

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 
: 
FaceToFace

Prerequisities and Corequisities 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 
: 
TurkishEnglish

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

:


Course Duration (Excluding Exam Week)

:


Time Of Studying Out Of Class

:


Homeworks

:


Presentation

:


Project

:


Lab Study

:


Field Study

:


Visas

:


Finals

:


Workload Hour (30)

:


Total Work Charge / Hour

:


Course's ECTS Credit

:



Assessment Methods and Criteria
Studies During Halfterm

: 

Visa

: 

Quiz

: 

Homework

: 

Attendance

: 

Application

: 

Lab

: 

Project

: 

Workshop

: 

Seminary

: 

Field study

: 




TOTAL

: 

The ratio of the term to success

: 

The ratio of final to success

: 

TOTAL

: 


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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