Programming Applications in C++

Limited number of participants! Please register by sending an email to: cpp_anwendung@ini.rub.de stating your name, student ID number, study program (Studiengang), and semester. 

Please do not forget to register with your Prüfungsamt as well.

Registration period: December 1, 2017 to January 12, 2018.

This course provides a two-week introduction to various established C++ Libraries that are relevant to develop modern graphical applications, and is build on the "Intensive Course C++" which is a requirement for participating. There will be several applications in Neuroinformatics like machine learning, computer vision etc.

Educational objects:
Participants will be able to learn and deepen their knowledge on complex libraries autonomously. There will be a focus on design concepts which will enable students to determine which library to use in terms of use case and target of application.

Topics:
- Modern view of C++
- Graphical user interface (Qt)
- Database connections
- Network programming
- Multithreading
- Topics of machine learning
- Topics of (real-time) computer vision

Lecturers

Details

Course type
Lab courses
Credits
4 CP
Term
Winter Term 2017/2018

Dates

Lab course
Takes place every day from 09:00 to 17:00 in room ID 03/121.
First appointment is on 12.03.2018
Last appointment is on 23.03.2018

Requirements

Successful completion of the lab course "Intensive course C++".

About the INI

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.

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