Intensive Course C++
This course has reached its capacity of students.
Registration
Limited number of participants!
| Registration period: | 1st December 2021 21st January 2022 |
| How to register: | Register via e-mail to cplusplus@ini.rub.de, stating your name, student ID number, study program (including Bachelor or Master level), and semester. You will receive a confirmation e-mail shortly after. |
Information for Bachelor students of Applied Computer Science: Contrary to before, you cannot register in FlexNow yourself for this course. Following a successful registration with the above instructions the examination office (Prüfungsamt) will receive a full list of participants from the lecturer.
Course Description
The block course provides a short but extensive introduction to the programming language C++. It is aimed at students with a solid knowledge of Java, Python, or another imperative programming language.
Course topics include:
- basics of imperative 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
The course language is German.
Lecturers
Details
- Course type
- Lab courses
- Credits
- 3 CP
- Term
- Winter Term 2021/2022
Dates
- Lab course
-
Takes place
every day from 09:00 to 17:00.
First appointment is on 14.03.2022
Last appointment is on 25.03.2022
Requirements
It is assumed that participants are already familiar with an imperative, possibly object oriented programming language, e.g., Java or Python.
This course is not suited for programming beginners.
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