186.814 Algorithmics
Diese Lehrveranstaltung ist in allen zugeordneten Curricula Teil der STEOP.
Diese Lehrveranstaltung ist in mindestens einem zugeordneten Curriculum Teil der STEOP.

2021W, VU, 4.0h, 6.0EC
Lecture Tube

Merkmale

  • Semesterwochenstunden: 4.0
  • ECTS: 6.0
  • Typ: VU Vorlesung mit Übung
  • LectureTube Lehrveranstaltung
  • Format der Abhaltung: Distance Learning

Lernergebnisse

Nach positiver Absolvierung der Lehrveranstaltung sind Studierende in der Lage...

After successful completion of the course, students are able to use advanced techniques to design efficient algorithms for the solution of computational problems. Furthermore, the students can justify the correctness of their algorithmic solutions and can determine their efficiency by theoretical methods.

Inhalt der Lehrveranstaltung

This module covers advanced algorithms and data structures and algorithm analysis. It has an emphasis on (but is not limited to) algorithms on graphs and methods for problem solving and optimization. The module consists of a lecture together with exercises.

Topics covered:

  • Network flows and matchings
  • Planarity of graphs
  • A* algorithm
  • Randomized algorithms
  • Linear and (mixed) integer linear programming
  • Parameterized algorithms and kernelization
  • Graph decompositions and treewidth
  • Geometric Algorithms

Methoden

Introduction and explanation of general methods, discussion of examples, justification by giving formal arguments and proofs, independent problem solving, presentation and discussion of solutions.

Prüfungsmodus

Prüfungsimmanent

Weitere Informationen

Organization

The course is divided by topics into six blocks, each consisting of three lectures and one exercise.
The final grade will be based on the exercises and on the final exam. There are six mandatory units of exercises.

Due to Covid-19, all lectures will either take place via live Zoom video meetings (where you also have the possibility to ask questions via chat) and/or provided as video streams.

The first live session takes place on October 4, 15:15-16:45, and is accessible via https://tuwien.zoom.us/j/96348044126. After a brief presentation of the course organization, the first lecture will be given. 

Exercises

They will take place on Thursday 21.10., 28.10., 18.11., 2.12., 10.12., and 13.1., each day in several groups at different times.
You will receive instructions a few weeks before these units and are expected to submit your solutions in advance and also to be able to present your solutions at the blackboard.
You have to register to one of the six groups in TISS and attendance to the exercise lessons of your particular group is compulsory.
Exercise sheets will be available for download.

The exercises take place via Zoom video meetings. It is your responsibility to have a stable internet connection and the necessary hardware (PC/laptop with webcam) available to participate. Video must always be switched on during the exercises.

Final Exam

The final written exam takes place on January 28, 2021, 16:00-19:00 at rooms of TU Wien if the Covid situation will allow it or otherwise at the same time online via Zoom. An additional exam opportunity will be in March, 2021.
At least one exam has to be taken, if both are done then only the best result counts, and only one certificate will be issued.

Grading

The mark you receive depends on this final exam (40%) and your performance at the blackboard exercises (60%).
Blackboard exercises will influence your grade via two different measures:

  • the total number of exercises you indicate to have accomplished and submitted before the deadlines (40%),
  • your presentations of exercises at the blackboard (20%);

The minimal requirements for a positive grade are:

  • >=37% of all blackboard examples marked and successfully submitted in TUWEL (both) before the deadlines as well as at least 3 exercises per exercise sheet from at least 5 of the 6 exercise blocks
  • >=50% on average on your blackboard presentations
  • >=40% on at least one of the two written exams

To obtain full points for the exercises it is sufficient to mark and submit >=75% of all blackboards examples.

Overall grade distribution:
S1: [83%,100%]
U2: [71%,83%)
B3: [58%,71%)
G4: [45%,58%)
N5: [0%,45%)

Note: Once you attended at or submitted your solutions for at least one blackboard exercise session you will in any case receive a grade at the end of the term.

Course material

The lecture slides will be available in TUWEL.

Estimated effort

Hours   Activity
       32   Lecture
       65   Preparation of exercises
         6   Exercise groups
       45   Exam preparation
         2   Written exam
================
     150   Overall 

Please send general and organisational questions to algorithmics@ac.tuwien.ac.at.

Vortragende Personen

Institut

LVA Termine

TagZeitDatumOrtBeschreibung
Mo.15:00 - 17:0004.10.2021 - 13.12.2021 ZoomVO
Mi.09:00 - 11:0006.10.2021 - 15.12.2021 ZoomVO
Do.09:30 - 16:3021.10.2021 - 13.01.2022 via Zoom (LIVE)Exercise Groups 1-6 (refer to the groups for exact times)
Mi.09:00 - 10:0026.01.2022 Zoom (LIVE)Algorithmics Question Time
Algorithmics - Einzeltermine
TagDatumZeitOrtBeschreibung
Mo.04.10.202115:00 - 17:00 ZoomVO
Mi.06.10.202109:00 - 11:00 ZoomVO
Mo.11.10.202115:00 - 17:00 ZoomVO
Mi.13.10.202109:00 - 11:00 ZoomVO
Mo.18.10.202115:00 - 17:00 ZoomVO
Mi.20.10.202109:00 - 11:00 ZoomVO
Do.21.10.202109:30 - 16:30 via ZoomExercise Groups 1-6 (refer to the groups for exact times)
Mi.27.10.202109:00 - 11:00 ZoomVO
Do.28.10.202109:30 - 16:30 via ZoomExercise Groups 1-6 (refer to the groups for exact times)
Mi.03.11.202109:00 - 11:00 ZoomVO
Mo.08.11.202115:00 - 17:00 ZoomVO
Mi.10.11.202109:00 - 11:00 ZoomVO
Mi.17.11.202109:00 - 11:00 ZoomVO
Do.18.11.202109:30 - 16:30 via ZoomExercise Groups 1-6 (refer to the groups for exact times)
Mo.22.11.202115:00 - 17:00 ZoomVO
Mi.24.11.202109:00 - 11:00 ZoomVO
Mo.29.11.202115:00 - 17:00 ZoomVO
Mi.01.12.202109:00 - 11:00 ZoomVO
Do.02.12.202109:30 - 16:30 via ZoomExercise Groups 1-6 (refer to the groups for exact times)
Mo.06.12.202115:00 - 17:00 ZoomVO

Leistungsnachweis

Submission of solutions of examples, presentation of independent solutions in exercise classes, solving exam questions in written tests.

Prüfungen

TagZeitDatumOrtPrüfungsmodusAnmeldefristAnmeldungPrüfung
Fr.16:00 - 19:0028.01.2022EI 3 Sahulka HS - RPL schriftlich01.10.2021 00:00 - 27.01.2022 15:00in TISSVorlesungsprüfung
Fr.16:00 - 19:0028.01.2022EI 3A Hörsaal schriftlich01.10.2021 00:00 - 27.01.2022 15:00in TISSVorlesungsprüfung

Gruppentermine

GruppeTagZeitDatumOrtBeschreibung
Exercise Group 1Do.10:00 - 11:0028.10.2021 - 16.12.2021 Institutsbibliothek HB 0408 (Favoritenstrasse)186.814 Algorithmics Exercise Group 1
Exercise Group 2Do.11:00 - 12:0028.10.2021 - 16.12.2021 Institutsbibliothek HB 0408 (Favoritenstrasse)186.814 Algorithmics Exercise Group 2
Exercise Group 3Do.12:00 - 13:0028.10.2021 - 16.12.2021 Institutsbibliothek HB 0408 (Favoritenstrasse)186.814 Algorithmics Exercise Group 3
Exercise Group 4Do.14:00 - 15:0028.10.2021 - 16.12.2021 Institutsbibliothek HB 0408 (Favoritenstrasse)186.814 Algorithmics Exercise Group 4
Exercise Group 5Do.15:00 - 16:0028.10.2021 - 16.12.2021 Institutsbibliothek HB 0408 (Favoritenstrasse)186.814 Algorithmics Exercise Group 5
Exercise Group 6Do.16:00 - 17:0028.10.2021 - 16.12.2021 Institutsbibliothek HB 0408 (Favoritenstrasse)186.814 Algorithmics Exercise Group 6
Exercise Group 7Do.17:00 - 18:0028.10.2021 - 16.12.2021 Institutsbibliothek HB 0408 (Favoritenstraße)186.814 Algorithmics Exercise Group 7

LVA-Anmeldung

Von Bis Abmeldung bis
21.09.2021 00:00 11.10.2021 23:59

Gruppen-Anmeldung

GruppeAnmeldung VonBis
Exercise Group 112.10.2021 09:0017.10.2021 23:59
Exercise Group 212.10.2021 09:0017.10.2021 23:59
Exercise Group 312.10.2021 09:0017.10.2021 23:59
Exercise Group 412.10.2021 09:0017.10.2021 23:59
Exercise Group 512.10.2021 09:0017.10.2021 23:59
Exercise Group 612.10.2021 09:0017.10.2021 23:59
Exercise Group 712.10.2021 09:0017.10.2021 23:59

Curricula

Literatur

Slides and relevant articles will be made available for download.

Vorkenntnisse

A good understanding of basic algorithms and data structures and methods to analyze them.

Vorausgehende Lehrveranstaltungen

Vertiefende Lehrveranstaltungen

Sprache

Englisch