| Course Title: Artificial Intelligence |
| Start Date: 01/21/2020 End Date: 05/05/2020 |
| Term: Spring Semester 2020 |
| Description: Artificial Intelligence, as a field, has grown from its humble beginnings in science fiction to become one of the broadest fields in computer science, encompassing an incredibly wide array of topics. One of the common threads between these topics is "How do we build computer systems which exhibit logic and reason?" or rather "How do we build systems which can solve problems intelligently without resorting to brute force?" We'll cover a few major topics in this course, most notably search, logical reasoning, and planning as well as game playing/theory, uncertain reasoning, and graphical models. This course is programming intensive. |
| Distribution(s): II - Math & Sciences |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Lisa Ballesteros | 413-538-2421 | lballest@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/21/2020 - 05/05/2020 | Lecture | Tuesday and Thursday | 10:00AM - 11:15AM | CLAP - Clapp Laboratory | 218 | Weekly |
| Requisite Courses | ||
| Prereq: COMSC-225 and MATH-232. | Take previously | Required |
| Comments |
| Additional Comments |
| Course Tags | ||
| NXDTA0001 | NXDTA: Nexus in Data Analytics and Society | This course is approved for the Data Analytics |
| Cross-listed Sections |
| None |
| Course Availability | ||||
| Section status: Open | Capacity: 18 | Enrollment: 16 | Available: 2 | 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. |