Lab Course: Basics & Lab
Course
- Lecturer(s):
- Dates: Th. 14:00 - 16:00 / VR-Lab (I.80 LBH)
- Course number: MA-INF 2308 - Track Computer Graphics
- Curriculum: Master , B-IT Master Media Informatics
- Diploma Area: B
Description
For starting master students not yet confident in their programming/practical skills we have a slightly different Lab Course. Here the initial focus is on learning C to a reasonable level by implementing numerical and computer graphics related algorithms. There are weekly exercises concluded with a programming project in the teaching free time. Further information can be found in the slides. Practical programming is required in all Computer Graphic lectures and the normal lab courses. Thus for students lacking practical programming skills this lab course is a great chance. However, if you are confident in your practical skills, then we advise you to take a normal lab course as more knowledge about Computer Graphics is gained.
New introductory meeting
Because there were very few students at our first meeting there will be another introductory meeting next week at
New introductory meeting: 5th Oct / 16:15-17:00 / VR-Lab I.80 LBH
If you are interested in participating the lab, please attend this second meeting.
First meeting
To participate:
- Attend second meeting: 5th Nov / 16:15-17:00 / VR-Lab I.80 LBH
- If you can not attend the second meeting, please write us and join the mailing list.
- Attend exercises and hand in solutions (Times to be decided in frist meeting)
- Inscribe yourself to the mailinglist at
https://lists.iai.uni-bonn.de/mailman/listinfo.cgi/lab-graphics. - Inscribe yourself in BASIS (only students of University Bonn/not BIT)
Documents
- DL2016 CourseInfo (PDF document, 53 KB)
- DL2016 ProjectGPUs (PDF document, 102 KB)
- DL2016 ProjectInfo (PDF document, 1.8 MB)
- Lec14 caption (PDF document, 28 MB)
- Lec14 depth (PDF document, 4.1 MB)
- Lec14 objdet (PDF document, 2.5 MB)
Assignment Sheets
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Exercise 1: MLbasics Assignment sheet (PDF document, 157 KB)
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Exercise 2: Theano Assignment sheet (plain text document, 30 Bytes)
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Exercise 3: NNintro Assignment sheet (PDF document, 109 KB)
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Exercise 4: Optimization Assignment sheet (PDF document, 139 KB)
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Exercise 5: CNNs Assignment sheet (PDF document, 116 KB)
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Exercise 6: RNNs Assignment sheet (PDF document, 217 KB)
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Exercise 7: Autoencoders Assignment sheet (PDF document, 144 KB)
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