Project in Automated Software Engineering
4.0 ECTS creditsThe course covers concepts and techniques of automatisation in software engineering in relation to an authentic scenario.
The course covers the following:
- implementation of optimisation techniques, heuristics and metaheuristics, and machine learning
- data collection aimed at the automatisation of software engineering activities
- techniques for evaluating the above, and
- the reporting of results of the evaluation
The course includes a number of lectures and workshops and projects completed in groups.
The course covers the following:
- implementation of optimisation techniques, heuristics and metaheuristics, and machine learning
- data collection aimed at the automatisation of software engineering activities
- techniques for evaluating the above, and
- the reporting of results of the evaluation
The course includes a number of lectures and workshops and projects completed in groups.
Progressive specialisation:
A1N (has only first鈥恈ycle course/s as entry requirements)
Education level:
Master's level
Admission requirements
Upper secondary level English 6 and 60 ECTS credits in Computer Science (including 15 ECTS credits in software engineering and program development methodology), or three years of professional experience in the information technology sector, or equivalent
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.
This course is included in the following programme
- Master of Science in Industrial Engineering and Management (studied during year 4)
More information
- Start Spring 2025
- Mode of study Distance
- Language English
- Course code DVAD81
- Application code KAU-46027
- Study pace 10% (Day)
- Study period week 4鈥23
- Schedule
- Introductory Information
- Reading list