Fall 2026 Honors Elective Courses
|
Course |
Faculty |
Day/Time |
Modality |
|
COM-171-01H |
Denney |
M/W 2.30 - 3.45 |
In person |
|
CSC-239-01H C++ Programming |
Owens |
T/Th 11.00 - 12.40 |
In Person |
|
GEO-101-WB1H World Regional Geography |
TBA |
- |
Web-based |
|
LIT-227-01H African American Literature |
Clark |
W 10-11.15 |
Hybrid: In person + web |
|
MAT-181-03H Statistics
|
Sarmiento |
T (remote)/TH (in-person) 11.30 - 12.45 |
Hybrid: Remote + In person |
|
PSC-220-01H |
Robinson |
M 1-2.15 |
Hybrid: In person + Web |
|
PSY-101-WB1H Principles of Psychology |
Mullin |
- |
Web-based |
|
PSY-235-01H |
Gagne |
W 1 – 2.15 |
Hybrid: In person + Web |
|
SCI-221-01H Interpretation of Scientific Research |
Atkinson |
W 2.30 - 5.15 |
In Person |
|
SOC-101-WB4H Principles of Sociology |
Maynard |
- |
Web-based |
Fall 2026 Honors Seminar Courses
|
HON-200-01H Honors Seminar: Artificial Intelligence |
Kasili & Soro |
T 10-11.15 |
Hybrid: Remote + Web |
|
HON-200-200H Honors Seminar: Future Worlds |
Robinson & Miller |
M 6-7.15 |
Hybrid: Remote + Web |
Fall 2026 Honors Seminar Descriptions
Future Worlds
This seminar looks at science based Utopian/Dystopian visions of the future and focuses on politics and technology. Topics will range from Afrofuturism to Cybernetics to Star Trek. What does the future hold for our species? What will society look like in the next millennium? Does our future lie beyond this galaxy?
M 6 - 7.15 p.m.
Prof. André Robinson and Prof. Elizabeth Miller
Artificial Intelligence
What are the techniques that enable computers to behave intelligently? What are some of the opportunities, challenges, and problems introduced by the emergence and growth of artificial intelligence? Artificial intelligence (AI) addresses questions at the intersection of many fields, including computer science, economics, bioinformatics, medicine, linguistics, philosophy, and psychology. It is a part of our everyday lives: googling some keywords, speaking into your phone to compose a text, using Facebook's facial recognition to tag people in a photo, playing chess against a computer, and using Google Translate to read a sign that is not in your language--these are all examples of AI in action. There are difficult ethical issues that emerge in relation to AI, such as the ways implicit biases are built into algorithms used to predict crime, the impact of robots on labor in the global economy, and the debate over whether intelligent computers deserve human rights.
T 10 - 11.15 a.m.
Prof. Paul Kasili and Prof. Omar Sorno