040147 UK Special Topics in Production/Logistics/SCM: Softwaretools in Decision Support (2023S)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften

Continuous assessment of course work

REMOTE

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).

Registration is open from Mo 13.02.2023 09:00 to We 22.02.2023 12:00
Deregistration possible until Fr 17.03.2023 23:59

Details

max. 30 participants

Language: English

Lecturers

Ana Beatriz Fernandes Herthel

Classes (iCal) - next class is marked with N

29.03 and 10.05: Presentation of Homework solutions
14.06: Project presentation
24.05 and 28.06: Exams

    
    Wednesday
    01.03.
    15:00 - 16:30
    Digital
    
    Wednesday
    08.03.
    15:00 - 16:30
    Digital
    
    Wednesday
    15.03.
    15:00 - 16:30
    Digital
    
    Wednesday
    22.03.
    15:00 - 16:30
    Digital
    
    Wednesday
    29.03.
    15:00 - 16:30
    Digital
    
    Wednesday
    19.04.
    15:00 - 16:30
    Digital
    
    Wednesday
    26.04.
    15:00 - 16:30
    Digital
    
    Wednesday
    03.05.
    15:00 - 16:30
    Digital
    
    Wednesday
    10.05.
    15:00 - 16:30
    Digital
    
    Wednesday
    17.05.
    15:00 - 16:30
    Digital
    
    Wednesday
    24.05.
    15:00 - 16:30
    Digital
    
    Wednesday
    31.05.
    15:00 - 16:30
    Digital
    
    Wednesday
    07.06.
    15:00 - 16:30
    Digital
    
    Wednesday
    14.06.
    15:00 - 16:30
    Digital
    
    Wednesday
    21.06.
    15:00 - 16:30
    Digital
    
    Wednesday
    28.06.
    15:00 - 16:30
    Digital

Information

Aims, contents and method of the course

This course gives an introduction to programming for decision support (DS) applications. The language of choice is Python, although the course will focus on fundamental programming concepts that also exist in other programming languages. The ultimate goal is to learn how to implement algorithms to solve optimization problems such as the Traveling Salesperson Problem (TSP).

The course covers the following topics:
* Understand what are DS systems and what is the role of programming in DS.
* Get familiar with Spyder, an integrated development environment for Python.
* Basic concepts of programming, such as variables, operators, conditional statements, loops, functions, and input and output from/to files.
* Implementation of construction and improvement heuristics for the TSP

Assessment and permitted materials

Homework 20% (4x5%)
Present and discuss your solution to the exercises, active participation in class (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)

0% - 49% : 5

50% - 62% : 4

63% - 74% : 3

75% - 86% : 2

87% - 100% : 1

Examination topics

Python fundamentals:
- Variables and operators
- Conditional statements and loops
- Functions
- Input/Output
Practice on the TSP:
- Construction heuristic
- Improvement heuristic

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