Information Package

Master's of Biomedical Engineering without Thesis

BME501

ADVANCED ENGINEERING MATHEMATICS

Course Code
BME501
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Gain an ability to solve differantial equations.
  2. Gain an ability to apply engineering, science and mathematics knowledge.
  3. Gain an ability to identify, formulate, and solve engineering problems.
  4. Gain an ability to use the modern engineering techniques.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionLinear Differential Equations, Laplace Transform, Nonlinear Differential Equations, Vector Spaces, Matrices and Linear Equations, Fourier Methods and Partial Differential Equations, Wave Equations, Complex Variable Theory.
Course Contents
WEEK TOPICS
1st Week Ordinary Differential Equations
2nd Week Exact Differential Equations, Bernoulli equations
3rd Week High Order lineer differential equations
4th Week The Method of undetermined Coefficients, Variation of parameters
5th Week Power Series
6th Week Legendre Equations
7th Week Frobenius Method, Bessel equations
8th Week Midterm Exam
9th Week Laplace Transform
10th Week Laplace Transform
11th Week Lineer algebra
12th Week Vektör Differantial Calculus
13th Week Surface Integral
14th Week Fourier Series
Recommended or Required Reading(1)Kreyszig, Erwin, Advanced Engineering Mathematics, 9th Edition, John Wiley & Sons, 2006
(2)Greenberg, Micheal D., Advanced Engineering Mathematics, 2nd Edition, Prentice Hall, 1998
Planned Learning Activities and Teaching Methods
  • Lecture
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Quiz 1 15
Total(%) 55
Contribution of In-term Studies to Overall Grade(%) 55
Contribution of Final Examination to Overall Grade(%) 45
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 96 96
Preparation for Quiz 1 12 12
Individual or group work 1 3 3
Preparation for Final exam 1 12 12
Course hours 14 3 42
Preparation for Midterm exam 1 11 11
Laboratory (including preparation)
Final exam 1 96 96
Homework 3 12 36
Presentation (including preperation)
Project
Thesis Research
Total Work Load308
Total Work Load / 30 (h)10.26
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1
K2 X X X X
K3
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K5 X X X X
K6
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K8 X X X X