Course Description
Seminar in applying communication theory and research to current topics. Notes: May be repeated for credit an unlimited number of times when topics vary.
Syllabus
Student Learning Outcomes, Goals, Objectives:
Students successfully completing this course will be able to:
- Explain the historical, social, and technological developments that shaped the evolution of the Internet from decentralized networks to platforms, algorithmic systems, and AI.
- Apply communication theories and concepts to examine how digital technologies, platforms, algorithms, and AI mediate human communication across interpersonal, educational, organizational, and public contexts.
- Analyze how technological affordances, platform governance, algorithms, and participatory practices shape visibility, relationships, privacy, representation, and power in digital cultures.
- Evaluate the ethical and societal implications of emerging digital and AI technologies, including synthetic media, machine agency, human–AI relationships, surveillance, privacy, and the use of AI in teaching and learning.
Course Grading Information:
| Activity/Performance Measure | Percentage/Points |
|---|---|
| Participation | 10% (100 points) |
| Canvas Posts | 20% (200 points) |
| Class Facilitation | 30% (300 points) |
| Research Project | 40% (400 points) |
Attendance/Participation:
Attendance and class participation constitute 10% of the final grade.
Course Materials Purchased by the Students:
No course materials are required.
Scholarly Perspectives
This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.