COSC 505: Artificial Intelligence

Class Time:	TR 11:40-12:55 PM
Classroom:	WAL 494B (T), REI 103 (R)
Instructor:	Mark Maloof
Office:	240 Reiss
Mailbox:	240 Reiss
Office Hours:	In-person (325 STM): TR 11:00 AM–12:00 PM; online: M 10:30–11:30 AM and W 3:00–4:00 PM; or by appointment. Send me an email to get the Zoom link for online office hours. (or by appointment)

Syllabus

• Course Description
• Schedule
• Course Policies

Assignments and Grading

• Midterm Exam (distributed 10/14, due 10/21), 20%
• Final Exam (distributed 12/8, due 12/17), 30%
• Programming Projects, 30%
  • Project 1 (assigned 9/2, due 9/27) 2.4 points
  • Project 2 (assigned 9/27, due 10/13) 4.2 points
  • Project 3 (assigned 10/21, due 11/5) 7.8 points
  • Project 4 (assigned 11/5, due 11/19) 7.8 points
  • Project 5 (assigned 11/19, due 12/8) 7.8 points
• Semester Research Project
  • Research Project, 20%
    • Research Prospectus; due 10/14
    • Research Paper; due 12/8
• Homework (optional)
• Additional Reading (on electronic reserve):
  1. Turing, A., Computing machinery and intelligence (read by midterm).
  2. Newell, A., and Simon, H.A., Computer science as empirical enquiry (read by midterm).
  3. Searle, J., Minds, brains, and programs (read by last class).
  4. Dreyfus, H.L., and Dreyfus, S.E., Making a mind versus modeling the brain (read by last class).
  5. Simon, H.A., Why should machines learn? (read by last class).

Grading

(defun grading (grade)
  (cond
    ((>= grade 93) 'A)
    ((>= grade 90) 'A-)
    ((>= grade 87) 'B+)
    ((>= grade 83) 'B)
    ((>= grade 80) 'B-)
    ((>= grade 77) 'C+)
    ((>= grade 73) 'C)
    ((>= grade 70) 'C-)
    ((>= grade 67) 'D+)
    ((>= grade 63) 'D)
    (t 'F)))

Resources

• Sources of lecture material (PDF file)
• Project grading sheet

• CMU AI Repository
• UCLA AI FAQ

• NEC ResearchIndex

• GNU Common Lisp (gcl), installed on gusun and on cssun. Also for Linux.
• GNU gcl Documentation
• GNU CLISP, installed on gusun, cssun, and daruma; also for Windows, Linux, and others
• CMU Common Lisp for Linux and others (see me before attempting to install this under RedHat)

• Common Lisp, the Language, 2nd Edition, by Steele (on-line version).
• Common Lisp: A Gentle Introduction to Symbolic Computation, by Touretzky (on-line version).
• An Introduction and Tutorial for Common Lisp
• A Lisp Primer

• vi In formation Links
• Lemmy, the UNIX vi editor for Windows
• More vi clones for Windows
• vi Editor Reference Card (PDF file)

• JavaBayes: a Java applet for Bayesian inference networks

Marginally Interesting Links

• The Association of Lisp Users
• How to Become a Hacker
• Another view of Lisp, not that I agree with everything he says.

Copyright © 2019 Mark Maloof. All Rights Reserved. This material may not be published, broadcast, rewritten, or redistributed.