IN5270 – Numerical methods for partial differential equations
Changes in the course due to coronavirus
Autumn 2020 we plan for teaching and examinations to be conducted as described in the course description and on semester pages. However, changes may occur due to the corona situation. You will receive notifications about any changes at the semester page and/or in Canvas.
Spring 2020: Teaching and examinations was digitilized. See changes and common guidelines for exams at the MN faculty spring 2020.
The course provides a thorough introduction to design, analysis (both theoretical and empirical), and programming of difference and elemental methods to solve differential equations. In addition, the subject also includes verification and software testing for these numerical methods.
After completing this course:
- you´ll know some of the most common differential equations.
- you´ll have mastered the basic steps in constructing and applying the difference and element methods to simple representative examples of differential equations.
- you´ll have good knowledge of programming techniques for implementing difference and element methods in simple 1D cases and for the use of selected software in simple 2D and 3D cases.
- you´ll have basic knowledge of theoretical and empirical analysis of the difference and elemental methods for accuracy and stability.
- you´ll have good knowledge of verification and software testing of the difference and elemental methods.
Admission to the course
Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.
Recommended previous knowledge
- 10 credits overlap with INF5620 – Numerical methods for partial differential equations (continued).
- 10 credits overlap with INF9620 – Numerical methods for partial differential equations (continued).
- 10 credits overlap with IN9270 – Numerical methods for partial differential equations.
- 9 credits overlap with IN-NMFPD.
2 hours of lectures per week.
2 hours of group exercises per week. Combination of two types of group exercises:
- Non-compulsory exercises that is reviewed by group teachers
- Small mandatory calculation or programming exercises that the students must deliver in advance, which are reviewed by the students themselves in small groups under the supervision of a group teacher
The course has two major mandatory projects.
Each student must pass both major projects, plus at least 3 of the small compulsory exercises. (All compulsory projects and exercises must be passed in the same semester.)
Previously passed projects and exercises are valid for 2 years.
Oral or written exam depending on the number of students. Both major mandatory projects plus at least 3 of the small compulsory exercises must be passed before the exam. All compulsory projects and exercises must be passed in the same semester.
It will also be counted as one of your three attempts to sit the exam for this course, if you sit the exam for one of the following courses: INF5620 – Numerical methods for partial differential equations (continued), INF9620 – Numerical methods for partial differential equations (continued), IN9270 – Numerical methods for partial differential equations, IN-NMFPD
Examination support material
Language of examination
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester. Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.