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 2018-19
| Course (Units/Grade) | Subject | Instructor | Time | Room | |
| Applied & Computational Mathematics | |||||
|---|---|---|---|---|---|
|
ACM/IDS 101 ab
(4-0-8) (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 | 105 ANB | |
|
ACM/EE 106 ab
(3-0-9) (Letter Grade or Pass/Fail) |
Introductory Methods of Computational Mathematics | Lam | TTh 1:00-2:25 | 105 ANB | |
|
ACM/EE/IDS 116
(3-1-5) |
Introduction to Probability Models | Zuev | TTh 9:00-10:25 | 105 ANB | |
|
Ma/ACM/IDS 144 ab
(3-0-6) |
Probality | - | - | - | |
|
ACM 190
(Pass/Fail) |
Reading and Independent Study | Staff | - | - | |
|
ACM 201
(3-0-6) |
Partial Differential Equations | Hoffmann / Hosseini | TTh 1:00-2:25 | 213 ANB | |
|
ACM/IDS 204
(4-0-8) |
Topics in Linear Algebra and Convexity | Tropp | TTh 10:30-11:55 | 213 ANB | |
|
ACM 300
(Pass/Fail) |
Research in Applied & Computational Mathematics | Staff | - | - | |
| Computer Science | |||||
|
CS 1
(3-4-2) (Pass/Fail) |
Introduction to Computer Programming | Vanier | MWF 2:00-2:55 | Beckman Institute Auditorium | |
|
CS 9
(1-0-0) (Pass/Fail) |
Introduction to Computer Science Research | Ralph/Blank | M 12:00-1:00 pm | 105 ANB | |
|
CS 11
(0-3-0) |
Computer Language Shop | Vanier |
OM M
9:00 pm |
105 ANB | |
|
CS 19a
(2-0-0) (Pass/Fail) |
Introduction to Computer Science in Industry | Ralph | Th 12:00-1:00 pm | 105 ANB | |
|
CS 37
(2-6-1) |
Algorithms in the Real World | Blank | MWF 2:00-2:55 pm | 107 ANB | |
|
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
(0-0-9) |
Special Topics in Computer Science | Yue | - | - | |
|
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 | OM M 9:00 pm | 105 ANB | |
|
CS/IDS 121
(3-0-6) |
Introduction to Relational Databases | Pinkston | MWF 11:00-11:55 | 314 ANB | |
|
CS 124
(3-6-3) |
Operating Systems | Pinkston | MWF 1:00-1:55 | 213 ANB | |
|
EE/Ma/CS/IDS 127
(3-0-6) |
Error-Correcting Codes | Kostina | - | - | |
|
ME/CS 133 a
(3-6-0) |
Robotics | Staff | - | - | |
|
CS/EE/IDS 143
(3-3-3) |
Communication Networks | Low/Murray/Ralph | MWF 9:00-9:55 | 213 ANB | |
|
CS/IDS 150
(3-0-6) |
Probability and Algorithms | Schulman | MWF 10:00-10:55 | 314 ANB | |
|
CS 152
(3-0-9) |
Introduction to Cryptography | Vidick | TTh 10:30-11:55 | 314 ANB | |
|
CS/CNS/EE 156 a
(3-0-6) |
Learning Systems | Abu-Mostafa | TTh 2:00-4:00 | Hameetman | |
|
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 286.1
(3,6, or 9) |
CMI Seminar | Vidick | T 4:00-5:00 | 314 ANB | |
| Computing and Mathematical Sciences | |||||
|
CMS/ACM/IDS 107
(3-3-6) (Letter Grade or Pass/Fail) |
Introduction to Linear Analysis with Applications | Stuart | TTh 10:30-11:55 | TBA | |
|
CMS/ACM/IDS 113
(3-0-9) (Letter Grade or Pass/Fail) |
Mathematical Optimization | Chandrasekaran | MWF 10:30-11:55 | 213 ANB | |
|
CMS/ACM/EE/IDS 117
(3-0-9) (Letter Grade) |
Introduction to Probability and Random Processes | Owhadi | TTh 9:00-10:25 | 213 ANB | |
|
CMS 290
(1-0-0) (Pass/Fail) |
Computing & Mathematical Sciences Colloquium | Schröder | M 4:00-4:55 | 105 ANB | |
|
CMS 300 abc
(Pass/Fail) |
Research in Computing & Mathematical Sciences | Staff | - | - | |
| Control & Dynamical Systems | |||||
| CDS 90 abc | 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 300abc
(Pass/Fail) |
Research in Control and Dynamical Systems | Faculty | - | - | |
| Electrical Engineering | |||||
| EE 121 | Computational Signal Processing | Chandrasekaran | MW 1:00-2:30 | 105 Annenberg | |
| 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
(3-0-6) (Letter Grade) |
Undergraduate thesis in the Information and Data Sciences | Staff | - | - | |
Winter Term 2018-19
| Course (Units/Grade) | Subject | Instructor | Time | Room | |
| Applied & Computational Mathematics | |||||
|---|---|---|---|---|---|
|
ACM 95/100 ab
(Letter Grade or Pass/Fail) (4-0-8) |
Introductory Methods of Applied Mathematics | Zuev | MWF 11:00-12:15 | 119 KRK | |
|
ACM/IDS 101 ab
(Letter Grade or Pass/Fail) (4-0-8) |
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 106 ab
(Letter Grade or Pass/Fail) (3-0-9) |
Introductory Methods of Computational Mathematics | Hou | TTh 1:00-2:25 | 105 ANB | |
| Ec/ACM/CS 112 | Bayesian Statistics | Rangel | TTh 10:30-11:55 | - | |
|
ACM 190
(Pass/Fail) |
Reading and Independent Study | Staff | - | - | |
|
ACM/IDS 216
(3-0-6) |
Markov Chains, Discrete Stochastic Processes and Applications | Owhadi | TTh 9:00-10:25 | 105 ANB | |
|
Ae/ACM/ME 232 ab
(3-0-6) |
Computational Fluid Dynamics | Pullin/Meiron | TTh 10:30-12:00 | 232 GUG | |
|
ACM 256
(3-0-6) |
Special Topics in Applied Mathematics: Optimal Transport | Hoffmann | TTh 2:30-3:55 | 314 ANB | |
|
ACM 300
(Pass/Fail) |
Research in Applied & Computational Mathematics | Staff | - | - | |
| Computer Science | |||||
|
CS 2
(2-4-3) |
Introduction to Programming Methods | Blank/Desbrun | MWF 2:00-2:55 | BIA | |
|
CS 4
(3-4-2) |
Fundamentals of Computer Programming | Vanier | MWF 3:00-3:55 | 105 ANB | |
| EE/CS 10 ab | Introduction to Digital Logic and Embedded Systems | George | MW 3:00-3:55 | B270 MRE | |
|
CS 11
(Pass/Fail) (0-3-0) |
Computer Language Lab | Vanier / Pinkston | OM 1/7 9:00-9:55 | 105 ANB | |
|
CS 19 ab
(Pass/Fail) (2-0-0) |
Introduction to Computer Science in Industry | Ralph | Th 12:00-1:00 | 105 ANB | |
|
CS 21
(3-0-6) |
Decidability and Tractability | Umans | MWF 1:00-1:55 | 105 ANB | |
|
CS/EE/ME 75 abc
(Letter Grade) (3, 6 or 9) |
Multidisciplinary Systems Engineering | Burdick | OM 1/7 7:30-8:25pm | 135 GTL | |
|
CS 80
(Letter Grade) (9) |
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
(0-0-9) |
Special Topics in Computer Science | Yue | OM 1/7 10:00-11:00 | 107 ANB | |
|
CS 102 abc
(3, 6, or 9) |
Seminar Topics in Computer Science | Faculty | - | - | |
|
CS 103 a
(3, 6, or 9) |
Reading in Computer Science | Faculty | - | - | |
|
CS 111
(3-0-3) |
Graduate Programming Practicum | Vanier/Pinkston | OM 1/7 9:00-9:55pm | 105 ANB | |
|
Ec/ACM/CS 112
(3-0-6) |
Bayesian Statistics | Rangel | TTh 10:30-11:55 | - | |
|
CS 118
(3-3-3) |
Logic Model Checking for Formal Software Verification | Holzmann | TTh 1:00-2:30 | 106 ANB | |
|
EE/CS 119
(1-0-8) |
Advanced Digital Systems Design | George | MW 1:00-2:55 | B270 MRE | |
|
CS/IDS 122
(3-3-3) |
Database System Implementation | Pinkston | MWF 11:00-11:55 | 105 ANB | |
|
EE/Ma/CS 126 ab
(3-0-6) |
Information Theory | Effros | MW 10:30-11:55 | B280 MRE | |
|
ME/CS 133 ab
(3-6-0) |
Robotics | Burdick | MWF 3:00-3:55 | 135 GTL | |
|
CS/EE/ME 134
(3-0-6) |
Autonomy | Niemeyer | - | - | |
|
EE/CS/EST 135
(3-0-6) |
Power Systems | Low | MW 1:00-2:25 | 213 ANB | |
|
CS 141
(0-0-9) |
Hack Society: Projects from the Public Sector | Ralph | T 1:00-2:30 | 107 ANB | |
|
CS/CNS/EE/IDS 165
(3-3-6) |
Foundations of Machine Learning | Anandkumar | TTh 1:00-2:30 | B270 MRE | |
|
CS/ACM 177ab
(3-3-3) |
Discrete Differential Geometry: Theory and Applications | Schröder | TTh 10:30-11:55 | 314 ANB | |
|
CS/IDS 178
(3-3-3) |
Numerical Algorithms and their Implementation | Desbrun | TTh 10:30-11:55 | 213 ANB | |
|
CS 180
(Pass/Fail) |
Master's Thesis Research | Faculty | - | - | |
|
BE/CS/CNS/Bi 191
(3-0-6) |
Biomolecular Computation | Winfree | TTh 10:30-11:55 | - | |
|
CS 280
(Pass/Fail) |
Research in Computer Science | Faculty | - | - | |
|
CS 286.1
(3,6, or 9) |
CMI Seminar | Vidick | T 4:00-5:00 | 314 ANB | |
| Computing and Mathematical Sciences | |||||
|
CMS/CS/IDS 139
(Letter Grade or Pass/Fail) (3-0-9) |
Analysis and Design of Algorithms | Vidick | MW 10:00-11:30 | 213 ANB | |
|
CMS/CS/EE/IDS 144
(Letter Grade or Pass/Fail) (3-3-6) |
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 | BIA | |
| CMS 270 | Special Topics in Computing and Mathematical Sciences | Murray | - | - | |
|
CMS 290
(Pass/Fail) (1-0-0) |
Computing & Mathematical Sciences Colloquium | Schröder | M 4:00-4:55 | 105 ANB | |
|
CMS 300 abc
(Pass/Fail) |
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 112
(3-0-6) |
Optimal Control and Estimation | Chung | TTh 2:30-3:55 | 133 GUG | |
|
CDS 190
(Pass/Fail) |
Independent Work in Control and Dynamical Systems | Staff | - | - | |
|
CDS 231
(3-2-4) |
Robust Control Theory | Doyle | TTh 1:00-2:25 | 213 ANB | |
| CDS 232 | Nonlinear Dynamics | Ames | MWF 11:00-12:25 | - | |
| CDS 270-1 |
Advanced Topics in Systems and Control:
Intro to Astrodynimics |
Campagnola / Strange (JPL) | TTh 9:00-10:25 | 213 ANB | |
|
CDS 300 abc
(Pass/Fail) |
Research in Control and Dynamical Systems | Faculty | - | - | |
| Information and Data Systems | |||||
|
IDS 9
(Pass/Fail) (1-0-0) |
Introduction to Information and Data Systems Research | Ralph | Th 12:00-1:00 | 105 ANB | |
|
EE/Ma/CS/IDS 127
(3-0-6) |
Error-Correcting Codes | Kostina | TTh 2:30-3:55 | B270 MRE | |
|
EE/CS/IDS 160
(3-0-6) |
Fundamentals of Information Transmission and Storage | Hassibi | TTh 10:30-11:55 | B270 MRE | |
|
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 2018-19
| Course (Units/Grade) | Subject | Instructor | Time | Room | |
| Applied & Computational Mathematics | |||||
|---|---|---|---|---|---|
|
ACM 11
(2-2-2) |
Introduction to Matlab and Mathematica | Lam | - | - | |
|
ACM 95/100 ab
(Letter Grade or Pass/Fail) (4-0-8) |
Introductory Methods of Applied Mathematics | Meiron | - | - | |
|
Ma/ACM 142
(3-0-6) |
Ordinary and Partial Differential Equations | - | - | - | |
|
ACM/CS/IDS 157
(3-2-4) |
Statistical Inference | Zuev | - | - | |
|
ACM/EE/IDS 170
(3-0-6) |
Mathematics of Signal Processing | Hassibi | - | - | |
|
ACM 190
(Pass/Fail) |
Reading and Independent Study | Staff | - | - | |
|
ACM 210
(3-0-6) |
Numerical Methods for PDEs | Hou | - | - | |
|
ACM/EE/IDS 217
(3-0-6) |
Advanced Topics in Stochastic Analysis: SDEs | Stuart | - | - | |
|
ACM 300
(Pass/Fail) |
Research in Applied & Computational Mathematics | Staff | - | - | |
| Computer Science | |||||
| EE/CS 10 ab | Introduction to Digital Logic and Embedded Systems | George | - | - | |
|
CS 11
(Pass/Fail) (0-3-0) |
Computer Language Shop | Pinkston | - | - | |
|
CS 24
(3-3-3) |
Introduction to Computing Systems | Blank/Pinkston | - | - | |
|
CS 38
(3-0-6) |
Algorithms | Schulman | - | - | |
|
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 102 abc
(3,6, or 9) |
Seminar in Computer Science | Faculty | - | - | |
|
CS 103 a
(3,6, or 9) |
Reading in Computer Science | Faculty | - | - | |
|
HPS/PI/CS 110
(3-0-9) |
Causation and Explanation | Eberhardt | - | - | |
|
CS 111
(Pass/Fail) |
Programming Practicum | Pinkston | - | - | |
|
CS 115
(3-4-2) |
Functional Programming | Vanier | - | - | |
| EE/CS 119 | Advanced Digital Systems Design | George | - | - | |
|
CS 123
(0-0-9) |
Projects in Database Systems | Pinkston | - | - | |
|
EE/CS/MedE 125
(3-6-0) |
Digital Electronics and Design with FPGAs and VHDL | Pedroni | - | - | |
|
CS 131
(3-0-6) |
Programming Languages | Vanier | - | - | |
|
CS 138
Ref. CS 38 (ug version) (3-0-6) |
Computer Algorithms | Schulman | - | - | |
|
CS/EE 145
(0-0-9) |
Projects in Networking | Ralph/Wierman | - | - | |
|
CS 151
(3-0-9) |
Complexity Theory | Umans | - | - | |
|
CS/CNS/EE 156 ab
(3-0-6) |
Learning Systems | Abu-Mostafa | - | - | |
|
CS/CNS/EE/IDS 159
(3-0-6) |
Advanced Topics in Machine Learning | Yue | - | - | |
|
EE/CS/IDS 167
(3-0-6) |
Introduction to Data Compression and Storage | Kostina | - | - | |
|
CS/CNS 174
(3-6-3) |
Computer Graphics Projects | Barr | - | - | |
|
EE/CS/MedE 175
(3-6-0) |
Digital Circuits Analysis and Design with Complete VHDL and RTL Approach | Pedroni | - | - | |
|
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 | - | - | |
|
BE/CS/CNS/Bi 191
(3-0-6) |
Biomolecular Computation | Winfree | - | - | |
|
CS 280
(Pass/Fail) |
Research in Computer Science | Faculty | - | - | |
|
CS 286.1
(3,6, or 9) |
CMI Seminar | Vidick | - | - | |
| 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 | - | - | |
| Control & Dynamical Systems | |||||
|
CDS 90 abc
(Letter Grade) (0-0-9) |
Senior Thesis in Control and Dynamical Systems | Staff | - | - | |
| CDS 110 | - | Seinfeld | - | - | |
|
CDS 141
(3-2-4) |
Network Control Systems | Doyle | - | - | |
|
CDS 190
(Pass/Fail) |
Independent Work in Control and Dynamical Systems | Staff | - | - | |
| CDS 233 | Nonlinear Control | Ames | - | - | |
| CDS 270-1 |
Advanced Topics in Systems and Control:
Astrodynimics Applications |
Campagnola (JPL) | - | - | |
|
CDS 300 abc
(Pass/Fail) |
Research in Control and Dynamical Systems | Faculty | - | - | |
| Information and Data Systems | |||||
|
EE/CS/IDS 167
(3-0-6) |
Introduction to Data Compression and Storage | Kostina | - | - | |
|
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 Projects in Information and Data Sciences | Staff | - | - | |