Information Package

Master's of Defence Electronics and Software with Thesis

SEY501

ENGINEERING MATHEMATICS

Course Code
SEY501
Semester
First Term (Fall)
Theory+Practice
3 + 0
ECTS
10
Course TypeCompulsory Course
Course LevelMaster's Degree With Thesis
Year of Study1
SemesterFirst Term (Fall)
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. An ability of numerical solution of ordinary and partial differential equations in the engineering problems
  2. An ability to apply knowledge of mathematics, science, and engineering
  3. An ability to identify, formulate, and solve engineering problems
  4. An ability to use the modern engineering techniques
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionSystems of linear equations, linear vector spaces, matrices and eigenvalue problems, multivariable differential calculations; ordinary differential equations, vectors in R3 space, vector field theory, Fourier series, integral transformations. Variational calculations.
Course Contents
WEEK TOPICS
1st Week Matrices, Operations on Matrices, Inverse Matrices
2nd Week Determinants, Vectors
3rd Week Gauss Elimination Method, Cramer?s Rule, Eigen Values, Eigen Vectors
4th Week Similar Matrices, Diagonalization, Ordinary differential equations
5th Week Ordinary differential equations
6th Week Maclaurin and Taylor series, power series solutions of ordinary differential equations
7th Week Bessel?s equation and Bessel?s Functions
8th Week EXAM WEEK
9th Week Integral transformations; Laplace, Fourier, Hankel, Mellin Transformations.
10th Week Integral transformations; Laplace, Fourier, Hankel, Mellin Transformations.
11th Week Fourier Series
12th Week Complex numbers, Complex valued functions, Analytic functions, Cauchy-Riemann Equations
13th Week An introduction to partial differential equations; the method of separation of variables.
14th Week Variational Calculus, optimization.
15th Week
16th Week
Recommended or Required ReadingErwin Kreyszig, Advanced Engineering Mathematics, 10th Ed.
Peter V. O?Neil, Advanced Engineering Mathematics
Planned Learning Activities and Teaching Methods
  • Questions/Answers
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 1 30
Other 1 40
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work 14 3 42
Preparation for Final exam 1 78 78
Course hours 14 3 42
Preparation for Midterm exam 1 78 78
Laboratory (including preparation)
Final exam 1 2 2
Homework 1 60 60
Total Work Load304
Total Work Load / 30 (h)10.13
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1
K2 X X X X
K3 X X X X
K4
K5
K6
K7
K8
K9
K10
K11