Honors Courses and Seminars

Fall 2024 Honors Courses

Course #

Title

Faculty

Days

Times

Modality

CSC-239-04H

Java Programming

Miller

T/Th

11 a.m. - 12:40 p.m.

Hybrid: In person + Remote

ECO-201-201H

Macroeconomics

Chow

M/W

1 – 2:15 p.m.

In person

ECO-202-02H

Microeconomics

Chow

M/W

2:30 – 3:45 p.m.

In person

GEO-101-WB1H

World Regional Geography

Robinson

-

-

Web

MAT-181-WBH

Statistics I

Sarmiento

-

-

Web

PSY-101-WB1H

Principles of Psychology

Mullin

-

-

Web

SOC-101-WB4H

Principles of Sociology

Maynard

-

-

Web

SCI-221-01H Interpretation of Science Research Atkinson W 2:30 - 5:15 p.m. In person

Fall 2024 Honors Seminars

Course #

Title

Faculty

Day

Time

Modality

HON-200-200H

Honors Seminar: “Future Worlds”

Robinson & Miller

T

6 - 7:15 p.m.

Hybrid Remote + web

HON-200-01H

Honors Seminar: “Artificial Intelligence”

Soro & Kasili

T

10- 11:15 a.m.

Hybrid: Remote + Web

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?

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.