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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Probability and Statistic MUH212 Compulsory Bachelor's degree 2 Spring 4

Name of Lecturer(s)

Prof. Dr. Kasım BAYNAL
Prof. Dr. Safa Bozkurt COŞKUN
Prof. Dr. Ergün ÖZTÜRK
Prof. Dr. Aydın ÜSTÜN
Associate Prof. Dr. Osman BÜYÜK
Associate Prof. Dr. Murat Selim ÇEPNİ
Associate Prof. Dr. Utkan MUTMAN
Associate Prof. Dr. Aysen ŞİMŞEK KANDEMİR
Assistant Prof. Dr. Ramiz Gültekin AKAY
Assistant Prof. Dr. Barış AKSU
Assistant Prof. Dr. Özer AKYÜREK
Research Assistant Dr. Aytuğ SEÇKİN

Learning Outcomes of the Course Unit

1) Establish a relationship between science and statistical methods
2) Apply the probability calculations
3) Use the probability distributions and functions
4) Collect, analyze and present the data
5) Use the discrete and continuous distribution functions
6) Calculate the relation between the dependent and independent variables by using regression and correlation analysis

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10
Learning Outcomes
1 Middle No relation No relation No relation No relation No relation No relation No relation No relation No relation
2 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
5 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
6 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

none

Course Contents

This course covers the role of probability and statistics in engineering, Introduction to probability, probability laws, discrete distributions, continuous distributions, descriptive statistics, estimation, simple linear regression and correlation.

Weekly Schedule

1) Basic concepts of statistics and probability
2) Descriptive statistics
3) Basic concepts of probability
4) Probability distributions
5) Normal distribution
6) Sampling distribution and central limit theorem
7) Sampling
8) Midterm examination/Assessment
9) Point estimation and confidence intervals
10) Hypothesis tests - I
11) Hypothesis tests - II
12) Non-Parametric tests
13) Analyse of variance
14) Correlation and regression
15) Time series
16) Final examination

Recommended or Required Reading

1- Özer SERPER, Uygulamalı İstatistik 1-2, Ezgi Yayınevi
2- Enis Sınıksaran, Teori ve Uygulamalarıyla İstatstiksel Yöntemler, Türkmen Kitabevi
3- Paul Newbold (Çev:Ümit Şenesen), İstatistik, Literatür Yayınları
4- M.R.Spiegel, L.J. Stephans (Çev: Alptekin Esin, Salih Çelebioğlu), İstatistik, Nobel Yayın
5- J.Neter, W.Wasserman, G.A. Whitmore, Applied Statistics, Allyn and Bacon

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Drill and Practice
4) Self Study
5) Problem Solving
6) Project Based Learning


Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

40%

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required