COMMUNICATION DATA AND TECHNOLOGY (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: LO1 – Identify the role of data, communication, and technology in society; LO2 – Explain the main concept of data, communication, and technology in society; LO3 – Demonstrate data analysis, interpretation, and visualization in a communication context; LO4 – 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.