New Media and Communication (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

RTC034

Course Name:

Artificial Intelligence and Moving Images

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Prof. Dr. NEZİH ERDOĞAN

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:

By the end of this course, students will be able to:
1. Understand the basic concepts of AI and its applications in moving images.
2. Analyze the impact of AI on the production and consumption of moving images.
3. Create simple AI-driven animations or video projects.
4. Critically assess the ethical implications of AI in media

Course Content:

This course explores the intersection of artificial intelligence (AI) and moving images, examining how AI technologies are transforming the creation, analysis, and reception of film and video. Students will study the applications of AI in various aspects of filmmaking, including scriptwriting, editing, visual effects, and personalized content recommendations. The course will also investigate the ethical, cultural, and artistic implications of AI's growing role in the media industry.

Through a combination of lectures, case studies, and hands-on projects, students will learn about AI-driven tools and techniques used in contemporary filmmaking. Topics will include machine learning algorithms for video analysis, generative adversarial networks (GANs) for creating synthetic media, and the impact of AI on audience engagement and media distribution. By the end of the course, students will have a deep understanding of how AI is reshaping the landscape of moving images and the potential future developments in this rapidly evolving field.

Learning Outcomes

The students who have succeeded in this course;
1) Understanding AI Fundamentals: Students will demonstrate a clear understanding of the fundamental concepts of artificial intelligence, including deep learning, neural networks, and image recognition, and their applications in moving images.
2) Critical Analysis: Students will critically analyse the impact of AI on the production, distribution, and consumption of moving images, including film, animation, and interactive media.
3) Technical Proficiency: Students will gain proficiency in using AI-driven tools and software, such as TensorFlow, OpenCV, and Adobe After Effects, to create and manipulate moving images.
4) Creative Application: Students will apply AI techniques to develop original moving image projects, showcasing their ability to integrate AI with traditional media production processes.
5) Ethical Awareness: Students will evaluate the ethical implications of AI in media, including issues related to deepfakes, misinformation, and the future of human creativity in the age of AI.
6) Future-Oriented Thinking: Students will predict and articulate potential future trends in AI and moving images, preparing them to engage with emerging technologies in the media industry.

Course Flow Plan

Week	Subject	Related Preparation
1)	Week 1: Introduction to AI and Moving Images • Course overview and objectives • Introduction to AI: history, definitions, and basic concepts • Overview of moving images: film, animation, and digital media	-
2)	Week 2: AI in Film and Animation Production • AI tools for scriptwriting and storyboarding • AI-driven animation techniques • Guest lecture: AI in the film industry	-
3)	Image Recognition and Analysis • Basics of image recognition and computer vision • Applications in film editing and post-production • Hands-on workshop: Using OpenCV for image analysis	-
4)	Week 4: Deep Learning and Neural Networks • Introduction to deep learning and neural networks • Case studies: AI in special effects and CGI	-
5)	Week 5: Generative Adversarial Networks (GANs) • Understanding GANs and their applications in media • Creating realistic images and videos with GANs • Lab: Experimenting with GANs using TensorFlow	-
6)	Week 6: AI and Interactive Media • AI in video games and interactive storytelling • Virtual reality and augmented reality applications • Workshop: Developing an interactive AI-driven media project	-
7)	Week 7: Midterm Project Presentations • Presentation of midterm projects • Peer review and feedback • Discussion on project improvements	-
8)	Week 8: AI in Visual Effects (VFX) • Techniques for AI-enhanced VFX • Case studies: AI in blockbuster movies • Lab: Applying AI techniques to VFX in After Effects	-
9)	Week 9: Ethical Considerations of AI in Media • Ethical implications of AI in media production and consumption • Deepfakes and the issue of misinformation • Discussion: Balancing innovation and ethics	-
10)	Round Table Discussion: Cinema after Artificial Intelligence	-
11)	Week 11: AI in Documentary Filmmaking • AI applications in documentary research and editing • Case studies: AI in recent documentaries • Guest lecture: AI and the future of documentary filmmaking	-
12)	Week 12: The Future of AI in Moving Images • Emerging trends and technologies • Predictions for the future of AI and media • Group discussion: The next big thing in AI and moving images	-
13)	Week 13: Final Project Development • Individual consultations on final projects • Work-in-progress presentations • Feedback and troubleshooting	-
14)	Week 14: Final Project Presentations • Presentation of final projects • Peer review and feedback • Course wrap-up and reflections	-

Sources

Course Notes / Textbooks:

• Danesi, M. (2024). AI-Generated Cinema. In: AI-Generated Popular Culture. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-54752-2_3Selected readings and articles (provided by the instructor)
• Adjovski, Benjamin (2023). Machine Movie ‘The Frost’ and the Role of AI in the Film Industry. TechAcute, https://techacute.com/machine-movie-the-frost-and-the-role-of-ai-in-the-film-industry/.
• Bakhtin, Mikhail M. (1981). The Dialogic Imagination. Austin: University of Texas Press.
• Baloyan, Sergey (2023). The Rise of AI Generated Films: Lights, Camera, Algorithm. Hackernoon, https://hackernoon.com/the-rise-of-ai-generated-films-lights-camera-algorithm/.
• Bellier, Ludovic, Llorens, Annaïs, Marciano, Déborah, Gunduz, Aysegul, Shalk, Gerwin, Brunner, Peter, and Knight, Robert T. (2023). Music Can Be Reconstructed from Human Auditory Cortex Activity Using Nonlinear Decoding Models. Plos Biology, https://doi.org/10.1371/journal.pbio.3002176.
• Brannan, Alex (2016). An In-Depth Analysis of Sunspring (2016), the Short Film Written by a Computer. CineFiles, https://www.cinefilesreviews.com/2016/06/12/an-in-depth-analysis-of-sunspring-2016-the-short-film-written-by-a-computer/.
• Hasson, Uri, Landesman, Ohad, Knappmeyer, Barbara, Vallines, Ignacio, Rubin, Nava, and Heeger, David J. (2008). Neurocinematics: The Neuroscience of Film. Projections: Journal for Movies and Mind 2: 1–26.
• Song, Junrong, et all. “From Expanded Cinema to Extended Reality: How AI Can Expand and Extend Cinematic Experiences” https://dl.acm.org/doi/10.1145/3615522.3615556, 20 October 2023
• Heaven, Will Douglas (2023). Welcome to the New Surreal. How AI-Generated Video is Changing Film. MIT Technology Review, https://www.technologyreview.com/2023/06/01/1073858/surreal-ai-generative-video-changing-film/.
• Jennings, Rebecca (2023). AI Art Freaks Me Out. Vox, https://www.vox.com/culture/23678708/ai-art-balenciaga-harry-potter-midjourney-eleven-labs.
• John, Camila (2023). Theory of Mind AI: The Next Frontier in Artificial Intelligence. Medium, https://medium.com/bestai/theory-of-mind-ai-the-next-frontier-in-artificial-intelligence-92cb1963ab5d.
• Kan, Michael (2022). The Footage in This Sci-Fi Movie Project Comes From AI-Generated Images. PC Mag, https://www.pcmag.com/news/the-footage-in-this-sci-fi-movie-project-comes-from-ai-generated-images.
• Laman, Lisa (2023). AI-Generated Movies & TV Will Never Replace the Real Thing. Collider, https://collider.com/ai-generated-movies-tv-wont-replace-real-thing/.
• Lanier, Jaron (2023). There Is No AI. The New Yorker, https://www.newyorker.com/science/annals-of-artificial-intelligence/there-is-no-ai.
• McLuhan, Marshall (1964). Understanding Media: The Extensions of Man. New York: McGraw Hill.
• Moghadasi, Abdorezza Nasser (2015). Neurocinema: A Brief Overview. Iranian Journal of Neurology 14: 180–184.
• Newitz, Annalee (2021). Movie Written by Algorithm Turns Out to Be Hilarious and Intense. Ars Technica, https://arstechnica.com/gaming/2021/05/an-ai-wrote-this-movie-and-its-strangely-moving/.
• Pandey, Kamya (2023). First Film Ever Written and Directed by AI: The Safe Zone. Jumpstart Magazine, https://www.jumpstartmag.com/first-film-ever-written-and-directed-by-ai-the-safe-zone/.
• Toonkel, Jessica and Krouse, Sarah (2023). Who Owns SpongeBob? AI Shakes Hollywood’s Creative Foundation. The Wall Street Journal, https://www.wsj.com/articles/ai-chatgpt-hollywood-intellectual-property-spongebob-81fd5d15.

References:

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5	6
Program Outcomes
1) Identify and describe the foundations and characteristics of both traditional and new media.
2) Critically engage in and apply media studies scholarship.
3) Develop new/digital media literacy competencies and critically analyze new/digital media contents.
4) Develop technical skills in both traditional and digital media production.
5) Produce media contents which are sensitive to and respect cultural diversity.
6) Demonstrate creative writing skills in various writing genres, including both writing for and about the media.
7) Develop computer skills and use software applications related to new/digital media design and production.
8) Work effectively as an individual and a part of a team, acting responsibly and respectfully to complete various types of creative projects.
9) Demonstrate skills in mentorship, leadership, management, and entrepreneurship in the media sector.
10) Develop a “signature work” and engage in local and/or international media sectors and non-profit organizations.
11) Acquire foreign language skills to effectively communicate and work in international and cross-cultural settings.
12) Acquire interpersonal skills and effectively communicate in professional settings.
13) Identify the structures, trends, technological developments and issues related to new media and carry out artistic and creative activities and projects that correspond to social needs.
14) Conduct media practice within national and international legal frameworks.
15) Become responsible media practitioners by adhering to media ethics and principles of democracy and human rights.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Identify and describe the foundations and characteristics of both traditional and new media.
2)	Critically engage in and apply media studies scholarship.
3)	Develop new/digital media literacy competencies and critically analyze new/digital media contents.
4)	Develop technical skills in both traditional and digital media production.
5)	Produce media contents which are sensitive to and respect cultural diversity.
6)	Demonstrate creative writing skills in various writing genres, including both writing for and about the media.
7)	Develop computer skills and use software applications related to new/digital media design and production.
8)	Work effectively as an individual and a part of a team, acting responsibly and respectfully to complete various types of creative projects.
9)	Demonstrate skills in mentorship, leadership, management, and entrepreneurship in the media sector.
10)	Develop a “signature work” and engage in local and/or international media sectors and non-profit organizations.
11)	Acquire foreign language skills to effectively communicate and work in international and cross-cultural settings.
12)	Acquire interpersonal skills and effectively communicate in professional settings.
13)	Identify the structures, trends, technological developments and issues related to new media and carry out artistic and creative activities and projects that correspond to social needs.
14)	Conduct media practice within national and international legal frameworks.
15)	Become responsible media practitioners by adhering to media ethics and principles of democracy and human rights.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	15	% 30
Midterms	15	% 30
Final	25	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	14	1	3		56
Laboratory	3	0	9		27
Application	3	1	1		6
Presentations / Seminar	3	3			9
Homework Assignments	10	20	10	5	350
Midterms	6	10	5	3	108
Final	12	20	10	5	420
Total Workload					976