Real Time Programming, 7.5 credits

Learning outcomes

After finished course the student should have:

• Basic knowledge about the logical structure in embedded systems and the use of computers as a system component in industrial and commercial applications,
• Basic knowledge of software and algorithms for realtime applications,
• The ability to design, implement and analyze realtime systems.

Content

Special attention will be paid to
Theory, 4.5 credits

• Design and properties of realtime systems,
• Processes and communication,
• Scheduling and resource management,
• Development of software for realtime systems.
• Formal methods for description and analysis of realtimesystems.

Laborations, 3 credits

• Practical design, implementation and testing of software for embedded systems.

Examinations and grades

Theory, 4.5 credits (Code: A001)
Grades used are Fail (F), Sufficient (E), Satisfactory (D), Good (C), Very Good (B) or Excellent (A).

Laboratory Work, 3 credits (Code: A002)
Grades used are Fail (U) or Pass (G).

According to the Higher Education Ordinance, Chapter 6, Section 18, a grade is to be awarded on the completion of a course, unless otherwise prescribed by the university. The university may determine which grading system is to be used. The grade must be determined by a teacher specifically nominated by the university (the examiner).

In accordance with university regulations on grading systems for first and second-cycle courses and study programmes (Vice-Chancellor’s decision ORU 2018/00929), one of the following grades is to be used: fail (U), pass (G) or pass with distinction (VG). For courses included in an international master’s programme (60 or 120 credits) or offered to the university’s incoming exchange students, the A to F grading scale is to be used. The vice-chancellor, or a person appointed by them, may decide on exceptions from this provision for a specific course, if there are special grounds for doing so.

The grades used on this course are Fail (F), Sufficient (E), Satisfactory (D), Good (C), Very Good (B) or Excellent (A).

Comments on grades

As a grade for the course, the grade from A001 is given given that A002 is approved.

Modes of assessment

• Theory (code A001): Written exam
• Laboratory work (code A002): Computer lab and written assignments

The re-exam falls within eleven weeks of the regular exam.

For students with a documented disability, the university may approve applications for adapted or other modes of assessment.

For further information, see the university's local examination regulations.

Specific entry requirements

Introduction to Programming, 7.5 Credits and Data Structures and Algorithms, 7.5 Credits.

For further information, see the university's admission regulations.

Other provisions

Students who have been admitted to and registered on a course have the right to receive tuition and/or supervision for the duration of the time period specified for the particular course to which they were accepted (see, the university's admission regulations (in Swedish)). After that, the right to receive tuition and/or supervision expires.

Reading list and other learning resources

Required Reading

Dahl, Ola (latest edition)
Realtidsprogrammering
Studentlitteratur