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FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES

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FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES /
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IST1003Introduction to Statistics4+0+0ECTS:6
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of STATISTICS and COMPUTER SCIENCES
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 4 hours of lectures per week
LecturerDr. Öğr. Üyesi Erdinç KARAKULLUKÇU
Co-LecturerAssoc. Prof. Dr. Zafer Küçük
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
To teach students the basic statistical concepts and enable them to use these concepts using a computer.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : form the frequency table of data set1,3,4,5,8,10,111,3
LO - 2 : describe the mean, mode, median and quartiles about data set using frequency table1,3,5,6,10,111,3
LO - 3 : draw the histogram and the other graphs for the data set2,6,10,111,3
LO - 4 : compute the variance and standard deviation for data set1,2,6,8,10,111,3
LO - 5 : determine the simple linear regression model for data set3,6,7,9,10,111,3
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
Brief history of statistics, basic concepts, statistical thinking for presentation and analysis of data, discussion of some application areas of modern statistics, summary statistics and elements of exploratory data analysis, introduction to use of computer solving tools.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Brief history of statistics.
 Week 2Basic Concepts
 Week 3Preparation of the data
 Week 4Frequency Tables
 Week 5Cumulative Frequency Tables
 Week 6Graph types used in statistics.
 Week 7Mean, median and mode in quantitative data
 Week 8Quantitative Measures of Change in the Data (Variance, Standard Deviation)
 Week 9Mid-term exam
 Week 10Quantitative Measures of Change in the Data(Skewness, Kurtosis and deviating value)
 Week 11Measures of Location and Change in the qualitative data
 Week 12Frequency Timelines of Multivariate Qualitative and Quantitative Data
 Week 13Simple Linear Regression Analysis
 Week 14Describeable and undescribeable change.
 Week 15Correlation coefficient calculation
 Week 16End-of-term exam
 
Textbook / Material
1Akdeniz, A., 1984; Olasılık ve İstatistik, Ankara Üniversitesi Basımevi, Ankara.
 
Recommended Reading
1Ersoy, N., Erbaş, S.O. 1996; Olasılık ve İstatistiğe Giriş, Gazi Kitabevi, Ankara.
2N. Çömlekci, 1985; İstatistiğin tarihcesi, Anadolu Ü., Eskişehir.
3Apaydın, A., Kutsal, A., Atakan, C., 1994; Uygulamalı İstatistik, Baran Ofset, Ankara.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 22/11/2013 1,5 50
End-of-term exam 16 10/01/2014 1,5 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 2 14 28
Sınıf dışı çalışma 3 14 42
Arasınav için hazırlık 10 1 10
Arasınav 1.5 1 1.5
Ödev 5 5 25
Dönem sonu sınavı için hazırlık 16 1 16
Dönem sonu sınavı 1.5 1 1.5
Total work load124