Modelling of Computing

Postgraduate course

Course description

Objectives and Content


Give the student insight in models that form the basis for computing.


An overview is given of methods for generating and recognising formal languages (grammars, automata, Turing machines) and their relation to computation is explained.

Learning Outcomes

On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:



The student

  • can the definitions of formal models for languages, automata and Turing machines,
  • knows the most important theorems and proofs relating these,
  • knows the relationships of the models according to their expressive power, and
  • knows problems computers never will be able to solve.



The student

  • masters formalisms for defining models of computing,
  • can prove properties of such models.


General competence

The student

  • can solve a varied set of problems within the field,
  • can communicate independent work and masters language and terminology of the academic field, and
  • can communicate about academic issues, analyses and conclusions in the field, both with specialists and the general public.

ECTS Credits


Level of Study


Semester of Instruction

Required Previous Knowledge
For incoming exchange students: At least 60 ECTS in Computer Science and at least 10 ECTS in mathematics.
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
I210: 10 ECTS
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
Up to 6 hours each week in 13 weeks with lectures and exercise class. In addition exercises and self studies, for a total of 270 study hours.
Compulsory Assignments and Attendance

The compulsory assignments have to be passed.

The assignments are valid two semesters: the semester when they are approved and the succeeding semester.

Forms of Assessment
Oral exam. Compulsory activities can count towards final grad.
Grading Scale
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
Assessment Semester
Examination every semester the course is taught, and the subsequent semester.
Reading List
The reading list will be available within July 1st for the autumn semester and December 1st for the spring semester.
Course Evaluation
The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department.
Examination Support Material
Programme Committee
The Programme Committee is responsible for the content, structure and quality of the study programme and courses.
Course Coordinator
Course coordinator and administrative contact person can be found on Mitt UiB, or contact Student adviser
Course Administrator
The Faculty of Mathematics and Natural Sciences represented by the Department of Informatics is the course administrator for the course and study programme.