Course Schedule
Course schedules for upcoming terms are subject to change up to ten weeks before the term begins. Please check this page again to confirm times and locations. [Key to abbreviations] [Moodle Course Websites]
Fall | Winter | Spring
Fall Term 2021-22
| Course (Units/Grade) | Subject | Instructor | Time | Room | |
| Applied & Computational Mathematics | |||||
|---|---|---|---|---|---|
|
ACM 80a
(Letter Grade) |
Undergraduate Thesis | Staff | - | - | |
|
ACM 81a
(Letter Grade or Pass/Fail) |
Undergraduate Projects in Applied and Computational Mathematics | Staff | - | - | |
|
ACM/IDS 101a
(4-4-4) (Letter Grade or Pass/Fail) |
Methods of Applied
Mathematics |
Bruno | TTh 2:30-4:25 | 104 ANB | |
|
ACM/IDS 104
(3-1-5) (Letter Grade or Pass/Fail) |
Applied Linear Algebra | Zuev | TTh 10:30-11:55 | Remote | |
|
ACM/EE 106a
(3-0-9) (Letter Grade or Pass/Fail) |
Introductory Methods of Computational Mathematics | Hou | MW 1:00-2:30 | Remote | |
|
CMS/ACM/IDS 107
(3-0-9) (Letter Grade or Pass/Fail) |
Linear Analysis with Applications | Stuart | TTh 9:00-10:25 | 213 ANB | |
|
ACM/EE/IDS 116
(3-1-5) (Letter Grade or Pass/Fail) |
Introduction to Probability Models | Zuev | TTh 9:00-10:25 | Remote | |
|
ACM/CMS 117
(3-0-9) (Letter Grade or Pass/Fail) |
Probability Theory and Stochastic Processes | Tropp |
M 2:30-4:00
TTh 10:30-12:00 |
213 ANB | |
|
CMS/ACM/EE 122
(3-0-9) |
Mathematical Optimization | Chandrasekaran | MWF 10:30-11:55 | 105 ANB | |
|
ACM/IDS 154
(3-0-6) (Letter Grade or Pass/Fail) |
Inverse Problems and Data Assimilation | Stuart | TTh 1:00-2:25 | Remote | |
|
ACM 190
(Letter Grade or Pass/Fail) |
Reading and Independent Study | Staff | - | - | |
|
ACM 300
(Pass/Fail) |
Research in Applied and Computational | Staff | - | - | |
| Control & Dynamical Systems | |||||
|
CDS 90a
(Letter Grade) (0-0-9) |
Senior Thesis in Control and Dynamical Systems | Staff | - | - | |
|
CDS 131
(3-0-6) (Letter Grade) |
Linear Systems Theory | Chung | MWF 2:00-2:55 | 105 ANB | |
|
CDS 190
(Pass/Fail) |
Independent Work in Control and Dynamical Systems | Staff | - | - | |
|
CDS 300a
(Pass/Fail) |
Research in Control and Dynamical Systems | Staff | - | - | |
| Computing and Mathematical Sciences | |||||
|
CMS/ACM/IDS 107
(3-0-9) (Letter Grade or Pass/Fail) |
Linear Analysis with Applications | Stuart | TTh 9:00-10:25 | Remote | |
|
CMS/ACM 117
(3-0-9) (Letter Grade or Pass/Fail) |
Probability Theory and Stochastic Processes | Tropp | MTTh 1:00-3:25 | 104 ANB | |
|
CMS/ACM/EE 122
(3-0-9) |
Mathematical Optimization | Chandrasekaran | MWF 10:30-11:55 | 104 ANB | |
|
CMS 290a
(1-0-0) (Pass/Fail) |
Computing & Mathematical Sciences Colloquium | Hou | M 4:00-4:55 | Remote | |
|
CMS 300
(Pass/Fail) |
Research in Computing & Mathematical Sciences | Faculty | - | - | |
| Computer Science | |||||
|
CS 1
(3-4-2) (Pass/Fail) |
Intermediate Computer Programming | Hovik | MWF 2:00-2:55 | Remote | |
|
CS 1x
(2-2-2) (Pass/Fail) |
Intermediate Computer Programming | Vanier | OM T 9/28 7:00-8:00pm | 105 ANB | |
|
CS 9
(1-0-0) (Pass/Fail) |
Introduction to Computer Science Research | Low | Th 12:00-12:55 | Remote | |
|
CS 11
(0-3-0) (Pass/Fail) |
Computer Language Lab
(CS 1 or instructor's permission is required / Sec 1: C / Sec 10: ICPC (cancelled) / Sec 11: cancelled, offered as CS 12, Sec 1 / Sec 12: Projects / Sec 13: cancelled, offered as CS 12, Sec 2: Technical Interviewing / Sec 15: Rust) |
Vanier/Blank |
CS11: OM, M 9:00-9:55
CS11 Section 10: OM, M 9:00-9:55 |
Beckman Auditorium | |
|
CS 12
(0-3-0) Pass/Fail |
Student-Taught Topics in Computing
(Sec 1: TensorFlow / Sec 2: Technical Interviewing) |
Vanier/Blank/Ralph | OM (Section 2, Technical Interviewing), M 8:00-9:00 |
Sec 1:
105 ANB Sec 2: Beckman Auditorium |
|
|
CS 24
(3-3-3) (Letter Grade or Pass/Fail) |
Introduction to Computing Systems | Blank | MWF 2:00-2:55 | Beckman Auditorium | |
|
CS 80
(Letter Grade) |
Undergraduate Thesis | Faculty | - | - | |
|
CS 81a
(Pass/Fail) |
Undergraduate Projects in Computer Science | Faculty | - | - | |
|
CS 90
(Pass/Fail) |
Undergraduate Research in Computer Science | Faculty | - | - | |
|
CS 101
(Letter Grade) |
Special Topics in Computer Science: Projects in Machine Learning | Bouman | OM M 10:00-10:55 | 105 ANB | |
|
CS 101, Section 2
(3-0-6) |
Special Topics in Computer Science: Networks of Relations | Cook | TTh 1:00-2:25 | - | |
| CS 102a | Seminar in Computer Science | Faculty | - | - | |
| CS 103a | Reading in Computer Science | Faculty | - | - | |
|
CS 111
(0-3-0) |
Graduate Programming Practicum
(For graduate students only / Sec 1: C / Sec 11: Special Topics / Sec 12: Projects / Sec 13: Interview Preparation / Sec 15: Rust) |
Vanier/Blank | OM M 9:00-9:55pm | 105 ANB | |
|
CS/IDS 142
(3-2-4) (Letter Grade or Pass/Fail) |
Distributed Computing | Chandy | MWF 1:00-1:55 | Remote | |
|
CS/IDS 150a
(3-0-6) (Letter Grade or Pass/Fail) |
Probability and Algorithms | Schulman | MWF 10:00-10:55 | North Tent | |
|
CS 152
(3-0-9) (Letter Grade or Pass/Fail) |
Introduction to Cryptography | Vidick | TTh 10:30-11:55 | South Tent | |
|
CS/CNS/EE 156a
(3-1-5) (Letter Grade or Pass/Fail) |
Learning Systems | Abu-Mostafa | OM 9/27 4:00-4:55 Beckman Auditorium | Remote | |
|
CS/CNS 171
(Letter Grade or Pass/Fail) |
Computer Graphics Laboratory | Barr | MWF 3:00-3:55 | 105 ANB | |
| CS 180 | Master's Thesis Research | Faculty | - | - | |
|
CS 280
(Pass/Fail) |
Research in Computer Science | Faculty | - | - | |
|
CS 286
(3-0-3) (Pass/Fail) |
Seminar in Computer Science: Research seminar on advanced topics in quantum computing | Mahadev | F 1:00-4:00 | 213 ANB | |
| CS 287 | Center for the Mathematics of Information Seminar | Staff | T 4:00-4:55 | 105 ANB | |
| Information and Data Systems | |||||
|
IDS/Ec/PS 126
(3-0-6) |
Applied Data Analysis | Katz | MWF 10:30-11:55 | Baxter Lecture Hall | |
|
IDS 197
(Pass/Fail) |
Undergraduate Reading in the Information and Data Sciences | Staff | - | - | |
|
IDS 198
(Pass/Fail) |
Undergraduate Projects in Information and Data Sciences | Staff | - | - | |
|
IDS 199
(1-0-8) (Letter Grade) |
Undergraduate thesis in the Information and Data Sciences | Staff | - | - | |
Winter Term 2021-22
| Course (Units/Grade) | Subject | Instructor | Time | Room | |
| Applied & Computational Mathematics | |||||
|---|---|---|---|---|---|
|
ACM 80b
(Letter Grade) (9) |
Undergraduate Thesis | Staff | - | - | |
|
ACM 81b
(Letter Grade or Pass/Fail) |
Undergraduate Projects in Applied and Computational Mathematics | Staff | - | - | |
|
ACM 95/100a
(Letter Grade or Pass/Fail) (4-0-8) |
Introductory Methods of Applied Mathematics | Zuev | MWF 11:00-12:15 | - | |
|
ACM/IDS 101b
(Letter Grade or Pass/Fail) (4-4-4) |
Methods of Applied Mathematics | Bruno | TTh 2:30-4:25 | 104 ANB | |
|
ACM 105
(Letter Grades or Pass/Fail) (3-0-6) |
Applied Real and Functional Analysis | Leong | MW 10:30-12:00 | 106 ANB | |
|
ACM/EE 106b
(Letter Grade or Pass/Fail) (3-0-9) |
Introductory Methods of Computational Mathematics | Hou | TTh 1:00-2:25 | 105 ANB | |
|
ACM 118
(Letter Grade or Pass/Fail) (3-0-9) |
Stochastic Processes and Regression | Owhadi | MW 1:00-2:25 | 104 ANB | |
|
ACM 190
(Pass/Fail) |
Reading and Independent Study | Staff | - | - | |
|
ACM/IDS 204
(Letter Grade or Pass/Fail) (3-0-6) |
Topics in Linear Algebra and Convexity: Matrix Analysis | Tropp | TTh 10:30-11:55 | 104 ANB | |
|
ACM/IDS 216
(Letter Grade or Pass/Fail) (3-0-6) |
Markov Chains, Discrete Stochastic Processes and Applications | Owhadi | TTh 9:00-10:25 | 105 ANB | |
|
ACM 300
(Pass/Fail) |
Research in Applied & Computational Mathematics | Staff | - | - | Control & Dynamical Systems |
|
CDS 90b
(Letter Grade) (0-0-9) |
Senior Thesis in Control and Dynamical Systems | Staff | - | - | |
|
CDS 112
(3-0-6) (This class is cross-listed with Ae 103a) |
Optimal Control and Estimation | Murray | MWF 2:00-2:55 | 213 ANB | |
|
CDS 190
(Pass/Fail) |
Independent Work in Control and Dynamical Systems | Staff | - | - | |
|
CDS 231
(Letter Grade or Pass/Fail) (3-2-4) |
Robust Control Theory | Doyle | TTh 1:00-2:25 | 104 ANB | |
|
CDS 232
(Letter Grade or Pass/Fail) (3-0-6) |
Nonlinear Dynamics | Niemeyer | TTh 2:30-3:55 | 213 ANB | |
|
CDS 300b
(Pass/Fail) |
Research in Control and Dynamical Systems | Faculty | - | - | |
| Computing and Mathematical Sciences | |||||
|
CMS/CS/IDS 139
(Letter Grade or Pass/Fail) (3-0-9) |
Analysis and Design of Algorithms | Vidick | MW 10:30-11:55 | 213 ANB | |
|
CMS/CS/EE/IDS 144
(Letter Grade or Pass/Fail) (3-4-5) |
Networks: Structure & Economics | Wierman | MWF 1:00-2:30 | 105 ANB | |
|
CMS/CS/CNS/EE/IDS 155
(Letter Grade or Pass/Fail) (3-3-6) |
Machine Learning and Data Mining | Yue | TTh 2:30-3:55 | Beckman Auditorium | |
|
CMS 290
(Pass/Fail) (1-0-0) |
Computing & Mathematical Sciences Colloquium | Hou | M 4:00-4:55 | 105 ANB | |
|
CMS 300
(Pass/Fail) |
Research in Computing & Mathematical Sciences | Staff | - | - | |
| Computer Science | |||||
|
CS 2
(Pass/Fail) (3-5-1) |
Introduction to Programming Methods | Blank | MWF 2:00-2:55 | - | |
|
CS 4
(Letter Grade) (3-4-2) |
Fundamentals of Computer Programming | Vanier | MWF 3:00-3:55 | - | |
|
CS 11/111
(Pass/Fail) (0-3-0) |
Computer Language Lab | Hovik/Vanier | 9:00-9:55pm | OM,M | |
|
CS 12
(Pass/Fail) (0-3-0) |
Student-Taught Topics in Computing | Blank | OM,M 8:00-8:55pm | 105 ANB | |
|
CS 21
(Grades) (3-0-6) |
Decidability and Tractability | Umans | MWF 1:00-2:00 | Beckman Auditorium | |
|
CS 22
(Letter Grade or Pass/Fail) (3-6-0) |
Data Structures and Parallelism | Blank | MWF 11:00-11:55 | 105 ANB | |
|
CS 42
(Pass/Fail) (2-2-2) |
Computer Science Education in K14 Settings | Ralph/Wierman | F 12:00-3:55 | 106 ANB | |
|
CS 80
(Letter Grade) (9) |
Undergraduate Thesis | Faculty | - | - | |
|
CS 81a
(Pass/Fail) |
Undergraduate Laboratory in Computer Science | Faculty | - | - | |
|
CS 90
(Pass/Fail) |
Undergraduate Reading in Computer Science | Faculty | - | - | |
|
CS 101
(Letter Grade) (3-4-2) |
Special Topics in Computer Science: Interactive Theorem Proving | Vanier | MWF 10:00-10:55 | 104 ANB | |
|
CS 102b
(Letter Grade or Pass/Fail) |
Seminar in Computer Science | Faculty | - | - | |
|
CS 103a
(Pass/Fail) |
Reading in Computer Science | Faculty | - | - | |
|
CS 118
(Letter Grade) (3-3-3) |
Automata-Theoretic Software Analysis | Holzmann | TTh 1:00-2:25 | 106 ANB | |
|
CS/IDS 121
(Letter Grade or Pass/Fail) (3-0-6) |
Relational Databases | Hovik | TTh 9:00-10:30 | - | |
|
CS 130
(3-3-3) |
Software Engineering | Pinkston | MWF 11:00-11:55 | 104 ANB | |
|
CS/EE 146
(Letter Grade or Pass/Fail) (3-3-3) |
Control and Optimization of Networks | Low | TTh 10:30-11:55 | 314 ANB | |
|
CS/CNS/EE/IDS 165
(Letter Grade or Pass/Fail) (3-3-6) |
Foundations of Machine Learning and Statistical Inference | Anandkumar | TTh 1:00-2:25 | South Tent | |
|
CS/ACM 177a
(Letter Grade or Pass/Fail) (3-3-3) |
Discrete Differential Geometry: Theory and Applications | Schröder | TTh 10:30-11:55 | 213 ANB | |
|
CS 180
(Pass/Fail) |
Master's Thesis Research | Faculty | - | - | |
|
CS 280
(Pass/Fail) |
Research in Computer Science | Faculty | - | - | |
| Information and Data Systems | |||||
|
IDS 197
(Pass/Fail) |
Undergraduate Reading in the Information and Data Sciences | Staff | - | - | |
|
IDS 198
(Pass/Fail) |
Undergraduate Projects in Information and Data Sciences | Staff | - | - | |
|
IDS 199
(Letter Grade) (1-0-8) |
Undergraduate Thesis in the Information and Data Sciences | Staff | - | - | |
Spring Term 2021-22
| Course (Units/Grade) | Subject | Instructor | Time | Room | |
| Applied & Computational Mathematics | |||||
|---|---|---|---|---|---|
|
ACM 11
(2-2-2) |
Introduction to Matlab and Mathematica | Qian | - | - | |
|
ACM 80c
(9)(Letter Grade) |
Undergraduate Thesis | Staff | - | - | |
|
ACM 81c
(Pass/Fail) |
Undergraduate Projects in Applied and Computational Mathematics | Staff | - | - | |
|
ACM 95/100b
(Letter Grade or Pass/Fail) (4-0-8) |
Introductory Methods of Applied Mathematics | Meiron | - | - | |
|
AM/ACM 127
(3-0-6) |
Calculus of Variations | Bhattacharya | - | - | |
|
ACM 190
(Pass/Fail) |
Reading and Independent Study | Staff | - | - | |
|
ACM/IDS 213
(3-0-6) |
Topics in Optimization | Qian | - | - | |
| ACM 270-1 | Advanced Topics in Applied & Computational Mathematics | Leong | - | - | |
|
ACM 300
(Pass/Fail) |
Research in Applied & Computational Mathematics | Staff | - | - | |
| Control & Dynamical Systems | |||||
|
CDS 90c
(Letter Grade) (0-0-9) |
Senior Thesis in Control and Dynamical Systems | Staff | - | - | |
|
CDS 110
(3-3-3) |
Introduction to Feedback Control Systems | Seinfeld | - | - | |
|
CDS 190
(Pass/Fail) |
Independent Work in Control and Dynamical Systems | Staff | - | - | |
|
CDS 141
(3-2-4) |
Network Control Systems | Doyle | - | - | |
|
CDS 233
(3-0-6) |
Nonlinear Control | Ames | - | - | |
| CDS 270-2 | Advance Topics in Systems and Control | Chung | - | - | |
|
CDS 300abc
(Pass/Fail) |
Research in Control and Dynamical Systems | Faculty | - | - | |
| Computing and Mathematical Sciences | |||||
|
CMS 290c
(Pass/Fail) (1-0-0) |
Computing & Mathematical Sciences Colloquium | Hou | - | - | |
|
CMS 300
(Pass/Fail) |
Research in Computing & Mathematical Sciences | Staff | - | - | |
| Computer Science | |||||
|
CS 3
(1-6-2) |
Introduction to Software Design | Blank | - | - | |
|
CS 11
(Pass/Fail) (0-3-0) |
Computer Language Lab | Vanier | - | - | |
|
CS 12
(0-3-0) Pass/Fail |
Student-Taught Topics in Computing | - | - | - | |
|
CS 38
(3-0-6) (Letter Grade or Pass/Fail) |
Algorithms | Schröder | - | - | |
|
CS 42
(Pass/Fail) (2-2-2) |
Computer Science Education in K14 Settings | Ralph/Wierman | - | - | |
|
CS 80
(9)(Letter Grade) |
Undergraduate Thesis | Faculty | - | - | |
|
CS 81a
(Pass/Fail) |
Undergraduate Laboratory in Computer Science | Faculty | - | - | |
|
CS 90
(Pass/Fail) |
Undergraduate Research in Computer Science | Faculty | - | - | |
| CS 101 | Special Topics in Computer Science | Mahadev | - | - | |
| CS 102c | Seminar in Computer Science | Faculty | - | - | |
| CS 103a | Reading in Computer Science | Faculty | - | - | |
|
CS 111
(0-3-0) |
Graduate Programming Practicum | Vanier | - | - | |
|
CS 124
(3-6-3) |
Operating Systems | Pinkston | - | - | |
| CS 132 | Special Topics in Computer Science: Web Development | Hovik | - | - | |
|
CS 137
(2-9-1) |
Algorithms in the Real World | Blank | - | - | |
|
CS 138
(Letter Grade or Pass/Fail) (3-0-6) |
Algorithms | Schröder | - | - | |
|
CS/EE 145
(0-0-9) |
Projects in Networking | Wierman | - | - | |
|
CS/Ec 149
(3-0-6) |
Algorithmic Economics | Sandormirskiy | - | - | |
|
CS/IDS 153
(3-0-6) |
Current Topics in Theoretical Computer Science | Schulman | - | - | |
|
CS/IDS 153
(3-0-6) |
Current Topics in Theoretical Computer Science | Umans | - | - | |
|
CS/CNS/EE 156b
(3-1-5) |
Learning Systems | Abu-Mostafa | - | - | |
|
CS/CNS/EE/IDS 159
(3-0-6) |
Advanced Topics in Machine Learning | Yue | - | - | |
|
CS/IDS 162
(3-0-6) |
Data, Algorithms and Society | Ralph | - | - | |
|
CS 163
(3-0-3) |
Making Data Visual | Slavick | - | - | |
|
CS/EE/IDS 166
(3-3-6) (Letter Grade or Pass/Fail) |
Computational Cameras | Bouman | - | - | |
|
CS/IDS 178
(3-3-3) |
Numerical Algorithms and their Implementation | Desbrun | - | - | |
|
CS 179
(3-3-3) (Letter Grade or Pass/Fail) |
GPU Programming | Barr | - | - | |
|
CS 180
(Pass/Fail) |
Master's Thesis Research | Faculty | - | - | |
|
CS 280
(Pass/Fail) |
Research in Computer Science | Faculty | - | - | |
| Information and Data Systems | |||||
|
IDS/ACM/CS 157
(3-2-4) |
Statistical Inference | Zuev | - | - | |
|
IDS 197
(Pass/Fail) |
Undergraduate Reading in the Information and Data Sciences | Staff | - | - | |
|
IDS 198
(Pass/Fail) |
Undergraduate Projects in Information and Data Sciences | Staff | - | - | |
|
IDS 199
(1-0-8) (Letter Grade) |
Undergraduate Thesis in the Information and Data Sciences | Staff | - | - | |