| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Social Networks | GIT326 | Elective | Bachelor's degree | 3 | Spring | 4 |
Name of Lecturer(s)
Associate Prof. Dr. Sevgi KAVUT
Learning Outcomes of the Course Unit
1) Learn the basic concepts and applications regarding new communication technologies and social network
2) Understand the effects of social media networks
3) Gaining ability of analyze the progress of media and communication with more than one theorical angles.
4) Understanding media thesis' of communication and informatics technologies.
5) Being ready of increasing demands of informatics.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | ||
| Learning Outcomes | ||||||||||||||
| 1 | Middle | No relation | No relation | High | Middle | No relation | No relation | No relation | No relation | Middle | Low | No relation | No relation | |
| 2 | Middle | No relation | No relation | High | Middle | No relation | No relation | No relation | No relation | Middle | Low | No relation | No relation | |
| 3 | Middle | No relation | No relation | High | Middle | No relation | No relation | No relation | No relation | Middle | Middle | No relation | No relation | |
| 4 | High | No relation | No relation | High | High | Low | No relation | No relation | No relation | Middle | Middle | No relation | No relation | |
| 5 | High | No relation | No relation | High | High | Low | No relation | No relation | No relation | Middle | High | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
This course involves topics Social Media, Social Media Features, Social Media and Perception Management, Social Media and Self, Social Media and Digital Identity, Social Networks, Big Data, Digital Labour, Participatory Culture, Surveillance Society and Digital Surveillance, Social Network Design, Social Network and Artificial Intelligence, Social Media Laws, Social Media and Ethic.
Weekly Schedule
1) Social Media, Features of Social Media2) Social Media and Perception Management
3) Social Media and Self
4) Social Media and Digital Identity
5) Social Networks and Big Data
6) Digital Labour
7) Participatory Culture
8) Mid-term Exam
9) Surveillance Society and Digital Surveillance
10) Social Network Design
11) Social Networks and Artificial Intelligence
12) Social Media Laws
13) Social Media and Ethic
14) General Review
15) Final Exam
16) Final Exam
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Self Study
6) Project Based Learning
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required