CS 305: Artificial Intelligence
Course Description:
The student will learn the terminology and methods used in a variety of
artificial intelligence areas.These topics will be covered: history of
artificial-intelligence, search techniques, knowledge representation.
In addition, one or more of these topics will be covered:
expert systems, uncertainty, case-based reasoning, neural networks,
vision, robotics. The student may use various AI tools, Lisp, and/or Prolog for AI projects.
Prerequisite: CS 352. 3:0:3
Learning Outcomes:
Upon completion of this course the student should be able to:
- Explain the history of artificial intelligence.
- Explain and trace various search algorithms.
- Solve first-order logic problems.
- Explain knowledge representation techniques.
- Do one or two of these:
- Solve problems involving uncertainty.
-
Explain and trace machine learning techniques including neural network
learning.
- Explain and analyze vision concepts.
- Explain and analyze robotics concepts.
-
Write programs that implement artificial intelligence algorithms for
some of the learning outcomes items.
See below "Additional Information" section regarding the use of Lisp as the implementation
language.
Assessment Measures:
| Assessment Tool |
Linkage to Learning Outcome #: |
| |
|
| Homework Assignments: |
|
| Assign a sufficient amount of homework such that all
of the above objectives are covered. |
All |
| For each homework assignment, include short answer
questions that require the student to apply the above objectives. |
1-5 |
| For certain homework assignments, the student will
be asked to solve a problem(s) by applying an appropriate artificial intelligence
algorithm. |
2-6 |
| For certain homework assignments, the student will
be asked to analyze or trace an artificial intelligence algorithm. |
2-5 |
| For certain homework assignments, the student will be
asked to implement an artificial intelligence algorithm with a working program. |
6 |
| |
|
| Exams: |
|
Include one or more of:
short answer, multiple choice, algorithm trace. |
1-5 |
| Given a problem description, apply an appropriate
artificial intelligence algorithm. |
2-5 |
| Given a problem description, write a solution using
pseudocode or a programming language. |
6 |
Textbooks:
To view the approved textbook list, click
here.
Additional Information:
Instructors are strongly encouraged to assign several programming projects that
implement AI concepts. Instructors may require students to use Lisp since
compilers for those three languages are installed on Park's lab computers.
Optionally, students may want to download a free trial version of Lisp here:
http://www.franz.com
