ARTIFICIAL INTELLIGENCE ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
NMD3103 | Issues in New Media Practices | Spring | 2 | 2 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi TİRŞE ERBAYSAL FİLİBELİ |
Recommended Optional Program Components: | None |
Course Objectives: | This course is designed to introduce the students both the classical and contemporary arguments about construction of reality in traditional and new media and equip them with theoretical and practical means to challenge various ways of information disorder. |
The students who have succeeded in this course; - Will have an understanding about the critical perspectives on construction of reality in traditional media. - Will learn about opportunities and limits of social media tools. - Will learn about the recent discussions about concepts such as “information disorder” and “fake news”. - Will be able to critically analyse (new) media content. |
New media technologies are developing at a very high speed changing the news and entertainment consumption habits of people constantly. As media production and consumption converge in a new form of practice, a new actor, someone not only consuming the media products as a passive audience but also an active participant in the production process; “prosumer” has emerged. In this era, the conventional media companies promising to stick to basics of information sharing such as accuracy, privacy, accountability are now challenged by vast number of prosumers. However, “information disorder” is not only an end result of this vast network society and prosumers, but also it is facilitated by various interest groups ranging from governments to opposition movements. |
Week | Subject | Related Preparation |
1) | Overview of the course | |
2) | News, truth and post-truth | |
3) | Making news: Critical analysis | |
4) | Making news: Critical analysis | |
5) | Critical analysis of “the news” | |
6) | Critical analysis of social media | |
7) | Social media and politics | |
8) | Social media and politics | |
9) | Social media and politics | |
10) | Post-truth era | |
11) | Social media age | |
12) | Network society, prosumer and new media | |
13) | Project presentations | |
14) | Project presentations and review of the course |
Course Notes / Textbooks: | Herman, Edward S. and Noam Chomsky, 2002. Manufacturing consent : the political economy of the mass media, New York : Pantheon Books Keyes, R., 2019. Hakikat sonrası çağ : günümüz dünyasında yalancılık ve aldatma, İzmir: Delidolu |
References: |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 14 | % 10 |
Presentation | 1 | % 20 |
Project | 2 | % 20 |
Final | 1 | % 50 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 30 | |
PERCENTAGE OF FINAL WORK | % 70 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 4 | 56 |
Application | 14 | 2 | 28 |
Study Hours Out of Class | 14 | 3 | 42 |
Project | 1 | 20 | 20 |
Quizzes | 2 | 3 | 6 |
Midterms | 1 | 4 | 4 |
Final | 1 | 4 | 4 |
Total Workload | 160 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Have sufficient background in mathematics, science and artificial intelligence engineering. | |
2) | Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. | |
3) | Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. | |
4) | Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. | |
5) | Select and use modern techniques and tools necessary for engineering applications. | |
6) | Design and conduct experiments, collect data, and analyse and interpret results. | |
7) | Work effectively both as an individual and as a multi-disciplinary team member. | |
8) | Access information via conducting literature research, using databases and other resources | |
9) | Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. | |
10) | Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. | |
11) | Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. | |
12) | Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. | |
13) | Have a sense of professional and ethical responsibility. | |
14) | Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |