Software Development (5 cr)

Objective

The course offers a comprehensive toolset for software design from specification and implementation to testing and deployment in the evolving landscape of industrial automation. Modern tools and development environments are introduced and used. The course creates a solid base for subsequent topics in the degree programme such as machine learning, data analysis and artificial intelligence.

Content

• Key concepts of software design, implementation and testing in automation
• Introduction to object-oriented programming
• Modern software development environments and tools
• Source code control and management

Location and time

According to the schedule and course timetable. Changes to the initial schedule are possible. More detailed schedule will be given on the opening lecture of the course.

Materials

Guidance for the materials is given at the beginning of each section of the course.

Teaching methods

Classroom and online sessions
Laboratory exercises
Guided exercises
Individual work
Group work
Exams and tests

More specific ways of working for each section will be explained in the opening round of each section.

Employer connections

-

Exam schedules

-

International connections

-

Completion alternatives

-

Student workload

Active sessions according to the timetable.
Total workload 135 hours.

Content scheduling

-

Further information

-

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise
• has completed the learning tasks required for the course to the minimum standard
• has developed their competences in such a way that they will be able to complete their future professional studies and eventually work in the field.

Assessment criteria, good (3)

The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has completed the learning tasks of the course at a satisfactory or good level
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in learning and working life situations
• understands the importance of expertise in the field and is able to analyse their own expertise.

Assessment criteria, excellent (5)

The student
• has achieved the objectives of the course with excellent marks
• has completed the learning tasks of the course at a good or excellent level
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in learning and working life situations
• is able to analyse expertise in their field and their own development towards expertise.

Assessment methods and criteria

The performance is continuously assessed and different activities will accumulate points from the first week onward.

Points | Grade
<17 | 0
17 | 1
24 | 2
30 | 3
37 | 4
44 | 5