Information Package / Course Catalogue
Statistical Programming
Course Code: CSE214
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

Providing basics of fundamental probability and statistics problems arising in Engineering.

Course Content

Data analysis, Measures of central and distribution tendencies, Concept of probability, discrete and continuous probability distributions.

Name of Lecturer(s)
Lec. Gülben AVŞAR
Learning Outcomes
1. Explain probability distribution.
2.Understand measures of central tendency.
3.Writing functions in R
4.Apply discrete and continuous probability distributions
5.Performing statistical analysis in R
Recommended or Required Reading
1.Walpole, Ronald E.; Myers, Raymond H.; Myers, Sharon L.; Ye, Keying E.; Probability and Statistics for Engineers and Scientists; ISBN-13: 978-0321629111; Edition: 9; 2011.
2.Akdeniz, F. İstatistik ve Olasılık, A.Ü yayınları, 1995.
3.Cevdet Cerit, Olasılık, İstanbul.
4.R yazılımına Giriş, Özlem İlk, Otdü Yayıncılık, 2011.
5.Beginners Guide to R, A. F. Zuur, E. N. Ieno, E.H.W.G. Meesters, Springer, 2009.
Weekly Detailed Course Contents
Week 1 - Theoretical
Installation and general information; Data analysis and Histogram
Week 2 - Theoretical
Introduction to R and console usage; Measures of central tendency, Means.
Week 3 - Theoretical
Objects I; Arithmetic and geometric means, mod, median.
Week 4 - Theoretical
Objects II; Measures of distribution, variance and standard deviation.
Week 5 - Theoretical
Application I; Concept of probability, conditional probability, Bayes formula.
Week 6 - Theoretical
Data operations; Probability and distribution functions.
Week 7 - Theoretical
Graphics I; Expected value, variance.
Week 8 - Theoretical
Graphics II; Moments, moment generating functions, characteristic function.
Week 9 - Theoretical
R programming; Discrete probability distribution, uniform and binomial probability distribution.
Week 10 - Theoretical
Statistical application in R I-Definitional statistics; Continuous probability distribution, normal probability distribution.
Week 11 - Theoretical
Statistical application in R I-Definitional statistics; Continuous probability distribution, normal probability distribution.
Week 12 - Theoretical
Statistical application in R II-Probability distributions and hypothesis test; Standard normal probability distribution.
Week 13 - Theoretical
Statistical application in R III-Regression analysis; Z-table.
Week 14 - Theoretical
Statistical application in R IV-Using R in statistical analysis
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%20
Final Examination1%60
Quiz4%15
Assignment5%5
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Lecture - Practice141242
Assignment5105
Quiz4002
Midterm Examination110212
Final Examination112214
TOTAL WORKLOAD (hours)131
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
4
3
1
1
2
3
2
1
1
2
OÇ-2
4
3
1
1
4
3
2
1
1
2
OÇ-3
1
2
3
5
2
2
2
3
1
2
1
OÇ-4
4
5
3
4
4
1
2
3
1
2
1
OÇ-5
5
4
2
3
5
5
4
1
2
5
4
Adnan Menderes University - Information Package / Course Catalogue
2026