
CS 510 Top: IoT Security
CS 510 Top: Mobile and Wireless Networks
CS 510 Top: Mobile Health
CS 510 Top: Networked Markets
CS 510 Top: Operating System Internals
CS 510P Top: Programming Language Compilation
CS 510 Top: Proof Assistants and Program Verification
CS 510 Top: Rust Web Full-Stack
CS 510 Top: Secure System Administration and DevOps
CS 510 Top: Speech Synthesis
CS 510P Top: The Joy of Coding with Java and Android
CS 510 Top: Unconventional Cameras
CS 510 Top: Usability Engineering
CS 510 Top: Wireless Networks and Applications
CS 610 Top: Computational Photography
CS 610 Top: Graphical Models for Optimization and Learning

To review course descriptions of previously offered courses, please contact the instructor or review the PSU Bulletin . A list of older courses that are no longer being offered can be found here .