Course Objectives
- To learn and appreciate the role of reasoning and knowledge representation in developing solutions to problems in artificial intelligence.
- To understand the philosophical foundations of problem-solving methods in artificial intelligence.
- To compare and evaluate different approaches to intelligent systems architecture and development.
General Information
Please read the general guidelines and policies that apply to this course, They are a part of this syllabus. This syllabus is freely available to anyone. Other course materials, announcements, discussions, etc. will be distributed using ANGEL (angel.uah.edu).
ANGEL Online Access
Communication in this class will be conducted through ANGEL. To access it, go to http://angel.uah.edu. You'll find instructions there about id/password and access information. You can get help from the TAG help desk at http://its.uah.edu/about/gethelp.php or at (256) 824-3333.
Assignments
There will be three assignments. You are required to discuss the problems with your classmates, although all work turned in must be your own. Assigments consist of your contributions to an ANGEL discussion group. 80% of your assignment grade will be based on the number of contributions you make to the discussion. 20% of your grade will be based on the instructors' evaluation of the quality of your contributions. Each student must provide one external reference per assignment.
Presentation / Project
Each of you will conduct a project on some topic related to the course. In preparation for your project, you will prepare a survey of relevant literature as background. Expect to have at least a dozen references. This forms the basis of a presentation. Each student will therefore have about 30 minutes to present their background and problem area(s), followed by a question-answer session. A one-page abstract of your presentation is required to be posted on ANGEL at least 24 hours prior to your presentation. The presentation schedule will be decided at least two weeks in advance.
In-class Participation
You'll be evaluated on the basis of your participation, both in the class and in your discussions.
Course Schedule
NOTE: Readings are to be done before the class at which they will be discussed.
| DATE | TOPIC |
READINGS | ASSIGNMENTS |
| Mon May 20 | Introduction | ||
| Wed May 22 | Data vs. Knowledge (Delugach) | ||
| Mon May 27 | No Class (Memorial Day) | ||
| Wed May 29 | Summarize online discussion | Assignment One begin project discusssions |
|
| Mon Jun 3 | Watson | handout (IBM Research Report) | |
| Wed Jun 5 | Watson | ||
| Mon Jun 10 | Knowledge Representation | CGs handout | |
| Wed Jun 12 | Knowledge Representation | Assignment Two | |
| Mon Jun 17 | Knowledge Acquisition (manual) | ||
| Wed Jun 19 | Knowledge Acquisition (automatic) | ||
| Mon Jun 24 | Reasoning (planning, inference, query) | ||
| Wed Jun 26 | Reasoning (constraints, control, etc.) | Assignment Three | |
| Mon Jul 1 | Exam | ||
| Wed Jul 3 | No class | ||
| Mon Jul 8 | Student Presentations (3 students) | ||
| Wed Jul 10 | Student Presentations (3 students) | ||
| Mon Jul 15 | Student Presentations (3 students) | ||
| Wed Jul 17 | Student Presentations (3 students) | ||
| Mon Jul 22 | Discussion of Student Projects | ||
| Wed Jul 24 | Active Knowledge Systems | Final Project due | |
| Fri Jul 26 | Final Examination |