Universität Wien
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040147 UK Special Topics in Production/Logistics/SCM: Softwaretools in Decision Support (2022W)

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

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

  • Thursday 06.10. 09:45 - 11:15 Digital
  • Thursday 13.10. 09:45 - 11:15 Digital
  • Thursday 20.10. 09:45 - 11:15 Digital
  • Thursday 27.10. 09:45 - 11:15 Digital
  • Thursday 03.11. 09:45 - 11:15 Digital
  • Thursday 10.11. 09:45 - 11:15 Digital
  • Thursday 17.11. 09:45 - 11:15 Digital
  • Thursday 24.11. 09:45 - 11:15 Digital
  • Thursday 01.12. 09:45 - 11:15 Digital
  • Thursday 15.12. 09:45 - 11:15 Digital
  • Thursday 12.01. 09:45 - 11:15 Digital
  • Thursday 19.01. 09:45 - 11:15 Digital
  • Thursday 26.01. 09:45 - 11:15 Digital

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 programming heuristics for routing/scheduling/planning problems.

Part I. Introduction
Part II. Python fundamentals
- Variables and operators
- Conditional statements and loops
- Functions
- Input/Output
Part III. Programming methods for optimization
- 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 combinatorial optimization such as routing problems and scheduling problems

Examination topics

- Fundamentals of programming using Python language (concepts such as the use of variables, operations, conditional statements, loops, functions, and input/output from/to files).

- Translating decision problems to a programming environment (solution representation, meaning of solution values).

- Implementation and presentation of heuristic algorithms for a routing/scheduling/planning problem.

Reading list

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

Association in the course directory

Last modified: Th 11.05.2023 11:27