Computer Engineering

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)	-

Basic Vocational Courses
Specialization / Field Courses
Support Courses	X
Transferable Skills Courses
Humanities, Communication and Management Skills Courses

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

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

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

Resources

C.R. Wylie - L. C. Barrett, Advanced Engineering Mathematics, McGraw Hill Publ. Comp.

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 (%)

	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

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