NEW COMMUNICATION TECHNOLOGIES

Course Description

Focusing primarily on the internet and digital cultures, this course will explore the theoretical and practical debates that have developed around the concept of ‘new media’. Topics to be studied include interactivity, social networking, media convergence, cyberculture and the emergence of ‘web 2.0’. Are these developments anticipated by pre-existing studies of communication practice, or are new theoretical models required to understand them?

NEW COMMUNICATION TECHNOLOGIES

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 1. Acquire a systematic knowledge of the historical development of new media and related technologies
2. 02 2. Develop an understanding of the major theoretical approaches to the study of new media
3. 03 3. Demonstrate critical and interpretative skills in the analysis of academic literature.
4. 04 4. Demonstrate the ability to communicate critical ideas in writing and in class discussion
5. 05 5. Carry out independent and original research based on appropriate research questions, using and evaluating a range of material in order to arrive at conclusions

Course Syllabus

Reference Books & Course Materials

1. 01 Course reader (PDF documents on Moodle)
2. 02 Lister, M. and Dovey, J. (2009). New Media: A Critical Introduction. London: Routledge.
3. 03 Glen Creeber and Royston Martin (eds), Digital Culture: Understanding New Media (London: Open University Press, 2008).

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

1. Demonstrate advanced knowledge of core concepts and theoretical frameworks in Management Information Systems, and apply them to develop innovative models that reflect current advancements in the field.
2. Analyze complex organizational problems and design integrated information systems solutions by applying advanced MIS knowledge and synthesizing multiple theoretical perspectives.
3. Develop and manage database systems and data-driven applications that ensure effective storage, retrieval, and use of organizational data in real-world contexts.
4. Utilize data analytics, business intelligence tools, and data visualization techniques to extract actionable insights and support strategic, data-driven decision-making.
5. Evaluate and apply emerging technologies such as AI, IoT, and Blockchain to drive digital transformation, enhance organizational performance, and formulate original research inquiries.
6. Conduct independent and collaborative research using appropriate methodologies, and communicate findings effectively through scholarly writing and presentations suited to diverse audiences.
7. dentify and address ethical, legal, and societal implications in the research, development, and use of information technologies, adhering to scientific and professional standards.
8. Collaborate effectively in multidisciplinary teams and demonstrate leadership in addressing complex technology-driven challenges.
9. Apply project management methodologies and tools to plan, execute, and monitor IT projects within organizational settings.
10. Develop and integrate information systems that align with organizational goals and strategies, supporting innovation and sustainable growth.
11. Perform comprehensive systems analysis and design, including requirements gathering, modeling, prototyping, and evaluating enterprise system architectures such as ERP, CRM, and SCM.
12. Assess and mitigate organizational information security risks by applying appropriate principles, technologies, and best practices in cybersecurity.

Po-Lo Matrix

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