Information Package

Master's of Energy Engineering with Thesis

ENE502

ADVANCED ENGINEERING MATHEMATICS II

Course Code
ENE502
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree With Thesis
Year of Study-
Semester-
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
  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 DescriptionThis course is to give knowledge on partial differential equations; Laplace, diffusion and wave equations; Bessel and Legendre functions; integral equations; complex variable functions; complex integral calculations; series expansions and residual theorem.
Course Contents
WEEK TOPICS
1st Week Introduction
2nd Week Differential equations
3rd Week Partial differential equations
4th Week Laplace equations
5th Week Diffusion and wave equations
6th Week Bessel functions
7th Week Legendre functions
8th Week Midterm
9th Week Integral equations
10th Week Functions with complex variable
11th Week Angular conservative conversions
12th Week Complex integral
13th Week Series expansions
14th Week Residual theorem
Recommended or Required ReadingFARLOW S.J., Partial Differential Equations for Scientists and Engineers, Dover Books on Advanced Mathematics
STRAUSS W., Partial Differential Equations: An Introduction,
ASMAR N.H., Partial Differential Equations and Boundary Value Problems with Fourier Series
Planned Learning Activities and Teaching Methods
  • Lecture
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 35
Assignment 1 5
Quiz 1 15
Attendance 1 5
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 16 8 128
Preparation for Final exam 6 7 42
Course hours 14 3 42
Preparation for Midterm exam 8 7 56
Laboratory (including preparation)
Final exam 1 2 2
Homework 4 8 32
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
K4 X X X X
K5 X X X X
K6
K7 X X X X
K8 X X X X
K9 X X X X
K10
K11