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Course Information
Course Unit Title : Mathematics I in Electronics Engineering
Course Unit Code : 01EEN5121
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : Preb
Semester : 255.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) : ---
Course Assistants : ---
Learning Outcomes of The Course Unit : 1) Able to solve equations with two and three unknowns by using termination method, state the solution graphically, define slope of a line
2) Able to define matrix concept and matrix types (as square matrix, unit matrix, zero matrix)
3) Able to add, subtract and multiply matrices
4) Able to analyze behaviors of a function in neighborhoods of a point
5) Able to find limit of a point by using right and left approximate values
6) Able to find limit of a point by using right and left approximate values
7) Able to understand limit rules
8) Able to understand definition and rules of derivative, use derivatives of xn, sinx, cosx, lnx, ex functions
9) Able to understand derivative?s physical meaning is velocity, geometrical meaning is slope, able to solve problems about velocity and acceleration
10) Able to derivate additive, productive and quotient functions
11) Able to find slope and equation of a line that is tangent to any point of the graphic of a function
12) Able to comprehend integral calculation is inverse of derivative, understand general laws for indefinite integral calculation
13) Able to understand change of variable and integration by parts methods, calculate rational integrals by using proper fraction method
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Linear equation systems and matrices, Limit and continuity, Derivative and applications, Integral and applications, Differential equations, Statistics
Languages of Instruction : Turkish-English
Course Goals : Aim of this course is to teach adequate and efficient mathematics to create an infrastructure for students? upcoming professional courses and make them to use related mathematical methods in the real life after graduation
Course Aims : Aim of this course is to teach adequate and efficient mathematics to create an infrastructure for students? upcoming professional courses and make them to use related mathematical methods in the real life after graduation
WorkPlacement   Unavailable
Recommended or Required Reading
Textbook : [1] Balcı, M.?Analiz I?, Balcı Yayınları, 2001
[2] F. AYRES, Calculus Schaums Outline Series, 1979
[3] D. ÇOKER, Genel Matematik I, Detay Yayıncılık
Additional Resources : Lecturer notes
Material Sharing
Documents :
Assignments :
Exams :
Additional Material :
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
16 3 48  
Time Of Studying Out Of Class :
16 4 64  
Homeworks :
1 16 16  
Presentation :
0 0 0  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 15 15  
Finals :
1 25 25  
Workload Hour (30) :
30  
Total Work Charge / Hour :
168  
Course's ECTS Credit :
6      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 40
Quiz :
0 0
Homework :
1 60
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
40
The ratio of final to success :
60
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Linear equation systems and matrices
 
2 Linear equation systems and matrices
 
3 Limit and continuity
 
4 Limit and continuity
 
5 Derivative and applications
 
6 Derivative and applications
 
7 Indefinite Integral and Definite Integral
 
8 Indefinite Integral and Definite Integral
 
9 Integral and applications
 
10 Integral and applications
 
11 Differential equations
 
12 Differential equations
 
13 Statistics
 
14 Statistics
 
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