Course Name Code Semester T+U Hours Credit ECTS
Mühendisler Için Olasilik ve Istatistik BSM 529 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi MUSTAFA AKPINAR
Course Lecturers Dr.Öğr.Üyesi MUSTAFA AKPINAR,
Course Assistants
Course Category
Course Objective

Gaining the required probability and statistics knowledge to be able to realize scientific and engineering studies.

Course Content

Introduction to Statistics, Descriptive Statistics, Elements of Probability, Random Variables and Expectation, Special Random Variables, Distributions of Sampling Statistics, Parameter Estimation, Hypothesis Testing, Regression, Analysis of Variance, Goodness of Fit Tests and Categorical Data Analysis, Non Parametric HypothesisTests, Quality Control, LifeTesting

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Learns the concepts of probability and statistics Lecture, Question-Answer, Problem Solving, Testing, Homework,
2 Defines the mathematical models of complex probability problems Lecture, Question-Answer, Problem Solving, Testing, Homework,
3 Calculates the expected value and variance of repeating events' results Lecture, Question-Answer, Problem Solving, Testing, Homework,
4 Offers solution to the computer engineering problems Lecture, Question-Answer, Problem Solving, Testing, Homework,
5 Solves probability problems by using software Lecture, Question-Answer, Problem Solving, Testing, Homework,
6 Gains the ability to solve problems by using theoretical and statistical technics Lecture, Question-Answer, Problem Solving, Testing, Homework,
7 Can analyse data by using statistical methods Lecture, Question-Answer, Problem Solving, Testing, Homework,
8 Can for hypothesis tests and solve them Lecture, Question-Answer, Problem Solving, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Introduction to Statistics
2 Descriptive Statistics
3 Elements of Probability
4 Random Variables and Expectation
5 Special Random Variables
6 Distributions of Sampling Statistics
7 Parameter Estimation
8 Hypothesis Testing
9 Regression
10 Analysis of Variance
11 Goodness of Fit Tests and Categorical Data Analysis
12 Non Parametric HypothesisTests
13 Quality Control
14 LifeTesting
Resources
Course Notes <p>Olasılık ve İstatistiğe Giriş M&uuml;hendisler ve Fenciler İ&ccedil;in, Sheldon M. Ross, &Ccedil;eviri Edit&ouml;rleri: Prof. Dr. Salih &Ccedil;elebioğlu, Prof. Dr. Reşat Kasap, 4. Basımdan &Ccedil;eviri, Nobel, 2012</p> <p>Introduction to Probability and Statistics for Engineers and Scientists, Sheldon M. Ross, Academic Press.</p>
Course Resources

Olasılık ve İstatistiğe Giriş Mühendisler ve Fenciler İçin, Sheldon M. Ross, Çeviri Editörleri: Prof. Dr. Salih Çelebioğlu, Prof. Dr. Reşat Kasap, 4. Basımdan Çeviri, Nobel, 2012

Introduction to Probability and Statistics for Engineers and Scientists, Sheldon M. Ross, Academic Press.

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
7 gain high level ability to define the required information and data X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
11 aware of new and developing application of profession and ability to analyze and study on those applications X
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 35
1. Ödev 10
1. Performans Görevi (Seminer) 30
1. Proje / Tasarım 25
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 18 18
Assignment 2 15 30
Total Workload 144
Total Workload / 25 (Hours) 5.76
dersAKTSKredisi 6