MAT4060 Mathematical BiologyBahçeşehir UniversityDegree Programs MATHEMATICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MATHEMATICS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MAT4060 Mathematical Biology Spring 3 0 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator :
Recommended Optional Program Components: None
Course Objectives: This course introduces many mathematical models in biology. To use the mathematical tools like difference equations, differential equations, probability theory to model various biological phenomena, and also understand the basic analytical method based on calculus and algebra, qualitative analysis based on elementary geometry and computer aid numerical method to completely analize some basic models. These mathematical tools will be useful for life sciences major students in any quantitative and qualitative analysis in the future. Biological applications include various population growth models.


Learning Outcomes

The students who have succeeded in this course;
The students who succeeded in this course;
will be able to understand conceptual and visual representation of biological models.
will be able to understand population models and analyze them.
will be able to analyze data in biological applications.
will be able to understand dynamic systems in biology.
will be able to linearize biological nonlinear models and determine the stability.

Course Content

Biological applications of difference and differantial equations. Biological applications of nonlinear differantial equations. Stability and applications. Bifurcation and applications.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Basic definitions and notations
2) Mathematical models
3) Difference equations : Lineer, nonlinear
4) Biological Applications of Difference Equations
5) Discrete time dynamic equations: Cobwebbing method, equilibrium, and stability.
6) Discrete exponential and logistic growth.
7) Nonlinear difference equations.
8) Bifrucation theory
9) Review
10) Biological applications of differentail equations.
11) Predator-Prey models
12) Routh-Hurwitz criteria and applications.
13) Epidemic models, Genetics models.
14) Nonlinear differential equations and biologic models, periodic solution, Poincare-Bendixon Theorem.

Sources

Course Notes / Textbooks: 1-An Introduction to Mathematical Biology, Linda J.S.Allen, Pearson, 2007.

2-Mathematical Biology, J. d. Murray, Springer-Verlag, Second, corrected edition, 1993.
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Project 1 % 20
Midterms 1 % 30
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 30
PERCENTAGE OF FINAL WORK % 70
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 3 10 30
Project 1 10 10
Midterms 1 5 5
Final 1 13 13
Total Workload 100

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics 5
2) To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods, 5
3) To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials, 4
4) To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, 4
5) To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way, 4
6) To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level, 4
7) To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement, 4
8) To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense, 4
9) By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere, 4
10) To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning, 5
11) To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school, 4
12) To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively. 4