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Summary
This is the last part of a three-semester course series in mathematics for computer science students.
This course focuses on the analysis of functions in several variables (continuity, differentiation, optimisation, integration) as well as on probability theory and statistics.
The lectures and general tutorials will be given in English; there will be small-group tutorials in both English and German.
Lectures
Wednesday, 8:30-10:00, Günter Hotz Hörsaal
Friday, 12:15-13:45, Günter Hotz Hörsaal
The Günter Hotz Hörsaal is located in building E2 2; an interactive campus map can be found here.
Course materials are available here.
General tutorial
Wednesday, 16:00-17:30, Hörsaal II (tbc)
Hörsaal II is located in building E2 5; an interactive campus map can be found here.
Small-group tutorials
You can submit your preferences for the small-group tutorials between Wednesday, 15 October, 11:00am and Friday, 17 October, 10:59am via CMS.
Assignments
There will be weekly assignments, which will be uploaded on Wednesdays (available here).
The submission deadline is the following Wednesday at 8:30 am, via CMS. You must submit your solutions in teams of two or three students.
The solutions will be discussed in the small-group tutorials.
Further sample problems will be discussed in the general tutorial.
Exam
To be admitted to the (written) exam, you must achieve at least 50% of the total score of the assignments.
Students who have actively participated in the small-group tutorials will even be admitted to the exam if they have achieved at least 45% of the total score of the assignments.
References
The following books are available online (free of charge) as long as you are using an IP address of the university:
- R. Courant and F. John, Introduction to Calculus and Analysis II/1, Springer
- C. Blatter, Analysis III, Springer
- O. Forster, Analysis 1, Springer
- O. Forster, Analysis 2, Springer
- H. Heuser, Lehrbuch der Analysis 2, Springer
- D. Williams, Weighing the Odds, Cambridge University Press
- N. Henze, Stochastik für Einsteiger, Springer
In order to get access from outside the university network, you must set up a VPN-connection to the university servers. A detailed description (unfortunately only in German) can be found here.
More literature for this lecture course can be found on the digital Course Reference Shelf (German version available here) that is kindly provided by the Campusbibliothek für Informatik und Mathematik.