Department of Computer Science | Institute of Theoretical Computer Science | CADMO
Prof. Emo Welzl and Prof. Bernd Gärtner
Lecturers: |
Bernd Gärtner (CAB G 31.1), Rasmus Kyng (CAB H 33.1), Angelika Steger (CAB G 37.2), David Steurer (CAB H 36.2), Emo Welzl (CAB G 39.2) |
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Assistants: |
Ming Ding (CAB H 31.2), Nicolas El Maalouly (CAB G 19.2), Yiding Hua, Leonardo Lazar, Simon Meierhans (CAB H 37.2), Linfei Pan (CNB G 100.9), Julian Portmann (CAB G 31.2), Federico Soldà (CAB H 31.2), Simon Weber (CAB G 39.3), contact assistant |
Moodle: | We use Moodle in this course. Please check the Moodle page regularly. |
Lectures: |
Mon 14-16, ML D 28, Tue 14-16, ML D 28 |
Exercise: |
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Credit Points: | 8CP for Informatik Bachelor and Mathematik Bachelor (252-0209-00L, 4V + 2U + 1A) |
Language: | English |
Contents: |
Advanced design and analysis methods for algorithms and data structures.
Preliminary list of topics:
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Literature: |
The Lecture Notes The following textbooks do not cover all topics of the course (neither is every topic treated in these textbooks a topic of the course).
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Prerequisites: | Familiarity with basic notions of probability theory, cf. the course Algorithmen und Wahrscheinlichkeit. In particular, you should have a good understanding of the notions mentioned in the help sheet for the exam of that course. See also Basics of Probabilistic Analysis for the APC-Lecture and an interactive version of it. |
There will be an optional written midterm exam and a written final exam. Script or any other supplementary material for either exam is not permitted. Furthermore, we will hand out two special assignments (compulsory continuous performance assessment) whose solution (typeset in LaTeX) is due two weeks later and will be graded.
The final grade is 20% midterm exam + 20% special assignments + 60% final exam
OR if the result of the midterm exam does not improve the final grade or has not been sitted: 20% special assignments + 80% final exam.Special Assignment 1: | Oct 18 - Nov 1. |
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Midterm Exam: | No written material will be permitted. You may find previous midterms here: 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021. |
Special Assignment 2: | Nov 22 - Dec 6. |
Final exam: | No written material will be permitted. You may find previous finals here: 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021. |
Absence. If there are compelling reasons why you cannot hand in a special assignment on the due date foreseen, please contact us post-haste and we can look for a solution. Note, however, that we will grant requests of this type only in very exceptional cases (doctor's note, military service, funeral, etc.). Private events (vacation, sports, career fairs, etc.) are never sufficient grounds. As far as special assignments are concerned, you can hand them in to the contact assistant by email at any time before the due date, so there is no need to be present in person. As regards the final exam, ETH regulations apply.
Exchange students. Exchange students enrolled for APC in fall might want to return to their home university prior to the date of the final exam. If this applies to you and you nonetheless wish to be evaluated and given credits for APC, then please take a look at the following website for current regulations.
Regular exercises are made available online on a weekly basis. Students are expected to (try and) solve the problems and attend the exercise classes. Your assistant is happy to look at your solutions and correct/comment them. All exercises and their solutions are part of the material relevant for the two exams.
In the table below you can find the lecture dates and the preliminary topics. The exercises and their solutions will be published here.
Calendar Week | Date | Topic | Exercises and SPAs (by due date) |
Solutions |
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38 | Mon 19.9.22 |
No class. As a preparation to this week's exercises, please read Basics of Probabilistic Analysis or go through this interactive version of it. | ex-KW38.pdf (only in-class exercises, no hand-in date) | solution-KW38.pdf |
Tue 20.9.22 |
Bootstrapping Techniques: MST (1.1) | |||
39 | Mon 26.9.22 |
Bootstrapping Techniques: 1.1, MinCut (1.2) | ex-KW39.pdf | solution-KW39.pdf |
Tue 27.9.22 |
Finalized 1.2, (Random) Search Trees (2.1, 2.2) | |||
40 | Mon 3.10.22 |
Random Search Trees (2.3-2.6) | ex-KW40.pdf | solution-KW40.pdf |
Tue 4.10.22 |
Random Search Trees (2.7) | |||
41 | Mon 10.10.22 |
Point Location (3.1, 3.2) | ex-KW41.pdf | solution-KW41.pdf |
Tue 11.10.22 |
Point Location (3.2 continued) | |||
42 | Mon 17.10.22 |
Point Location (3.3, 3.4) | ex-KW42.pdf | solution-KW42.pdf |
Tue 18.10.22 |
3.4 continued, Linear Programming (4.1, 4.2) | |||
43 | Mon 24.10.22 |
Linear Programming (4.2 cont'd, 4.3) | ex-KW43.pdf (in-class) | solution-KW43.pdf |
Tue 25.10.22 |
Linear Programming (4.3 cont'd, 4.4, 4.5) | |||
44 | Mon 31.10.22 |
Linear Programming (4.5 cont'd, 4.6) | Special Assignment 1 | Solution (draft) |
Tue 1.11.22 |
Linear Programming (4.6 cont'd) | |||
45 | Mon 7.11.22 |
Linear Programming (4.7) | ex-KW45.pdf (in-class) | solution-KW45.pdf |
Tue 8.11.22 |
Linear Programming (4.8-4.10) | |||
46 | Mon 14.11.22 |
Midterm | ex-KW46.pdf | solution-KW46.pdf |
Tue 15.11.22 |
Randomized Algebraic Algorithms (5.1, 5.2) | |||
47 | Mon 21.11.22 |
Randomized Algebraic Algorithms (5.3, 5.4) | ex-KW47.pdf | solution-KW47.pdf |
Tue 22.11.22 |
Randomized Algebraic Algorithms (5.4, 5.6) | |||
48 | Mon 28.11.22 |
Randomized Algebraic Algorithms (5.6) | ex-KW48.pdf (in-class) | solution-KW48.pdf |
Tue 29.11.22 |
Parallel Algorithms (6.1,6.2) | |||
49 | Mon 5.12.22 |
Parallel Algorithms (6.2,6.3) | Special Assignment 2 (added clarifications in ex. 2 and 4 on Dec. 2nd) |
Solution (draft) |
Tue 6.12.22 |
Parallel Algorithms (6.3,6.4) | |||
50 | Mon 12.12.22 |
Parallel Algorithms (6.4) | ex-KW50.pdf | solution-KW50.pdf |
Tue 13.12.22 |
Parallel Algorithms | |||
51 | Mon 19.12.22 |
Parallel Algorithms | ex-KW51.pdf | solution-KW51.pdf |
Tue 20.12.22 |
Parallel Algorithms |