Universität Wien

290089 PS Programming in Geoinformatics (2023W)

3.50 ECTS (2.00 SWS), SPL 29 - Geographie
Continuous assessment of course work

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

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, ideal for beginners, and of crucial relevance for most students' future careers, will be work-intensive.

Tuesday 17.10. 13:30 - 16:00 GIS-Labor Geo NIG 1.OG
Tuesday 24.10. 13:30 - 16:00 GIS-Labor Geo NIG 1.OG
Tuesday 31.10. 13:30 - 16:00 GIS-Labor Geo NIG 1.OG
Tuesday 07.11. 13:30 - 16:00 GIS-Labor Geo NIG 1.OG
Tuesday 14.11. 13:30 - 16:00 GIS-Labor Geo NIG 1.OG
Tuesday 21.11. 13:30 - 16:00 GIS-Labor Geo NIG 1.OG
Tuesday 28.11. 13:30 - 16:00 GIS-Labor Geo NIG 1.OG
Tuesday 05.12. 13:30 - 16:00 GIS-Labor Geo NIG 1.OG
Tuesday 12.12. 13:30 - 16:00 GIS-Labor Geo NIG 1.OG
Tuesday 09.01. 13:00 - 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

Assignments (individual, in groups of two, and larger groups) AND presentation of assignments in class: 30%
Mid-term exam: 30%
Final exam: 30%
Active participation: 10%

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 assignments, present them 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. Attendance is strongly recommended.

100 % - 90 % = 1
89 % - 80 % = 2
79 % - 70 % = 3
69 % - 60 % = 4
Below 60 % = 5

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 16.10.2023 11:48