Course description for 2026/27
Post-Production Fundamentals
FTV1027
Course description for 2026/27
Post-Production Fundamentals
FTV1027
This course provides students with foundational technical skills in post-production, focusing on non-linear editing (NLE), color grading, and motion design
This course provides students with foundational technical skills in post-production, focusing on non-linear editing (NLE), color grading, and motion design. Students will learn to navigate industry-standard software, manage media workflows, apply color correction, grading techniques, and integrate motion design elements to enhance visual storytelling.
Only for students accepted at the Bachelor program Film and TV production,
After completing the course, the student must have obtained:
Skills:
- Can use NLE software to edit and organize footage efficiently
- Can apply color correction and grading techniques to enhance visual coherence and mood
- Can design and integrate motion graphics elements to support narrative and branding goals
Knowledge:
- Has broad knowledge of post-production workflows, including editing, color grading, and motion graphics integration
- Understands the technical principles behind image manipulation, & color theory
- Has insight into file formats, codecs, and media management strategies in professional environments
General Competence:
- Can work independently and systematically in post-production environments
- Can design and implement digital workflows
- Edit and finalize videos in a professional manner using digital non-linear editing techniques
In addition to the semester fee and curriculum literature, it is assumed that the student has a laptop computer at his/her disposal.
Mandatory
Theory-based lectures, practical exercises.
Evaluation using mid-term and final surveys. Students are also encouraged to participate in the central quality surveys.
Portfolio (MA) Individual (100/100)
- 1 Infomercial production
- 1 Post-Production Workflow Documentation
Graded: Pass / Fail
Generating responses using ChatGPT or similar generative artificial intelligence and submitting them wholly or partially as your own work is considered plagiarism.
None
