Examines advanced algorithmic topics and methods for CS graduate students, including matrix decomposition techniques and applications, linear programming, fundamental discrete and continuous optimization methods, probabilistic algorithms, NP-hard problems and approximation techniques, and algorithms for very large data sets.
FALL 2022 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A1 |
Erdos |
STO B50 |
TR 9:30 am-10:45 am |
Class Closed |
FALL 2022 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A2 |
Erdos |
MCS B33 |
W 1:25 pm-2:15 pm |
Class Closed |
FALL 2022 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A3 |
Erdos |
CAS 228 |
W 2:30 pm-3:20 pm |
Class Closed |
FALL 2022 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A4 |
Erdos |
CAS 225 |
W 3:35 pm-4:25 pm |
Class Closed |
FALL 2022 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A5 |
Erdos |
EMA 304 |
W 5:45 pm-6:35 pm |
Class Closed |
FALL 2022 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A6 |
Erdos |
MCS B39 |
W 11:15 am-12:05 pm |
Class Closed |
Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.