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]
Fall | Winter | Spring
Fall Term 2019-20
| Course (Units/Grade) | Subject | Instructor | Time | Room | |
| Applied & Computational Mathematics | |||||
|---|---|---|---|---|---|
|
ACM 80a
(Letter Grade) |
Undergraduate Thesis | Staff | - | - | |
|
ACM 81abc
(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 I |
Bruno | TTh 2:30-4:25 | 213 ANB | |
|
ACM/IDS 104
(3-1-5) |
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 | Hosseini | TTh 1:00-2:25 | 105 ANB | |
|
CMS/ACM/IDS 107
(3-3-6) (Letter Grade or Pass/Fail) |
Linear Analysis with Applications | Stuart | TTh 9:00-10:25 | 213 ANB | |
|
CMS/ACM/IDS 113
(3-0-6) (Letter Grade or Pass/Fail) |
Mathematical Optimization | Chandrasekaran | MWF 10:30-11:55 | 213 ANB | |
|
ACM/EE/IDS 116
(3-1-5) |
Introduction to Probability Models | Zuev | TTh 9:00-10:25 | 119 KRK | |
|
ACM/IDS 154
(3-0-6) |
Inverse Problems and Data Assimilation | Stuart | TTh 1:00-2:25 | 213 ANB | |
|
ACM 190
(Letter Grade or Pass/Fail) |
Reading and Independent Study | Staff | - | - | |
|
ACM/IDS 213
(3-0-6) |
Topics in Optimization | Chandrasekaran | MWF 1:00-2:25 | 314 ANB | |
|
ACM 300
(Pass/Fail) |
Research in Applied & Computational Mathematics | Staff | - | - | |
| Control & Dynamical Systems | |||||
|
CDS 90a
(0-0-9) |
Senior Thesis in Control and Dynamical Systems | Staff | - | - | |
|
CDS 131
(3-0-6) |
Linear Systems Theory | Murray | MWF 2:00-2:55 | 213 ANB | |
|
CDS 190
(Pass/Fail) |
Independent Work in Control and Dynamical Systems | Staff | - | - | |
|
CDS 300a
(Pass/Fail) |
Research in Control and Dynamical Systems | Faculty | - | - | |
| Computing and Mathematical Sciences | |||||
|
CMS/ACM/IDS 107
(3-3-6) (Letter Grade or Pass/Fail) |
Linear Analysis with Applications | Stuart | TTh 9:00-10:25 | 213 ANB | |
|
CMS/ACM/IDS 113
(3-0-9) (Letter Grade or Pass/Fail) |
Mathematical Optimization | Chandrasekaran | MWF 10:30-11:55 | 213 ANB | |
|
CMS 117
(3-0-9) (Letter Grade or Pass/Fail) |
Probability and Random Processes | Tropp | TTh 10:30-12:00 | 213 ANB | |
|
CMS 290a
(1-0-0) (Pass/Fail) |
Computing & Mathematical Sciences Colloquium | Schroeder | M 4:00-4:55 | 105 ANB | |
|
CMS 300
(Pass/Fail) |
Research in Computing & Mathematical Sciences | Staff | - | - | |
| Computer Science | |||||
|
CS 1
(3-4-2) (Pass/Fail) |
Introduction to Computer Programming | Vanier | MWF 2:00-2:55 | Beckman Institute | |
|
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) |
Computer Language Lab
General meeting: (OM W 9:00-9:55 pm - 105 ANB) Section 13 only: (OM 10/1 9:00-9:55 pm - 107 ANB) |
Vanier/Blank | - | - | |
|
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) |
Introduction to Computing Systems | Blank | MWF 2:00-2:55 | 105 ANB | |
|
CS 42
(2-2-2) (Pass/Fail) |
Computer Science Education in K-14 Settings | Ralph | F 12:00-2:55 | 107 ANB | |
|
CS/EE/ME 75a
(3 units 2-0-1, 6 units 2-0-4, or 9 units 2-0-7) |
Multidisciplinary Systems Engineering | Burdick | OM T 7:00-7:55pm | 135 GTL | |
|
CS 80a
(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 101a
(0-0-9) |
Special Topics in Computer Science | Yue | OM T 10:00-10:55 | 107 ANB | |
| CS 102a | Seminar in Computer Science | Faculty | - | - | |
| CS 103a | Reading in Computer Science | Faculty | - | - | |
|
CS 111
(0-3-0) |
Graduate Programming Practicum | Vanier/Blank | OM W 9:00-9:55pm | 105 ANB | |
|
CS 116
(3-0-6) |
Reasoning about Program Correctness | Joshi | TTh 1:00-2:25 | 107 ANB | |
|
CS/Ph 120
(3-0-6) |
Quantum Cryptography | Vidick | TTh 1:00-2:25 | 314 ANB | |
|
CS/IDS 142
(3-0-6) |
Distributed Computing | Murray | MWF 9:00-9:55 | 213 ANB | |
|
CS/EE 146
(3-3-3) |
Control and Optimization of Networks | Low | MWF 1:00-1:55 | 243 ANB | |
|
CS/IDS 150b
(3-0-6) |
Probability and Algorithms | Schulman | MWF 10:00-10:55 | 314 ANB | |
|
CS/CNS/EE 156a
(3-1-5) |
Learning Systems | Yaser |
OM 10/1 12:00-12:55
TTh 2:30-3:55 |
Baxter Lecture Hall | |
|
CS/CNS 171
(3-6-3) |
Computer Graphics Laboratory | Barr | MWF 3:00-3:55 | 213 ANB | |
|
CS 180
(Pass/Fail) |
Master's Thesis Research | Faculty | - | - | |
|
CS 280
(Pass/Fail) |
Research in Computer Science | Faculty | - | - | |
|
CS 286a
(Pass/Fail) |
Seminar in Computer Science | Vidick | T 4:00-5:00 | 314 ANB | |
| Information and Data Systems | |||||
|
ACM/IDS 101a
(Letter Grade or Pass/Fail) (4-4-4) |
Methods of Applied Mathematics I | Bruno | TTh 2:30-4:25 | 213 ANB | |
|
ACM/IDS 104
(3-1-5) |
Applied Linear Algebra | Zuev | TTh 10:30-11:55 | Beckman Institute | |
|
CMS/ACM/IDS 107
(3-3-6) (Letter Grade or Pass/Fail) |
Linear Analysis with Applications | Stuart | TTh 9:00-10:25 | 213 ANB | |
|
CMS/ACM/IDS 113
(3-0-6) |
Mathematical Optimization | Chandrasekaran | MWF 10:30-11:55 | 213 ANB | |
|
ACM/EE/IDS 116
(3-1-5) |
Introduction to Probability Models | Zuev | TTh 9:00-10:25 | Beckman Institute | |
|
CS/IDS 142
(3-0-6) |
Distributed Computing | Murray | MWF 9:00-9:55 | 213 ANB | |
|
CS/IDS 150b
(3-0-6) |
Probability and Algorithms | Schulman | MWF 10:00-10:55 | 314 ANB | |
|
ACM/IDS 154
(3-0-6) |
Inverse Problems and Data Assimilation | Stuart | TTh 1:00-2:25 | 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 | - | - | |
|
ACM/IDS 213
(3-0-6) |
Topics in Optimization | Chandrasekaran | MWF 1:00-2:25 | 314 ANB | |
Winter Term 2019-20
| Course (Units/Grade) | Subject | Instructor | Time | Room | |
| Applied & Computational Mathematics | |||||
|---|---|---|---|---|---|
|
ACM 80b
(Letter Grade or Pass/Fail) (9) |
Undergraduate Thesis | Staff | - | - | |
|
ACM 81b
(Letter Grade or Pass/Fail) (Units assigned in accordance with work accomplished) |
Undergraduate Projects in Applied and Computational Mathematics | Staff | - | - | |
|
ACM 95/100a
(Letter Grade or Pass/Fail) (4-0-8) |
Introductory Methods of Applied Mathematics | Pierce | MWF 11:00-12:15 | 119 KRK | |
|
ACM/IDS 101b
(Letter Grade or Pass/Fail) (4-4-4) |
Methods of Applied
Mathematics I |
Bruno | TTh 2:30-4:25 | 213 ANB | |
|
ACM 105
(3-0-6) |
Applied Real and Functional Analysis | Hoffmann | TTh 10:30-11:55 | 107 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
(3-0-9) |
Stochastic processes and regression | Owhadi | MW 1:00-2:25 | 213 ANB | |
|
ACM 190
(Letter Grade or Pass/Fail) (By arrangement) |
Reading and Independent Study | Staff | - | - | |
|
ACM/IDS 204
(3-0-6) |
Randomized Algorithms for Linear Algebra | Tropp | TTh 10:30-11:55 | 213 ANB | |
|
ACM/IDS 216
(3-0-6) |
Markov Chains, Discrete Stochastic Processes and Applications | Owhadi | TTh 9:00-10:25 | 105 ANB | |
|
ACM 300
(Pass/Fail) (By arrangement) |
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) |
Optimal Control and Estimation | Chung | TTh 2:30-3:55 | 384 FIR | |
|
CDS 190
(Pass/Fail) (By arrangement) |
Independent Work in Control and Dynamical Systems | Staff | - | - | |
|
CDS 231
(3-2-4) |
Robust Control Theory | Doyle | TTh 1:00-2:25 | 107 ANB | |
| CDS 232 | Nonlinear Dynamics | Ames | MWF 11:00-12:25 | 135 GTL | |
|
CDS 300b
(Pass/Fail) (By arrangement) |
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 | TTh 10:30-11:55 | 105 ANB | |
|
CMS/CS/CNS/EE/IDS 155
(Letter Grade or Pass/Fail) (3-3-6) |
Machine Learning & Data Mining | Yue | TTh 2:30-3:55 | BCK | |
| CMS 270 | Special Topics in Computing and Mathematical Sciences | Section 3 (Frontiers in CMS): Murray (+ Feldman, Schmidt) | OM 1/6 12:00-1:00 | 213 ANB | |
|
CMS 290
(Pass/Fail) (1-0-0) |
Computing & Mathematical Sciences Colloquium | Schröder | M 4:00-4:55 | 105 ANB | |
|
CMS 300 abc
(Pass/Fail) (By arrangement) |
Research in Computing & Mathematical Sciences | Staff | - | - | |
| Computer Science | |||||
|
CS 2
(2-4-3) |
Introduction to Programming Methods | Blank | MWF 2:00-2:55 | BCK | |
|
CS 4
(3-4-2) |
Fundamentals of Computer Programming | Vanier | MWF 3:00-3:55 | 105 ANB | |
|
CS 11
(Pass/Fail) (0-3-0) |
Computer Language Lab | Pinkston/Vanier |
M 1/6 OM
9:00-9:55 |
105 ANB | |
|
CS 19b
(Pass/Fail) (2-0-0) |
Introduction to Computer Science in Industry | Ralph | M 12:00-12:55 | 105 ANB | |
|
CS 21
(3-0-6) |
Decidability and Tractability | Umans | MWF 1:00-1:55 | 105 ANB | |
|
CS 42
(Pass/Fail) (2-2-2) |
Computer Science Education in K14 Settings | Ralph | F 12:00-4:00 | 107 ANB | |
|
CS/EE/ME 75b
(Letter Grade or Pass/Fail) (3, 6 or 9 according to project selected) |
Multidisciplinary Systems Engineering | Burdick |
M 1/6 OM
7:30-8:25pm |
135 GTL | |
|
CS 80
(Letter Grade) (9) |
Undergraduate Thesis | Faculty | - | - | |
|
CS 81a
(Pass/Fail) (In accourdance with work accomplished) |
Undergraduate Laboratory in Computer Science | Faculty | - | - | |
|
CS 90
(Pass/Fail) (In accourdance with work accomplished) |
Undergraduate Research in Computer Science | Faculty | - | - | |
|
CS 101b
(In accourdance with work accomplished) |
Special Topics in Computer Science (Projects in Machine Learning) | Yue |
M 1/6 OM
10:00-10:55 |
107 ANB | |
|
CS 102b
(3, 6, or 9 assigned by instructor) |
Seminar Topics in Computer Science | Faculty | - | - | |
|
CS 103a
(3, 6, or 9) |
Reading in Computer Science | Faculty | - | - | |
|
CS 111
(0-3-0) |
Graduate Programming Practicum | Pinkston/Vanier |
M 1/6 OM
9:00-9:55 |
105 ANB | |
|
ME/CS/EE 134
(3-0-6) |
Robotic Systems | Niemeyer/Gunter | - | - | |
|
EE/CS/EST 135
(3-0-6) |
Power Systems | Low | - | - | |
|
CS/CNS/EE/IDS 165
(3-3-6) |
Foundations of Machine Learning and Statistical Inference | Anandkumar | TTh 1:00-2:25 | 213 ANB | |
|
CS/ACM 177a
(3-3-3) |
Discrete Differential Geometry: Theory and Applications | Schröder | TTh 10:30-11:55 | 314 ANB | |
|
CS 180
(Pass/Fail) (In accourdance with work accomplished) |
Master's Thesis Research | Faculty | - | - | |
|
CS 280
(Pass/Fail) |
Research in Computer Science | Faculty | - | - | |
|
CS 287
(3,6, or 9 assigned at the instructor's discretion) |
Center for the Mathematics of Information Seminar | Staff | - | - | |
| Information and Data Systems | |||||
|
IDS/ACM/CS 157
(3-3-3) |
Statistical Inference | Zuev | MW 9:00-10:30 | 105 ANB | |
|
IDS 197
(Pass/Fail) (Units assigned in accordance with work accomplished) |
Undergraduate Reading in the Information and Data Sciences | Staff | - | - | |
|
IDS 198
(Pass/Fail) (Units assigned in accordance with work accomplished) |
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 2019-20
| Course (Units/Grade) | Subject | Instructor | Time | Room | |
| Applied & Computational Mathematics | |||||
|---|---|---|---|---|---|
|
ACM 11
(2-2-2) |
Introduction to Matlab and Mathematica | Hou | - | - | |
|
ACM 80 abc
(Letter Grade) |
Undergraduate Thesis | Staff | - | - | |
|
ACM 81 abc
(Letter Grade or Pass/Fail) |
Undergraduate Projects in Applied and Computational Mathematics | Staff | - | - | |
|
ACM 95/100 ab
(Letter Grade or Pass/Fail) (4-0-8) |
Introductory Methods of Applied Mathematics | Meiron | - | - | |
|
ACM 109
(3-0-6) |
Mathematical Modelling | Hoffman | - | - | |
|
ACM/CS/IDS 158
(3-3-3) |
Fundamentals of Statistical Learning | Zuev | - | - | |
|
ACM 190
(Letter Grade or Pass/Fail) |
Reading and Independent Study | - | - | - | |
| ACM 270-1 | Advanced Topics in Applied & Computational Mathematics: Recent Advances in Computational Methods Using Nonconvex Optimization | Hou | - | - | |
| ACM 270-2 | Advanced Topics in Applied & Computational Mathematics: Clustering and Classification on Graphs | Hoffman/Hosseini | - | - | |
|
ACM 300
(Pass/Fail) |
Research in Applied & Computational Mathematics | Staff | - | - | |
| Control & Dynamical Systems | |||||
|
CDS 90 abc
(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 233
(3-0-6) |
Nonlinear Control | Ames | - | - | |
|
CDS 243
(2-0-2) |
Adaptive Control | Lavretsky | - | - | |
|
CDS 300 abc
(Pass/Fail) |
Research in Control and Dynamical Systems | Faculty | - | - | |
| Computing and Mathematical Sciences | |||||
|
CMS 290
(Pass/Fail) (1-0-0) |
Computing & Mathematical Sciences Colloquium | Schröder | - | - | |
|
CMS 300 abc
(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 | Pinkston | - | - | |
|
CS 38
(3-0-6) (Letter Grade) |
Algorithms | Schulman | - | - | |
|
CS 42
(Pass/Fail) (2-2-2) |
Computer Science Education in K14 Settings | Ralph | - | - | |
|
CS/EE/ME 75abc
(Letter Grade or Pass/Fail) (3, 6, or 9) |
Multidiscplinary Systems Engineering | Burdick | - | - | |
|
CS 80
(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 101-1 | Special Topics in Computer Science: Computational Cameras | Bouman | - | - | |
| CS 101 abc | Special Topics in Computer Science | Gheorghiu | - | - | |
|
CS 102 abc
(3, 6, or 9) |
Seminar in Computer Science | Faculty | - | - | |
|
CS 103 a
(3,6, or 9) |
Reading in Computer Science | Faculty | - | - | |
|
CS 111
(0-3-0) |
Graduate Programming Practicum | Pinkston | - | - | |
|
CS 115
(3-4-2) |
Functional Programming | Vanier | - | - | |
|
CS 124
(3-6-3) |
Operating Systems | Pinkston | - | - | |
|
CS 131
(3-0-6) |
Programming Languages | Vanier | - | - | |
|
CS 138 Ref. CS 38 (ug version)
Ref. CS 38 (ug version) (3-0-6) |
Computer Algorithms | Schulman | - | - | |
|
CS/EE 145
(0-0-9) |
Projects in Networking | Wierman | - | - | |
|
CS/IDS 153
(3-0-6) |
Current Topics in Theoretical Computer Science | Umans | - | - | |
|
CS/CNS/EE 156 ab
(3-1-5) |
Learning Systems | Abu-Mostafa | - | - | |
|
CS/IDS 162
(3-0-6) |
Data, Algorithms and Society | Mushkin/Ralph | - | - | |
|
CS/CNS 174
(3-6-3) |
Computer Graphics Projects | Barr | - | - | |
|
CS/ACM 177 ab
(3-3-3) |
Discrete Differential Geometry: Theory and Applications | Schröder | - | - | |
|
CS 179
(3-3-3) |
GPU Programming | Barr | - | - | |
|
CS 180
(Pass/Fail) |
Master's Thesis Research | Faculty | - | - | |
|
CS 280
(Pass/Fail) |
Research in Computer Science | Faculty | - | - | |
|
CS 287
(3, 6, or 9) |
Center for the Mathematics of Information Seminar | Staff | - | - | |
| Information and Data Systems | |||||
|
IDS/ACM/CS 158
(3-3-3) |
Fundamentals of Statistical Learning | 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 | - | - | |