186.814 Algorithmics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022W, VU, 4.0h, 6.0EC
TUWELLectureTube

Properties

  • Semester hours: 4.0
  • Credits: 6.0
  • Type: VU Lecture and Exercise
  • LectureTube course
  • Format: Hybrid

Learning outcomes

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.

Subject of course

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

Teaching methods

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

Mode of examination

Immanent

Additional information

Organization

We intend to do all activities of this course as far as the Covid situation will allow in presence. However, all lectures will also be recorded and provided as streams. Exercises as well as the final exams are planned to be done fully in presence.

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.

We intend to do all lectures and exercises in presence, but if the Covid-19 situation requires, we might partly turn to distance learning.

The first lecture takes place on Monday, October 3, 11:15-12:45 in FAV HS1. It includes a presentation of the course organization. 

Exercises

They will take place on Thursday 20.10., 3.11., 17.11., 1.12., 15.12., and 12.01., 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 in the exercises
You have to register to one of the groups in TISS and attendance to the exercise sessions of your particular group is compulsory.
Exercise sheets will be available for download.

Final Exam

The final written exam takes place on January 26, 2023, 10:00-13:00. An additional exam opportunity will be in March, 2023.
If you do both exams, then the better result counts.

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 blackboard examples  in addition to getting all points on your presentations.

Overall grade distribution:
S1: [88%,100%]
U2: [75%,88%)
B3: [63%,75%)
G4: [50%,63%)
N5: [0%,50%)

As an additional exception, you can also get the positive grade G4 in case you cannot attend both of the exams but have marked >= 90% of all blackboard examples and have >=50% on average on your blackboard presentations. We remark that this rule is only intended for exceptional cases and strongly encourage you to do at least one of the exams.

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.

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon11:00 - 13:0003.10.2022 - 12.12.2022FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed09:00 - 11:0005.10.2022 - 14.12.2022FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu10:00 - 13:0020.10.2022 - 15.12.2022Seminarraum FAV 01 A (Seminarraum 183/2) Exercises
Thu14:00 - 18:0020.10.2022 - 15.12.2022Seminarraum FAV EG C (Seminarraum Gödel) Exercises
Mon11:00 - 13:0014.11.2022FAV Hörsaal 1 Helmut Veith - INF Algorithmics Question Time
Thu10:00 - 13:0012.01.2023Seminarraum FAV 01 A (Seminarraum 183/2) Exercise
Thu14:00 - 18:0012.01.2023Seminarraum FAV EG B (Seminarraum von Neumann) Exercise
Mon11:00 - 13:0023.01.2023FAV Hörsaal 2 Algorithmics Question Time
Algorithmics - Single appointments
DayDateTimeLocationDescription
Mon03.10.202211:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed05.10.202209:00 - 11:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Mon10.10.202211:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed12.10.202209:00 - 11:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Mon17.10.202211:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed19.10.202209:00 - 11:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu20.10.202210:00 - 13:00Seminarraum FAV 01 A (Seminarraum 183/2) Exercises
Thu20.10.202214:00 - 18:00Seminarraum FAV EG C (Seminarraum Gödel) Exercises
Mon24.10.202211:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu03.11.202210:00 - 13:00Seminarraum FAV 01 A (Seminarraum 183/2) Exercises
Thu03.11.202214:00 - 18:00Seminarraum FAV EG C (Seminarraum Gödel) Exercises
Mon07.11.202211:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed09.11.202209:00 - 11:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Mon14.11.202211:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Algorithmics Question Time
Wed16.11.202209:00 - 11:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu17.11.202210:00 - 13:00Seminarraum FAV 01 A (Seminarraum 183/2) Exercises
Thu17.11.202214:00 - 18:00Seminarraum FAV EG C (Seminarraum Gödel) Exercises
Mon21.11.202211:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed23.11.202209:00 - 11:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Mon28.11.202211:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture

Examination modalities

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

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Fri16:00 - 19:0015.03.2024GM 1 Audi. Max.- ARCH-INF written31.12.2023 00:00 - 13.03.2024 23:59TISSNachtragstest

Group dates

GroupDayTimeDateLocationDescription
Exercise Group 1Thu10:00 - 11:0020.10.2022 - 22.12.2022Seminarraum FAV 01 A (Seminarraum 183/2) 186.814 Algorithmics Exercise Group 1
Exercise Group 2Thu11:00 - 12:0020.10.2022 - 22.12.2022Seminarraum FAV 01 A (Seminarraum 183/2) 186.814 Algorithmics Exercise Group 2
Exercise Group 3Thu12:00 - 13:0020.10.2022 - 22.12.2022Seminarraum FAV 01 A (Seminarraum 183/2) 186.814 Algorithmics Exercise Group 3
Exercise Group 4Thu14:00 - 15:0020.10.2022 - 22.12.2022Seminarraum FAV EG C (Seminarraum Gödel) 186.814 Algorithmics Exercise Group 4
Exercise Group 5Thu15:00 - 16:0020.10.2022 - 22.12.2022Seminarraum FAV EG C (Seminarraum Gödel) 186.814 Algorithmics Exercise Group 5
Exercise Group 6Thu16:00 - 17:0020.10.2022 - 22.12.2022Seminarraum FAV EG C (Seminarraum Gödel) 186.814 Algorithmics Exercise Group 6
Exercise Group 7Thu17:00 - 18:0020.10.2022 - 22.12.2022Seminarraum FAV EG C (Seminarraum Gödel) 186.814 Algorithmics Exercise Group 7

Course registration

Begin End Deregistration end
20.09.2022 00:00 10.10.2022 23:59

Group Registration

GroupRegistration FromTo
Exercise Group 111.10.2022 09:0019.10.2022 17:59
Exercise Group 211.10.2022 09:0019.10.2022 17:59
Exercise Group 311.10.2022 09:0019.10.2022 17:59
Exercise Group 411.10.2022 09:0019.10.2022 17:59
Exercise Group 511.10.2022 09:0019.10.2022 17:59
Exercise Group 611.10.2022 09:0019.10.2022 17:59
Exercise Group 711.10.2022 09:0019.10.2022 17:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 645 Data Science Not specified
066 646 Computational Science and Engineering Not specified
066 926 Business Informatics Mandatory elective
066 931 Logic and Computation Mandatory1. Semester
066 932 Visual Computing Mandatory elective
066 937 Software Engineering & Internet Computing Mandatory elective
066 938 Computer Engineering Mandatory elective
860 GW Optional Courses - Technical Mathematics Not specified

Literature

Slides and relevant articles will be made available for download.

Previous knowledge

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

Preceding courses

Continuative courses

Language

English