Intensive Course C++
Limited number of participants!
Please register by email to cplusplus@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: from December 1, 2019 to January 10, 2020.
Please note that contrary to before the course will only take place each winter semester. I.e., there will be no block course in August / September 2020.
The block course provides a short but extensive introduction to the programming language C++. It is aimed at students that have a solid knowledge of Java, Python, or another imperative programming language. C++ is used in many research groups in the "Institut für Neuroinformatik" (Institute for Neural Computation).
- basics of imerative programming in C / C++
- basic language constructs
- arrays, pointer arithmetic, references, dynamic memory management
- basic classes in C++: string, vector
- classes and object orientation in C++
- const-correctness
- inheritance, polymorphism
- further class concepts: static member, rule of three (five)
- templates
- metaprogramming
- standard library
- miscellaneous (mostly C++14 / C++17)
- move semantics, exceptions, auto-declare, initializer syntax, casting, enumerations
- multi-threading (later than C++11)
- also smart pointers
Lecturers
Dr.-Ing. Sebastian HoubenLecturer |
sebastian.houben@ini.rub.de |
Daniela Horn, M.A. M.Sc.Teaching Assistant |
daniela.horn@ini.rub.de |
Details
- Course type
- Lab courses
- Credits
- 3 CP
- Term
- Winter Term 2019/2020
Dates
- Lab course
-
Takes place
every day from 09:00 to 17:00 in room CIP Pool (1) ID 03/139.
First appointment is on 10.02.2020
Last appointment is on 21.02.2020
Requirements
It is assumed that participants are already familiar with an imperative, possibly object oriented programming language, e.g., Java. This course is not suited for programming beginners.
The Institut für Neuroinformatik (INI) is a interdisciplinary research unit of the Ruhr-Universität Bochum. We aim to understand fundamental principles that characterize how organisms generate behavior and cognition while linked to their environments through sensory and effector systems. Inspired by insights into 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, theoretical approaches from physics, mathematics, and computer science, including, in particular, machine learning, artificial intelligence, autonomous robotics, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210