Kaisa_2012_3_photo by Veikko Somerpuro

This course focuses on how to construct and analyse mathematical models of population behavior, rigorously derived from the mechanics of the underlying processes on the level of the individuals, and the analysis of these models to obtain results relevant to the application field. Many examples are taken from ecology but provide methods that are transferable to other fields as well. Topics include mono- and bimolecular reactions, reaction networks, the principle of mass action, predator-prey models, competition models, diffusion and taxis, pattern formation, structured populations and developmental delays.

RECOMMENDED TO
Students of the master programs MAST (mathematical modeling) and LSI (biomathematics)

PREREQUISITE
Familiarity with differential equations and probability theory

FIRST LECTURE
Thursdays 5 September, time 14-16 in room CK107

FIRST EXERCISE CLASS
Thursday 12 September, time 10-12 in room C129

GENERAL TIMETABLE
Lectures on Mondays, time 14-16, room B222, Exactum Building, Kumpula Campus.
Lectures on Thursdays, time 14-16 in room CK107, Exactum Building, Kumpula Campus.
Exercises on Thursdays, time 10-12, room C129, Exactum Building, Kumpula Campus.

EXAMS
There will be two dates for the exam. You can go only to one, so you have to choose. Let me know by email (Stefan.geritz@helsinki.fi) which exam you will take. Both are written exams. Use of notes is not allowed. The dates and places are:
(1) Mon 9.12.2019 at 14:15 - 17:00 in Physicum, D104
(2) Thu 12.12.2019 at 14:15 - 17:00 in Exactum, B121
If the exam result disappoints you, we can always make an appointment for a re-exam.

Enrol

Messages

Cecilia Berardo's picture

Cecilia Berardo

Published, 14.10.2019 at 11:35

Solutions for the set of exercises E4 are now available in the section Material.

Stefan Geritz

Published, 9.10.2019 at 13:47

The exercise class of Thursday 10 October is cancelled, because the assistant Cecilia is ill.

Cecilia Berardo's picture

Cecilia Berardo

Published, 26.9.2019 at 12:27

Solutions for the sets of exercises E2 and E3 are now available in the section Material.

Cecilia Berardo's picture

Cecilia Berardo

Published, 19.9.2019 at 13:57

Solutions for the set of exercises E1 are now available in the section Material.

Stefan Geritz

Published, 9.9.2019 at 16:25

For the exercise class of Tuesday 12 September, study the lecture notes L01 and L02 and make exercises1 and 2a of the exercise set E1.

Pages

Timetable

Here is the course’s teaching schedule. Check the description for possible other schedules.

DateTimeLocation
Mon 2.9.2019
14:15 - 16:00
Thu 5.9.2019
14:15 - 16:00
Mon 9.9.2019
14:15 - 16:00
Thu 12.9.2019
14:15 - 16:00
Mon 16.9.2019
14:15 - 16:00
Thu 19.9.2019
14:15 - 16:00
Mon 23.9.2019
14:15 - 16:00
Thu 26.9.2019
14:15 - 16:00
Mon 30.9.2019
14:15 - 16:00
Thu 3.10.2019
14:15 - 16:00
Mon 7.10.2019
14:15 - 16:00
Thu 10.10.2019
14:15 - 16:00
Mon 14.10.2019
14:15 - 16:00
Thu 17.10.2019
14:15 - 16:00
Mon 28.10.2019
14:15 - 16:00
Thu 31.10.2019
14:15 - 16:00
Mon 4.11.2019
14:15 - 16:00
Thu 7.11.2019
14:15 - 16:00
Mon 11.11.2019
14:15 - 16:00
Thu 14.11.2019
14:15 - 16:00
Mon 18.11.2019
14:15 - 16:00
Thu 21.11.2019
14:15 - 16:00
Mon 25.11.2019
14:15 - 16:00
Thu 28.11.2019
14:15 - 16:00
Mon 2.12.2019
14:15 - 16:00
Thu 5.12.2019
14:15 - 16:00
Mon 9.12.2019
14:15 - 17:00
Thu 12.12.2019
14:15 - 17:00

Other teaching

05.09. - 17.10.2019 Thu 10.15-12.00
31.10. - 12.12.2019 Thu 10.15-12.00
Stefanus Geritz
Teaching language: English

Material

Tasks

Exercise class Thursday 12 September

For the exercise class of Tuesday 12 September, study the lecture notes L01 and L02 and make exercises1 and 2a of the exercise set E1.

Description

Optional course.

Master's Programme in Mathematics and Statistics is responsible for the course.

The course belongs to the Mathematics and Applied mathematics module.

The course is available to students from other degree programmes.

BSc courses on differential equations, linear algebra, probability theory

Constructing mathematical models of biological phenomena, with emphasis on the derivation of the models from the underlying processes on the level of individual behavior. Analysing the models using the qualitative theory of ordinary differential equations, multiple time-scales, and numerical methods.

Recommended time/stage of studies for completion: 1. year

Term/teaching period when the course will be offered: varying

This course focuses on how to construct and analyse mathematical models of population behavior, rigorously derived from the mechanics of the underlying processes on the level of the individuals, and the analysis of these models to obtain results relevant to the application field. Many examples are taken from ecology but provide methods that are transferable to other fields as well. Topics include mono- and bimolecular reactions, reaction networks, the principle of mass action, predator-prey models, competition models, diffusion and taxis, pattern formation, structured populations and developmental delays.

Lectures and exercise classes

Exam and excercises, Course will be graded with grades 1-5

Exam, other methods will be described later