COMP 131 - Syllabus

Description and Objective:
This course is an introductory survey of artificial intelligence. The course will cover the history, theory, and computational methods of artificial intelligence. Basic concepts include representation of knowledge and computational methods for reasoning. One or two application areas will be studied, to be selected from expert systems, robotics, computer vision, natural language understanding, and planning.

Prerequisites: Comp 15 and either COMP/MATH 61 (formerly 22) or familiarity with both symbolic logic and basic probability theory.

Text:
The textbook for the course is Artificial Intelligence: A Modern Approach (3rd edition). Stuart Russell and Peter Norvig, Prentice Hall (2010) ISBN: 0-13-604259-7

Instructor:
Anselm Blumer

ablumer (at) cs dottufts dot edu
Halligan Hall, Room 211
Office Hours: Tuesdays 6 - 7 PM in Braker 222
or by appointment.
If requesting an appointment, please send an email suggesting some possible times for appointments.
Home page

Teaching assistant:
Matt Dunlap
matt (at) cs dottufts dot edu
Office hours in Halligan 121:
Mondays 7 - 8:30 PM
Tuesdays 6:30 - 8 PM
Wednesdays 4 - 5:30 PM
Note: No office hours on Monday, 21 April, but email Matt by that morning if you'd like to meet with him that afternoon

Communication:
Students are encouraged to communicate frequently with the instructor regarding any issues with the course. Students are encouraged to use email and office hours frequently. Any announcements regarding the course will be made via the course webpage or in class so be sure to check it frequently and be sure to get material for any class you miss.

Homework:
Homework will be assigned regularly in the course. While reading assignments will not be directly assigned it is important that students use the textbook to supplement their understanding of the material presented in the lecture. Many of the assignments will be written assignments due on Thursdays at the beginning of class on the due date specified. This work can be handwritten with the assumption that these assignments are legible. (A student may be asked to type their assignments if grading is not possible.)

There will also be a significant number of programming assignments, probably interleaved with the written assignments. Many of these will be in a procedural language such as C++ or Python, but at least one or two will be in Prolog. These will be submitted via "provide" and will usually be due at 11:30 PM on the due date.

Late Homeowork:
Because of the size of the class and the amount of homework 20% of the total number of points for the assignment will be deducted per weekday for written assignments and per calendar day for programming assignments. No homework will be accepted after one week.

Exams:
It is hoped that this course can be graded 100% on homework, but the instructor reserves the right to give exams if there is a significant case of academic dishonesty. In that case, there will be in-class exams on March xx and April xx and possibly a final on May 2 at noon, during the regularly scheduled final time. The final is cumulative. Exams are closed book and no electronic devices are allowed, but one 8.5 x 11 sheet of paper with notes on both sides can be brought to in-class exams and two such sheets for the final.

Grade Calculation:
Ideally, the course will be graded entirely based on the homework assignments, with homeworks worth varying amounts based on estimated difficulty.

If there is a significant case of academic dishonesty, then exams will count for 50% of the course grade and homework for the other 50%. If there is a final it will count as two in-class exams.

Feedback:
Your thoughts and concerns on this course are important. You are encouraged to give feedback to the instructor and teaching fellow throughout the term. As always students will be asked to fill out a course evaluation at the end of the term.

Academic Misconduct:
Students should read the Tufts brochure on academic integrity located at: http://uss.tufts.edu/studentaffairs/documents/HandbookAcademicIntegrity.pdf

A few highlights are presented to emphasize importance:

Absolute adherence to the code of conduct is demanded of the instructor, teaching fellow, and students. This means that no matter the circumstance any misconduct will be reported to Tufts University.

While students are encouraged to discuss course materials, no collaboration is allowed on homework. Specifically you may discuss assignments and projects verbally, but must write up or work on the computer alone. In addition any discussion should be documented. An example on the homework would be "Thanks to Ray for helping me understand Kolmogorov complexity." Another important example is citing a source, this could be "This information was adapted from www.boston.com"

While computers enable easy copying and collaboration both with other students and materials from the Internet, it is possible to use these same computers to detect plagiarism and collaboration.

If any student does not understand these terms or any outlined in The Academic Code of Conduct it is his/her responsibility to talk to the instructor.