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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
MATHEMATICS FOR COMPUTER ENGINEERING MAT286 Fourth Term (Spring) 3 + 1 5

TYPE OF COURSE UNITCompulsory Course
LEVEL OF COURSE UNITBachelor's Degree
YEAR OF STUDY2
SEMESTERFourth Term (Spring)
NUMBER OF ECTS CREDITS ALLOCATED5
NAME OF LECTURER(S)Professor Nizami Gasilov
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Learn methods for solving Ordinary Differential Equations.
2) Know Laplace Transforms and apply them to solve differential equations of engineering subjects.
3) Learn Fourier Series, Integrals and Transforms.
4) Recognize and solve partial differential equations.
5) Apply numerical methods in Linear Algebra and Differential Equations.
6) Learn complex functions.
7) Develop problem-solving skills and working together.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSEYes(MAT152)
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONOrdinary Differential Equations (ODE): First order ODE, Linear differential equations of second order, Systems of ODE, Series solutions of ODE. Fourier Series. Partial Differential Equations. Complex Numbers and Functions. Numerical Methods in Linear Algebra. Numerical Methods for Differential Equations.
COURSE CONTENTS
WEEKTOPICS
1st Week Ordinary Differential Equations (ODE): First order ODE
2nd Week Linear differential equations of second order
3rd Week Linear differential equations of second order
4th Week Systems of ODE
5th Week Series solutions of ODE
6th Week Series solutions of ODE
7th Week Fourier Series
8th Week Midterm
9th Week Partial Differential Equations
10th Week Complex Numbers and Functions
11th Week Numerical Methods in Linear Algebra
12th Week Numerical Methods in Linear Algebra
13th Week Numerical Methods for Differential Equations
14th Week Numerical Methods for Differential Equations
RECOMENDED OR REQUIRED READING1. Greenberg M.D., Advanced Engineering Mathematics, 2/E, Prentice-Hall, 1998
2. Kreyszig E., Advanced Engineering Mathematics, 9/E, John Wiley & Sons Inc., 2006
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Questions/Answers,Problem Solving,Experiment,Practice,Project,Report Preparation,Presentation
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Assignment110
Quiz420
Total(%)60
Contribution of In-term Studies to Overall Grade(%)60
Contribution of Final Examination to Overall Grade(%)40
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam11,51,5
Preparation for Quiz428
Individual or group work
Preparation for Final exam13030
Course hours14456
Preparation for Midterm exam12525
Laboratory (including preparation)
Final exam122
Homework8324
Quiz4,52
Total Workload148,5
Total Workload / 304,95
ECTS Credits of the Course5
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

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