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Course Details
KTO KARATAY UNIVERSITY
Faculty of Engineering and Natural Science
Programme of Computer Engineering
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
05071101 Advanced Engineering Mathematics 2025 Autumn 7 3+0+0 3 5
Course Type Elective
Course Cycle Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language Turkish
Methods and Techniques -
Mode of Delivery Face to Face
Prerequisites -
Coordinator -
Instructor(s) Asst. Prof. Neşe ÖZKAN YILMAZ
Instructor Assistant(s) -
Course Instructor(s)
Name and Surname Room E-Mail Address Internal Meeting Hours
Asst. Prof. Neşe ÖZKAN YILMAZ A BLOK-130 [email protected] 7812
Contribution of the Course to Field Teaching
Basic Vocational Courses
Specialization / Field Courses
Support Courses X
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P1 Adequate knowledge in mathematics, science and related engineering discipline accumulation; theoretical and practical knowledge in these areas, complex engineering the ability to use in problems. 2
P6 Ability to work effectively in disciplinary and multi-disciplinary teams; individual study skills 2
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Knows solution methods and applications and differential equations in engineering. P.1.7 1
O2 Ability to work independently and take responsibility P.6.1 2
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 Reviewing ordinary differential equations. Series solutions of differential equations
2 Special differential equations
3 Legendre differential equations and Legendre polynomials
4 Fourier series
5 Partial differential equations
6 Method of separating variables
7 Serial solutions
8 Variations
9 Variations
10 Application examples
11 Variational principles of mechanics
12 Functions of a single complex variable
13 Complex series
14 Applications of the residue theorem
Textbook or Material
Resources C.R. Wylie - L. C. Barrett, Advanced Engineering Mathematics, McGraw Hill Publ. Comp.
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice - -
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects - -
Quiz - -
Midterms 1 40 (%)
Final Exam 1 60 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 3 42
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 3 42
Midterms 1 32 32
Quiz 0 0 0
Homework 0 0 0
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 34 34
Other 0 0 0
Total Work Load: 150
Total Work Load / 30 5
Course ECTS Credits: 5
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1 P6
O1 Knows solution methods and applications and differential equations in engineering. 2 -
O2 Ability to work independently and take responsibility - 2