Content, progress and pedagogy of the module

The module is based on knowledge achieved in the modules Real-time systems and programming languages, Data structures and algorithms, Introduction to artificial intelligence, or similar.

Learning objectives

Knowledge

• Have knowledge about the fundamental programming paradigms used in artificial intelligence and robotics such as distributed computing, object oriented, functional and logic paradigms
• Have knowledge on the application of distributed, functional, object oriented and logical paradigms in robotics and AI
• Have knowledge on the process of building compilers and interpreters
• Have knowledge on automata theory, parsing, lexical and semantic analysis and code generation

Skills

• Be able to develop distributed computing systems using libraries
• Be able to design algorithms and heuristics used in robotics and AI using the object oriented, functional or logic paradigm
• Be able to design interpreters or compilers for simple domain specific languages

Competences

• Independently be able to apply distributed computing to implement robotic systems consisting of multiple computing devices
• Independently be able to evaluate which of the programming paradigms should be used to building robotic systems and AI based applications
• Independently develop a parser, interpreter or compiler using libraries
• Have a fundamental understanding on computer languages, programming paradigms and its applications

Type of instruction

Lectures with exercises, possibly supplemented with e-learning as stated in § 17 in the BSc curriculum and §18 in the BE curriculum.

Extent and expected workload

Since it is a 5 ECTS project module, the work load is expected to be 150 hours for the student.

Exam

Exams