GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
HIGHER MATHEMATIC FOR ELECTRICAL & ELECTRONIC ENGINEERING I/5081330
Course Title: HIGHER MATHEMATIC FOR ELECTRICAL & ELECTRONIC ENGINEERING I
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Students attended this course are able to know the necessary mathematical foundations in the field of Electrical and Electronics,
Worked as a research and applications related to the field to improve the ability,
By using a software package (for example MATLAB) to practice in the field and make simulations.
Necessary mathematical techniques learns for the solution of engineering problems.
Students learn necessary analytical thinking for engineering practice.
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face
 --WEEKLY SCHEDULE
1. Week  Matrix algebra and MATLAB General information and definitions on matrices The operation on matrices
2. Week  Matrix algebra Determinant The solution of linear equations systems by using matrices
3. Week  Eigenvalues and eigenvectors Examples on this section
4. Week  Several variable functions and Computer Applications Definition of several variable functions Limit and continuity for several variable functions
5. Week  Several variable functions Differentiation of several variable functions Integration of several variable functions
6. Week  Several variable functions Multiple integrals Surface integrals Applications of several variable functions
7. Week  Fourier Analysis and Computer Applications Fourier Series Fourier transform Complex notation
8. Week  Midterm exam Fourier Analysis Complex symmetry property Examples on Fourier transform
9. Week  Orthogonal Functions Definition of Orthogonal Functions Examples on Orthogonal Functions
10. Week  Ordinary differential equations and Computer Applications General information about Ordinary differential equations The solutions of Ordinary differ
11. Week  Ordinary differential equations and Computer Applications Ordinary differential equations and electrical applications The numerical solutions of ini
12. Week  Laplace Transform and Inverse Laplace Transform General information and definitions of Laplace Transform
13. Week  The basic properties of Laplace Transform and Inverse Laplace Transform Convolution
14. Week  Green function and its applications
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
1
40
 Application
0
0
 Projects
1
20
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
3
42
 Searching in Internet and Library
10
3
30
 Material Design and Implementation
0
 Report Preparing
3
2
6
 Preparing a Presentation
3
3
9
 Presentation
1
3
3
 Midterm Exam and Preperation for Midterm Exam
8
3
24
 Final Exam and Preperation for Final Exam
6
4
24
 Other (should be emphasized)
10
2
20
 TOTAL WORKLOAD: 
200
 TOTAL WORKLOAD / 25: 
8
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1To access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement.X
2To complete and implement limited or incomplete data by using the scientific methods. To stick knowledge of different disciplinarians togetherX
3To consolidate engineering problems, develop proper method to solve and apply innovative solutions.X
4To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or processX
5To have comprehensive information on modern techniques, methods and their borders which are being applied to engineeringX
6To design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process.X
7High level ability to define the required information, data and reach, assess.X
8To lead multi-disciplinary teams to take responsibility to define approaches for complex situations.X
9Systematic and clear verbal or written transfer of the process and results of studies at national and international environmentsX
10Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement.X
11Awareness at new and developing application of profession and ability to analyze and study on those applications.X
12To interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment.X
13Ability for effective oral and official communication skills in Turkish Language.X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr. H. Hüseyin SAYAN)
 -- WEB SITE(S) OF LECTURER(S)
   (w3.gazi.edu.tr/~hsayan , http://websitem.gazi.edu.tr/site/hsayan)
 -- EMAIL(S) OF LECTURER(S)
   (hsayan@gazi.edu.tr)