MCHT621 Advanced Topics in Engineering Mathematics Istanbul Okan UniversityDegree Programs PhD in Mechatronic Engineering (English) with a master's degreeGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
PhD in Mechatronic Engineering (English) with a master's degree
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

General course introduction information

Course Code: MCHT621
Course Name: Advanced Topics in Engineering Mathematics
Course Semester: Fall
Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 10
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Department Elective
Course Level:
PhD TR-NQF-HE:8. Master`s Degree QF-EHEA:Third Cycle EQF-LLL:8. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. ÖMER CİHAN KIVANÇ
Course Lecturer(s): Prof. Dr. SEZGİN SEZER
Course Assistants:

Course Objective and Content

Course Objectives: The objective of this course is to give basic and advanced Mathematic information.
Course Content: Calculation of differential and integration of vectors: Vector algebra , gradient, divergent, curl, line integral, Green’s Theorem , The Divergence theorem, Stokes’s theorem. Linear Vector Spaces: Linear Vector Space, Linear operators, vector space of finite dimension, matrix algebra, similarity transforms, eigenvectors and eigenfunctions of matrix, Orthogonal functions: Functions space, orthogonal polynomials, Legendre polynomials, spherical harmonics, Hermite polynomials, Laguerre polynomials, Bessel functions. Complex Functions: Complex numbers, complex functions, derivative of complex functions, concept of analytical function, Conditions of Cauchy-Riemann, Complex integral, Cauchy theorem,Formulas of Cauchy integral, series of complex functions, Laurent series, Residue theorem and its applications. Multiple functions and Riemann surfaces. Differential equations: Series method , power series method, Frobenius’s method, Legendre’s equation, Bessel’s equation, Hermite ‘s equation, Systems of Linear equations.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) Students will learn analytic thinking and evaluation property.
2) Students will learn vector algebra advanced level
3) Students will learn complex analysis
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Calculation of differential and integration of vectors: Vector algebra , gradient, divergent, curl, line integral, Green’s Theorem Course Notes
2) The Divergence theorem, Stokes’s theorem., Course Notes
3) Linear Vector Spaces: Linear Vector Space, Linear operators, vector space of finite dimension, matrix algebra Course Notes
4) Similarity transforms, eigenvectors and eigenfunctions of matrix Course Notes
5) Orthogonal functions: Functions space, orthogonal polynomials, Legendre polynomials Course Notes
6) Spherical harmonics, Hermite polynomials, Laguerre polynomials, Bessel functions Course Notes
7) Complex Functions: Complex numbers, complex functions, derivative of complex functions Course Notes
8) Concept of analytical function, Conditions of Cauchy-Riemann, Complex integral, Cauchy theorem Course Notes
9) Formulas of Cauchy integral, series of complex functions, Laurent series Course Notes
10) Residue theorem and its applications Course Notes
11) Multiple functions and Riemann surfaces Course Notes
12) Differential equations: Series method , power series method Course Notes
13) Frobenius’s method, Legendre’s equation Course Notes
14) Application Course Notes

Sources

Course Notes / Textbooks: Higher Engineering Mathematics 44th Edition
References: Higher Engineering Mathematics 44th Edition

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

Program Outcomes
1) Knowledge and ability to apply the interdisciplinary synergetic approach of mechatronics to the solution of engineering problems
2) Ability to design mechatronic products and systems using the mechatronics approach
3) Knowledge and ability to analyze and develop existing products or processes with a mechatronics approach
4) Ability to communicate effectively and teamwork with other disciplines
5) Understanding of performing engineering in accordance with ethical principles
6) Understanding of using technology with awareness of local and global socioeconomic impacts
7) Approach to knowing and fulfilling the necessity of lifelong learning

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Knowledge and ability to apply the interdisciplinary synergetic approach of mechatronics to the solution of engineering problems
2) Ability to design mechatronic products and systems using the mechatronics approach
3) Knowledge and ability to analyze and develop existing products or processes with a mechatronics approach
4) Ability to communicate effectively and teamwork with other disciplines
5) Understanding of performing engineering in accordance with ethical principles
6) Understanding of using technology with awareness of local and global socioeconomic impacts
7) Approach to knowing and fulfilling the necessity of lifelong learning

Learning Activity and Teaching Methods

Lesson
Project preparation

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Individual Project

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Project 1 % 50
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Project 1 175 175
Final 1 80 80
Total Workload 297