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 and how to visualize them
- Vector spaces
- Matrices as transformations
- Systems of linear differential equations
- Qualitative analysis of nonlinear differential equations
possibly also
- Bayesian theory
- Multiple integrals
Lecturers
Prof. Dr. Laurenz WiskottLecturer |
(+49) 234-32-27997 laurenz.wiskott@ini.rub.de NB 3/29 |
Details
- Course type
- Lectures
- Credits
- 6 CP
- Term
- Summer Term 2021
- E-Learning
- moodle course available
Dates
- Lecture
-
Takes place
every week on Thursday from 12:15 to 13:45.
First appointment is on 15.04.2021
Last appointment is on 22.07.2021 - Exercise
-
Takes place
every week on Thursday from 10:30 to 12:00.
First appointment is on 22.04.2021
Last appointment is on 22.07.2021
Requirements
Basic knowledge of calculus and linear algebra.
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, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210