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Postgraduate course

Non-Linear Optimization

  • ECTS credits10
  • Teaching semesterSpring, Autumn
  • Course codeINF272
  • Number of semesters1
  • Language

    English

  • Resources

ECTS Credits

10

Level of Study

Master/PhD

Full-time/Part-time

Full-time

Teaching semester

Irregular

Objectives and Content

The course includes the basic framework for constructing efficient methods for solving unconstrained optimization problems. Topics include line search and trust regions methods for unconstrained optimization. Topics in constrained optimization include the Karush-Kuhn-Tucker theory and basic solution techniques.

Learning Outcomes

On completion of the course INF272 the candidate will have the following learning outcomes.

The candidate

  • can explain what a continuous optimization problem is and how it can be solved.
  • can explain the mathematical theory behind the solution algorithms for continuous optimization problems..
  • can analyze the effectivity of solution methods for continuous optimization problems.

Required Previous Knowledge

At least 120 ECTS in computer science, preferably including some mathematics

Recommended Previous Knowledge

INF270, MAT112

Credit Reduction due to Course Overlap

I274: 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

Lectures / 4 hours per week

Exercises / 2 hours per week

Compulsory Assignments and Attendance

Exercises.

Compulsory assignments are valid two semesters, the semester of the approval and the following semester.

Forms of Assessment

Oral exam.

Examination Support Material

None

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.

Reading List

The reading list will be available within June 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

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 mailto:studieveileder@ii.uib.no 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.

Contact

Contact Information

Student adviser:

mailto:studieveileder@ii.uib.no Student adviser

T: 55 58 42 00

Exam information

  • Type of assessment: Oral examination

    Withdrawal deadline
    01.11.2018