About this course

This course introduces students with programming experience in high-level programming languages (e.g., Python) to programming in a compiled programming language with explicit memory management, with a focus on efficient use of computational resources (CPU time and memory). Specific topics are:

  • C++ as a modern programming language
  • Compiling and building projects
  • Pointers, memory allocation and deallocation
  • Working with the C++ Standard Library
  • Generic programming with templates
  • Implementing containers from first principles
  • Programming and sustainability
  • Interfacing with ROS (e.g., for embedded systems)

Learning outcome

After completing the course you will be able to

  • implement algorithms in modern C++
  • manage memory safely
  • use the C++ Standard Library and third-party libraries
  • implement data types from first principles
  • develop code suitable for embedded systems
  • assess programs and their use in terms of sustainability metrics
  • create interfaces allowing the code to interact with other software

  • Learning activities

    Lectures, computer lab and programming tasks.

  • Teaching support

    Course room on Canvas, assistance in the computer lab, public course website (home.bawue.de/~horsch/teaching/inf205/).

  • Syllabus

    • B. Stroustrup, A Tour of C++, 3rd edn., Pearson Education (ISBN 978-0-13-681648-5), 2023.
    • B. Stroustrup, H. Sutter (eds.), C++ Core Guidelines, 2015-2025.

  • Prerequisites

    INF120 or equivalent

  • Assessment method

    Portfolio evaluation. A-F.

    Programming project Karakterregel: Letter grades

  • About use of AI

    K2. Specified use of AI. No generative AI tools whatsoever are permitted when working on submissions that contribute to the grade by portfolio evaluation. For other purposes, they can be used freely.

    Descriptions of AI-category codes.

  • Examiner scheme

    The external examiner approves the portfolio evaluation setup.

  • Mandatory activity

    In excess of that which counts toward the portfolio evaluation, each student shall present on at least one of the tutorial problems within the tutorial sessions.

  • Teaching hours

    24h lectures, 12h computer lab

  • Admission requirements

    REALFAG