IKT445 Generative programming

The course is connected to the following study programs

• Artificial Intelligence and The Internet of Things, Master's Programme
• Artificial Intelligence, 5-year master programme

Teaching language

English

Course contents

• Model-driven development and Language descriptions

• Tools for language development

• Handling of structural, syntax and semantic language aspects

• Code generator theory and application

• Grammars, languages and automata

Learning outcomes

On successful completion of the course, the student should:

• know the concepts and terms of language description and use them correctly in arguments

• be able to apply best practice of compilers and language processing

• be able to design code generation from high-level descriptions

• be able to analyse and design high-level language descriptions capturing all language aspects

• be able to translate between languages, grammars and automata

Teaching methods

Lectures, blackboard exercises, laboratory exercises, and self study. Some of the assignments will be compulsory.

Evaluation

The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.

Offered as Single Standing Module

Yes. Subject to availability or capacity.

Admission Requirement if given as Single Standing Module

Admission requirements are the same as for the master programme in Information and Communication Technology, the Information Technologies profile.

Assessment methods and criteria

Portfolio. Graded assessment. Information about the content of the portfolio will be given in Canvas by the start of the semester.

Reduction of Credits

This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:

Course	Reduction of Credits
IKT415 – Generative programming	5