Mathematical Methods for Computer Science

This course will introduce functions of one real variable, exponential, logarithm and trigonometric functions, differentiation and integration with applications. In addition we will introduce methods for solving linear equations and basic matrix algebra. This will enable us to discuss some applications of linear algebra in computer science.

1. Knowledge. The student has basic knowledge of linear algebra and mathematical analysis of functions of a single real variable.

2. Skills. The student is able to apply basic one-dimensional mathematical analysis and linear algebra as a tool in practical problem solving in computer science.

Lectures, compulsory exercises and mid-semester examination.
Portfolio assessment is the basis for the grade awarded in the course. This portfolio comprises a written final examination 80% and the semester assignment 20%. The mid-semester examination only counts if it has a positive effect on the final grade. The results for the
constituent parts are to be given in %-points, while the grade for the whole portfolio (course grade) is given by the letter grading system. Retake of examination may be given as an oral examination.