| Overview | Grades | Text | Schedule | Handouts |
- Meeting Times: Monday, Wednesday, Friday, 4:00 - 5:00 PM
- First Class: Wednesday, September 9, 2009
- Location: DMP 110
- Instructor: Kevin Leyton-Brown
- Instructor's Office Location: CICSR 185
- Instructor's Office Hours: Available after each class for at least half an hour; available other times by appointment.
- TA Office Hours:
- Byron: Thursdays 1 PM - 2 PM, X150 (Learning Center)
- Hajir: Fridays 2 PM - 3 PM, X150 (Learning Center)
- Course Discussion Board: (the place to submit your questions and get answers, as well as see answers given to others): log into WebCT Vista using your CWL (direct link)
- CISpace: demo applets that illustrate some of the techniques covered in class
- Prerequisites: Either (a) CPSC 221 or (b) both of CPSC 216, CPSC 220 or (c) all of CPSC 211, CPSC 260, EECE 320.
- Final exam: TBA
What do I do if I get the flu (e.g., H1N1)?
- Self-isolate: stay away from campus until you're fever-free for 24 hours.
- Don't get a doctor's note: fill out the web form here, which suffices as a medical excuse.
- Follow the course on this page, and contact
Kevin if you have additional questions.
Grading Scheme: Evaluation will be based on a set of assignments, a midterm, and an exam. Important: you must pass the final in order to pass the course. The instructor reserves the right to adjust this grading scheme during the term, if necessary.
- Assignments -- 20%
- Midterm -- 30%
- Final -- 50%
If your grade improves substantially from the midterm to the final, defined as a final exam grade that is at least 20% higher than the midterm grade, then the following grade breakdown will be used instead.
- Assignments -- 20%
- Midterm -- 15%
- Final -- 65%
The assignment grade will be computed by adding up the number of points you get across all assignments, dividing this number by the number of possible points, and multiplying by 20. Assignments will not be graded out of the same number of points; this means that they will not be weighted equally.
Late Assignments: Assignments are to be handed in IN CLASS at the start of lecture on the due date. However, every student is allotted four "late days", which allow assignments to be handed in late without penalty on three days or parts of days during the term. The purpose of late days is to allow students the flexibility to manage unexpected obstacles to coursework that arise during the course of the term, such as travel, moderate illness, conflicts with other courses, extracurricular obligations, job interviews, etc. Thus, additional late days will NOT be granted except under truly exceptional circumstances. If an assignment is submitted late and a student has used up all of her/his late days, 20% will be deducted for every day the assignment is late. (E.g., an assignment 2 days late and graded out of 100 points will be awarded a maximum of 60 points.)
How late does something have to be to use up a late day? A day is defined as a 24-hour block of time beginning at 4 PM on the day an assignment is due. To use a late day, write the number of late days claimed on the first page of your assignment and submit your assignment to the course drop box located in the basement of CICSR, or just bring it to class if it's less than an hour late. Examples:
- Handing in an assignment at the end of lecture on the day it is due consumes one late day.
- Handing in an assignment at 10:15 the morning after it is due consumes one late day.
- Handing in an assignment at 4:30 the day after an assignment is due consumes two late days.
Assignments can be handed in electronically using handin; this is the only way to hand in late assignments over a weekend. Written work can also be put in Kevin's mailbox in the main CS office (room 201); ask the secretary to time-stamp it.
Missing Deadlines or Exams: In truly exceptional circumstances, when accompanied by a note from Student Health Services or a Department Advisor, the following arrangements will be made.
- If an assignment cannot be completed, the assignment grade will be computed based on the remaining assignments. Note that such an arrangement is extremely unusual--the late day system is intended to allow students to accommodate disruptions from moderate illness without contacting the instructor.
- If the midterm is missed, its grades will be shifted to the final. This means the final will count for 80% of the final grade, and assignments will count for the remaining 20%.
- If the final is missed, a make-up final will be scheduled. This make-up final will be held as soon as possible after the regularly scheduled final.
Academic Conduct: Submitting the work of another person as your own (i.e. plagiarism) constitutes academic misconduct, as does communication with others (either as donor or recipient) in ways other than those permitted for homework and exams. Such actions will not be tolerated. Specifically, for this course, the rules are as follows:
- The written part of assignments is to be done alone. You may not, under any circumstances, submit any solution not written by yourself, look at another student's solution (this includes the solutions from assignments completed in the past), or previous sample solutions, and you may not share your own work with others. All work for this course is required to be new work and cannot be submitted as part of an assignment in another course without the approval of all instructors involved.
- You may, however, discuss your solutions and design decisions with your fellow students. In other words, you can talk about the assignments, but you cannot look at or copy other people's answers.
- The programming part of assignments is to be done either alone, or working with one other student. If you work with another student, each of you must hand in a copy of your work separately. You may not submit any solution not written by yourself and this one other student, look at other students' solutions (this includes the solutions from assignments completed in the past), or previous sample solutions, and you may not share your own work with others. All work for this course is required to be new work and cannot be submitted as part of an assignment in another course without the approval of all instructors involved.
Violations of these rules constitute very serious academic misconduct, and they are subject to penalties ranging from a grade of zero on the current and *all* the previous assignments to indefinite suspension from the University. More information on procedures and penalties can be found in the Department's Policy on Plagiarism and collaboration and in UBC regulations on student discipline . If you are in any doubt about the interpretation of any of these rules, consult the instructor or a TA!
Here is where you can find the course schedule and the PDF files from lectures. These dates will change throughout the term, but this schedule will be kept up to date. Assignment due dates are provided to give you a rough sense; however, they are also subject to change. Slides will not always be posted in advance. Furthermore, even when they are posted in advance, I don't promise to use the exact same slides in class. Slides from last year are available from last year's course webpage; they should be very similar to the slides I will use this year.
| Date | Lecture | Notes |
| Wed, Sept 9 | What is AI? | Assignment 0 on WebCT |
| Fri, Sept 11 | Representational Dimensions | |
| Mon, Sept 14 | Applications of AI | |
| Wed, Sept 16 | Search: Intro | Assignment 0 due |
| Fri, Sept 18 | Search: State Spaces; Search Framework | |
| Mon, Sept 21 | Search: Uninformed Search, Search with Costs | |
| Wed, Sept 23 | Search: Heuristic Search | |
| Fri, Sept 25 | Search: A* Search | Assignment 1 |
| Mon, Sept 28 | Search: Branch and Bound, other pruning | |
| Wed, Sept 30 | CSPs: Introduction | |
| Fri, Oct 2 | CSPs: Representation and Search | |
| Mon, Oct 5 | CSPs: Arc Consistency | |
| Wed, Oct 7 | CSPs: Local Search | Assignment 1 due |
| Fri, Oct 9 | CSPs: Stochastic Local Search Algorithms | |
| Mon, Oct 12 | Thanksgiving: university holiday | |
| Wed, Oct 14 | Planning: Representations | Assignment 2 (see below) |
| Fri, Oct 16 | Planning: Forward and CSP Planning | |
| Mon, Oct 19 | Logic: Intro and Syntax | |
| Wed, Oct 21 | Logic: Semantics | |
| Fri, Oct 23 | Logic: Proofs | |
| Mon, Oct 26 | Logic: recap on syntax, semantics, proofs | |
| Wed, Oct 28 | Logic: Datalog | Assignment 2 due |
| Fri, Oct 30 | Uncertainty: Probability Theory | |
| Mon, Nov 2 | Uncertainty: Conditional Probability | |
| Wed, Nov 4 | Uncertainty: Conditional Independence | |
| Fri, Nov 6 | Midterm review | Assignment 3 (see below) |
| Mon, Nov 9 | Midterm exam (1.5 hours) | |
| Wed, Nov 11 | Remembrance Day: university holiday | |
| Fri, Nov 13 | Uncertainty: Belief Networks | |
| Mon, Nov 16 | Uncertainty: Belief Network Examples | |
| Wed, Nov 18 | Uncertainty: Belief Networks: Inference | |
| Fri, Nov 20 | Uncertainty: Variable Elimination | |
| Mon, Nov 23 | Uncertainty: Hidden Markov Models | Assignment 4 (see below) |
| Wed, Nov 25 | Decision Theory: Single-Stage Decisions | Assignment 3 due |
| Fri, Nov 27 | Decision Theory: Sequential Decisions | |
| Mon, Nov 30 | Decision Theory: Markov Decision Processes | |
| Wed, Dec 2 | Decision Theory: Value Iteration | |
| Fri, Dec 4 | class is cancelled: get started studying for the exam! :-) | |
| Mon, Dec 7 |
DMP 310: Optional competition:
Rainbow Robot Deathmatch |
Assignment 4 due. Late days cannot be used for code part. |
Exercises are ungraded practice problems to help you prepare for assignments and exams. They're optional, but will definitely help you to master the course material.
Assessing your own learning:
- Here is a list of "learning goals" for the course, which detail concrete skills you should have after mastering each of the units.
- Here is a list of terms that have been defined so far in the course (up to the midterm). You should be familiar with the definition for each term. If you're not, this is a great way to realize what you need to study.