Copying code (either from other students or from external sources) is strictly prohibited. We will use automatic anti-plagiarism tools, and any violation of this rule will be reported to Academic Integrity. Late assignments will be graded out of 70%.
For this class, you will use the minimal framework provided with each assignment. It compiles on Windows, Linux, and Mac. No special hardware is required for this class as we will not be using the GPU for the assignments.
You must install a C++ compiler: gcc/clang on Linux, clang on Mac, Visual Studio on Windows.
If you are looking for an IDE to develop in C++, we recommend Visual Studio Code on Mac/Linux, and Visual Studio on Windows.
Follow the instructions on Windows.
We will provide a folder for each assignment with some sample code to get you started. For each assignment, you will need to do the following:
- Download the assignment code
- Create a directory called
buildin the assignment directory, e.g.:cd assignment_X; mkdir build - Use the compiler to compile inside the
build/directory:cd build; g++ ../assignment_X.cpp -o assignment_X - Run the compiled executable by typing:
./assignment_X
The delivery of the exercises is done using brightspace. The repository should follow the template provided in the starter code, and it must contain:
- The source code, together with any changed files, but excluding all compiled binaries/libraries. Specifically, do not include the
build/directory. The code must successfully compile on your operating system of choice: code that does not compile will not be awarded any points, even if it contains a partial implementation of the solution.
Note: Using additional external software for your assignments will not be necessary. If you need to use additional binaries/external libraries other than those provided by us, please first get approval by sending a message on Teams.
Your submission will be graded according to the correctness of the implemented algorithms.