Universität Wien

290089 PS Programming in Geoinformatics (2024W)

3.50 ECTS (2.00 SWS), SPL 29 - Geographie
Continuous assessment of course work
Tu 17.12. 11:30-14:00 GIS-Labor Geo NIG 1.OG

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. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

There will be an *optional* recap/ hacking session before the final.

  • Tuesday 08.10. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 15.10. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 22.10. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 29.10. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 05.11. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 12.11. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 19.11. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 26.11. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 03.12. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Tuesday 10.12. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG

Information

Aims, contents and method of the course

This class will introduce students to conceptual modeling and programming, focusing on spatial and geographic data and modeling domain problems in (human and physical) geography, transportation studies, urban studies, and so forth. Prior programming knowledge is *not* required, but the class is moving at a rapid pace, starting from the very basics, such as variables and control structures, to more advanced topics, including graphical user interfaces, animations, user interaction, basic data structures, cellular automata, and spatial analytics more broadly. The class will focus on object-oriented modeling and programming using Java, but most materials will generalize to modern programming languages, be they C++ or Python.

While this is a hands-on, coding-intensive class, its ultimate aim is to help students understand the path from a concrete domain problem to its computational implementation, e.g., from understanding the spread of disease to the data structures, models, methods, graphical interfaces, and so forth, to simulate this spread on a computer.

A (short) theoretical block will be followed by in-class programming in small and learn teams and the discussion of results. This class, while very rewarding and of crucial relevance for most students' future careers, will be work-intensive.

Class content by example:

1. Data Types, Operators, and Control Statements
2. Classes, Objects, and Methods
3. Variables, Classes, Methods, and their Scope
4. Inheritance and Polymorphism
5. Interfaces and Encapsulation
6. Complexity in Modeling
7. Graphical User Interfaces
8. Model-View-Controller
9. Basic Input/Output and Networking
10. Exception Handling

Assessment and permitted materials


Mid-term exam: 40%
Final exam: 40%
Assignment: 10%
Active participation: 10%

Various smaller and larger assignments (in class and at home)

While highly rewarding, this is a work-intensive class, as assignments may take more or less time to complete based on the groups' skills, etc.

Minimum requirements and assessment criteria

Students will hand in an assignment, present results during class, and work in teams (both small and large). Active participation is part of the overall grade. There will be two exams (mid-term and final).

A positive evaluation (passing grade) is given with an overall rating of 51% or more.

Examination topics

Materials, documentation, and book chapters will be available via Moodle. The exams will cover all materials introduced during the lectures and will require writing source code (not just multiple choice).

Reading list

Materials, documentation, and book chapters will be available via Moodle.

Association in the course directory

(MK1-W1-PI)

Last modified: Mo 09.12.2024 09:46