| Course Title: Artificial Intelligence |
| Start Date: 01/28/2025 End Date: 05/13/2025 |
| Term: Spring Semester 2025 |
| 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         |
| Javier Burroni   |           | jburroni@mtholyoke.edu   |
| Meeting Dates         | Method         | Meeting days         | Meeting times         | Building name         | Room     | Frequency     |
| 01/28/2025 - 05/13/2025   | Lecture   | Monday and Wednesday   | 03:15PM - 04:30PM   | KNDD - Kendade   | 107   | 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   |
| NEURO0001   | NEURO: Neuroscience & Behavior Major   | This course has been approved to count towards the Neuroscience and Behavior major.   |
| NEURO0002   | NEURO-LB: Neuroscience 300-level Lab   | This course has been approved to count towards the Neuroscience and Behavior 300-level laboratory requirement.   |
| DATA0003   | DATA-SE: Data Science Elective Course   | This course is an elective option for the Data Science major.   |
| Cross-listed Sections         |
| None   |
| Course Availability | ||||
| Section status: Open     | Capacity: 18     | Enrollment: 8     | Available: 10     | Waitlist: 0 |
BOOK INFORMATION
| Book List         | Required         | Publisher Full Price         |
| Title: Artificial Intelligence: A Modern Approach Author: stuart, russell Copyright: 2020 Edition: Volume: ISBN: 9780134610993 Publisher: pearson |
Required   | 159.99   |
| Additional Book Comments         |
| This is NOT the complete book list for this class.   |