| Instructor: | Prof. Henry Kautz | Office Hours: Friday 12:00 noon - 1:00pm, CSB 709 |
| Grad TA: | Xiaowan Dong | Office Hours: 5:00-6:00pm Tuesday & Wednesday, CSB 724 |
| Undergrad TAs: | Sean Esterkin |
Office Hours: 5:00-6:00pm Monday, 12:30-1:30pm Thursday, CSB 633 (CS Majors Lab) |
| Classroom | Meliora 203 |
Dishonesty: Claiming work by others as your own without attribution, unauthorized collaboration with other students. All cases will be referred to Academic Honesty Board.
Accommodations: I will make appropriate accommodations for students with learning differences. Inform me in writing within the first two weeks of class. Make an appointment to talk with me about differences that require accommodations beyond extra time on tests.
Coursework:
Programming: Projects must run on Linux on URCS instructional network. If you do not have an account (non-majors), contact grad TA Xiaowan Dong. Can use any language: Java, C, Python, LISP, Prolog, etc.
Project 2 Planning as Satisfiabillity
| date | lecture slides | assignments |
| 21 Jan | Lecture 01 - Introduction | |
| 23 Jan | Lecture 02 - Problem Solving | Homework: Read Chapters 2 and 3 this weekend |
| 28 Jan | Lecture 03 - Search Strategies | |
| 30 Jan | Lecture 04 - Local Search | Search Algorithm Demos. Demos are Java applets. If you are running Java 7 version 51 or newer, you must add this domain http://www.cs.rochester.edu to Exception Site List (whitelist) in Java preferences in Settings or Control Panel.
Homework 01 Search posted. Solutions will be handed out in class on Thursday 6 February. You will need to know how to problems similar to these on the exams! Also, read Chapter 4 of AIMA. |
| 4 Feb | Lecture 05 - Adversarial Search | |
| 6 Feb | Lecture 06 - Alpha-Beta Pruning | Project 1 Othello posted |
| 11 Feb | Homework 02 Games posted | |
| 13 Feb | Lecture 08 Propositional Logic | |
| 18 Feb | Lecture 09 Propositional Inference | Homework 02 solutions given out in class |
| 20 Feb | Exam 1: Search | |
| 25 Feb | Lecture 10 First-Order Logic | |
| 27 Feb | Lecture 11 First-Order Inference | Othello Phase I due |
| 4 Mar | Planning I | ULW Outlines due (hardcopy) |
| 6 Mar | Planning II | Homework 03 solutions given out in class |
| March Break | ||
| 18 Mar | Exam 2: Logic | |
| 20 Mar | Probabilistic Reasoning | Othello Phase II and Othello Phase III (Optional) due |
| 25 Mar | Bayesian Networks | |
| 27 Mar | Learning & Approximate Inference in Bayesian Networks | |
| 1 Apr | (Class cancelled) | ULW First Draft due (hardcopy) |
| 3 Apr | Learning from Examples | Homework 04 solutions are in the box outside of CSB 709 |
| 8 Apr | Exam 3: Probability & Learning I | Project 2 due |
| 10 Apr | Project 3 Neural Networks posted Reading on Blackboard Reserves: Chapter 4: Artificial Neural Networks, in T. Mitchell, Machine Learning, McGraw-Hill, 1997. |
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| 15 Apr | ||
| 17 Apr | Workshop | |
| 22 Apr | Reinforcement Learning | |
| 24 Apr |
(Same slides as previous lecture) |
Homework 05 Learning and All Course Review posted. Solutions with not be given out for this assignment. You should complete all the problems in order to prepare yourself for the final exam. |
| 29 Apr | Wrap Up and Review | Project 3 due ULW Final Draft due (hardcopy) |
| 9 May | 4:00-6:00pm Final Exam | Learning II + all previous material |