CSSE 413 - Artificial Intelligence
Rose-Hulman Institute of Technology
Computer Science and Software Engineering Department
Spring 2024

Prerequisites

CSSE 230 and a lot of curiosity.

Draft Course Desciption

In this course, we will study modern AI systems, their current accomplishments, positive as well as negative, issues surrounding their training, and their inner workings. We will formalize those systems as pattern recognizers and distinguish them from classical, symbol-manipulating AI. We will study how these systems become so incredibly powerful through a data driven feature learning. We will look at how they represent knowledge and study their reasoning abilities. We will additionally spend some time discussing the projected impact of anticipated systems and study the building of beneficial AI systems.

Instructor

Schedule

Please consult the schedule for class materials, topics covered and assignments.

Grading

Your grade will be calculate based on the following components and weights. Your assignment scores will be recorded in Moodle. I will assign grades according to the following over scores: 90+: A, 87-89.99: B+, 80-86.99: B, 77-79.99: C+, 70-76.99: C, 67-69.99: D+, 60-66.99: D, 0-59.99: F

ComponentWeight
Projects40%
Essays35%
Cutting-edge work presentation and report10%
Impact of AI presentation and report10%
Take-home final5%

The course has some activities which are individual ones, auch as the reviews and some of the programming assignments. Others are team activities, such as some of the programming assignments and the presentation of current work.

Late Policy. Late work will be scored as follows:

< 3 hours late100% of score
24 hours late85% of score
48 hours late50% of score
> 48 hours late0% of score

Newsgroup

See the Moodle course page.

Attendance Policy/Class Etiquette

Attendance policy

Artificial Intelligence is a fun and interesting topic. I expect that you participate fully in this class. If you are bored in class, feel free to suggest ways to make class more interesting. I expect everyone to be a good citizen, doing things which will aid in the learning of everyone in this course and avoiding activities which will distract from them.

Please conduct yourself in class and outside in a manner that is respectful to yourself and others.

If you feel unwell, for whatever reason, please be a hero and DO NOT come to class.

Academic Integrity

See the departmental statement on academic honesty. Dishonesty on any work turned in for grading may result in a lowered course grade or a grade of an F in the course. If at any time, you are concerned about whether certain actions of yours or others, may constitute a violation of this policy, please contact your instructor.

You may have heard about that new-fangled tool called ChatGPT. Please do not use it or like tools unless explicitly permitted in the assignment write-up.

Concerns

While we hope you feel comfortable speaking with any faculty in the department, if you have a concern and are not sure where to go, the following CSSE faculty have volunteered to be ombudsmen for the department: Sid Stamm (F216), Amanda Stouder (F222), Kim Tracy (D216) and Robert Williamson (F205).