Class Policies
CS B551: Elements of Artificial Intelligence
Staff
Professor
Kris Hauser
Office: Informatics East, 257
(connector building)
Phone: 856-7496
Email: hauserk at indiana.edu
Office hours: Tuesday 10-11am,
Wednesday 1-2pm
Associate instructors:
Mark Wilson
Office: TBA
Email: mw54 at indiana.edu
Office hours: Monday 1-2pm,
Thursday 9-11am
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 (CS C343 equivalent). 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, Third edition, Prentice Hall, 2009.
Meeting times
Classes meet on Tuesdays and Thursdays from 4:00pm to
5:15pm in Ballantine Hall, room 217.
Exams
There will be a final exam on TBA. You are allowed to bring one page of
notes, front and back.
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 (70%)
and final exam (30%) scores. There
will be 8 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
optional. Projects may be done in a number of ways, such as applying AI
techniques to real-world problems, writing a research survey, and reproducing
results from recent AI papers. More information will be provided in-class.
Students who opt to complete a final project will produce
an original technical report as well as a 10 minute in-class presentation
near the end of the semester. The final project grade will substitute for 3
homework assignments.
|