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]
Fall Term 2024-25
Applied & Computational Mathematics
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
|
ACM 80a (9) (Letter Grade) |
Undergraduate Thesis | Staff | - | - |
|
ACM 81a (Letter Grade or Pass/Fail) |
Undergraduate Projects in Applied and Computational Mathematics | Staff | - | - |
|
ACM/EE 106a (3-0-9) (Letter Grade or Pass/Fail) |
Introductory Methods of Computational Mathematics | Hou | TTh 1:00-2:25 | 104 ANB |
|
ACM/EE/IDS 116 (3-1-5) (Letter Grade or Pass/Fail) |
Introduction to Probability Models | Zuev | TTh 9:00-10:25 | 125 KRK |
|
ACM/IDS 101a (4-4-4) (Letter Grade or Pass/Fail) |
Methods of Applied Mathematics | Bruno | MW 10:00-11:55 | 213 ANB |
|
ACM/IDS 104 (3-1-5) (Letter Grade or Pass/Fail) |
Applied Linear Algebra | Zuev | TTh 10:30-11:55 | 125 KRK |
| ACM 190 (Pass/Fail) | Reading and Independent Study | Staff | - | - |
| ACM 300 (Pass/Fail) | Research in Applied and Computational Mathematics | Staff | - | - |
Control & Dynamical Systems
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
|
CDS 90a (0-0-9) (Letter Grade) |
Senior Thesis in Control and Dynamical Systems | Staff | - | - |
|
CDS 110 (3-3-3) (Letter Grade or Pass/Fail) |
Introduction to Feedback Control Systems | Mazumdar | TTh 10:30-11:55 | 213 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
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
|
CMS 9 (1-0-0) (Pass/Fail) |
Introduction to Computer Science Research | Low | Th 12:00-12:55 | 105 ANB |
|
CMS/ACM 117 (3-0-9) (Letter Grade or Pass/Fail) |
Probability Theory and Computational Mathematics | Tropp | MW 2:00-3:55 | 213 ANB |
|
CMS/ACM/EE 122 (4-0-8) (Letter Grade or Pass/Fail) |
Mathematical Optimization | Chandrasekaran | MW 10:00-11:55 | 105 ANB |
|
CMS/ACM/IDS 107 (3-0-9) (Letter Grade or Pass/Fail) |
Linear Analysis with Applications | Stuart | TTh 9:00-10:25 | 213 ANB |
|
CMS 290a (1-0-0) (Pass/Fail) |
Computing and Mathematical Sciences Colloquium | Hoffmann | M 4:00-4:55 | 105 ANB |
| CMS 300 | Research in Computing and Mathematical Sciences | Staff | - | - |
Computer Science
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
|
CS 1 (3-4-2) (Pass/Fail) |
Introduction to Computer Programming | Blank / Vanier | MWF 2:00-2:55 |
Beckman Institute Auditorium |
|
CS 1x (2-2-2) (Pass/Fail) |
Intermediate Computer Programming | Vanier | W 3:00-3:55 | 104 ANB |
|
CS 11/111 (0-3-0) (Pass/Fail) |
011: Computer Language Lab / 111: Graduate Programming Practicum | Hovik | OM M 9/30 9:00-10:00pm | 105 ANB |
|
CS 12 (0-3-0) (Pass/Fail) |
Student-Taught Topics in Computing | Staff |
OM M 9/30 7:00-8:00pm |
104 ANB |
|
CS 19a (1-0-1) (Pass/Fail) |
Introduction to Computer Science in Industry | Ralph | M 12:00-12:55 | 105 ANB |
|
CS 24 (3-3-3) (Letter Grade or Pass/Fail) |
Introduction to Computing Systems | Blank | MWF 11:00-11:55 | Beckman Institute |
|
CS 80a (Pass/Fail) |
Undergraduate Thesis | Staff | - | - |
|
CS 81a (Pass/Fail) |
Undergraduate Projects in Computer Science | Staff | - | - |
|
CS 90 (Pass/Fail) |
Undergraduate Reading in Computer Science | Staff | - | - |
| CS 132 | Web Development | Hovik | TTh 1:00-2:30 | 314 ANB |
|
CS 152 (3-0-9) (Letter Grade of Pass/Fail) |
Introduction to Crypotography | Mahadev | MW 1:00-2:25 | 104 ANB |
|
CS 163 (Letter Grade) |
Special Topics in Computer Science: Projects in Machine Learning | Bouman | OM M 9/30 10:00-11:00 | 104 ANB |
|
CS 164 (3-0-6) (Letter Grade) |
Compilers | Vanier | MWF 11:00-11:55 | 104 ANB |
|
CS/CNS 171 (3-6-3) (Letter Grade or Pass/Fail) |
Computer Graphics Laboratory | Barr | MWF 3:00-3:55 | 105 ANB |
|
CS/CNS/EE 156a (3-1-5) (Letter Grade or Pass/Fail) |
Learning Systems | Abu-Mostafa |
OM M 9/30 4:00-5:00pm (Baxter Lecture Hall) TTh 2:30-3:55 |
Baxter Lecture Hall |
|
CS/IDS 150a (3-0-6) (Letter Grade or Pass/Fail) |
Probability and Algorithms | Schulman | MWF 10:00-10:55 | 314 ANB |
|
CS/IDS 153 (3-0-6) (Letter Grade or Pass/Fail) |
Current Topics in Theoretical Computer Science | Umans | TTh 1:00-2:25 | 213 ANB |
|
CS/EE/IDS 143 (Letter Grade or Pass/Fail) |
Networks: Algorithms & Architecture | Wierman | TTh 10:30-11:55 | 105 ANB |
|
CS 180 (Pass/Fail) |
Master's Thesis Research | Faculty | - | - |
|
CS 280 (Pass/Fail) |
Research in Computer Science | Faculty | - | - |
Information and Data Systems
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
|
IDS/Ec/PS 126 (3-0-6) (Letter Grade) |
Applied Data Analysis | Katz | MW 10:30-11:55 | - |
|
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 2024-25
Applied & Computational Mathematics
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| ACM 80b | Undergraduate Thesis | Staff | - | - |
| ACM 81b | Undergraduate Projects in Applied and Computational Math | Staff | - | - |
| ACM 95/100a | Introductory Methods of Applied Mathematics | Zuev | MWF 11:00-12:15 | 125 KRK |
| ACM 118 | Stochastic Processes and Regression | Owhadi | MW 1:00-2:25 | 104 ANB |
| ACM 190 | Reading and Independent Study | Staff | - | - |
| ACM 256 | Special Topics in Applied Mathematics | Hoffmann | MW 10:00-11:25 | 104 ANB |
| ACM 300 | Research in Applied and Computational Mathematics | Staff | - | - |
| ACM/EE 106b | Introductory Methods of Computational Mathematics | Hou | TTh 1:00-2:25 | 104 ANB |
| ACM/IDS 101b | Methods of Applied Mathematics | Bruno | MW 10:00-11:55 | 213 ANB |
| ACM/IDS 154 | Inverse Problems and Data Assimilation | Carlson | TTh 10:30-11:55 | 213 ANB |
| ACM/IDS 216 | Markov Chains, Discrete Stochastic Processes and Applications | Owhadi | TTh 9:00-10:25 | 104 ANB |
Control & Dynamical Systems
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| CDS 90b | Senior Thesis in Control and Dynamical Systems | Ames | - | - |
| CDS 190 | Independent Work in Control and Dynamical Systems | Staff | ||
| CDS 131 | Linear Systems Theory | Doyle | MW 1:00-2:25 | 314 ANB |
| CDS 232 | Nonlinear Dynamics | Ames | MWF 4:00-5:25 | 135 GTL |
| CDS 245 | Data-driven Control | Chung | TTh 10:30-11:55am | 104 ANB |
| CDS 300b | Research in Control and Dynamical Systems | Staff | - | - |
Computing and Mathematical Sciences
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| CMS 290b | Computing and Mathematical Sciences Colloquium | Hoffmann | M 4:00-4:55 | 105 ANB |
| CMS 300 | Research in Computing and Mathematical Sciences | Staff | - | - |
| CMS/CS/CNS/EE 155 | Machine Learning & Data Mining | Yue | TTh 2:30-3:55 | Beckman Institute Auditorium |
| CMS/CS/EE/IDS 144 | Networks: Structure & Economics | Mazumdar | MWF 2:30-3:55 | 104 ANB |
Computer Science
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| CS 2 |
Introduction to Programming Methods: (Maximum enrollment: 16 students per section) |
Blank | MWF 2:00-2:55 | Beckman Institute Auditorium |
| CS 4 | Fundamentals of Computer Programming | Vanier | MWF 3:00-3:55 | Beckman Institute Auditorium |
| CS 11 / 111 | 011: Computer Language Lab CS 1 or instructor's permission is required. / Sec 1: C | Vanier | OM M 1/6 9:00-10:00pm | 105 ANB |
| CS 12 |
Student-Taught Topics in Computing Sec 9: Single Board Computers in Research |
Blank | OM M 1/6 8:00-9:00pm | 104 ANB |
| CS 21 | Decidability and Tractability | Umans | MWF 1:00-1:55 | 105 ANB |
| CS 42 | Computer Science Education in K14 Settings | Ralph/Wierman | W 2:00-3:00 | 121 ANB |
| CS 80b | Undergraduate Thesis | Staff | - | - |
| CS 81b | Undergraduate Projects in Computer Science | Staff | - | - |
| CS 90 | Undergraduate Reading in Computer Science | Staff | - | - |
| CS 101 | Special Topics in Computer Science: 3D Deep Learning | Gkioxari | TTh 1:00-2:25pm | 213 ANB |
| CS 102b | Seminar in Computer Science | Staff | - | - |
| CS 103b | Reading in Computer Science | Staff | - | - |
| CS 128 | Interactive Theorem Proving | Vanier | MWF 11:00-11:55 | 314 ANB |
| CS 130 | Software Engineering | Pinkston | MWF 11:00-11:55 | 105 ANB |
| CS 180 | Master's Thesis Research | Staff | - | - |
| CS 280 | Research in Computer Science | Staff | - | - |
| CS 282b | Reading in Computer Science | Staff | - | - |
| CS/CNS/EE/IDS 165 | Foundations of Machine Learning and Statistical Inference | Anandkumar | TTh 1:00-2:25 | 314 ANB |
| CS/EE 146 | Control and Optimization of Networks | Low | TTh 10:30-11:55 | 314 ANB |
| CS/IDS 121 | Relational Databases | Hovik | MWF 10:00-10:55 | 105 ANB |
| CS/IDS 162 |
Data, Algorithms and Society Taught concurrently with VC 162 / Maximum enrollment: 15 students between VC 162 and CS/IDS 162 / Instructor permission required to add [Apply] |
Ralph/Mushkin | TTh 2:30-3:55 | 104 ANB |
| CS/IDS 172 | Distributed Computing | Chandy | TTh 1:00-2:25 | 105 ANB |
Information and Data Systems
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| IDS 197 | Undergraduate Reading in the Information and Data Sciences | Staff | - | - |
| IDS 198 | Undergraduate Projects in Information and Data Sciences | Staff | - | - |
| IDS 199 | Undergraduate Thesis in the Information and Data Sciences | Staff | - | - |
Spring Term 2024-25
Applied & Computational Mathematics
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| ACM 011 |
Introduction to Computational Science and Engineering |
Carlson | - | - |
| ACM 080c | Undergraduate Thesis | Staff | - | - |
| ACM 081c | Undergraduate Projects in Applied and Computational Mathematics | Staff | - | - |
| ACM 95/100b | Introductory Methods of Applied Mathematics | Hoffmann | - | - |
| ACM 190 | Reading and Independent Study | Staff | - | - |
| ACM/IDS 204 | Topics in Linear Algebra and Convexity (Matrix Analysis) | Tropp | - | - |
| ACM 300 | Research in Applied and Computational Mathematics | Staff | - | - |
Control & Dynamical Systems
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| CDS 090c |
Senior Thesis in Control and Dynamical Systems |
Staff | - | - |
| CDS 190 | Independent Work in Control and Dynamical Systems | Staff | - | - |
| CDS 231 | Robust Control Theory | Doyle | - | - |
| CDS 233 | Nonlinear Control | Ames | - | - |
| CDS 300c | Research in Control and Dynamical Systems | Staff | - | - |
| CDS 212 | Optimal Control and Estimation | Chung | - | - |
Computing and Mathematical Sciences
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| CMS 290c | Computing and Mathematical Sciences Colloquium | Hoffmann | - | - |
| CMS 300 | Research in Computing and Mathematical Sciences | Staff | - | - |
Computer Science
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| CS 001 | Introduction to Computer Programming | Vanier | - | - |
| CS 003 | Introduction to Software Design | Staff | - | - |
| CS 012 | Student-Taught Topics in Computing | Staff | - | - |
| CS11/111 | 011: Computer Language Lab / 111: Graduate Programming Practicum | Staff | - | - |
| CS 012 | Student-Taught Topics in Computing | Staff | - | - |
| CS 038 / 138 | 038: Algorithms / 138: Computer Algorithms | Mahadev, Ralph | - | - |
| CS 080c | Undergraduate Thesis | Staff | - | - |
| CS 081c | Undergraduate Projects in Computer Science | Staff | - | - |
| CS 090 | Undergraduate Reading in Computer Science | Staff | - | - |
| CS 102c | Seminar in Computer Science | Staff | - | - |
| CS 103c | Reading in Computer Science | Staff | - | - |
| CS 115 | Functional Programming | Vanier | - | - |
| CS 131 | Programming Languages | Vanier | - | - |
| CS 151 | Complexity Theory | Umans | - | - |
| CS 179 | GPU Programming | Barr, Al | - | - |
| CS 180 | Master's Thesis Research | Staff | - | - |
| CS 280 | Research in Computer Science | Staff | - | - |
| CS/CNS/EE 156b | Learning Systems | Abu-Mostafa | - | - |
| CS/CNS/EE/IDS 159 | Advanced Topics in Machine Learning | Yisong | - | - |
| CS/Ec 149 | Algorithmic Economics | Niemeyer | - | - |
| CS/EE 145 | Projects in Networking | Wierman | - | - |
| CS/IDS 150b | Probability and Algorithms | Schulman | - | - |
Information and Data Systems
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| IDS 197 | Undergraduate Reading in the Information and Data Sciences | Staff | - | - |
| IDS 198 | Undergraduate Projects in Information and Data Sciences | Staff | - | - |
| IDS 199 | Undergraduate Thesis in the Information and Data Sciences | Staff | - | - |
| IDS/ACM/CS 157 | Statistical Inference | Zuev | - | - |