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 2017-18
| Course (Units/Grade) | Subject | Instructor | Time | Room | |
| Applied & Computational Mathematics | |||||
|---|---|---|---|---|---|
|
ACM 101 ab
(Letter Grade or P/F) (4-0-8) |
Methods of Applied
Mathematics I |
Bruno | TTh 2:30-4:30 | 213 ANB | |
|
ACM 104
(3-1-5) |
Applied Linear Algebra | Zuev | TTh 10:30-12:00 | 105 ANB | |
|
ACM/EE 106 ab
(Letter Grade or P/F) (3-0-9) |
Introductory Methods of Computational Mathematics | Lam | TTh 1:00-2:25 | 105 ANB | |
|
ACM/EE 116
(3-1-5) |
Introduction to Probability Models | Zuev | TTh 9:00-10:25 | 105 ANB | |
|
ACM 159
(3-0-6) |
Inverse Problems and Data Assimilation | Stuart | TTh 2:30-3:55 | 102 SPL | |
|
ACM 190
(P/F) |
Reading and Independent Study | Staff | - | - | |
|
ACM 204
(3-0-6) |
Topics in Linear Algebra and Convex Analysis | Tropp | TTh 10:30-12:00 | 213 ANB | |
|
ACM 300
(P/F) |
Research in Applied & Computational Mathematics | Staff | - | - | |
| Computer Science | |||||
|
CS 1
(P/F) (3-4-2) |
Introduction to Computer Programming | Vanier | MWF 2:00-2:55 | Beckman Institute Auditorium | |
|
CS 9
(P/F) (1-0-0) |
Introduction to Computer Science Research | Ralph | W 7:00-8:00pm | 105 ANB | |
|
CS 11
(P/F) (0-3-0) |
Computer Language Shop | Vanier / Pinkston |
OM
M
9:00 pm |
105 ANB | |
|
CS 80
(Letter Grade) |
Undergraduate Thesis | Faculty | - | - | |
|
CS 81a
(P/F) |
Undergraduate Laboratory in Computer Science | Faculty | - | - | |
|
CS 90
(P/F) |
Undergraduate Research in Computer Science | Faculty | - | - | |
|
CS 101 a
(2-0-7) |
(Section 1) Special Topics in Computer Science:
High-Dimensional Geometry and Links with Information Theory |
Marsiglietti | W 9:00-11:00 | 314 ANB | |
| CS 101 a | (Section 2) Special Topics in Computer Science | Yue / Tamuz | OM, T 1:00-1:55 | 107 ANB | |
|
CS 102 abc
(3,6, or 9 assigned by instructor) |
Seminar in Computer Science | Faculty | - | - | |
|
CS 103 a
(3,6, or 9 assigned by instructor) |
Reading in Computer Science | Faculty | - | - | |
|
CS 111
(0-3-0) |
Graduate Programming Practicum | Vanier / Pinkston | OM M 9/25 9:00 pm | 105 ANB | |
|
CS 121
(3-0-6) |
Relational Databases | Pinkston | MWF 11:00-11:55 | 105 ANB | |
|
CS 124
(3-6-3) |
Operating Systems | Pinkston | MWF 1:00-2:00 | 213 ANB | |
|
CS 142
(3-0-6) |
Distributed Computing | Murray | MWF 2:00-3:00 | 105 ANB | |
|
CS/EE 143
(3-3-3) |
Communication Networks | Staff | TTh 2:30-4:00 | 314 ANB | |
|
CS/EE 146
(3-3-3) |
Advanced Networking | Low | TTh 10:30-11:55 | 243 ANB | |
|
CS/CNS/EE 156 ab
(3-0-6) |
Learning Systems | Abu-Mostafa | OM M 4:00 pm | Beckman Institute Auditorium | |
|
CS/CNS 171
(3-6-3) |
Computer Graphics Laboratory | Barr | MWF 3:00-3:55 | 105 ANB | |
|
CS 177 ab
(3-3-3) |
Discrete Differential Geometry: Theory and Applications | Schröder | TTh 10:30-11:55 | 314 ANB | |
|
CS 180
(P/F) |
Master's Thesis Research | Faculty | - | - | |
|
CS 280
(P/F) |
Research in Computer Science | Faculty | - | - | |
| Computing and Mathematical Sciences | |||||
|
CMS/ACM 107
(Letter Grade or P/F) (3-3-6) |
Linear Analysis with Applications | Stuart | TTh 10:30-11:55 | 102 SPL | |
|
CMS/ACM 113
(Letter Grade or P/F) (3-0-6) |
Mathematical Optimization | Chandrasekaran | MW 10:30-11:55 | 213 ANB | |
|
CMS/ACM/EE 117
(Letter Grade) (3-0-9) |
Probability and Random Processes | Owhadi | TTh 9:00-10:25 | 213 ANB | |
|
CMS 290
(P/F) (1-0-0) |
Computing & Mathematical Sciences Colloquium | Chandrasekaran | M 4:00-4:55 | 105 ANB | |
|
CMS 300 abc
(P/F) |
Research in Computing & Mathematical Sciences | Staff | - | - | |
| Control & Dynamical Systems | |||||
|
CDS 190
(P/F) |
Independent Work in Control and Dynamical Systems | Staff | - | - | |
|
CDS 231
(P/F) |
Linear Systems Theory | Doyle | TTh 1:00-2:25 | 213 ANB | |
|
CDS 300abc
(P/F) |
Research in Control and Dynamical Systems | Faculty | - | - | |
Winter Term 2017-18
| Course (Units/Grade) | Subject | Instructor | Time | Room | |
| Applied & Computational Mathematics | |||||
|---|---|---|---|---|---|
|
ACM 95/100 ab
(Letter Grade or P/F) (4-0-8) |
Introductory Methods of Applied Mathematics | Zuev | - | - | |
|
ACM 101 ab
(Letter Grade or P/F) (4-0-8) |
Methods of Applied Mathematics I | Bruno | - | - | |
|
ACM 105
(3-0-6) |
Applied Real and Functional Analysis | Hoffmann | - | - | |
|
ACM/EE 106 ab
(Letter Grade or P/F) (3-0-9) |
Introductory Methods of Computational Mathematics | Lam | - | - | |
| Ec/ACM/CS 112 | Bayesian Statistics | - | - | - | |
|
Ma/ACM 142
(3-0-6) |
Ordinary and Partial Differential Equations | - | - | - | |
|
Ma/ACM 144 ab
(3-0-6) |
Probability | - | - | - | |
|
ACM/EE 170
(3-0-6) |
Mathematics of Signal Processing | - | - | - | |
|
ACM 190
(P/F) |
Reading and Independent Study | Staff | - | - | |
|
ACM 216
(3-0-6) |
Markov Chains, Discrete Stochastic Processes and Applications | Owhadi | - | - | |
|
ACM/EE 217
(3-0-6) |
Advanced Topics in Stochastic Analysis
High-Dimensional Probability |
Tropp | - | - | |
|
Ae/ACM/ME 232 abc
(3-0-6) |
Computational Fluid Dynamics | - | - | - | |
| ACM 270-1 | Advanced Topics in Applied & Computational Mathematics | Hou | - | - | |
|
ACM 300
(P/F) |
Research in Applied & Computational Mathematics | Staff | - | - | |
| Computer Science | |||||
|
CS 2
(2-4-3) |
Introduction to Programming Methods | Desbrun | - | - | |
|
CS 4
(3-4-2) |
Fundamentals of Computer Programming | Vanier | - | - | |
|
CS 9
(P/F) (1-0-0) |
Introduction to Computer Science Research | Ralph | - | - | |
|
CS 11
(0-3-0) |
Computer Language Lab | Vanier / Pinkston | - | - | |
|
CS 21
(3-0-6) |
Decidability and Tractability | Umans | - | - | |
|
CS 80
(Letter Grade) |
Undergraduate Thesis | Faculty | - | - | |
|
CS 81a
(P/F) |
Undergraduate Laboratory in Computer Science | Faculty | - | - | |
|
CS 90
(P/F) |
Undergraduate Research in Computer Science | Faculty | - | - | |
|
CS 101-2
(0-9-0) |
Special Topics in Computer Science
Projects in Machine Learning Part 2 |
Yue / Tamuz | - | - | |
|
CS 102 abc
(3,6, or 9 assigned by instructor) |
Seminar in Computer Science | Faculty | - | - | |
|
CS 103 a
(3,6, or 9 assigned by instructor) |
Reading in Computer Science | Faculty | - | - | |
|
HPS/PI/CS 110
(3-0-9) |
Causation and Explanation | - | - | - | |
|
CS 111
(0-3-0) |
Graduate Programming Practicum | Vanier | - | - | |
| Ec/ACM/CS 112 | Bayesian Statistics | - | - | - | |
|
CS 122
(3-3-3) |
Database System Implementation | Pinkston | - | - | |
|
CS 122
(3-3-3) |
Database System Implementation | Pinkston | - | - | |
|
ME/CS 133 ab
(3-6-0) |
Robotics | Burdick | - | - | |
|
EE/CS/EST 135
(3-6-0) |
Power Systems | Low | - | - | |
|
CS 141
(3-0-6) |
Hack Society | Ralph | - | - | |
|
CS 177ab
(3-3-3) |
Discrete Differential Geometry: Theory and Applications | Schröder | - | - | |
|
CS 180
(P/F) |
Master's Thesis Research | Faculty | - | - | |
|
CS 280
(P/F) |
Research in Computer Science | Faculty | - | - | |
| Computing and Mathematical Sciences | |||||
|
CMS/CS 139
(Letter Grade or P/F) (3-0-6) |
Analysis and Design of Algorithms | Vidick | - | - | |
|
CMS/CS/EE 144
(Letter Grade or P/F) (3-3-6) |
Networks: Structure & Economics | Wierman | - | - | |
|
CMS/CS/CNS/EE 155
(Letter Grade or P/F) (3-3-6) |
Machine Learning & Data Mining | Yue | - | - | |
|
CMS 290
(P/F) (1-0-0) |
Computing & Mathematical Sciences Colloquium | Chandrasekaran | - | - | |
|
CMS 300 abc
(P/F) |
Research in Computing & Mathematical Sciences | Staff | - | - | |
| Control & Dynamical Systems | |||||
|
CDS 90 abc
(Letter Grade) (0-0-9) |
Senior Thesis in Control and Dynamical Systems | Staff | - | - | |
|
CDS 190
(P/F) |
Independent Work in Control and Dynamical Systems | Staff | - | - | |
| CDS 232 | Nonlinear Dynamics | Ames | - | - | |
|
CDS 300abc
(P/F) |
Research in Control and Dynamical Systems | Faculty | - | - | |
Spring Term 2017-18
| Course (Units/Grade) | Subject | Instructor | Time | Room | |
| Applied & Computational Mathematics | |||||
|---|---|---|---|---|---|
|
ACM 11
(2-2-2) |
Introduction to Matlab and Mathematica | Lam | - | - | |
|
ACM 95/100ab
(Letter Grade or P/F) (4-0-8) |
Introductory Methods of Applied Mathematics | Meiron | - | - | |
| Ec/ACM/CS 112 | Bayesian Statistics | - | - | - | |
|
ACM/CS 157
(3-2-4) |
Statistical Inference | Zuev | - | - | |
|
ACM/EE 170
(3-0-6) |
Mathematics of Signal Processing | - | - | - | |
|
ACM 190
(P/F) |
Reading and Independent Study | Staff | - | - | |
|
ACM 213
(3-0-6) |
Topics in Optimization | Chandrasekaran | - | - | |
|
Ae/ACM/CM/ME 232 abc
(3-0-6) |
Computational Fluid Dynamics | - | - | - | |
|
ACM 270-2
(P/F) |
Advanced Topics in Applied & Computational Mathematics | Hou | - | - | |
|
ACM 300
(P/F) |
Research in Applied & Computational Mathematic | Staff | - | - | |
| Computer Science | |||||
|
CS 11
(P/F) (0-3-0) |
Computer Language Shop | Vanier / Pinkston | - | - | |
|
CS 24
(3-3-3) |
Introduction to Computing Systems | Pinkston | - | - | |
|
CS 38
(3-0-6) |
Algorithms | Vidick | - | - | |
|
CS 80
(Letter Grade) |
Undergraduate Thesis | Faculty | - | - | |
|
CS 81a
(P/F) |
Undergraduate Laboratory in Computer Science | Faculty | - | - | |
|
CS 90
(P/F) |
Undergraduate Research in Computer Science | Faculty | - | - | |
|
CS 102abc
(3,6, or 9 assigned by instructor) |
Seminar in Computer Science | Faculty | - | - | |
|
CS 103a
(3,6, or 9 assigned by instructor) |
Reading in Computer Science | Faculty | - | - | |
|
HPS/PI/CS 110
(3-0-9) |
Causation and Explanation | - | - | - | |
|
CS 111
(0-3-0) |
Graduate Programming Practicum | Vanier | - | - | |
| Ec/ACM/CS 112 | Bayesian Statistics | - | - | - | |
|
CS 115
(3-4-2) |
Functional Programming | Vanier | - | - | |
|
CS 123
(0-0-9) |
Projects in Database Systems | Pinkston | - | - | |
|
CS 131
(3-0-6) |
Programming Languages | Vanier | - | - | |
|
CS/EE/ME 134
(3-0-6) |
Autonomy | Staff | - | - | |
|
CS 138
(3-0-6) |
Computer Algorithms | Vidick | - | - | |
|
CS 141
(3-0-6) |
Hack Society | Ralph | - | - | |
|
CS/EE 145
(0-0-9) |
Projects in Networking | Wierman | - | - | |
| CNS/EE/CS 148b | Advanced topics in Computer Vision | Perona | - | - | |
|
CS 153
(3-0-6) |
Current Topics in Theoretical Computer Science | Umans | - | - | |
|
CS/CNS/EE 156 ab
(3-0-6) |
Learning Systems | Abu-Mostafa | - | - | |
| EE/CS 161 | Big Data Networks | Hassibi | - | - | |
|
CS 174
(3-6-3) |
Computer Graphics Projects | Barr | - | - | |
|
CS 178
(3-3-3) |
Numerical Algorithms and their Implementation | Desbrun/Schröder/Hoffmann | - | - | |
|
CS 179
(3-3-3) |
GPU Programming | Barr | - | - | |
|
CS 180
(P/F) |
Master's Thesis Research | Faculty | - | - | |
|
CS 280
(P/F) |
Research in Computer Science | Faculty | - | - | |
| Computing and Mathematical Sciences | |||||
|
CMS 290
(P/F) (1-0-0) |
Computing & Mathematical Sciences Colloquium | Chandrasekaran | - | - | |
|
CMS 300abc
(P/F) |
Research in Computing & Mathematical Sciences | Staff | - | - | |
| Control & Dynamical Systems | |||||
|
CDS 90abc
(Letter Grade) (0-0-9) |
Senior Thesis in Control and Dynamical Systems | Staff | - | - | |
|
CDS 190
(P/F) |
Independent Work in Control and Dynamical Systems | Staff | - | - | |
| CDS 233 | Nonlinear Control | Ames | - | - | |
|
CDS 241
(3-2-4) |
Network Control Systems | Doyle | - | - | |
|
CDS 243
(2-0-2) |
Adaptive Control | Lavretsky | - | - | |
|
CDS 244
(2-0-2) |
System Identification | Lavretsky | - | - | |
|
CDS 300abc
(P/F) |
Research in Control and Dynamical Systems | Faculty | - | - | |