Related Pages 
Fall Term 2022-23
Applied & Computational Mathematics
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| ACM 80a (Letter Grade) | Undergraduate Thesis | - | - | - |
| ACM 81a (Letter Grade or Pass/Fail) | Undergraduate Projects in Applied and Computational Mathematics | - | - | - |
| ACM/IDS 101a (4-4-4) (Letter Grade or Pass/Fail) | Methods of Applied Mathematics | Bruno | TTh 2:30-4:25 | 213 ANB |
| ACM/IDS 104 (3-1-5) (Letter Grade or Pass/Fail) | Applied Linear Algebra | Zuev | TTh 10:30-11:55 | 119 KRK |
| ACM/EE 106a (3-0-9) (Letter Grade or Pass/Fail) | Introductory Methods of Computational Mathematics | Hou | TTh 1:00-2:25 | 104 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 |
| ACM/EE/IDS 116 (3-1-5) (Letter Grade or Pass/Fail) | Introduction to Probability Models | Zuev | TTh 9:00-10:25 | 119 KRK |
| CMS/ACM 117 (4-0-8) (Letter Grade or Pass/Fail) | Probability Theory and Stochastic Processes | Tropp |
M 2:30-3:55 TTh 10:30-11:55 |
213 ANB |
| CMS/ACM/EE 122 (3-0-9) (Letter Grade or Pass/Fail) | Mathematical Optimization | Chandrasekaran | MWF 10:00-11:25 | 105 ANB |
| 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 131 (3-0-6) (Letter Grade) | Linear Systems Theory | Chung | TTh 2:30-3:55 | 104 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/ACM/IDS 107 (3-0-9) (Letter Grade or Pass/Fail) | Linear Analysis with Applications | Stuart | TTh 9:00-10:25 | 213 ANB |
| CMS/ACM 117 (4-0-8) (Letter Grade or Pass/Fail) | Probability Theory and Stochastic Processes | Tropp |
M 2:30-3:55 TTh 10:30-11:55 |
213 ANB |
| CMS/ACM/EE 122 (3-0-9) (Letter Grade or Pass/Fail) | Mathematical Optimization | Chandrasekaran | MWF 10:00-11:25 | 105 ANB |
| CMS/Ec 248 (3-0-6) (Letter Grade) | Topics in Learning and Games | Mazumdar | TTh 1:00-2:25 | 213 ANB |
| CMS 290a (1-0-0) (Pass/Fail) | Computing and Mathematical Sciences Colloquium | Faculty | M 4:00-4:55 | 105 ANB |
| CMS 300 (Pass/Fail) | 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 | Hovik |
Lab: T 1:00-9:00 PM (sections 1-8) MWF 2:00-2:55 |
102 STL 119 KRK |
| CS 1x (2-2-2) (Pass/Fail) | Intermediate Computer Programming | Vanier | W 4:00-4:55 | 104 ANB |
| CS 9 (1-0-0) (Pass/Fail) | Introduction to Computer Science Research | Low | Th 12:00-12:55 | 105 ANB |
| CS 11 (0-3-0) (Pass/Fail) |
Computer Language Lab CS 1 or instructor's permission is required Sec 1 (C track) |
Vanier | T 9/27, OM 9:00-10:00 PM | 105 ANB |
| CS 12 (0-3-0) (Pass/Fail) | Student-Taught Topics in Computing | Blank/Ralph |
Section 2: OM, T 7:00-7:55 PM Section 7: OM, T 7:00-7:55 PM Section 8: OM, T 8:00-8:55 PM |
105 ANB 104 ANB 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 2:00-2:55 | Beckman Institute Auditorium |
| CS 80a (Letter Grade) | Undergraduate Thesis | - | - | - |
| CS 81a (Pass/Fail) | Undergraduate Projects in Computer Science | Staff | - | - |
| CS 90 (Pass/Fail) | Undergraduate Reading in Computer Science | Staff | - | - |
| CS 101 (Letter Grade) | Special Topics in Computer Science | Bouman | OM 9/28 W 10:00-11:00 | 104 ANB |
| CS 102a (Pass/Fail) | Seminar in Computer Science | Staff | - | - |
| CS 103a (Pass/Fail) | Reading in Computer Science | Staff | - | - |
| CS 111 (0-3-0) (Pass/Fail) | Graduate Programming Practicum: C track | Vanier | OM 9/27 T 9:00-10:00 PM | 105 ANB |
| CS/IDS 142 (3-2-4) (Letter Grade) | Distributed Computing | Chandy | TTh 1:00-2:30 | 105 ANB |
| CS/IDS 150a (3-0-6) (Letter Grade or Pass/Fail) | Probability and Algorithms | Schulman | MWF 10:00-10:55 | 213 ANB |
| CS/CNS/EE 156a (3-1-5) (Letter Grade or Pass/Fail) | Learning Systems | Abu-Mostafa |
TTh 2:30-3:55 OM T 12:00-12:55 |
BCK Institute Auditorium BAX Lecture Hall |
| CS 164 (3-0-6) | Compilers | Vanier | MWF 11:00-12:00 | 104 ANB |
| CS/CNS 171 (Letter Grade or Pass/Fail) | Computer Graphics Laboratory | Barr | MWF 3:00-3:55 | 105 ANB |
| CS 180 (Pass/Fail) | Master's Thesis Research | Faculty | - | - |
| CS 280 (Pass/Fail) | Research in Computer Science | Faculty | - | - |
| CS 286a (3-3-3) (Pass/Fail) | Seminar in Computer Science: Research seminar on quantum computing and theoretical computer science | Mahadev | F 1:00-3:55 | 213 ANB |
Information and Data Systems
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| ACM/IDS 101a (4-4-4) (Letter Grade or Pass/Fail) | Methods of Applied Mathematics | Bruno | TTh 2:30-4:25 | 213 ANB |
| ACM/IDS 104 (3-1-5) (Letter Grade or Pass/Fail) | Applied Linear Algebra | Zuev | TTh 10:30-11:55 | 119 KRK |
| 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 | 119 KRK |
| CS/IDS 142 (3-2-4) (Letter Grade) | Distributed Computing | Chandy | TTh 1:00-2:30 | 104 ANB |
| CS/IDS 150a (3-0-6) (Letter Grade or Pass/Fail) | Probability and Algorithms | Schulman | MWF 10:00-10:55 | 213 ANB |
| 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 2022-23
Applied & Computational Mathematics
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| ACM 80b | Undergraduate Thesis | Staff | - | - |
| ACM 81b | Undergraduate Projects in Applied and Computational Mathematics | Staff | - | - |
| ACM 95/100a | Introductory Methods of Applied Mathematics | Zuev | - | - |
| ACM/IDS 101b | Methods of Applied Mathematics | Bruno | - | - |
| ACM 105 | Applied Real and Functional Analysis | Leong | - | - |
| ACM/EE 106b | Introductory Methods of Computational Mathematics | Hou | - | - |
| ACM 118 | Stochastic Processes and Regression | Owhadi | - | - |
| ACM 190 | Reading and Independent Study | Staff | - | - |
| ACM/IDS 216 | Markov Chains, Discrete Stochastic Processes and Applications | Owhadi | - | - |
| ACM 217 | Advanced Topics in Probability | Tropp | - | - |
| ACM 256 | Special Topics in Applied Mathematics | Baptista/Hoffmann | - | - |
| ACM 300 | Research in Applied & Computational Mathematics | Staff | - | - |
Control & Dynamical Systems
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| CDS 90b | Senior Thesis in Control and Dynamical Systems | Staff | - | - |
| CDS 112 | Optimal Control and Estimation | Murray | - | - |
| CDS 141 | Network Control Systems | Doyle | - | - |
| CDS 190 | Independent Work in Control and Dynamical Systems | Staff | - | - |
| CDS 232 | Nonlinear Dynamics | Ames | - | - |
| 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 | Hou | - | - |
| CMS/CS/EE/IDS 144 | Networks: Structure & Economics | Wierman/Mazumdar | - | - |
| CMS/CS/CNS/EE/IDS 155 | Machine Learning and Data Mining | - | - |
Computer Science
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| CS 2 | Introduction to Programming Methods | Blank | - | - |
| CS 4 | Fundamentals of Computer Programming | Vanier | - | - |
| CS 11 / 111 | 011: Computer Language Lab / 111: Graduate Programming Practicum | - | - | |
| CS 12 | Student-Taught Topics in Computing | Blank / Ralph | - | - |
| CS 19b | Introduction to Computer Science in Industry | Ralph | - | - |
| CS 21 | Decidability and Tractability | Umans | - | - |
| CS 22 | Data Structures and Parallelism | Blank | - | - |
| CS 42 | Computer Science Education in K14 Settings | Ralph/Wierman | - | - |
| CS 80a | Undergraduate Thesis | Staff | - | - |
| CS 80b | Undergraduate Thesis | Staff | - | - |
| CS 80c | Undergraduate Thesis | Staff | - | - |
| CS 81b | Undergraduate Projects in Computer Science | Ralph | - | - |
| CS 90 | Undergraduate Reading in Computer Science | Ralph | - | - |
| CS 121 | Relational Databases | Hovik | - | - |
| CS 128 | Interactive Theorem Proving | Vanier | - | - |
| CS 130 | Software Engineering | Pinkston | - | - |
| CS/EE 146 | Control and Optimization of Networks | Low | - | - |
| CS/IDS 162 | Data, Algorithms and Society | Ralph / Mushkin | - | - |
| CS/CNS/EE/IDS 165 | Foundations of Machine Learning and Statistical Inference | Anandkumar | - | - |
| CS/ACM 177a | Discrete Differential Geometry: Theory and Applications | Schroeder | - | - |
| CS 180 | Master's Thesis Research | Staff | - | - |
| CS 280 | Research in Computer Science | Staff | - | - |
Information and Data Systems
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| IDS 197 | Staff | - | - | |
| IDS 198 | Staff | - | - | |
| IDS 199 | Staff | - | - |
Spring Term 2022-23
Applied & Computational Mathematics
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| ACM 11 | Introduction to Matlab and Mathematica | Baptista | - | - |
| ACM 80c | Undergraduate Thesis | Staff | - | - |
| ACM 81c | Undergraduate Projects in Applied and Computational Mathematics | Staff | - | - |
| ACM 95/100b | Introductory Methods of Applied Mathematics | Meiron | - | - |
| ACM/EE/IDS 170 | Mathematics of Signal Processing | Hassibi | - | - |
| ACM/IDS 180a | Multiscale Modeling | Stuart | - | - |
| ACM 190 | Reading and Independent Study | Staff | - | - |
| ACM 206 | Topics in Computational Mathematics | Webber | - | - |
| ACM 270 | Advanced Topics in Applied & Computational Mathematics | Leong | - | - |
| ACM 300 | Research in Applied and Computational Mathematics | Staff | - | - |
Control & Dynamical Systems
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| CDS 90c | 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 245 | Data-driven Control | Chung | - | - |
| CDS 270 | Advanced Topics in Systems and Control | Chung | - | - |
| CDS 300c | Research in Control and Dynamical Systems | Staff | - | - |
Computing and Mathematical Sciences
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| CMS 290c | Computing and Mathematical Sciences Colloquium | Hou | - | - |
Computer Science
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| CS 1 | Introduction to Computer Programming | Hovik | - | - |
| CS 3 | Introduction to Software Design | Blank | - | - |
| CS 12 | Student-Taught Topics in Computing | Blank / Ralph | - | - |
| CS 38 / 138 | 38: Algorithms / 138: Computer Algorithms | Schroeder | - | - |
| CS 42 | Computer Science Education in K14 Settings | Ralph/Wierman | - | - |
| CS 80a | Undergraduate Thesis | Staff | - | - |
| CS 80b | Undergraduate Thesis | Staff | - | - |
| CS 80c | Undergraduate Thesis | Staff | - | - |
| CS 81c | Undergraduate Projects in Computer Science | Ralph | - | - |
| CS 90 | Undergraduate Reading in Computer Science | Ralph | - | - |
| CS 115 | Functional Programming | Vanier | - | - |
| CS 124 | Operating Systems | Pinkston | - | - |
| CS 131 | Programming Languages | Vanier | - | - |
| CS 132 | Web Development | Hovik | - | - |
| CS 137 | Algorithms in the Real World | Blank | - | - |
| CS/EE 145 | Projects in Networking | Wierman | - | - |
| CS/IDS 150b | Probability and Algorithms | Schulman | - | - |
| CS 151 | Complexity Theory | Umans | - | - |
| CS/IDS 153 | Current Topics in Theoretical Computer Science | Mahadev | - | - |
| CS/CNS/EE 156b | Learning Systems | Abu-Mostafa | - | - |
| CS/CNS/EE/IDS 159 | Advanced Topics in Machine Learning | Yue | - | - |
| CS 179 | GPU Programming | Barr | - | - |
| CS 180 | Master's Thesis Research | Staff | - | - |
| CS 280 | Research in Computer Science | Staff | - | - |
Information and Data Systems
| Course (Units/Grade) | Subject | Instructor | Time | Room |
|---|---|---|---|---|
| IDS/ACM/CS 157 | Statistical Inference | Zuev | - | - |
| IDS 197 | Staff | - | - | |
| IDS 198 | Staff | - | - | |
| IDS 199 | Staff | - | - |