Data Science in Practice
COGS 108, Spring 2026 at UC San Diego 👋
Spring 2026
GH 242
MWF 10:00-10:50AM, 2:00-2:50PM
Week 5 - Inference & Linear Models
- 🧑🏫 Mon Apr 27
-
LEC Inference II
- 🧑🏫 Wed Apr 29
-
LEC Non parametric inference
-
DUE Project Proposal due
-
DISC Q4 and D4 (inference)
- 🧑🏫 Fri May 1
-
LEC Linear models I
-
DUE D4 due
-
DISC Q4 and D4 (inference)
Week 6 - Linear Models, DR & ML
- 🧑🏫 Mon May 4
-
LEC Linear models II
- 🧑🏫 Wed May 6
-
LEC Dimensionality Reduction
-
DUE A2 due
-
DISC Q5 and D5 (linear models)
- 🧑🏫 Fri May 8
-
LEC Machine Learning I
-
DUE D5 due
-
DISC Q5 and D5 (linear models)
Week 7 - Machine Learning
- 🧑🏫 Mon May 11
-
LEC Machine Learning II
- 🧑🏫 Wed May 13
-
LEC Machine Learning III
-
DUE Checkpoint #1: Data due
-
DISC Q6 and D6 (DR / ML)
- 🧑🏫 Fri May 15
-
LEC Machine Learning IV
-
DUE D6 due
-
DISC Q6 and D6 (DR / ML)
Week 8 - NLP & How to Be Wrong
- 🧑🏫 Mon May 18
-
LEC NLP I
- 🧑🏫 Wed May 20
-
LEC NLP II
-
DUE A3 due
-
DISC Q7 and D7 (ML / NLP)
- 🧑🏫 Fri May 22
-
LEC How to be wrong I
-
DUE D7 due
-
DISC Q7 and D7 (ML / NLP)
Week 9 - How to Be Wrong
- 🏠 Mon May 25
-
HOLIDAY NO LECTURE - Memorial Day
- 🧑🏫 Wed May 27
-
LEC How to be wrong II
-
DUE Checkpoint #2: EDA due
-
DISC Q8 and D8 (how to be wrong)
- 🧑🏫 Fri May 29
-
LEC How to be wrong III
-
DUE D8 due
-
DISC Q8 and D8 (how to be wrong)