course-details-portlet

TMA4320

Introduction to Scientific Computation

Choose study year
Credits 7.5
Level Intermediate course, level II
Course start Spring 2022
Duration 1 semester
Examination arrangement Portfolio assessment

About

About the course

Course content

The course consists of two equal parts: theoretical and practical/computational. The theoretical part of the course introduces the participants to numerical mathematics and prepares them for the scientific computing part. The latter consists of three compulsory projects originating from physics, biophysics and mathematics. Potential topics covered by the course are methods for evaluating integrals, solving systems of differential equations, linear and non-linear equations, and interpolation.

Learning outcome

A student successfully meeting all the learning objectives of this course will be able to: (1) mathematically formulate specific problems from physics and biophysics; (2) explain and use specific numerical methods to solve these problems; (3) implement certain numerical algorithms on a computer; (4) critically assess the obtained numerical results; (5) communicate the findings in a form of a report.

Learning methods and activities

Lectures and exercises. 

Compulsory assignments

  • Exercises

Further on evaluation

There will be three compulsory projects. These will be evaluated and count towards the total grade of the portfolio assessment in the course. Letter grades are only given on the portfolio assessment in its entirety. There will be a digital exam at the end of the semester. The re-take examination (in August) may be changed from written to oral.

In the case that the student receives an F/Fail as a final grade after both ordinary and re-sit exam, then the student must retake the course in its entirety. Submitted work that counts towards the final grade will also have to be retaken. For more information about grading and evaluation. see «Teaching methods and activities».

Required previous knowledge

None.

Course materials

Will be announced at the start of the course.

Credit reductions

Course code Reduction From
MA2501 3.7 sp Autumn 2015
This course has academic overlap with the course in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Other pages about the course

Subject areas

  • Physics
  • Mathematics
  • Technological subjects

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Mathematical Sciences