Computer Science majors must take one course from each of the three breadth areas: Theory, Systems, and Applications.
Computer Science majors must take three courses (12 units) from one depth area on this list.
Artificial Intelligence
CSE 203B /CSE 291: Convex Optimization (*students that completed ECE273 or Math 245B will not be eligible to enroll in CSE 203B or count the course)
CSE 234 (Formerly CSE 291) - Data Systems for Machine Learning
CSE 250A - AI: Probabilistic Reasoning and Learning
CSE 251A (formerly CSE 250B) - AI: Learning Algorithms
CSE 251B (formerly CSE 253) - Neural Networks/Pattern Recognition
CSE 251C (Formery CSE 250C) -Machine Learning Theory
CSE 252D (Formerly CSE 252C)- Advanced Computer Vision (Prof. Chandraker's Section ONLY)
CSE 254 - Statistical Learning
CSE 255 - Data Mining and Predictive Analysis
CSE 256 - Statistical Natural Language Processing
CSE 257 (Formerly CSE 291)- Search and Optimization
CSE 258 - Recommender Systems and Web Mining
CSE 258A - Cognitive Modeling
CSE 291 - 3D-Centric Machine Learning
CSE 291 - Advanced Statistical NLP
CSE 291 - Advances in 3D Reconstruction
CSE 291 - Advanced Data-Driven Text Mining
CSE 291 - Advanced Deep Learning (*Cottrell Section Only)
CSE 291 - Adv. Analytics and ML Systems
CSE 291 - Algorithms for Big Data
CSE 291 - Automated Reasoning in AI
CSE 291 - Continual Learning
CSE 291 - Deep Learning for 3D Data
CSE 291 - Deep Learning for Sequences
CSE 291 - Deep Reinforcement Learning
CSE 291 - Graph Mining/Network Analysis
CSE 291 - Latent Variable Models
CSE 291 - Machine Learning on 3D Data
CSE 291- Machine Learning on Geometrical Data
CSE 291- Machine Learning Meets Geometry
CSE 291 - Probabilistic Approaches to Unsupervised Learning
CSE 291 - Recommender Systems
CSE 291 (Renumbered to CSE 257)-- Search and Optimization
CSE 291 - Statistical Learning Theory
CSE 291 - Statistical Learning and Combinatorics
CSE 291 - Structured Prediction for Natural Language Processing
CSE 291 - Topics in Statistical NLP
CSE 291 - Trustworthy Machine Learning (Chaudhuri)
CSE 291- Unsupervised Learning
COGS 243 - Statistical Data Analysis
COGS 225 (Formerly COGS260) - Image Recognition (w/ Z. Tu)
DSC 291- Data Science: Scientists/Engineers (Yoav Freund)
ECE 273 - Convex Optimization and Applications
ECE 276C - Robot Reinforcement Learning
ECE 285 - Intel Vehicles/Asst Systems
ECE 285 -SpecTopic/Signal&Imag/Robotic Machine Learning/Image Process
MAE 242 - Robot Motion Planning
Computer Engineering
CSE 231 - Advanced Compiler Design
CSE 237A - Introduction to Embedded Computing
CSE 237B - Software for Embedded Systems
CSE 237C - Validation and Testing of Embedded Systems
CSE 237D - Design Automation and Prototyping for Embedded Systems
CSE 240A - Principles of Computer Architecture
CSE 240B - Parallel Computer Architecture
CSE 240C - Advanced Microarchitecture
CSE 240D - Application Specific Processors
CSE 241A - VLSI Integration of Computing Circuitry
CSE 243A - Introduction to Synthesis Methodologies in VLSI CAD
CSE 244A - VLSI Test
CSE 245 - Computer Aided Circuit Simulation and Verification
CSE 248 - Algorithmic and Optimization Foundations for VLSI CAD
CSE 260 - Parallel Computation
CSE 291 - Memory/storage technologies and applications
CSE 291 - Topics in Embedded Computing and Communication
ECE 260A - VLSI Digital System Algorithms & Architectures
ECE 260B - VLSI Integrated Circuits & Systems Design
ECE 260C - VLSI Advanced Topics
ECE 284 - Special Topics in Computer Engineering
Computer Systems
CSE 207B (Formerly CSE 291) - Applied Cryptography
CSE 221 - Operating Systems
CSE 222A - Computer Communication Networks
CSE 222B - Internet Algorithmics
CSE 223A - Principles of Distributed Computing
CSE 223B - Distributed Computing and Systems
CSE 224 (formerly CSE 291) - Graduate Networked Systems
CSE 227 - Computer Security
CSE 234 (Formerly 291) - Data Systems for Machine Learning
CSE 260 - Parallel Computation
CSE 262 - System Support for Applications of Parallel Computation
CSE 291 - Adv. Analytics & ML Systems
CSE 291 - Adv. Topics in Classical Operating Systems
CSE 291 - Cloud Computing
CSE 291 - Cloud Application Dependability
CSE 291 - Distributed Systems
CSE 291- Language Based Security
CSE 291 - Memory/storage technologies and applications
CSE 291 - Storage Systems
CSE 291 - Topics in Embedded Computing and Communication
CSE 291 - Virtualization
Database Systems
CSE 232 - Principles of Database Systems
CSE 232B - Database System Implementation
CSE 233 - Database Theory
CSE 234 (Formerly CSE 291) - Data Systems for Machine Learning
CSE 291 - Advanced Analytics
CSE 291 - MGMT Large-Scale Graph Data
CSE 291: Adv. Analytics and ML Systems
CSE 291: Advanced Topic: Data Models in Big Data Era
Graphics And Vision
CSE 163 - Advanced Comp Graphics
CSE 168 - Comp Graphics II Rendering
CSE 252A - Computer Vision I
CSE 252B - Computer Vision II
CSE 252C - Selected Topics in Vision and Learning
CSE 252D - Advanced Computer Vision
CSE 272 - Advanced Image Synthesis
CSE 274 - Selected Topics in Graphics
CSE 291 - 3D-Centric Machine Learning
CSE 291 - ML Method for 3D Geometry Data
CSE 291: Advances in 3D Reconstruction
CSE 291 - Computational Photography
CSE 291 - Deep Learning for 3D Data
CSE 291: Deep Learning for Sequences
CSE 291: Domain Adaptation in Computer Vision
CSE 291 - Pattern Recognition
CSE 291: Physical Simulation
CSE 291: Recent Advances in Computer Vision
COGS 260 - Image Recognition
Human-Computer Interaction
CSE 170/COGS 120 - Interaction Design
CSE 216/COGS 230 - Topics in HCI
CSE 218 - Advanced Topucs in Software Engineering
CSE 250A - AI: Probabilistic Reasoning and Learning
CSE 291 - HCI for Health
CSE 190/291 - Computer Science Education Research
CSE 291 - Anti-Social Computing
CSE 291 - Towards Human-Centered Al
CSE 291 - Human-Centered Computing for Health (HC4H)
CSE 291 - Security, Privacy, and User Experience
COGS 220 - Information Visualization
COGS 231- Human Centered Programming
COGS 260 - Crowdsourcing Research
COGS 234 (previously COGS 260) - Foundations for Future User Interfaces
CSE 219 - 1 unit seminar (recommended but does NOT fulfill the depth requirement)
Programming Languages, Compilers, And Software Engineering
CSE 210 - Principles of Software Engineering
CSE 218 - Advanced Topics in Software Engineering
CSE 230 - Principles of Programming Languages
CSE 231 - Advanced Compiler Design
CSE 291 - Program Synthesis
Bioinformatics
CSE 280A - Algorithms in Computational Biology
CSE 282 - Bioinformatics II: Sequence and Structure Analysis - Methods and Applications
CSE 283 - Bioinformatics III: Functional Genomics
CSE 284 - Personal Genomics
MATH 283 - Statistical Methods in Bioinformatics
Theoretical Computer Science
CSE 200 - Computability and Complexity
CSE 201A - Advanced Complexity
CSE 202 - Algorithm Design and Analysis
CSE 203A - Advanced Algorithms
CSE 205 - Logic in Computer Science
CSE 206A - Lattice Algorithms and Applications
CSE 207 - Modern Cryptography
CSE 207B (Formerly CSE 291) - Applied Cryptography
CSE 208 - Advanced Cryptography
CSE 291 - Communication Complexity
CSE 291 - Quantum Complexity Theory
CSE 291 -Topics in Advanced Cryptography
Robotics Mandatory
CSE 276A Introduction to Robotics
Choose One or Two Courses:
CSE 276B Human Robot Interaction
CSE 276C Mathematics for Robotics
CSE 276D Healthcare Robotics
CSE 276E Robotic System and Implementation
Choose Zero or One Courses:
CSE 251A (Formerly CSE 250B) AI: Learning Algorithms
CSE 252B Computer Vision
