CS 540 Final - Comprehensive Review Cheatsheet

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Overview

Priority Rankings

Critical Priority (~50% of exam)

High Priority (~30% of exam)

Medium Priority (~20% of exam)

Critical Priority Topics

Lecture 15 & Lecture 16: Convolutional Neural Networks

Lecture 16 & Lecture 17: ResNets and Deep Learning Challenges

Lecture 20: Informed Search (A* Search)

Lecture 21 & Lecture 22: Game Theory

Lecture 23: Reinforcement Learning

Lecture 20: Local Search

High Priority Topics (Midterm Review)

Lecture 11 & Lecture 12: Neural Networks

Lecture 9: Linear Regression

Lecture 7: K-Means Clustering

Medium Priority Topics

Lecture 17 & Lecture 18: Transformers and Attention

Lecture 13: Overfitting and Regularization

AI Ethics and Fairness

Key Formulas to Memorize

CNNs (Lectures 15-16)

A* Search (Lecture 20)

Game Theory (Lectures 21-22)

Reinforcement Learning (Lecture 23)

Neural Networks (Lectures 11-13)

Linear Regression (Lecture 9)

Clustering (Lecture 7)

Practice Resources

By Topic (Priority Order)

Full Practice Exams

Common Pitfalls to Avoid

CNN Calculations

A* Search

Game Theory

Reinforcement Learning

Neural Networks

Final Checklist

Computational Skills (Must Practice!)

Conceptual Understanding

Exam Statistics Summary