Undergraduate Prerequisites: CS111 (CS112 recommended); CS132 or MA242 (or EK103); CS237 or MA581 ( or EK381.) CS365 is recommended. - Covers practical skills in machine learning including techniques for clustering, classification, regression, feature selection, and model compression. Emphasizes hands-on application of methods via programming on real- world datasets.
FALL 2024 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A1 |
Plummer |
CAS 211 |
TR 5:00 pm-6:15 pm |
|
FALL 2024 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A2 |
Plummer |
MCS B37 |
W 12:20 pm-1:10 pm |
|
FALL 2024 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A3 |
Plummer |
CAS 116 |
W 1:25 pm-2:15 pm |
|
FALL 2024 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A4 |
Plummer |
CDS 950 |
W 2:30 pm-3:20 pm |
|
SPRG 2025 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A1 |
Ghadiyaram |
WED 130 |
TR 2:00 pm-3:15 pm |
|
SPRG 2025 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A2 |
Ghadiyaram |
CAS 214 |
W 9:05 am-9:55 am |
|
SPRG 2025 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A3 |
Ghadiyaram |
CAS 201 |
W 10:10 am-11:00 am |
|
SPRG 2025 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A4 |
Ghadiyaram |
CAS 533B |
W 11:15 am-12:05 pm |
|
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.
