Practice and Application of Data Science
DSC 80, Winter 2026 at UC San Diego
Janine Tiefenbruckshe/her
Lecture: (A) TuTh 9:30-10:50AM, (B) TuTh 11AM-12:20PM in PODEM 1A18
Discussion: (A) W 1-1:50PM, (B) W 2-2:50PM in CSB 002
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Week 2 – DataFrames
- Mon Jan 12
LAB 1
- Tue Jan 13
LEC 3
- Wed Jan 14
DISC 2
Lab 1 Reflection
- Thu Jan 15
LEC 4
- Sat Jan 17
PROJ 1
Week 4 – Missing Values
- Mon Jan 26
LAB 3
- Tue Jan 27
LEC 7
Missingness Mechanisms
- Wed Jan 28
DISC 4
Lab 3 Reflection
- Thu Jan 29
LEC 8
Imputation
- Fri Jan 30
PROJ 2
Week 5 – HTTP and HTML
- Mon Feb 2
LAB 4
Hypothesis and Permutation Testing
- Tue Feb 3
LEC 9
HTTP Basics
- Wed Feb 4
DISC 5
Lab 4 Reflection
- Thu Feb 5
LEC 10
Web Scraping
- Fri Feb 6
PROJ 2
Week 6 – Midterm, Regular Expressions
- Sun Feb 8
LAB 5
Missing Values and Imputation
- Tue Feb 10
EXAM
Midterm Exam
- Wed Feb 11
DISC 6
Midterm Exam Solutions Review
- Thu Feb 12
LEC 11
Regular Expressions
- Fri Feb 13
PROJ 3
Project 3 Checkpoint
Week 7 – Text and Modeling
- Mon Feb 16
LAB 6
APIs and Web Scraping
- Tue Feb 17
LEC 12
Text Features
- Wed Feb 18
DISC 7
Lab 6 Reflection
- Thu Feb 19
LEC 13
Linear Regression
- Fri Feb 20
PROJ 3
Project 3
Week 8 – Feature Engineering
- Mon Feb 23
LAB 7
Regular Expressions
- Tue Feb 24
LEC 14
Feature Engineering
- Wed Feb 25
DISC 8
Lab 7 Reflection
- Thu Feb 26
LEC 15
Standardization, Multicollinearity, and Generalization
- Fri Feb 27
PROJ 4
Project 4 Checkpoint 1
Week 9 – Modeling in Practice
- Mon Mar 2
LAB 8
Feature Engineering
- Tue Mar 3
LEC 16
Hyperparameters, Cross-Validation, and Decision Trees
- Wed Mar 4
DISC 9
Lab 8 Reflection
- Thu Mar 5
LEC 17
Decision Trees and Random Forests
- Fri Mar 6
PROJ 4
Project 4 Checkpoint 2