Mathematics for Modeling and Data Analysis

This course covers mathematical methods that are relevant for modeling and data analysis. Particular emphasis will be put on an intuitive understanding as is required for a creative command of mathematics.

The following topics will be covered: Functions, vector spaces, matrices as transformations, systems of linear differential equations, qualitative analysis of nonlinear differential equations, possibly also Bayes theory and multiple integrals.

Lecturers

Details

Course type
Lectures
Credits
6 CP
Term
Summer Term 2019

Dates

Lecture
Takes place every week on Thursday from 12:15 to 13:45 in room NB 3/57.
First appointment is on 04.04.2019
Last appointment is on 11.07.2019
Preliminary meeting
Takes place every week on Thursday from 09:00 to 10:30 in room NB 3/57.
First appointment is on 11.04.2019
Last appointment is on 11.07.2019
Exercise
Takes place every week on Thursday from 10:30 to 12:00 in room NB 3/57.
First appointment is on 11.04.2019
Last appointment is on 11.07.2019

Requirements

Basic knowledge of linear algebra and calculus.

Moodle: https://moodle.ruhr-uni-bochum.de/m/course/view.php?id=19961

About the INI

The Institut für Neuroinformatik (INI) is a research unit of the Faculty of Computer Science at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.

Contact

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210

sekretariat@ini.rub.de
www.ini.rub.de