270240 PR Data Science Introduction in Python (2022W)
Continuous assessment of course work
Labels
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 Sa 10.09.2022 08:00 to We 28.09.2022 23:59
- Deregistration possible until We 28.09.2022 23:59
Details
max. 15 participants
Language: German
Lecturers
Classes
- Lecture: every Wednesday from October 5th, 2022 until January 25th, 2023 at 10:15a.m. in room SEM 4
- Practics: every Tuesday from October 11th, 2022 until January 31st, 2023 at 10:15a.m. in room SEM 4
Information
Aims, contents and method of the course
In this course, the students will be introduced into the basic concept of programming along the programming language Python as well as into basic data structures and algorithms. Topics will be discussed as representation of information, primitive data types, control structures, functions, concept of classes, inheritance. Advanced data structures will be introduced as lists, queues, sets, dictionaries, and graphs. In the second half of the course, topics such as clustering, classification, regression, or statistical evaluation will be discussed. Methods like k-means, kNN, decision trees, PCA, EM algorithm t-Test, or Benjamini-Hochberg correction will be examined.
Assessment and permitted materials
In the practical part of the course, the students will get exercises that they have to implement on their own during the session. These implementations will be assessed by the course instructor afterward. The instructor will additionally ask questions according to the implementation. Plagiarism, deception, or transcription of co-students is not tolerated and will be scored with 0 points. To successfully pass this course, the students have to gather at least 50% of all points of the practical exams.
Minimum requirements and assessment criteria
50% of the reachable points in the practical course
Examination topics
Reading list
Association in the course directory
CH-SAS-07, AN-1, AN-2, BC-1
Last modified: Fr 30.09.2022 16:09