Course: Theoretical Evolutionary Ecology

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Course title Theoretical Evolutionary Ecology
Course code UMB/345
Organizational form of instruction Lecture
Level of course Bachelor
Year of study not specified
Frequency of the course In each academic year, in the winter semester.
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Optional
Form of instruction unspecified
Work placements unspecified
Recommended optional programme components None
Lecturer(s)
  • Boukal David, doc. Ing. MgA. Ph.D.
Course content
Content of lectures: Introduction to evolutionary ecology. Evolutionary thinking in context of population ecology. Natural selection: fitness as a function of individual properties in a given environment. Population genetics, quantitative genetics and adaptive processes. Selection, mutation and genetic drift. Finding evolutionarily stable strategies: methods of optimization, adaptive dynamics and dynamical programming. Life-history evolution. Evolution in constant and varying environments. Phenotypic plasticity and reaction norms. Evolution of behavioural traits. Mating systems and sexual selection. Models of speciation.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book)
  • Preparation for exam - 60 hours per semester
  • Class attendance - 36 hours per semester
  • Preparation for classes - 40 hours per semester
Learning outcomes
Introduction to evolutionary ecology. Basic concepts of population genetics and review of fundamental problems in theoretical evolutionary ecology. Review of mathematical techniques available in evolutionary ecology. Emphasis on mathematical formulation of evolutionary problems and their solution.
The student will be able to applu basic methods to solve problems in theoretical evolutionary ecology, including analytical and numerical simulations of equations and numerical simulations of dynamical processes. He/she will gain insight into the basic concepts of theoretical evolutionary ecology and will be able to interpret scientific papers on the subject.
Prerequisites
Basic knowledge of dynamical systems and ordinary differential/difference equations.

Assessment methods and criteria
Combined exam

To pass the course, students need to pass a combined exam consisting of a written test of theoretical knowledge and a computer code demonstrating the ability to solve a selected problem.
Recommended literature
  • Bulmer M.: Theoretical evolutionary ecology. Sinauer Associates, 1994.
  • Freeman S., Herron J. C.: Evolutionary Analysis, 4th edition. Pearson Prentice Hall, 2007.
  • Roughgarden J.: Theory of population genetics and evolutionary ecology. Prentice Hall, 1996.
  • Roff D.A. Modeling Evolution: an introduction to numerical methods. New York, 2010. ISBN 978-0-19-957114-7.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Mathematics for future teachers (1) Category: Mathematics courses - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Secondary Schools Teacher Training in Mathematics (2012) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Mathematics (2010) Category: Mathematics courses 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Mathematics for future teachers (1) Category: Mathematics courses - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Mathematics for future teachers (1) Category: Mathematics courses - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Secondary Schools Teacher Training in Mathematics (1) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Secondary Schools Teacher Training in Mathematics (1) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Mathematics for future teachers (1) Category: Mathematics courses - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Secondary Schools Teacher Training in Mathematics (1) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Zoology (1) Category: Biology courses - Recommended year of study:-, Recommended semester: Winter