Assessment
Midterm exam (30%) and course project (70%) — see Projects page for project details.
Grading Breakdown
| Assessment | Weight |
|---|---|
| Part I: Midterm Exam (Individual) | 30% |
| Part II: Course Project | 70% |
Part I: Midterm Exam (Individual)
Written Exam — April 17, 2026
Dry run: April 16 — in-class practice session with ample time for Q&A.
Scope: Evaluation of SW 2.0 and SW 3.0 Systems
| Topic | Material |
|---|---|
| 1. Evaluation of "traditional" ML systems | MLVU Methodology lecture (annotated PDF) |
| 2. Probability and Bayes | Probability for Computer Scientists — from "Probability" to "Bayes' Theorem" (included), and "Many Coin Flips" |
| 3. Random variables | Probability for Computer Scientists — Part 2 up to "Binomial Distribution" (included), and "Normal Distribution" |
| 4. Beta and bootstrapping | Probability for Computer Scientists — Part 4 up to "Bootstrapping" (included) |
More subtopics and materials will be added as the course progresses.
Part II: Course Project
70% of the final grade. In-class, assisted, attendance required (Track A) or individual, unassisted (Track B). See the Projects page →
Submission
Midterm Exam
Administered in class on April 17, 2026 (dry run April 16).