Week1 (11/03)

• Material: Descriptive Statistics Basics and Linear LS Basics (Ch. 1 and 2, except (*)-marked sections)
• whiteboard
• recording

Week2 (18/03)

• Material: Multivariate LS (Ch. 3)

Week3 (25/03)

• Material: Model characterization (Ch. 4)

Week4 (15/04)

• Material: Logistic regression (Ch. ?)

Week5 (29/04)

• Material: Classification performance evaluation (Ch. ?)

Week6 (06/05)

• Material: Hands-on sesssion with Accelerating End-to-End Data Science Workflows

Week7 (13/05) - Midterm

Week8 (20/05) - Signal analysis

Week9 (27/05) - Feature selection

Week10 (03/06) - Signal classification

Week11 (10/06) - No class (work on the project)

Project presentations (14/06 10:00-14:00) as a part of SCETech26