BMS323 Mathematical Modelling in Biomedical Engineering

5 ECTS - 3-0 Duration (T+A)- 5. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
BIOMEDICAL ENGINEERING PR.
Code BMS323
Name Mathematical Modelling in Biomedical Engineering
Term 2017-2018 Academic Year
Semester 5. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MUSTAFA KEREM ÜN
Course Instructor Prof. Dr. MUSTAFA KEREM ÜN (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

To teach the student partial differential equations and complex analysis that are among the fundamental topics of applied mathematics

Course Content

Applications of regression models, difference and ordinary-partial differential equations in biomedical field.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Performs linear and nonlinear regression involving one or more variables
LO02 Analyzes difference equations modelling populations
LO03 Recognizes differential equations or systems thereof, modelling such phenomena as population or substance interaction and proposes solution methods for these


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - 1. Solve the scientific problems encountered in medicine and medical technologies by applying technical approaches of disciplines. 2. Self development on science and technology issues. 3. Assess the contributions of engineering solutions on medicine, medical technologies and healthcare
PLO02 - 1. Define the problems about Biomedical Engineering 2. Modelling the problems about Biomedical Engineering.
PLO03 - 1. Analyse data and interpret results
PLO04 - 1. Utilize modern techniques and computing tools which are essential for Engineering applications
PLO05 - 1. Design and analyse a defined process 2. Recognise national and international problems for Biomedical Engineering
PLO06 - Understand the research problems of medical doctor with engineering perspective
PLO07 - 1. Describe the ideas clearlywith written and verbally 2. Have the interdisciplinary teamwork skills
PLO08 - 1. Have knowledge on calibration and quality assurance systems in Biomedical Engineering 2. Have the sense of responsibility and professional ethics


Week Plan

Week Topic Preparation Methods
1 Introduction to the class Reading lecture materials
2 Fundamentals of mathematical modelling Reading lecture materials
3 Fundamentals of mathematical modelling Reading lecture materials
4 Fundamentals of rgression, least squares method Reading lecture materials
5 Linear regression with one and more variable, biomedical applications Reading lecture materials
6 Nonlinear regression with one and more variable, biomedical applications Reading lecture materials
7 Difference equations, application to populations Reading lecture materials
8 Mid-Term Exam Reading lecture materials
9 Differential equations, applications to populations, Verhulst and similar equations Reading lecture materials
10 Population models with harvesting, equilibrium, biological applications Reading lecture materials
11 Systems of equations, Lotka-Volterra and other predator-prey models Reading lecture materials
12 Models for metabolic processes, Hodgkin-Huxley and similar models Reading lecture materials
13 Partial differential equations, diffusion models Reading lecture materials
14 Tissue growth and similar models Reading lecture materials
15 Final exam Reading lecture materials
16 Term Exams Review of the entire course material, solving exercise questions
17 Term Exams Review of the entire course material, solving exercise questions


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100

Update Time: 23.01.2018 02:31