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Effective Strategies For Teaching Machine Learning

1. Preparing Students for Success

2. Motivating Students through Real-World Relevance

3. Integrating Ethics and Societal Impact

4. Avoiding Common Methodological Pitfalls in Model Evaluation

5. Guiding Students on Design Decisions

6. Adapting Effective Classroom Practices

7. Assessing Student Learning

8. Preparing for the future

Examples of Assessing Student Learning

Term Project¶

The course project is split up into 4-5 different parts:

Project Part 1
Project Part 2
Project Part 3 & 4
Project Part 5

6. Adapting Effective Classroom Practices

Examples of Classroom Practices