# BMB539: Applications of mathematics in life sciences

## Comment

## Entry requirements

## Academic preconditions

Students taking the course are expected to:

- Have knowledge of basic calculus corresponding to the course Mathematics for BMB, Biomedicine and Chemistry.

## Course introduction

The course builds on the knowledge acquired in the course Mathematics for BMB, Biomedicine and Chemistry. It gives an academic basis for applying mathematics to describe physical, chemical and biological phenomena.

In relation to the competence profile of the degree it is the explicit focus of the course to enable the student to analyze relevant problems related to physical, chemical and biological phenomena with a mathematical approach and to perform calculations on typical mathematical problems related to life sciences.

## Expected learning outcome

The learning objective of the course is that the student demonstrates the ability to:

- Use mathematics to describe and solve typical mathematical problems in life sciences.
- Gain an overview and understanding of the basic concepts of the mathematical methods used in life sciences.

## Content

- Calculations and analysis of mathematical functions relevant to life sciences.
- Descriptive statistics
- Visual display of data
- Linear regression
- Biological applications of derivatives
- Rates of change
- Thermodynamics
- Applications of integration.
- Thermodynamics
- Poiseuille’s Law: Blood flow
- Differential equations
- Enzyme kinetics
- Chemical reactions
- Linear algebra including vectors, matrices, solution linear systems of equations, determinants, eigenvalues and eigenvectors.
- Numerical methods (interpolation, numerical integration, minimization), and their applications in life sciences

## Literature

## Examination regulations

## Exam element a)

## Timing

## Tests

## Project reports

## EKA

## Assessment

## Grading

## Identification

## Language

## Examination aids

To be announced during the course

## ECTS value

## Exam element b)

## Timing

## Tests

## Written exam

## EKA

## Assessment

## Grading

## Identification

## Language

## Duration

## Examination aids

All common aids are allowed e.g. books, notes, computer programmes which do not use internet etc.

Internet is not allowed during the exam. However, you may visit the course site in itslearning to fill in the MCQ test. If you wish to use course materials from itslearning, you must download the materials to your computer the day before the exam. During the exam you cannot be sure that all course materials is accessible in itslearning.

## ECTS value

## Indicative number of lessons

## Teaching Method

The intro phase consists of lectures which provide an introduction to

the course. Students are expected to independently read prescribed text

(the text book) to achieve the expected competencies and necessary

overview. The skills training phase deals with the central parts of the

course using theoretical and computer based exercises. The tutorials are

based on prior independent work or, if wanted, self-organized group

work. The training phase also includes Computer based lab exercises in

which students work together in groups. The study phase is partly

preparation for the intro lectures, tutorials and laboratory exercises

as well as preparation of laboratory reports and exam preparation

(repetition).

- Work with the material from the book
- Problem solving
- Mini project

## Teacher responsible

Name | Department | |
---|---|---|

Jonathan R. Brewer | brewer@memphys.sdu.dk | Institut for Biokemi og Molekylær Biologi |

## Additional teachers

Name | Department | City | |
---|---|---|---|

Kristian Debrabant | debrabant@imada.sdu.dk | Computational Science | |

Veit Schwämmle | veits@bmb.sdu.dk | Institut for Biokemi og Molekylær Biologi |