Page last updated: January, 7 1997


CS-95: Intelligent Systems

Welcome to the homepage for CS-95. The purpose of this homepage is disseminate information and provide a platform for interchange of ideas related to this course.

Work Space

Here is a resource page for intelligent text summarization.

Instructors

Meeting Times

Tuesdays and Thursdays 8:30-9:50 am, N104
(We would like to reschedule the meeting time to one evening.)

Brief Description of the Course

This course will give the student the opportunity to design and develop intelligent systems for domain specific areas. As such, it is a project oriented course. Each student will be a member of a research group. Each group will work on a semester long project under the supervision of at least one of the instructors. The domain specific areas include web search, natural language processing, and machine learning in biology. The instructors will make presentations on topics relevant to the student research. Students will report on the progress of their ongoing research.

Course Objectives

There are three main objectives to be accomplished with the completion of this course:
  1. To actively involve the student in the research process as it applies to building intelligent systems.
  2. To familiarize the student with the latest concepts and techniques useful for building intelligent systems.
  3. To give the student the facility for using several AI techniques as application tools.
It is our fond hope that you all consider presenting your research at the Hudson River Undergraduate Mathematics Conference. It is begin held at Union College this year. The deadline for abstracts is February 20th.

Method of Instruction

The course revolves around three methods of instruction. First and foremost will be the student-centered exploratory learning approach. This involves students in small groups working on a real problem. The student will be expected to research the topic, make presentations on their findings, and to apply appropriate knowledge to their projects. The second form of instruction is also student centered. Groups of students will make presentations to the whole class on topics important to building intelligent systems. Discussion will be used to further elucidate the ideas presented. Finally, the instructors will use lecture and demonstration to teach the students about relevant areas of artificial intelligence.

Course Requirements

The course requires the students to actively participate in a group research project. This includes participation in class discussion about the student's own group project as well as other student group projects. More specifically,
  1. Project: The student will be required to be an active member of a research team. This team will investigate solutions to building intelligent systems in a specific domain area.
  2. Presentation: Students will be required to make several presentations throughout the semester. These presentations will concern progress made in their research, including problems encountered and possible solution.
  3. Discussion: Discussion sessions will be held throughout the semester. The student is expected to be an active participant in them.

Student Evaluation

Class Participation 20%
Class Presentations 20%
Research Report 60%