Skip to content
Dibs Fall 2026

COM SCI

Computer Science

104 courses on record · 29 with sections in Fall 2026

Live section data currently covers GE courses; the rest is filled in by a nightly pass, so this department is likely running more than is listed here.

104 courses

Lower division 12

Lower division courses in Computer Science
Course Title Predicted GPA This term
1 Freshman Computer Science Seminar 3.96 n=584 1 section
19 Fiat Lux Freshman Seminars no letter grades —
30 Principles and Practices of Computing GE 3.26 n=557 1 section
31 Introduction to Computer Science I 3.22 n=4,953 2 sections
32 Introduction to Computer Science II 3.14 n=3,690 —
33 Introduction to Computer Organization 3.26 n=2,452 1 section
35L Software Construction 2.98 n=2,393 2 sections
M51A Logic Design of Digital Systems 3.52 n=1,541 1 section
88SA Machine Learning 101 no letter grades —
88SB Demystifying Computer Science no letter grades —
88SC Technology of X-Files: Aliens and Paranormal no letter grades —
97 Variable Topics in Computer Science 3.66 n=262 —

Upper division 37

Upper division courses in Computer Science
Course Title Predicted GPA This term
111 Operating Systems Principles 3.16 n=1,517 —
118 Computer Network Fundamentals 3.31 n=1,896 1 section
M119 Fundamentals of Embedded Networked Systems no grade history —
C121 Probabilistic Models in Computational Genomics 3.80 n=277 —
CM121 Introduction to Bioinformatics 3.85 n=253 —
C122 Algorithms in Computational Genomics 3.76 n=234 —
CM122 Algorithms in Bioinformatics 3.80 n=154 —
CM124 Machine Learning Applications in Genetics 3.71 n=155 —
130 Software Engineering 3.40 n=1,116 1 section
131 Programming Languages 2.91 n=1,658 2 sections
132 Compiler Construction 3.29 n=455 —
133 Parallel and Distributed Computing 3.43 n=251 —
134 Distributed Systems 3.68 n=181 —
136 Introduction to Computer Security 3.20 n=191 —
M138 Computer System Security no grade history —
143 Data Management Systems 3.46 n=989 —
144 Web Applications 3.39 n=282 —
145 Introduction to Data Mining 3.38 n=192 —
M146 Introduction to Machine Learning 3.45 n=1,806 2 sections
M148 Introduction to Data Science 3.36 n=1,237 2 sections
M151B Computer Systems Architecture 3.06 n=1,042 —
M152A Introductory Digital Design Laboratory 3.94 n=1,889 6 sections
152B Digital Design Project Laboratory 3.90 n=228 1 section
161 Fundamentals of Artificial Intelligence 3.39 n=1,775 2 sections
162 Natural Language Processing 3.67 n=399 —
163 Deep Learning for Computer Vision 3.40 n=138 —
174A Introduction to Computer Graphics 3.28 n=1,034 1 section
C174C Computer Animation 3.37 n=186 —
180 Introduction to Algorithms and Complexity 3.17 n=2,624 2 sections
181 Theory of Computing 3.16 n=1,961 1 section
M182 Dynamic Biosystem Modeling and Simulation Methodology 3.63 n=179 —
183 Introduction to Cryptography 3.34 n=148 —
M184 Introduction to Computational and Systems Biology no letter grades —
CM186 Computational Systems Biology: Modeling and Simulation of Biological Systems 3.56 n=40 —
188 Special Courses in Computer Science: Introduction to Machine Learning for Computer Scientists 3.57 n=566 —
192 Methods and Application of Collaborative Learning Theory in Life Sciences 3.96 n=473 1 section
M192A Introduction to Collaborative Learning Theory and Practice 3.93 n=204 —

Graduate 55

Graduate courses in Computer Science
Course Title Predicted GPA This term
201 Computer Science Seminar no letter grades 1 section
205 Health Analytics 3.59 n=32 —
211 Network Protocol and Systems Software Design for Wireless and Mobile 3.69 n=91 2 sections
212A Queueing Systems Theory 3.63 n=15 small sample —
M213A Embedded Systems no grade history —
214 Big Data Systems 3.95 n=119 —
215 Internet of Things: Connectivity and Sensing 3.41 n=111 —
216 Network Algorithmics 3.80 n=53 —
217A Internet Architecture and Protocols 3.66 n=162 1 section
217B Advanced Topics in Internet Research 3.77 n=28 —
219 Current Topics in Computer System Modeling Analysis 3.70 n=215 —
C221 Probabilistic Models in Computational Genomics 3.80 n=38 —
CM221 Introduction to Bioinformatics 3.79 n=36 —
C222 Algorithms in Computational Genomics 3.52 n=13 small sample —
CM224 Machine Learning Applications in Genetics 3.73 n=56 —
M225 Computational Methods in Genomics 3.75 n=15 small sample —
M226 Machine Learning in Bioinformatics 3.81 n=90 —
M229S Seminar: Current Topics in Bioinformatics 3.83 n=29 —
230 Software Engineering 3.47 n=59 —
231 Types and Programming Languages 3.61 n=29 —
236 Computer Security 3.84 n=34 —
238 Quantum Programming 3.48 n=63 —
238B Quantum Algorithms 3.52 n=48 —
M238 Quantum Programming 3.52 n=136 —
239 Current Topics in Computer Science: Programming Languages and Systems: Lecture 2 3.68 n=174 —
245 Big Data Analytics 3.66 n=357 2 sections
247 Advanced Data Mining 3.80 n=198 —
249 Current Topics in Data Structures: To Mock a Mockingbird 3.92 n=258 —
251A Advanced Computer Architecture 3.79 n=230 1 section
251B Parallel Computer Architectures 3.68 n=73 —
254A Advanced Graphics Processing Unit Microarchitecture for Artificial Intelligence and Graphics Rendering no grade history —
M258A Design of VLSI Circuits and Systems no grade history —
259 Current Topics in Computer Science: System Design/Architecture: Neural Rendering Architectures 3.87 n=379 —
260 Machine Learning Algorithms 3.75 n=165 2 sections
260B Algorithmic Machine Learning 3.75 n=214 —
260C Deep Learning 3.93 n=182 —
260D Large-Scale Machine Learning 3.48 n=256 —
260E Computational Ethics and Large Language Models no grade history —
260R Reinforcement Learning 3.43 n=204 —
261 Deep Generative Models 3.69 n=47 —
262A Learning and Reasoning with Bayesian Networks 3.56 n=198 —
263 Natural Language Processing 3.79 n=456 —
264A Automated Reasoning: Theory and Applications 3.54 n=309 3 sections
267A Probabilistic Programming and Relational Learning 3.76 n=168 —
269 Seminar: Current Topics in Artificial Intelligence: Seminar 93 3.93 n=692 6 sections
275 Artificial Life for Computer Graphics and Vision 3.85 n=128 —
281A Computability and Complexity 3.75 n=24 —
M282A Cryptography 3.49 n=99 1 section
M282B Cryptographic Protocols 3.81 n=23 —
285CC Communication Complexity 3.78 n=29 —
289A Current Topics in Computer Theory: Cutting-Edge Papers in Complexity-Theoretic Cryptography 3.84 n=77 —
298 Research Seminar: Computer Science no letter grades 69 sections
375 Teaching Apprentice Practicum no letter grades —
495 Teaching Assistant Training Seminar no letter grades 1 section
596 Directed Individual or Tutorial Studies no letter grades —

“Predicted” is shrunk toward the department average, so a course taught once to a dozen students sits near the department mean rather than at whatever those twelve happened to get. The figure is always shown — small sample marks where it rests mostly on that prior.