| Course Title: Introduction to Computational Problem Solving: 'Artificial Intelligence' |
| Start Date: 01/21/2020 End Date: 05/05/2020 |
| Term: Spring Semester 2020 |
| Description: Introduces students to algorithms, basic data structures, and programming techniques, and basic methods from artificial intelligence. Includes discussion of foundational papers in AI. Programming exercises will explore what is necessary in order to get computers to operate in ways that seem intelligent such as in game play or solving puzzles. |
| Distribution(s): II - Math & Sciences , TP - Topics Course |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Valerie Barr | vbarr4@gmail.com |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/21/2020 - 05/05/2020 | Lecture | Tuesday and Thursday | 11:30AM - 12:45PM | KNDD - Kendade | 305 | Weekly |
| Requisite Courses | ||
| Coreq: COMSC-151ARL. | Take concurrently | Required |
| Comments |
| Additional Comments |
| Additional seats will open for all students after first year students have registered. |
| Course Tags | ||
| DATA0001 | DATA-SCI: Data Science Core Course | This is a required core course of the Data Science major. |
| Cross-listed Sections |
| None |
| Course Availability | ||||
| Section status: Open | Capacity: 38 | Enrollment: 35 | Available: 3 | Waitlist: 0 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| To be determined. |
| Additional Book Comments |
| This is NOT the complete book list for this class. |