- School of Computer Science and Engineering, Seoul National University
- Instructor: Prof. Byoung-Tak Zhang
- TA: Seong-ho Son & Hyo-Sun Chun
- Classroom: 302-107
- Time: Tue & Thu 11:00-12:15
- Objectives:
- To understand the theory and applications of artificial intelligence and cognitive science
- To acquire the technical tools for building intelligent agents, such as Bayesian networks, deep neural networks, and reinforcement learning.
- To understand the history and future prospects of artificial intelligence
- Textbook
- Artificial Intelligence: A Modern Approach, Stuart Russell and Peter Norvig, 2010.
- References
- A Tutorial on Learning with Bayesian Networks, David Heckerman [pdf]
- Cognitive Neuroscience: The Biology of the Mind, Third Edition, M.S. Gazzaniga, R.B. Ivry, and G.R. Mangun, Norton & Company, 2008.
- Hypernetworks: A molecular evolutionary architecture for cognitive learning and memory, IEEE Computational Intelligence Magazine, 3(3):49-63, 2008. [pdf]
- Evaluation:
- two exams (50%)
- two miniprojects (30%)
- project presentation (10%)
- participation in discussion (10%)
- Projects:
- Project 1: Bayesian networks
- Submit progress report by April 21st(Optional)
- Submit final report by May 12th
- [Project Announcement]
- [Datasets]
- Project 2: Deep Autoencoders
- Submit posters and codes by June 6th midnight
- Send the draft before June 4th for advices
- [Project Announcement]
- Announcements:
- Exam questions of previous years' classes are given here :
[2014-ex1], [2014-ex2], [2015-ex1], [2015-ex2]
- Practices 1 : On March 15th(Tue) and 17th(Thu), classes will be at 302-311-1, for Bayesian network practice. The time will be the same, from 11:00 to 12:15.
- You can download weka(tool used for practice and project 1) here.
- Supplementary class : On March 12th(Sat), there will be a supplementary class at 302-107, from 11:00 to 12:15.
- The pdf file 'prac2(BayesianNetworks_practice2.pdf)' for the second practice class
is updated(slides 17-20 is added, some other slides modified). please check the file for more detailed explanation.
- You can see the solution for Exercise 1 and 2 in the pdf file 'prac2'(slide 32, 33). It is recommended to practice calculating probabilities given bayesian networks.
- ###
Mid term 1
Place : 302-107
Time : 11:00 ~ 12:30
No open book exam. Answers should be given only in English.
Bring your pen for writing your name on the answer sheet.
###
- Mid Term scores : [here]
- Exam questions of previous years' classes are given here :
- If are looking for materials on learning bayesian network structure, check :
Slides for practice 1 : pp.50-51
Slides for practice 2 : pp.77-84 - Practices 2 : On April 26th(Tue) and May 3rd(Tue), classes will be at 302-311-1, for Deep Learning practice. The time will be the same, from 11:00 to 12:15.
- Lab Tour : On May 19th(Thu), Unit 409, Building 138. From 11:00.
Lab Tour Location : http://riact.snu.ac.kr/sub/sub04_01.php - Final Term scores : [here]
| Week | Date | Topics | Slides |
|---|---|---|---|
| 1 | 3/3 | AI History and Highlights |  |
| 2 | 3/8 | Brain, Mind, and AI | |
| 3/10 | Bayesian Networks 1 | SupClass_160312 SupClass_Photo | |
| 3 | 3/15 | Bayesian Networks 2 - Practice | prac1prac2 GeNIe_setup Prac_datasets Exercise_1and2 |
| 3/17 | Bayesian Networks 3 - Practice | ||
| 4 | 3/22 | Bayesian Networks 4 | |
| 3/24 | Problem Solving and Heuristic Search 1 |
|
|
| 6 | 3/29 | Problem Solving and Heuristic Search 2 | |
| 3/31 | Knowledge Representation and Reasoning 1 |
|
|
| 5 | 4/5 | Knowledge Representation and Reasoning 2 | |
| 4/7 | Natural Language Processing 1 |
Video lecture by Lenat |
|
| 7 | 4/12 | Natural Language Processing 2 |
|
| 4/14 | Natural Language Processing 3 | |
|
| 8 | 4/19 | Exam 1 | |
| 4/21 | Deep Neural Networks 1 | |
|
| 9 | 4/26 | Deep Neural Networks 2 - Practice | |
| 4/28 | Deep Neural Networks 3 | |
|
| 10 | 5/3 | Deep Neural Networks 4 - Practice | |
| 5/5 | Children's Day | ||
| 11 | 5/10 | Intelligent Agents 1 |
Video 1 Video 2 Video 3 Video 4 Video 5 |
| 5/12 | Intelligent Agents 2 | Video 6 | |
| 12 | 5/17 | Invited Talk from IBM Venue : Building 302, Room 308 |
Details |
| 5/19 | Cognitive Robots: Lab Tour | |
|
| 13 | 5/24 | Wearable AI |
|
| 5/26 | AI and the 4th Industrial Revolution |
|
|
| 14 | 5/31 | Brain, Mind, and AI Revisited | |
| 6/2 | Wrap-Up | ||
| 15 | 6/7 | Presentation Preparation | |
| 6/9 | Project Presentation | ||
| 16 | 6/14 | Discussions | |
| 6/16 | Final Exam |
