080107 UE Course: Coding, Automating, and Visualizing Art History (2024W)
Continuous assessment of course work
Labels
Th 24.10. 14:00-15:30
Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
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 Tu 24.09.2024 10:00 to Tu 01.10.2024 10:00
- Deregistration possible until We 09.10.2024 10:00
Details
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 03.10. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- Thursday 10.10. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- Thursday 17.10. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- N Thursday 24.10. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- Thursday 31.10. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- Thursday 07.11. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- Thursday 14.11. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- Thursday 21.11. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- Thursday 28.11. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- Thursday 05.12. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- Thursday 12.12. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- Thursday 09.01. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- Thursday 16.01. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- Thursday 23.01. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
- Thursday 30.01. 14:00 - 15:30 Seminarraum 4 d. Inst. f. Kunstgeschichte (1. Stock) UniCampus Hof 9 3F-O1-27
Information
Aims, contents and method of the course
Assessment and permitted materials
Examination and Grading:
Assessment will be based on a series of homework assignments distributed throughout the semester (40%) and a coding project (40%) with presentation (20%).
Assessment will be based on a series of homework assignments distributed throughout the semester (40%) and a coding project (40%) with presentation (20%).
Minimum requirements and assessment criteria
Minimum requirement:
- Compulsory attendance. In the event of an absence due to illness or an exceptional family situation, written proof must be presented.
- All partial achievements must be completed in order to successfully complete the course.
- 1 (very good) 100-90 points; 2 (good) 89-81 points; 3 (satisfactory) 80-71 points; 4 (enough) 70-61 points; 5 (not enough) 60-0 points
- Compulsory attendance. In the event of an absence due to illness or an exceptional family situation, written proof must be presented.
- All partial achievements must be completed in order to successfully complete the course.
- 1 (very good) 100-90 points; 2 (good) 89-81 points; 3 (satisfactory) 80-71 points; 4 (enough) 70-61 points; 5 (not enough) 60-0 points
Examination topics
The examination material is the content of the course.
Reading list
Slides
Association in the course directory
Last modified: Mo 30.09.2024 16:25
The course will cover (subject to changes based on time constraints as well as participants' interests):
1. Introduction
2. Python Basics
3. Data Analysis and Visualization
4. Graphs and Networks
5. Further Topics in Data Science
6. Coding Project· Language:
Course materials will be presented in English, but participants may choose to communicate with the instructor and complete assignments in either English or German.