PSYC 303 Artificial Intelligence
This course investigates current and past work in the field of artificial intelligence (AI). Definitions of intelligence are considered and mechanisms and performance of AI application systems are studied ¿ has artificial intelligence matched or exceeded human intelligence? Comparisons are made to human intelligence as the class evaluates achievements in the AI application areas of problem solving, expert systems, neural networks, natural language processing, speech recognition, computer vision, machine learning and robotics. Course explores the philosophy of consciousness and the future social and economic changes that AI and particularly Large Language Models (e.g., ChatGPT) may cause.
Prerequisites
4 Undergraduate credits
Effective August 1, 1998 to present
Meets graduation requirements for
Learning outcomes
General
- Students will know some of the reasons why Artificial Intelligence continues to fall short of human-like performance.
- Students will learn the scientific process as it applies to Artificial Intelligence.
- Students will understand some ways in which human and machine information processing are similar and the important ways in which they are different.
- Students will understand the detailed principles of Artificial Intelligence.
Minnesota Transfer Curriculum
Goal 5: History and the Social and Behavioral Sciences
- Employ the methods and data that historians and social and behavioral scientists use to investigate the human condition.
- Examine social institutions and processes across a range of historical periods and cultures.
- Use and critique alternative explanatory systems or theories.
- Develop and communicate alternative explanations or solutions for contemporary social issues.
Spring 2024
| Section | Title | Instructor | books | eservices |
|---|---|---|---|---|
| 50 | Artificial Intelligence | Lysen, Paul | Books for PSYC-303-50 Spring 2024 | Course details for PSYC-303-50 Spring 2024 |