Modelling of Computing
Level of Study
Every spring in even numbered years. Will not be held spring 2020
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.
On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
- 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.
- masters formalisms for defining models of computing,
- can prove properties of such models.
- 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.
Required Previous Knowledge
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.
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 every semester the course is taught, and the subsequent semester.
The reading list will be available within June 1st for the autumn semester and December 1st for the spring semester.
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.
mailto:email@example.com Student adviser
T: 55 58 42 00