Russell & Norvig: Artificial Intelligence: A Modern Approach, Third ed., Pearson, 2010.
|Week||Dates||Slide Numbers||Chapters in the Course Book|
|1||Jan. 12 and 14||1-4, 24 - 39||13 Quantifying Uncertainty|
|2||Jan. 19 and 21||40 - 79||13, 14 Probabilistic Reasoning|
|3||Jan. 26 and 28||80 - 117||14, 16 Making Simple Decisions|
|4||Feb. 2 and 4||118 - 145||17 Making Complex Decisions|
|5||Feb. 9 and 11||146 - 167||18 Learning from Examples|
|6||Feb. 16||Juho's presentation on the assignment||Feb. 18||168 - 183||18.4 - 18.5|
|7||Feb. 23 and 25||184 - 225||18.6 - 18.9|
|8||Mar. 8 and 10||226 - 253||20 Learning Probabilistic Models|
|9||Mar. 15 and 17||254 - 279||20, 21 Reinforcement Learning|
|10||Mar. 22||280 - 300||3 Solving Problems by Searching||Mar. 31||301 - 315||3 Solving Problems by Searching|
|11||Apr. 5 and 7||316 - 349||4 Beyond Classical Search, 5 Adversarial Search|
|12||Apr. 12 and 14||350 - 379||7 Logical Agents|
|13||Apr. 19 and 21||380 - 410||8 First-Order Logic, 9 Inference in First-Order Logic|
|14||Apr. 26||Student presentations|
|Apr. 28||411 - 434||9|
The essay must begin with an abstract of the contents. The main content is divided into sections and it ends with the list of references. You need to base your essay on at least three articles and they have to be referenced in the text. Own contributed text and citations have to be separated clearly. Whenever you make a claim which cannot be seen to be common knowledge among computer scientists, it has to be made clear from which source the claim comes from.
The intended audience for the essay is your fellow students knowledgeable in computer science and quick to learn, but no experts on the specific topic of your study. The essay should first introduce the background and required concepts for understanding details of its topic. The essay will be graded on the basis of general appearance, structure, language, and interestingness on the scale 0-5.
A short (15 min) presentation on the essay may be given on April. The presentation yields up to 3 extra points. Prepare to distribute some copies of your essay (or its short version) for the audience.
Plagiarism is strictly prohibited. Do not base your essay on Wikipedia alone.
Deadline for the essay is May 8, 2016. Please deliver your essay to Juho Lauri preferably as pdf file.
You can modify the general topics by specifying a given key word or combining two key words into one topic. We particularly recommend categories:
Heuristic Search and Optimization
Machine Learning Methods
Search and Constraint Satisfaction
You may also propose a topic of your own. Please reserve a topic/confirm the suitability of your own topic with Juho.
The length of the essay is 5-10 pages. Groups with more members are expected to produce longer essays than students working on their own. The presentation length should be 15 minutes (not too many slides). Instructions for task (1) are given in http://math.tut.fi/~laurij/ai-assignment/
April presentations organized (time and place announced later)
May 4 course exam
May 8 deadline for tasks (1) and (2)
|1-4||IV Uncertain knowledge and reasoning|
|13 Quantifying Uncertainty|
|14 Probabilistic Reasoning|
|16 Making Simple Decisions|
|17 Making Complex Decisions|
|18 Learning from Examples|
|19 Knowledge in Learning|
|20 Learning Probabilistic Models|
|21 Reinforcement Learning|
|3 Solving Problems by Searching|
|4 Beyond Classical Search|
|5 Adversarial Search|
|6 Constraint Satisfaction Problems|
|11-14||III Knowledge, reasoning, and planning|
|7 Logical Agents|
|8 First-Order Logic|
|9 Inference in First-Order Logic|
|10 Classical Planning|
|11 Planning and Acting in the Real World|