Department of Computer Science | Institute of Theoretical Computer Science | CADMO
Prof. Emo Welzl and Prof. Bernd Gärtner
Lecturers: |
Bernd Gärtner (CAB G31.1) Niao He David Steurer (CAB H37.1) |
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Assistants: |
Rares Buhai (CAB H37.1) Jingqiu Ding (CAB H37.1) Tommaso D'Orsi (CAB H37.2) Yuan Gao Saeed Ilchi (CAB G32.1) Chih-Hung Liu (CAB H19.3) Federico Soldà (CAB H31.2) Stefan Tiegel (CAB J21.3), contact assistant Yuhao Yao |
Lectures: |
Mon 13-14 (online), Tue 10-12 (online). |
Credit Points: | 10CP (261-5110-00L, 3V + 2U + 4A) |
Language: | English |
Contents: |
This course provides an in-depth theoretical treatment of optimization methods that are particularly relevant in machine learning and data science.
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Moodle: | All materials in the course are published through the moodle page of the course. |
Literature: |
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Prerequisites: | As background, we require material taught in the course "252-0209-00L Algorithms, Probability, and Computing". It is not necessary that participants have actually taken the course, but they should be prepared to catch up if necessary. |
Grading: | There will be a written exam in the examination session. Furthermore, there will be two mandatory written special assignments during the semester. The final grade of the whole course will be calculated as a weighted average of the grades for the exam (80%) and the special assignments (20%). |
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Special Assignments: | At two times in the course of the semester, we will hand out specially marked exercises or term projects — the written part of the solutions are expected to be typeset in LaTeX or similar. Solutions will be graded, and the grades will account for 20% of the final grade. Assignments can be discussed with colleagues, but we expect an independent writeup. |
Exam: |
Date to be determined. The exam lasts 180 minutes, it is written and closed-book. No written material permitted! |
The exercises are discussed in classes. Students are expected to try to solve the problems beforehand. Your assistant is happy to look at your solutions and correct/comment them. We assign students to classes according to surnames. Attendance according to these assignments is not compulsory but encouraged. The details of the classes are as follows.
Group | Time | Room | Students with Surnames (Last Names) | Assistant |
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A | Tue 14-16 | online | M - Z | First half: Federico Soldà Second half: Yuan Gao |
B | Tue 16-18 | online | A - L | First half: Rares Buhai Second half: Yuhao Yao |