What is the Foundation of Data Science course about?

Data science aims at making sense of big data. To that end, various tools have to be understood to help in analyzing the arising structures. Often data comes as a collection of vectors with a large number of components. Understanding their common structure is the first main objective of understanding the data. The geometry and the linear algebra behind them become relevant and enlightening. Yet, the intuition from low-dimensional space turns out to be often misleading. We need to be aware of the particular properties of high-dimensional spaces when working with such data.

Fruitful methods for the analysis include singular vector decomposition from linear algebra and supervised and unsupervised machine learning.

Logistics:

• Lectures: will take place in Room 0.109 (B-IT-Max) (Friedrich-Hirzebruch-Allee 6). ZOOM LINK
• Tuesday: 10:15 AM – 11:45 AM
• Thursday: 10:15 AM – 11:45 AM
• Exercises: will take place in Room 0.109 (B-IT-Max) (Friedrich-Hirzebruch-Allee 6). ZOOM LINK
• Tuesday: 12:15 PM – 13:45 AM
• Course Materials: will be uploaded every week on eCampus.
• Contact: Students should ask all course-related questions in our forum discussion on eCampus. For external inquiries, emergencies, or personal matters, you can contact Prof. Flek or David.
• Office Hours: Please reach out to us first via mail to arrange any in-person meeting.
  • Prof. Dr. Lucie Flek: Friedrich-Hirzebruch-Allee 6 (B-IT) – Room: 2.123
  • David Kaczér: Friedrich-Hirzebruch-Allee 6 (B-IT) – Room: 2.120
  • Dr. João A. Gonçalves: Friedrich-Hirzebruch-Allee 6 (B-IT) – Room: 2.126