Overview
Why should I take this Micro-credential?
- Companies like Netflix, Apple, Amazon are both content creators, and streaming media platforms, and this fuels the demand for engineers in both domains. The pandemic has amplified the importance of both movie making technology and streaming media platforms.
- As the areas of filmmaking and media streaming converge, engineers in post-production houses need to understand more about the latest compression standards and engineers in streaming media teams need to understand more about what high quality image manipulation entails.
- This Motion Picture Engineering - Micro-credential course at Trinity College Dublin suits engineers in a start up in the video streaming space or designing image enhancement technology as well as those embarking on a graduate degree in Video Engineering. If you have just joined a post-production house or start up as an early stage graduate this course is an excellent onboarding strategy.
How will this Micro-credential be delivered?
- The micro-credential is built around 5 contact hours per week. There is a fixed 3-hour block for practical work and 1-hour blocks for lecture material every week.
- In the first two weeks the 3-hour blocks will be used for an introduction to the NUKE cinema compositor and its programming environment.
- Thereafter you will be led through several short exercises in plugin development and compression usage. These blocks will be mostly self-directed with advice from the module coordinator in the first hour of each block.
Programme Structure
What will I learn?
- You will learn about engineering design in both high-end postproduction and best in class streaming media workflows.
- The first part of this micro-credential gives you both the mathematical underpinnings of algorithms for rotoscoping, matting and motion estimation and the practice of developing your own tool in a high-end platform.
- In the second part, you will learn about the fundamentals of video compression technology and how that is applied to content aware transcoding. Through all of this you will learn the mathematical fundamentals of the new Deep Learning algorithms which are disrupting both these domains.
- Finally, the course is interspersed with domain insights from practitioners in industry e.g., Google, YouTube, BBC, Facebook, Foundry, Weta, and others.
Key information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Credits
10 ECTS
Delivered
Online
Disciplines
Film, Photography & Media General Engineering & TechnologyAcademic requirements
Upper Second Class
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Graduate engineering knowledge in DSP/Signals and Systems or equivalent experience.
- Level 8 award. 2.1 grade Engineering or Cognate Discipline.
- CV & transcript.
Tuition Fee
To always see correct tuition fees
-
International
2040 EUR/fullTuition FeeBased on the tuition of 2040 EUR for the full programme during 3 months. -
EU/EEA
2040 EUR/fullTuition FeeBased on the tuition of 2040 EUR for the full programme during 3 months.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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