Methods of Mathematical AnalysisWinter 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]
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.