https://github.com/betarixm/csed342
POSTECH: Artificial Intelligence (Spring 2021)
https://github.com/betarixm/csed342
ai artificial-intelligence postech
Last synced: 3 months ago
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POSTECH: Artificial Intelligence (Spring 2021)
- Host: GitHub
- URL: https://github.com/betarixm/csed342
- Owner: betarixm
- Created: 2021-02-26T13:40:28.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2021-06-16T05:40:40.000Z (almost 4 years ago)
- Last Synced: 2025-01-19T09:44:28.299Z (4 months ago)
- Topics: ai, artificial-intelligence, postech
- Language: Python
- Homepage:
- Size: 5.35 MB
- Stars: 2
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Artificial Intelligence
[](https://www.postech.ac.kr/eng)
[](https://www.postech.ac.kr/eng)
**Artificial intelligence** aims to tackle complex real-world problems (e.g., web search, speech recognition, face recognition, machine translation, autonomous driving) with rigorous mathematical tools. In this course, students will learn the foundational principles that drive these applications and practice implementing some of these systems. This course covers a broad range of AI-related topics at a fast pace, focusing on understanding the fundamental concepts and principles on each topic. Accordingly, programming assignments will be implementing the core ideas with native python rather than blindly using AI libraries or tools.
## Assignments
### Foundations
- Simple Python tasks
[Link](HW/HW01)
### Sentiment Analysis
- Stochastic Gradient Descent
- K-means Clustering
[Link](HW/HW02)
### Text Reconstruction
- UCS
- Word Segmentation
- Vowel Insertion
- A* Search
[Link](HW/HW03)
### Peeking Blackjack
- Value Iteration
- Q Learning
[Link](HW/HW04)
### Multi-agent Pac-Man
- Minimax
- Alpha-beta pruning
- Expectimax
[Link](HW/HW05)
### Constraint Satisfaction Problems
- CSP solving
- Handling n-ary factors
[Link](HW/HW06)
### Car Tracking
- Bayesian Network
- Particle Filtering
[Link](HW/HW07)
### From Language to Logic
- Propositional logic
- Logical Inference
[Link](HW/HW08)