After successful completion of the course, students are able to (among others)
The content of this course covers the representation and analysis of geometric data using different algorithmic methods. This includes fundamental aspects of algorithms per se (definition, complexity analysis, efficiency). In particular, algorithms and data structures for simple and advanced geometric problems as well as sweep and spatial access methods are covered.The content of the course particularly includes the acquisition of the skills and abilities to solve these problems programmatically using Python.
Lecture; solving exercises independently (with help)
Lecture and exams will exclusively be offered ONLINE. A webcam is highly appreciated for the lecture and it is mandatory in order to take an exam.
There will be a live lecture on ZOOM every week throughout the semester.
The ZOOM link to access the live lecture will be available on the TUWEL-site (see this site also for course materials) of the course as of March 1st, 2021.
In case of the oral online exams personalised ZOOM links will be provided ahead of time. You are required to have a working webcam, mic and speakers to participate in the exam. If you cannot fulfill these requirements, please inform the lecturer as soon as possible after you have enrolled for an exam date via TISS.
The oral exams are conducted according to Bloom's taxonomy; based on the fact that the course is at the master level, all levels will be reached throughout the examination talk. Further information will be given during the first lecture.
Students have two options regarding their course assessment:
Option 1) 100% of the assessment are achieved by means of the 30 minute oral exam.
Option 2) A maximum of 30% of the assessment can be achieved through submission of three problem sets (more info will be given in week 1). The remaining 70% are achieved during the oral exam.
Further information will be given during the first lecture.
Working knowledge in Python.
