CSE 630: Survey of Artificial Intelligence I: Basic Techniques

MWF 12:30-1:18, DL 305

Prof. Eric Fosler-Lussier

Email: f*o*s*l*e*r**@remove*#$punct_cse.ohio-state.edu
Office: DL 585
Office hours: TBA

TA: Tim Weale (likely)

Email: w*e*a*l*e**@remove*#$punct_cse.ohio-state.edu
Office: DL 580
Office hours: TBA

Description

A survey of the basic concepts and techniques of problem solving paradigms and knowledge representation schemes in Artificial Intelligence (AI).

Level, Credits, Class Time Distribution, Prerequisites

Level	Credits	Class Time Distribution	Prerequisites
UG	3	2cl	CSE 222 and Math 366

Quarters Offered, General Information, Exclusions, Cross-Listings, etc.

AU WI SP

Objectives

Master basic search techniques for problem solving, including systematic blind searches, heuristically guided searches, and optimal searches
Be familiar with game-tree search methods and the requirements for expert-level game play
Be familiar with logic and proof as a basis for knowledge representation and automated reasoning
Be familiar with semantic nets and frame systems as knowledge-representation formalisms
Be exposed to problems in common sense reasoning and language understanding
Be exposed to integrated AI architectures as a platform for building AI systems
Be exposed to machine learning techniques and the kinds of problem they solve

Text:

Artifical Intelligence, A Modern Approach by Russell and Norvig, second edition, Prentice Hall, 2002

Topics

Number of Weeks	Topics
2	Basic representation and problem solving methods
2	Search techniques
2	Knowledge represention using logic
2	Machine Learning or Probabilistic Inference
1	Planning and common sense reasoning
1	Perception and Communication

Policy on Academic Misconduct

As with any class at this university, you are required to follow the Ohio State "Code of Student Conduct." If you are unfamiliar with this policy, you should read it at http://studentaffairs.osu.edu/pdfs/csc_12-31-07.pdf. In particular, you should note that you are not allowed to, among other things, (a) knowingly provide or receive information during exams, (b) knowingly provide or receive assistance on homeworks unless I say it's OK, and (c) submit plagiarized (copied but unacknowledged) work for credit. If I suspect that any violation occurs, I am required to report the violation to the Council on Academic Misconduct. COAM will determine the guilt or innocence and appropriate penalties if any.

Grading Plan

This is the approximate weighting of the different components of this course:

Homeworks	30%
Midterm exams	40%
Final Exam	30%

There are 6 homework assignments, some with programming and some pencil and paper; the top five scores will count towards the homework portion of the grade. You can drop the lowest grade, or just not do one of the homeworks. Late homeworks will be penalized 10 points for every hour late or fraction thereof. You will need to submit your homeworks via the ``submit'' command on the unix clusters. All code must be runnable on the unix system, even if you've developed it on other platforms. You may use the programming language of your choice.

Please note the exam dates on the calendar (April 22, May 13, Final exam on June 8 at 11:30 am). Excuses from exams will only be given with prior notice (in the case of reasonable conflicts), or with a doctor's note. Documentation is needed in all instances. If you're sick enough to miss a class, they you should be at the health center; they can give you a note.

Carmen/Email

I will be using carmen for discussions and announcements. Homework assignments will be distributed through carmen. In case I need to make an announcement where I need to reach people quickly, I will utilize osu's name.#@osu.edu email aliases; if you do not read that email regularly please make sure to forward it to someplace where you do read email. I will also post course notes on the website; this does not absolve you from reading the book nor listening in class -- I may test on materials not covered strictly in the notes.