COMMUNICATION DATA AND TECHNOLOGY (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to:

1. Identify the role of data, communication, and technology in society.
2. Explain the main concept of data, communication, and technology in society.
3. Demonstrate data analysis, interpretation, and visualization in a communication context.
4. Use the appropriate communication technology to deliver the messages based on their purpose, context, and target audience.

Topics :

1. CMC, Diffusion, & Social Theories (Part 1)
2. Data Story 7: Dating Apps
3. Data Story 2: Remote Sensing for Conversation Research
4. CMC, Diffusion, & Social Theories (Part 2)
5. Data Story 1: Big Data on Consumer Habits
6. New & Mobile Media Technologies, Innovation, & Investment
7. Data Creation: Big Data in Context
8. Data Circulation: Putting Data to Work (Part 2)
9. Data Visualisations: Forms, Tools, and Interfaces (Part 2)
10. Data Story 4: Tracking Tubercolosis using Phone Data
11. Data Value, Innovation and Responsibility: Data Justice and Ethics
12. Data Story 6: The Journeys of Health-Related Data
13. Social Media Ethics
14. Data Story 5: Uber Drivers
15. Data Story 9: Emergency Data Science for Covid-19 Contact Tracing Apps
16. Data Story 3: Geolocation
17. Data in Society
18. Data Story 8: Data for Sustainable Development Goals
19. Data Visualisations: Forms, Tools, and Interfaces (Part 1)
20. Data Creation: Evidence and Knowledge
21. Data Value, Innovation and Responsibility: Responsible Use of Data as Evidence
22. Data Circulation: Putting Data to Work (Part 1)
23. Data Circulation: Governance of Data Journeys
24. Data Circulation: New Data Skills
25. Data Value, Innovation and Responsibility: Data as a source of value
26. Data Creation: Characteristics of Data