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Fall 2002

 
 
 
 
Course Syllabus

General Information

Course :    CSC416    Foundations of Artificial Intelligence
Instructor :    Craig Graci
Text :    none
Office :    114 Snygg Hall
Telephone :    315.312.2690

Course Description

Elements of Common Lisp will be introduced through examples and a number of programming exercises. These examples and exercises will feature basic tools and techniques associated with the field of Artificial Intelligence (AI), including state space problem solving , problem reduction methodologies , minimax game playing , and productions systems . We will commence our study of Lisp with elementary built in data types and culminate our study with an in depth examination of CLOS, the Common Lisp Object System. In between we will perform recursive list processing, program with higher order functions, design macros, and compute with a host of other language features. In short, we will explore a wealth of programming language concepts and constructs.  

The Prolog language will then be introduced through examples and a number of programming exercises. The Prolog expierience will benefit from the earlier Lisp expierience through which numerous important concepts of a general nature will have been learned. Emphasis will be placed in pattern matching and the inferential nature of Prolog. Exercises will feature classic knowledge representations assiciated with the field of Artificial Intelligence.  

The important areas of neural networking and evolutionary programming will be introduced, conceptually and computationally.  

Throughout the semester readings will be assigned which generally discuss fragments of AI from a historical perspective. The premise here is that, as with the learning of a natural language, the learning of an artificial language can be greatly enriched by a close look at (virtual emersion in) the culture in which the language thrives. While Lisp and Prolog are both general purpose programming languages, Artificial Intelligence is the culture in which these two languages thrive.

Main Course Objectives

  • To describe foundational elements of Artificial Intelligence, especially aspects of knowledge representation and search .

  • To write programs in the Lisp programming language, programs with an AI flavor which implement various foundational concepts. Common Lisp (including CLOS) will be the featured Lisp dialect.

  • To write programs in the Prolog programming language, programs with an AI flavor which implement various foundational concepts.

  • To introduce the basic ideas associated with neural networking and evolutionary programming .

  • To discuss historical events and cultural elements associated with the field of Artificial Intelligence.

Requirements

You are required to regularly attend class. You are required to take all exams and quizzes. Beyond this, you are required to satisfactorily complete two activities.
  1. Programming Challenges
  2. Course Web Site

Grading

Your grade will be determined by the following 3 step procedure.
  1. Establish a grade of A, B, C, D or E, based on the total number of points you earn on four examinations and a number of quizzes. Three of the exams will be "regular season" exams, each worth 100 points. The fourth exam will be your "final exam" , worth 150 points. The quizzes will be "randomly" administered throughout the semester, and will collectively count 100 points.

  2. Once your exam has been determined, it will be lowered one letter grade for each of the following requirements, that you fail to "satisfactorially" complete them. In this context, "satsifactory completion" means "C or better".  

    • Programming Challenges
    • Personal Course Web Site

  3. In the few cases where your grade as determined by Step 1 is a really close call, it will be "promoted" or "demoted" to fit squarely within one of the two equidistant grade categories according to whether or not your grades on each of the requirements mentioned in Step 2 is "very high" or not. In this context, "very high" means "A".

Other Things

  1. All assignments for which submission is required must be handed in to me immediately after class in the room where this class regularly meets. All assignments must be presented in the form of an 8 1/2 x 11 inch document, bound on the left by three staples. Each must begin with a title page which includes your name, the number of the assignment, and a brief description of the assighment.

  2. Requests to make up exams or assignments will rarely be considered unless accompanied by a written medical excuse for your absense.

  3. It is intended that you complete your work by yourself. You are, of course, welcome to ask specific technical questions of others and converse over conceptual issues, but you should be doing your own work. Compelling evidence that someone other than you contributed conspicuously to the completion of required work will result in a "maximum negative" grade for that assignment, failure in the course, or worse.