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All about the principles behind programming and process control

Deep Programming

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The minor Deep Programming elaborates on important principles, different paradigms and modern developments in computer programming.

This minor elaborates on the theory and practice of programming to turn these students into highly skilled programmers and is an excellent preparation for entering a Master program in Computer Science. Systems Programming and Equational Programming are advanced courses on programming in the imperative language C and the functional language Haskell. Compiler Construction provides in-depth knowledge on building compilers for translating source code from a high-level to a lower-level programming language. Secure Programming focuses on cryptography in software development. Concurrency & Multithreading teaches foundations and programming principles for multicore computing. 

Related VU master’s programmes: 

Overview courses

  • Secure Programming

    Through a series of practical assignments the students are called to develop programs that incorporate useful features for security purposes. The students have the chance to become familiar with APIs (OpenSSL) for cryptographic operations, such as symmetric/asymmetric encryption, cryptographic hashing, cryptographic protocols, digital certificates, encrypted sockets, and SSL/TLS.

    Deep understanding of core cryptography is not needed. Basic concepts of cryptography are introduced and refreshed in the course. The focus is mostly on using cryptographic elements for software development.

  • Advanced Systems Programming

    The course covers recent advancements in networking technologies in general-purpose computing. It focuses on two main themes:

    End-host networking and network infrastructure. For the practical assignment, students will have to design, implement, and benchmark a distributed key-value using RDMA networking technology on the DAS-5 cluster.

  • Compiler Construction

    This course gives an introduction to the internals of modern compilers and allows students to gather practical, hands-on experience on building compiler components.

  • Concurrency & Multithreading

    This course provides a comprehensive presentation of the foundations and programming principles for multicore computing devices. Learning objectives are: fundamental insight into multicore computing; algorithms for multicore computing; analyzing such algorithms; concurrent data structures; multicore programming. 

  • Equational Programming

    This course provides students with basic knowledge of functional programming (using Haskell) and its foundations via lambda-calculus and equational reasoning. 

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