Kaisa_2012_3_photo by Veikko Somerpuro

A practical introduction to mathematical concepts and methods applied in the life sciences.

We learn mathematics through solving problems of biological interest, with emphasis on applicable skills and hands-on experience.

The full course consists of four parts (each can be taken separately):

(1) Fundamentals (construction of simple models and basic calculus)
(2) Probability (handling stochastic phenomena, groundwork for statistics)
(3) Vectors and matrices (applied to population dynamics, quantitative genetics and statistics)
(4) Dynamic models (techniques to analyse models of population growth, reaction kinetics, etc.)

Parts 1 & 2 are given in the fall semester, parts 3 & 4 in spring. Each part takes one study period (seven weeks), 2 h interactive lectures and 2 h exercises per week.

The course is specifically tailored for biology students and assumes no background in mathematics. All you need is to use Excel or any other software capable of simple calculations and plotting. Both undergraduates and graduate students are welcome.

Enrol
14.8.2017 at 12:00 - 20.10.2017 at 23:59

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Eva Kisdi's picture

Eva Kisdi

Published, 8.9.2017 at 18:23

The first set of homework exercises is posted under "Material"

Timetable

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

DateTimeLocation
Thu 7.9.2017
08:15 - 09:45
Fri 8.9.2017
08:15 - 09:45
Thu 14.9.2017
08:15 - 09:45
Fri 15.9.2017
08:15 - 09:45
Thu 21.9.2017
08:15 - 09:45
Fri 22.9.2017
08:15 - 09:45
Thu 28.9.2017
08:15 - 09:45
Fri 29.9.2017
08:15 - 09:45
Thu 5.10.2017
08:15 - 09:45
Fri 6.10.2017
08:15 - 09:45
Thu 12.10.2017
08:15 - 09:45
Fri 13.10.2017
08:15 - 09:45
Thu 19.10.2017
08:15 - 09:45
Fri 20.10.2017
08:15 - 09:45
Thu 9.11.2017
12:15 - 13:45

Material

Last update: lecture notes 10 August, homework problems 13 October (added a new exercise)

Weekly homework assignments from the file "homework problems and solutions". Exercises marked with *: write down the solution as carefully as in an exam. This will be read by a fellow student. The marked exercises are not more difficult than the others.

Set 1: # 2, 3, 4, 5* discussed on 15 September
Set 2: # 7, 8, 9*, 11 discussed on 22 September
Set 3: # 12, 14, 15, 16 discussed on 29 September
Set 4: # 18, 19, 20* discussed on 6 October
Set 5: # 21, 22*, 23 and the second exercise on p 45 of the lecture notes, discussed on 13 October
Set 6: # 25*, 27, 29, 30 discussed on 20 October (#29 is a new exercise, download the pdf again. 30(c) optional.)

Other

Conduct of the course

Homework exercises: see the weekly assignments under Material.

Exam: problem-solving (in writing), the problems are similar to the homework exercises. Everything may be used (books, notes, etc) but may not be shared during the exam. There is no need for laptops; nevertheless laptops can be used if so desired, but the internet connection must be switched off (download necessary files in advance). Exercise class activity decides marginal grades. This part of the course gives 3 credits (3 op)

Exam time and place (choose one):
3 November (Fri) 10.15-12.00, BK1 3108
9 November (Thu) 12.15-14.00, BK1 3107

Description

none

Construction and analysis of simple mathematical models to understand biological phenomena; basic calculus

Period I of the academic year 2017-2018. If attendance is satisfactory, offered in period I every other year (2019 etc)

A highly practical introduction to mathematical concepts and methods applied in the life sciences. We learn mathematics through solving problems of biological interest, with emphasis on applicable skills and hands-on experience. The course is specifically tailored for biology students and assumes no background in mathematics. Part 1 contains the fundamentals of mathematical modelling: construction of simple models and basic calculus.

Contact teaching; exercise classes; completion by written exam

Lecture notes (provided during the course)

0-5, exam only

Teaching in English

Eva Kisdi

Replaces the former course 57381 Mathematical methods in biology, part 1 3 cr.