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ISTANBUL AYDIN UNIVERSITY
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Mathematics and Computer Science
CLASS
1
TURKISH LANGUAGE-I
ATATÜRK'S PRINCIPLES AND REVOLUTION HISTORY-I
ENGLISH-I
ENGLISH-II
TURKISH LANGUAGE-II
CALCULUS -II
ANALYTIC GEOMETRY
ADVANCED PROGRAMMING
SOCIAL RESPONSIBILITY AND ETHICS
MATHEMATICAL PHYSICS-II
ATATÜRK'S PRINCIPLES AND REVOLUTION HISTORY-II
CLASS
2
ADVANCED CALCULUS-I
PROBABILITY AND STATISTICS
DIFFERENTIAL EQUATIONS-I
VISUAL PROGRAMMING
FILE STRUCTURE AND ORGANIZATION
ADVANCED CALCULUS-II
DIFFERENTIAL EQUATIONS -II
DISCRETE MATHEMATICS
OBJECTIVE PROGRAMMING
SURVEY ANALYSIS
CLASS
3
PSYCHOLOGY AND SOCIAL SCIENCES
BIOMATHEMATICS
WORK PLACEMENT I
WORK PLACEMENT-II
LANGUAGE AND SOCIETY
ABSTRACT ALGEBRA
SYSTEM ANALYSIS
NUMERICAL ANALYSIS-II
MATLAB AND MAPLE
COMPLEX ANALYSIS
CLASS
4
CYBER PSYCHOLOGY
SOCIAL STRUCTIFICATION
LANGUAGE AND SOCIETY
FUZZY LOGIC
COMPARATIVE LITERATURE
WORK PLACEMENT III
ENTREPRENEURSHIP
INTEGRAL EQUATIONS
REAL ANALYSIS
INTRODUCTION TO CODING THEORY
SOCIAL MEDIA,ADVERTISING AND BRAND
STRATEGIC COMMUNICATION AND SOCIAL NETWORKS
FUNCTIONAL ANALYSIS
OPTIMIZATION
FOOD AND HEALTH
INTRODUCTION TO CRYPTOGRAPHY
C++ PROGRAMMING
ECONOMIC SOCIOLOGY
ANNOUNCING BROADCAST NEWS AND DICTION
PHOTOGRAPHIC INTERPRETATION
DIFFERENCE EQUATION
DESIGN FOR EVERYBODY
INTERPERSONAL COMMUNICATION
GENERAL TOPOLOGY
CONSUMER LAW
EUROPEAN PALACE GARDENS
WOMEN AND EXERCISE
Lesson plan
/ BIOMATHEMATICS
Course Information
Purpose and Content
Weekly Course Subjects
Resources
Lesson Information
Course Credit
3.0
Course ECTS Credit
6.0
Teaching Language of Instruction
Türkçe
Level of Course
Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course
Programme Elective
Mode of Delivery
Face-to-face
Does the course require compulsory or optional work experience?
S
Course Coordinator
Instructor (s)
Course Assistant
Prof. Dr. İSMAİL TOK
Purpose and Content
The aim of the course
The aim of this course is to give the biological applications of the difference and differential equations.
Course Content
This course covers the application of Differential and Difference Equations in Biology, Application of Nonlinear Differential Equations in Biology, Application of Graph Theory in Biology
Learning Outcomes
Have advanced theoretical and practical knowledge in mathematics and computer science.
Gain an in-depth knowledge on Computer Science including computer programming, word processing, database functions, accessing the internet and softwares.
Possess the knowledge of advanced research methods in mathematics-computer field.
Possess theoretical and practical knowledge in mathematics, computation and computer science.
Define computer programming, word processing, data functions, internete access and software programs.
Describe advanced research methods in the field of Mathematics-Computer Science.
Evaluate and interpret data using the knowledge and skills gained in the fields of mathematics and computer science.
Identify, define and analyze problems in the fields of mathematics and computer science; develop solutions based on research and evidence.
Identify, define and model mathematics, computation and computer science problems; select and apply appropriate analysis and modeling methods for this purpose.
Design and apply interactive experimental environments to get the definitions and first solutions of the problems of computer science and computer science and evaluate these environments.
Having the discipline of mathematics, understand the operating logic of the computer and gain the ability to think based on account.
Perform all phases of life cycle in computer based systems.
Work effectively as an individual and as a team member to solve problems in the areas of mathematics and computer science.
Have the ability to act independently, use initiative and creativity.
Work effectively either individually or in multidisciplinary teams.
Evaluate advanced knowledge and skills in the field with a critical approach.
Follow current developments about the awareness of the necessity of continuous professional development and information and communication technologies.
Have the consciousness of the necessity of lifelong learning and continuously develop professional knowledge and skills.
Use the time effectively in the process of getting the conclusion with analytical thinking ability.
Have at least one foreign language knowledge and the ability to communicate effectively in Turkish, verbally and in writing.
Be aware of the effects of information applications on individual, institutional, social and universal dimensions and have the awareness about entrepreneurship, innovation.
Have the awareness of professional and ethical responsibility and legal consequences of information applications
Use the knowledge about the field for the benefit to society.
Weekly Course Subjects
1
Functions and mathematical modeling: linear models: mRNA ratio.
2
Quadratic models: Epidemics.
3
Rational and Allometric models: Enzyme kinetics, drug concentration, Average AIDS cases
4
Discrete-time dynamical systems: Equilibrium, and stability, drug concentration.
5
Biological applications of difference equations.
6
Biological applications of difference equations.
7
Discrete exponential and logistic growth: Growth of fungal cells and spreading of the disease.
8
Biological applications of differential equations : Patients single population
9
Biological applications of differential equations : Patients single populationMidterm Exam.
10
Predator prey models,Race models
11
Epidemic disease models, genetic epidemic disease models
12
Petri nets
13
Stochastic Petri Nets.
14
Biological applications of Petri nets.
Resources
1- Linda J.S.Allen,Pearson, An Introduction to Mathematical Biology, 2007.
2- Raina Stefanova Robeva, James R. Kirkwood, Robin Lee Davies, Leon Farhy, Boris P. Kovatchev,An Invitation to Biomathematics , Academic Press, 2007.
