Course Contents
- Intro to AI
- Problem Solving and Search
- Game Playing
- Supervised Learning
- Decision Trees
- Ensemble Methods
- Neural Networks
- Kernel Based Methods
- Hidden Markov Models
- Reinforcement Learning
- Computer Vision
- Other applications
Course Evaluation
- Paper presentation: 20%
- Participation (Paper reports): 10%
- Project: 35%
- Final: 35%
About Paper Reports
Each student is expected to write a short report about the papers presented. The contents of this report should include the following:
- Problem definition: One-two sentences explaining the problem attacked
- Main contribution(s): Main contributions of the paper
- Advantage(s): Main advantages of the proposed method or things you like about the paper
- Disadvantage(s): Main disadvantages of the proposed method or things you don't like about the paper
Each report:
- should be half-page long at most.
- can be written either in Turkish/English.
- is due beginning of the class of the presentation time.
- should be sent by email. It should be in .pdf format and the subject of the email should include "Bil682-PaperReport" phrase. Otherwise your report may be unseen and discarded.
Important Note: In order to receive participation credit (10%), each student must provide at least 5 paper reports. No credit will be given if less than 5 paper reports are submitted.
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