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Education

Postgraduate course

Linear Programming

  • ECTS credits10
  • Teaching semesterAutumn
  • Course codeINF270
  • Number of semesters1
  • Language

    English

  • Resources

ECTS Credits

10

Level of Study

Master

Full-time/Part-time

Full-time

Teaching semester

Autumn

Objectives and Content

The course contains solution methods for linear optimization models. Topics that are covered include the simplex method and the interior point methods for linear programming, network algorithms, duality theory and sensitivity analysis.

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 candidate

  • can explain what a linear optimization problem is and how it can be solved.
  • can explain the mathematical theory behind the solution methods.
  • can analyze solutions to a linear optimization problem.

Required Previous Knowledge

At least 60 ECTS in Computer Science and at least 10 ECTS in mathematics.
Recommended mathematics: Calculus I and II and linear algebra.

Recommended Previous Knowledge

INF101 (Program Development Methodologies), MNF130 (Discrete Structures), MAT121 (Linear Algebra) and MAT160 (Scientific computing I).

Credit Reduction due to Course Overlap

I172: 10 SP

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
Group exercises, two 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

3 hours written exam.
Compulsory exercises may count towards the final grade.

Examination Support Material

The textbook used in this course can also be used during the exam.

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 both spring semester and autumn semester. In semesters without teaching the examination will be arranged at the beginning of the semester.

Reading List

The reading list will be available within June 1st for the autumn semester and January 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 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

  • For written exams, please note that the start time may change from 09:00 to 15:00 or vice versa until 14 days prior to the exam. The exam location will be published 14 days prior to the exam. Candidates must check their room allocation on Studentweb 3 days prior to the exam.

  • Type of assessment: Written examination

    Date
    11.02.2019, 09:00
    Duration
    3 hours
    Withdrawal deadline
    28.01.2019