Universität Wien
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290089 PS Programming in Geoinformatics (2024W)

3.50 ECTS (2.00 SWS), SPL 29 - Geographie
Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

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

  • Dienstag 08.10. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 15.10. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 22.10. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 29.10. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 05.11. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 12.11. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 19.11. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 26.11. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 03.12. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 10.12. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 17.12. 11:30 - 14:00 GIS-Labor Geo NIG 1.OG

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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

Art der Leistungskontrolle und erlaubte Hilfsmittel


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.

Mindestanforderungen und Beurteilungsmaßstab

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.

Prüfungsstoff

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).

Literatur

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

Zuordnung im Vorlesungsverzeichnis

(MK1-W1-PI)

Letzte Änderung: Mo 09.12.2024 09:46