Courses: INF270 Linear Programming - Spring 2019
Level of Study
Master
Full-time/Part-time
Full-time
Language of Instruction
English
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 mailto:studieveileder@ii.uib.noStudent 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 Information
Student adviser:
mailto:studieveileder@ii.uib.nomailto:studieveileder@ii.uib.noStudent adviser
T: 55 58 42 00