# Methods of Mathematical Analysis

*Winter Semester 2017/18*

**Lecturer:** Clayton Greenberg

*The final exam is Friday, February 2 at 14:00 sharp in E2.5, Hörsaal III.*

Lecture slides are available in the Google Calendar description.

This course derives the most relevant results in calculus, mathematical logic, and linear algebra and applies those to some machine learning / natural language processing tasks. Material will be presented at a level aimed as a gentle reintroduction to topics that may not have been used in recent studies. However, students will be expected to participate actively in class and complete regular take-home exercises, in order to achieve operational competency by the end of the semester.

**Suitable for:** LST / LCT / Computer Science / CuK

**Lectures:** Fri 14-16 c.t. beginning October 27, C7.3 1.12 - Seminarraum

**Exercises:** Thu 14-16 c.t. beginning October 26, C7.3 1.12 - Seminarraum

**Office hour:** Immediately after the Friday lecture

**Grading:** project 15%, written midterm exam 25%, written final exam 60%

**Exam qualification:** must obtain 50% of points on written exercises / project

**In email related to this course:** please use the subject tag [MoMA]

**Literature (available at the UdS Informatics Library):**

Eccles, P. J. (1997). *An Introduction to Mathematical Reasoning: numbers, sets and functions*. Cambridge University Press.

Lay, D. (2005). *Linear Algebra and Its Applications, 3rd Updated Edition*. Addison Wesley.

Stewart, J. (2002). *Calculus: Early Transcendentals, 5th Edition*. Brooks Cole.