Level of Study
Objectives and Content
The course introduces principles for programming secure, reliable and robust software in a multi-threaded or multi-process environment.
Concurrent programming techniques are particularly central to the course, but related techniques such as event-driven programming may also be covered. The course combines a strong theoretical foundation with practical exercises.
- knows common models for concurrency (software and data structures), such as shared memory, message-passing, actors, futures, and data-parallelism primitives,
- can explain the potential run-time problems arising from the concurrent operation of many separate tasks,
- can prove the most important synchronisation protocols.
- can write correct concurrent programs using appropriate programming models,
- can use synchronisation primitives in appropriate ways,
- can model a concurrent process using a formal method, and
- can use tools for analysis and verification of concurrent processes.
- can solve a varied set of problems using concurrency,
- can communicate independent work and masters language and terminology of the academic field, and
- can communicate with concurrency specialists about academic issues, analyses and conclusions in the field.
Required Previous Knowledge
At least 60 ECTS in computer science, preferably including some mathematics
Credit Reduction due to Course Overlap
Access to the Course
Access to the course requires admission to a programme of study at The Faculty of Mathematics and Natural Sciences
Teaching and learning methods
Lectures: up to 4 hours per week in 13 weeks, a total of about 40 hours.
Exercise class: 2 hours per week for.
In addition, exercises and self-studies, for a total of 270 study hours.
Compulsory Assignments and Attendance
The compulsory exercises have to be passed.
Compulsory assignments are valid for two subsequent semesters.
Forms of Assessment
Written exam (3 hours). The exam may be digital (using a computer), with a tool that handles text, the relevant programming and formal notation, and the analysis and verification tools used in the course. The results from the compulsory exercises may be part of the final grade. If there are fewer than 20 participants, then the exam may be oral.
Examination Support Material
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
Examination both spring semester and autumn semester. In semesters without teaching the examination will be arranged at the beginning of the semester.
Students who have been admitted to a program of study at the University of Bergen that includes access to this course are eligible to register. For information about admission requirements see Admission.
The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department.
The Programme Committee is responsible for the content, structure and quality of the study programme and courses.
Course coordinator and administrative contact person can be found on Mitt UiB, or contact Student adviser
The Faculty of Mathematics and Natural Sciences represented by the Department of Informatics is the course administrator for the course and study programme.
T: 55 58 42 00