CSSE 413 - Artificial Intelligence
Rose-Hulman Institute of Technology
Computer Science and Software Engineering Department
Fall 2021
Prerequisites
CSSE 230 and a lot of curiosity.
Learning Outcomes
Students who successfully complete this course should be able to:
- Apply:
- search,
- reasoning,
- knowledge representation,
- planning, and
- learning in artificial intelligence
- Explain philosophical and ethical issues surrounding artificial
intelligence.
- Explain current applications of artificial intelligence.
Instructor
TA
Eric Chen is our TA this term. His RHIT username is: chenz16
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
- Projects.
- Homework.Various assignments designed to learn the course materials
- Cutting-edge work presentation: Presentation of an AI
application that is at the forefront of the field.
- Cutting-edge work report: Write-up of an AI application that is at the
forefront of the field.
- Essays: About five summaries of seminal papers in the
field. One or two position essays.
| Component | Weight
|
|---|
| Projects | 65%
|
| Homework | 2%
|
| Cutting-edge work presentation | 10%
|
| Cutting-edge work report | 5%
|
| Essays | 15%
|
| Take-home final | 3%
|
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 late | 100% of score
| | 24 hours late | 85% of score
|
| 48 hours late | 50% of score
|
| > 48 hours late | 0% 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.
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. I may use plagiarism tools.
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).
Pandemic Policy
Below is my course policy for this pandemic.
- It is mandatory that you wear a well-fitting mask at all
times when in class. See the Rose-Ready
policy for details.
- If you would like to take a sip of water, please step out of the
classroom for a moment.
- If you feel unwell, for whatever reason, please be a hero and DO
NOT come to class.
- I will make it easy for you to work remotely, if you cannot make
it to class for whatever reason. We learned how to do this during this
past year.