Course Content (Syllabus)
Cinema tells stories. At times, film producers select, develop, alter, or even co-shape these stories and the ways they are narrated. Among other things, the producer is a competent reader of screenplays and their constituent elements. Within this framework, the course teaches the basic principles of dramaturgical analysis: the elements that make up a story, how these elements are organized to narrate the plot, and the producer’s contribution to the development, improvement, or rewriting of the story.
The course shifts its focus from the traditional evaluation of completed scripts (script coverage) to the dynamic process of script development. Recognizing the growing influence of Artificial Intelligence (AI) in the creative industries, students are asked not only to evaluate but to engage critically and creatively in dialogue with AI tools in order to solve specific dramaturgical problems.
In this way, students develop approaches to the evaluation and analysis of a film script, while films are studied in terms of structure, style, form, narration, and characters. At the same time, skills in critical thinking, creative problem-solving, and “prompt engineering” within dramaturgy are cultivated. Finally, a methodology is proposed for coding and documenting these processes from the perspective of film production, upgrading the traditional practice of script coverage to a more contemporary, interactive approach to script development.
Artificial Intelligence Usage Policy
Within the context of this course, the use of generative AI tools (such as ChatGPT, etc.) is not only permitted but actively encouraged as part of the learning process. The modern film industry already integrates these tools, and our goal is to prepare you to become critical and informed users of them.
However, assessment will not be based on your ability to produce automated texts, but on your critical engagement with these tools. Your ability to analyze, evaluate, edit, and enhance AI-generated material will form the core of the evaluation. Academic integrity lies in the original critical thought you contribute to the process and in the proper documentation of your input. Submitting AI-generated material as-is, without critical analysis and commentary, will be considered an academic offense.
Keywords
dramatic analysis, development notes, script coverage, script analysis, script diagram, development notes, AI