Basic programming ability in any modern language (Python, Java, C++, etc.) is necessary in order to be able to follow the course. Knowledge of any other programming language is a plus but not mandatory.
Programming is the art of telling computers what to do, and programming languages are the main tool to achieve that.
The course comprises foundational knowledge as the evolution of programming languages, methods to describe language syntax and semantics, bindings, types, metaprogramming and concurrency, but also newer developments such as Kotlin and R as examples of specific language developments. It is about getting acquainted to very different programming paradigms, such as kernel-based highly parallel CUDA programming and event-based programming (used in robot control and game loops) as well as functional and logical programming that have highly influenced modern languages as Python.
This course is an introduction to foundations and evolution of programming languages. The main goal of the course is to provide insights into the relationship between concepts of programming languages and how they are implemented, which should enable you to learn different new languages or related techniques employed in the programming context faster, and make more informed decisions about what to use when.
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Mode of instruction
2 hours lectures, 2 hours working classes (labs) per week.
For both of these, it is appreciated if students bring their own devices as laptops or tablets. This is not mandatory but at least each group should have one device to work with. Most examples used in the lecture are from the web, thus simple devices shall be sufficient. Self study/group work is necessary to finish the assignments, the labs are rather for getting started and obtaining feedback.
The final grade is calculated from the following:
Written exam (50%)
Assignments will be mixed single work and group work of around 3 people.
It is required to achieve at least 5.5 points on average for the assignments, AND also for the written exam in order to pass the course. The number of assignments will be around 6, typically we apply the best-of-n count, such that missing one assignment is not a problem. However, assignments are very good for preparing the exam :-)
Partial grades can be taken over from/to the last/next year in order to get the course completed, but please notify the lecturer if you plan to do that. If you have any other special needs, please do so as well. Be aware that the assignments are planned to be done as group work, it is significantly more work for you to do them alone.
The teacher will inform the students how the inspection of and follow-up discussion of the exams will take place.
Relevant literature, current information, announcements, lecture slides, assignments, and additional material can be found on blackboard.
Docent Mike Preuss
Onderwijscoördinator Informatica, Riet Derogee