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CS 441/541 F19
General
Week 1: Intro AI
Week 2: Single-Agent Search
Week 3: Applied Search
Week 4: Adversaries, Logic and AI
Week 5: Probability and Decision Theory
Week 6: Machine Learning
Week 7: Neural Nets
Week 8: Learning and Coordinating
Week 9: Applications
Week 10: Wrapping Up
9 December - 15 December
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PSU CS 441/541 - Artificial Intelligence (Fall 2019)
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CS 441/541 F19
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Syllabus
Course Code
Course Slack
Octopus Intelligence
AI Basics
Heuristic AI
Complete Search
Advanced Search
Sliding Tile Puzzle
Local Search
CSPs
Scheduling and Planning
HW 1: Dinner Party
Dinner Party: Instances
Adversary Search
Logic: representation and inference
HW 2: Students' Choice
Circuit Wiring
Vending Machine Modeling
Probability
Decisions and Expert Systems
Naïve Bayesian Reasoning
Machine Learning
Machine Learning Methods
Machine Learning Issues
HW 3: Heart Anomalies
Neural Nets
Derivation of Backpropagation
Genetic Algorithms
Ensembles
AI and Gothello
Navigation, Control and Robotics
Andrej Karpathy: The Unreasonable Effectiveness of Recurrent Neural Networks
Hangmanual
Karpathy LSTM in PyTorch
World Economic Forum: Top 9 ethical issues in AI
Final review
Octopus Intelligence ►