CS121 - Introduction to Artificial Intelligence
Description & Organization
CS121 is an introduction to concepts and methods in artificial intelligence, including search, constraint propagation, knowledge representation, planning, reasoning under uncertainty, and inductive learning. It is intended for students with reduced background in computer science (CS103B or CS103X is a prerequisite, but this can be discussed with the instructor). It overlaps with CS221, but it is less advanced and intensive. Nevertheless, students are expected to work hard in this class. They must have some programming experience (106B or 106X) in order to understand better some of the algorithms and data structures presented. Familiarity with the basic concepts of logic and probability theory will also be helpful. CS121 is a 3-unit course.
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S. Russell and P. Norvig. Artificial Intelligence: A Modern Approach. 3rd Ed., Prentice Hall, 2010.
The second edition of 2003 is perfectly ok as well. The first edition of 1995 is ok, but contains errors that have been fixed for the 2nd edition. The 2nd and 3rd editions also provide much better coverage of Constraint Satisfaction and Planning, two topics that will be presented in this course.
- There will be 7 homework assignments (see schedule page).
- A link to each new HW will be posted on the schedule page on a Monday. The HW will be due on the Tuesday of the following week at 12-noon.
- Each HW must be returned in printed hardcopy form in the drawer marked CS121 of a file cabinet located in the entryway of the Gates building next to office Gates 182 (see red arrow in map)
- HWs returned after the pick-up time will not be graded. There will be no exception! But see 2nd item of grading section.
- There will only be a final..
- The final exam will be held Wednesday March 16th at 8:30-11:30am in MCCULL115.
- It will be a problem set similar in type and difficulty to those in the HWs.
- It will be closed book, but you will be allowed to bring two two-sided 8.5"x11" pages of written or typed notes.
- The HWs will count for 65% of the total grade and the final for 35%.
- Each HW will be individually graded with equal weight, but only the 5 best HWs will be retained for the final grade. If you skip 2 HWs at the beginning of the quarter, you take a risk. It is up to you to manage that risk.