Universität Wien

040147 UK Special Topics in Production/Logistics/SCM: Softwaretools in Decision Support (2015W)

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

Important appointments:
- Test 1: December 16th, 13:15h
- Test 2: January 27th, 13:15h

  • Wednesday 07.10. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 14.10. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 21.10. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 28.10. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 04.11. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 11.11. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 18.11. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 25.11. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 02.12. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 09.12. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 16.12. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 13.01. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 20.01. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 27.01. 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% (2x10%)

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