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, Bayes theory, multiple integrals.

Lecturers

Details

Course type
Lectures
Credits
6 CP
Term
Summer Term 2017

Dates

Lecture
Takes place every week on Thursday from 12.15 to 13.45 in room NB 3/57.
First appointment is on 20.04.2017
Last appointment is on 27.07.2017
Exercise
Takes place every week on Thursday from 09.00 to 12.00 in room NB 3/57.
First appointment is on 27.04.2017
Last appointment is on 27.07.2017

Requirements

Basic knowledge of linear algebra and calculus

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through 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 approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science.

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

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