1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
  3. ELECTRICAL AND ELECTRONICS ENGINEERING DEPARTMENT
  4. 1181 Electrical and Electronics Engineering
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ELK 0563ADVANCED ENGINEERING MATHEMATICS3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective
Course Content Series solutions of differential equations, special polynomials and theirs applications, Sturm-Liouville theory and eigenfunction expansions, fourier analysis, initially and boundary value problems, partial differential equations.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1-
1-
1-

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 001           
Sub Total           
Contribution00000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14570
Assignments11515
Mid-terms12323
Final examination13030
Presentation / Seminar Preparation11515
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Fall1CEYHUN KARPUZ


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
ELK 0563 ADVANCED ENGINEERING MATHEMATICS 3 + 0 1 Turkish 2020-2021 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. CEYHUN KARPUZ ckarpuz@pau.edu.tr MUH A0301 %
Goals
Content Series solutions of differential equations, special polynomials and theirs applications, Sturm-Liouville theory and eigenfunction expansions, fourier analysis, initially and boundary value problems, partial differential equations.
Topics
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes