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54858-01 - Seminar: 101 Things I Learned in Computer Science 4 CP

Semester spring semester 2019
Course frequency Irregular
Lecturers Marcel Lüthi (marcel.luethi@unibas.ch)
Christian Tschudin (christian.tschudin@unibas.ch, Assessor)
Content From "how to count to 2 (that is, 10)" to "O(2^n)", "Bayes' rule", "divide and conquere", "support vector machine" and "LaTeX", this seminar will collect, describe, test-read and illustrate core concept of Computer Science studies in a concise way. The seminar is offered for Computer Science students close to their MSc thesis and is suitable for both the Distributed Systems and the Machine Intelligence specialization, as well as PhD students. Due to the content of the seminar, having a BSc or MSc in Computer Science is a strict requirement. This seminar is inspired by the compelling book series of MIT press which started with "101 Things I Learned in Architecture School".
Learning objectives The goal is to reflect on our "deformation professionelle" and to reveal these thought structures to people outside of the field of Computer Science. As a side product, a booklet-like collection of high-quality illustrated articles will be produced.
Bibliography "101 Things I Learned in XYZ", MIT press, e.g.
https://mitpress.mit.edu/books/101-things-i-learned-architecture-school

 

Admission requirements Open to Master and PhD students with a BSc or MSc in Computer Science.
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room

No dates available. Please contact the lecturer.

Modules Doctorate Computer Science: Recommendations (PhD subject: Computer Science)
Module: Applications of Distributed Systems (Master's Studies: Computer Science)
Module: Applications of Machine Intelligence (Master's Studies: Computer Science)
Assessment format continuous assessment
Assessment details Achieving a passing grade requires
- weekly seminar attendance and active participation
- writing, illustrating, testing and revising at least three articles
- two out of three articles must obtain a pass
- contributing to the final typesetting of the collection.
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination no repeat examination
Scale 1-6 0,5
Repeated registration as often as necessary
Responsible faculty Faculty of Science, studiendekanat-philnat@unibas.ch
Offered by Fachbereich Informatik

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