Universität Wien
Warning! The directory is not yet complete and will be amended until the beginning of the term.

040147 UK Special Topics in Production/Logistics/SCM: Softwaretools in Decision Support (2016W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

English
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 35 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 04.10. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 11.10. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 18.10. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 25.10. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 08.11. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 15.11. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 22.11. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 29.11. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 06.12. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 13.12. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 10.01. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 17.01. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 24.01. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 31.01. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Aims, contents and method of the course

This course gives an introduction to programming using Python for decision support applications, with a focus on the Traveling Salesperson Problem (TSP).

Part I. Introduction
Part II. Python fundamentals
- Variables and operators
- Conditional statements and loops
- Functions
- Input/Output
Part III. Practice on the TSP
- Construction heuristic
- Improvement heuristic

Assessment and permitted materials

Homework 20% (4x5%)
Participation in class, present your solution to the exercises (10%)
Tests 50% (2x25%)
Project work 20%

Minimum requirements and assessment criteria

Know what is a decision support system
Know why programming is useful for decision support
Understand the fundamentals of programming
- simple data structures, arithmetic and boolean operations, control flow (conditional statements and loops), functions, input/output
- no advanced data types, no recursion, no classes, no inheritance, no exception handling, no graphical user interfaces
Be able to write python programs to solve specified problems
- simple methods for the Traveling Salesman Problem (TSP)

Examination topics

Reading list

The Python tutorial
Downey, Allen B.: Think Python. O'Reilly, 2014. Free book available

Association in the course directory

Last modified: Mo 07.09.2020 15:28