Computer programming is the activity of specifying what computers do, and programming languages are the main tool to achieve that. This course offers a kaleidoscopic view on the many concepts of programming languages, focusing on object-oriented programming and functional programming. Some concepts will be merely introduced, thereby providing an overview of directions for further study.
This course comprises both theoretical and practical aspects of programming languages. Theoretical topics include: methods to describe language syntax, denotational and operational semantics, the lambda calculus, parameter passing mechanisms, variable binding, types and type systems, polymorphism, higher-order functions, object-orientation and generics, concurrency, and theorem proving. Practical topics include: lexical analysis and parsing of strings, advanced imperative and object-oriented programming, and basic functional programming.
Having followed the courses Foundations of Computer Science (4031FDCS6), Introduction to Logic (4031ILOGI) and Programming Techniques (4031PRGTE) is highly recommended, but not mandatory. Basic programming ability (e.g. in 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.
The main goal of the course is to provide insights into why there is a need for high-level programming languages, the relationship between concepts of programming languages, and practice with how they are implemented. This enables the student to learn new programming languages (or related techniques employed in the programming context) faster, and make more informed decisions about what to use when.
At the end of the course the student has acquired:
basic knowledge of programming language theory
practical experience with advanced imperative and object-oriented programming features (such as designing class hierarchies and defining and using abstract data types)
practical experience with basic functional programming concepts (such as algebraic data types and recursion)
basic knowledge of operational and denotational programming language semantics (needed for an advanced course in program correctness and computational models)
hands-on experience with implementing the (simply typed) lambda calculus, type checking and type inference (needed for an advanced course in type theory)
basic knowledge of distributed and concurrent programming (needed for an advanced course in concurrency and computer networks)
basic knowledge of automated and interactive theorem proving (needed for an advanced course in logical verification)
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Mode of instruction
Lectures are digital and pre-recorded, 2 hours per week.
Exercise classes (theory), 2 hours per week.
Lab sessions (practice), 2 hours per week.
Both exercise classes and lab sessions are organized on location.
For lab sessions, students are expected to bring their own device.
Self study and 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 in groups of a maximum of 3 people. The number of assignments will be around 4. 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 teacher will inform the students how the inspection of and follow-up discussion of the exams will take place.
The lecturer provides students with relevant pointers to literature, some of which is open access. A selection of snippets from closed access books and articles will be provided by the lecturer for a more detailed study of the programming concepts introduced. A list of recommended (but optional) books is also provided.
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Docent Hans-Dieter Hiep
Onderwijscoördinator Informatica, Riet Derogee