Class Policies
CS B551: Elements of Artificial Intelligence
Staff
Professor
Kris Hauser
Office: Lindley 301F
Phone: 856-7496
Email: hauserk at indiana.edu
Office hours: Monday 1-2pm,
Thursday 1-2pm
Associate instructors:
Ik Hyun Park
Office: Lindley 325
Email: ikpark at indiana.edu
Office hours: Tuesday/Thursday 1:20-2:20pm
Mark Wilson
Office: Lindley 406
Email: mw54 at indiana.edu
Office hours: Monday 10am-12pm
Prerequisites
This course is aimed at Masters students, beginning PhD students, and
high-level undergraduates in computer science, as well as students in related
fields who have a strong computing background. The course is intended for
students with limited exposure to AI; if you have a strong background, please
contact the instructor.
Experience with computer programming, data structures, and algorithms will
be assumed. Programming projects shall be written in Python. Python
has a reputation for being extremely easy to learn; those with a strong
programming background can develop competency in Python in hours or days.
Please contact the instructor prior to the first programming assignment if
you expect difficulty.
Russell & Norvig's
Artificial
Intelligence: A Modern Approach, Second edition, Prentice Hall, 2003.
Meeting times
Classes meet on Tuesday and Thursday, 4:00-5:15 in BH006.
Exams
There will be a final exam on December 15, from 7:15-9:15.
Policies
Everyone is responsible for reading the departmental
statement on academic integrity before starting the first assignment.
Homeworks, including programming projects, are to be completed
individually. You may discuss the material with other students, but all
written work must be your own.
Homework assignments are due by the end of class on the due date unless
otherwise specified. Extensions are granted only in extenuating circumstances
at the discretion of the instructor. Requests for extensions require advance
notice (except for emergencies).
Email policy
Questions
can be directed by email to either the instructor or RA. Please begin the
subject line with "B551". Email will be responded to within 24
hours, unless otherwise noted. Please allow sufficient time for responses
before assignment deadlines.
Grading policy
The final grade will be comprised of homework (60%),
final exam (30%), and participation (10%) scores.
There will be 7 homework assignments. In the overall
homework score, the grade of the lowest scoring assignment will be dropped.
Optional Final Project
Students that intend to continue coursework or research in
AI are highly encouraged to pursue a final project. The project is
entirely optional. Projects may be done in a number of ways, such
as applying techniques learned in class to real-world problems, writing a
research survey, and reproducing results in a recent AI paper. More
information will be provided in-class.
The final project grade will substitute for two homework
assignments. Grades will be assessed from a technical report as well as a
short in-class presentation near the end of the semester.
|