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Course Information
Course Unit Title : Statistics
Course Unit Code : INS203
Type of Course Unit : Compulsory
Level of Course Unit : First Cycle
Year of Study : 2
Semester : 3.Semester
Number of ECTS Credits Allocated : 5,00
Name of Lecturer(s) :
Course Assistants :
Learning Outcomes of The Course Unit : 1) Having a comprehension of data collection and its presentation forms
2) Evaluating data
3) Understanding probality and probality distributions
4) Understanding prediction and hypothesis test
5) Explaining correlation and regression
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Importance of Istatistics in Engineering, Basic Concepts, Collecting of Data and organization of data, Presentation of Data (Diagrams, histograms, bar graphics, cumulative frekans graphics, distribution graphics), Measures of central tendency, Measures of central dispersion, Statistical moments, Shapes of Frequency Distrubution, Skewness and Kurtosis, Theory of Probability, Basic and Multıple Random Varıables, two dimensional and Conditional sample space, Total Probability Theorem and Bayes Theorem, probability distributions of discrete variables, probability distributions of continuous variables, Hypothesis Testing, Correlation and regression.
Languages of Instruction : Turkish
Course Goals :
Course Aims : Providing students with the basics of data collection, data compilation, data summarization, data analysis, and probality applications.
WorkPlacement   Not Available
Recommended or Required Reading
Textbook :
Additional Resources : Beyazıt, M., Yeğen Oğuz, B. ??Mühendisler için İstatistik?, İstanbul, Birsen Yayınevi., 1998.

Maden, S., ?Olasılığa giriş?, Seçkin Yayıncılık, 2006.

Serper, Ö,. ?Uygulamalı İstatistik I.?, Ezgi Yayınevi, 2004.

Serper, Ö,. ?Uygulamalı İstatistik II.?, Ezgi Yayınevi, 2000.

Spiegel, M.R, ?İstatistik?, Bilim Teknik Yayınları, 1995.
Material Sharing
Documents :
Assignments : Practice about units
Exams : Mid term , questions and solutions
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) :
14 3 42  
Time Of Studying Out Of Class :
14 3 42  
Homeworks :
13 3 39  
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 :
163  
Course's ECTS Credit :
5      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
0 0
Quiz :
0 0
Homework :
0 0
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
0
The ratio of the term to success :
0
The ratio of final to success :
0
TOTAL :
0
Weekly Detailed Course Content
Week Topics  
1 Importance of Istatistics in Engineering, Basic Concepts, Collecting of Data and organization of data
 
2 Presentation of Data (Diagrams, histograms, bar graphics, cumulative frekans graphics, distribution graphics)
 
3 Measures of central tendency.
 
4 Measures of central dispersion.
 
5 Statistical moments.
 
6 Shapes of Frequency Distrubution, Skewness and Kurtosis.
 
7 Theory of Probability, Basic and Multıple Random Varıables.
 
8 Two dimensional and conditional sample space.
 
9 Total Probability Theorem and Bayes Theorem.
 
10 Probability distributions of discrete variables.
 
11 Probability distributions of continuous variables.
 
12 Hypothesis Testing
 
13 Correlation and regression
 
14 Correlation and regression (Continue)