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Third-Cycle Courses

Faculty of Engineering | Lund University

Details for Course FMAN01F Biomathematics

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General
  • FMAN01F
  • Temporary
Course Name
  • Biomathematics
Course Extent
  • 7.5
Type of Instruction
  • Course given jointly for second and third cycle
Administrative Information
  • 7151 (Centre of Mathematical Sciences / Mathematics)
  •  -01-27
  • FN1/Anders Gustafsson

Current Established Course Syllabus

General
  • English
  • Every other spring semester
Aim
  • The course is established in order to introduce doctoral students to the usage of mathematical models for biological problems. Important applications where mathematical models are useful are e.g. within population dynamics, spreading of contageous diseases and midication.

    A further aim is to prepare the student for further studies in e.g. biological systems or evolution biology.
Contents
  • Population growth. Non-linear difference equations. Evolution dynamics. Continuous models. Phase plane methods. Molecule dynamics. The cell cycle. Limit cycles, oscillations and excitable systems. Modelling of diffusion. PDE-models. Pattern formation.
Knowledge and Understanding
  • For a passing grade the doctoral student must
  • be able to present clearly and independently use basic mathematical concepts in biology, in particular regarding cell modelling, evolution dynamics and diffusion phenomena.

    be able to present and give an informal explanation of the mathematical theory behind some central biological models, such as non-linear difference equations, non-linear differential equations and reaction-diffusion equations.
Competences and Skills
  • For a passing grade the doctoral student must
  • be able to use computer packages to simulate solutions of biological problems.

    be able to show good capability to independently identify biological problems which can be solved with mathematical modelling, and be able to choose an appropriate method.

    be able to independently apply basic modelling to biological problems which are relevant in industrial applications and research.

    with proper terminology, in a well structured way and with clear logic be able to explain the solution to a biological modelling problem.
Judgement and Approach
  • For a passing grade the doctoral student must
Types of Instruction
  • Lectures
  • Laboratory exercises
Examination Formats
  • Written exam
  • Oral exam
  • Written assignments
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
Selection Criteria
Literature
  • Edelstein-Keshet, L.: Mathematical Models in Biology. McGraw-Hill College, 1988. ISBN 9780075549505.
Further Information
Course code
  • FMAN01F
Administrative Information
  •  -01-27
  • FN1/Anders Gustafsson

All Established Course Syllabi

1 course syllabus.

Valid from First hand in Second hand in Established
Autumn 2013 2013‑10‑11 17:44:34 2014‑01‑20 13:07:29 2014‑01‑27

Current or Upcoming Published Course Occasion

No matching course occasion was found.

All Published Course Occasions

No matching course occasions were found.

0 course occasions.


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