BMM201 Advanced Engineering Mathematics 1

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

Information

Unit FACULTY OF ENGINEERING
BIOMEDICAL ENGINEERING PR.
Code BMM201
Name Advanced Engineering Mathematics 1
Term 2020-2021 Academic Year
Semester 3. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Uzaktan 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 differential equations andlinear algebra that are among the fundamental topics of applied mathematics

Course Content

Matrices, matrix algebra, equation systems, rank, determinant, eigenvalue. First order ordinary differential equations, separation of variables, exact differentials, integrating factors, higher order equations, methods of undetermined coefficients and variation of parameters, differential equation systems, Laplace transform

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Categorizes a given ordinary differential equation and proposes a method for its solution
LO02 Solves a first order equation
LO03 Solves a constant-coefficient, linear, higher order equation and a system of constant-coefficient linear equations
LO04 Finds the power series solution to a given linear, non-constant-coefficient equation.
LO05 Solves a linear equation using Laplace transform.


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 3
PLO02 - 1. Define the problems about Biomedical Engineering 2. Modelling the problems about Biomedical Engineering. 4
PLO03 - 1. Analyse data and interpret results 3
PLO04 - 1. Utilize modern techniques and computing tools which are essential for Engineering applications 4
PLO05 - 1. Design and analyse a defined process 2. Recognise national and international problems for Biomedical Engineering 4
PLO06 - Understand the research problems of medical doctor with engineering perspective 5
PLO07 - 1. Describe the ideas clearlywith written and verbally 2. Have the interdisciplinary teamwork skills 5
PLO08 - 1. Have knowledge on calibration and quality assurance systems in Biomedical Engineering 2. Have the sense of responsibility and professional ethics 5


Week Plan

Week Topic Preparation Methods
1 Introduction to ordinary differential equations (ODE) Review of the relevant pages from sources
2 First order ODEs, seperation of variables, physical applications. Review of the relevant pages from sources
3 First order ODEs, exact differentials Review of the relevant pages from sources
4 First order ODEs, integrating factors Review of the relevant pages from sources
5 General first order linear ODEs Review of the relevant pages from sources
6 Second order ODEs, solution of constant coefficient, homogeneous equations Review of the relevant pages from sources
7 Methods of undetermined coefficients and variation of parameters Review of the relevant pages from sources
8 Mid-Term Exam Review of the topics discussed in the lecture notes and sources
9 Higher order ODEs Review of the relevant pages from sources
10 Solution of systems of ODEs Review of the relevant pages from sources
11 Solution of systems of ODEs (continued) Review of the relevant pages from sources
12 Solution with power series. Review of the relevant pages from sources
13 Laplace transform Review of the relevant pages from sources
14 Laplace transform Review of the relevant pages from sources
15 Review Review of the topics discussed in the lecture notes and sources
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


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 10 10
Final Exam 1 16 16
Total Workload (Hour) 96
Total Workload / 25 (h) 3,84
ECTS 4 ECTS

Update Time: 07.05.2025 10:55