Course Name Code Semester T+U Hours Credit ECTS
Probability and Statistic GDM 104 2 2 + 0 2 4
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Doç.Dr. NESRİN GÜLER
Course Lecturers Doç.Dr. NESRİN GÜLER,
Course Assistants
Course Category
Course Objective

Giving students the basics of ststistical thinking, giving the ability to apply the statistical language and tools to real life situations. Helping students to learn to summarize. display and conduct basic statistical calculations and interpretations.

Course Content

Data collection, data display and summarization, basic probability calculations, hypothsis testing

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Comprehend collecting and organizing of engineering data Lecture, Problem Solving, Testing, Homework,
2 Comprehend and apply measures of central tendency Comprehend probability and Probability Distributions Analyze regression and correlation Lecture, Self Study, Problem Solving, Testing, Homework,
3 Comprehend and apply measures of variability Lecture, Self Study, Problem Solving, Testing, Homework,
4 Comprehend probability and Probability Distributions Lecture, Question-Answer, Self Study, Problem Solving, Testing, Homework,
5 Analyze regression and correlation Lecture, Self Study, Problem Solving, Testing, Homework,
6 Comprehend and apply the techniques of statistical quality control Lecture, Brain Storming, Self Study, Problem Solving, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Introduction to Probability and Statistics, Basic Concepts
2 Serial types, Arrangement of the data as a simple, frequency and grouped series
3 Measures of Central Tendency (Arithmetic, Geometric, Harmonic, Quadratic means)
4 Measures of central tendency not sensitive
5 Measures of variability (Sensitive and Non-sensitive)
6 Measures of variability (Sensitive)
7 Standard deviation calculations
8 Display data in charts
9 Probability, Basic Concepts and introduction to probability distributions
10 Continuous and discrete probability Distributions
11 Simple Linear Regression and Correlation
12 Statistical Quality Control
13 Statistical Quality Control
14 Statistical Quality Control
Course Notes
Course Resources

[2]. Şahamet Bülbül, “Tamamlayıcı İstatistik”, 2000.
[3].Özer Serper, “Uygulamalı İstatistik”, 2000.
[4].Münevver Turanlı, “İstatistik Temel Kavramlar ve Uygulamaları”, 1995.
[5].Montgomery, D.C., Runger,G.C, “ Applied Statistics and Probability for Engineers”, John Wiley&Sons, 1999.
[6]. Özkan Ünver, Hamza Gamgam,“Uygulamalı Temel İstatistiksel Yöntemler”,2008.
[7].Vasfi Nadir Tekin,”İstatistiğe giriş”,2008.
[8]. Durmuş Dündar, Nazan Çağlar,”İstatistik”,2008.
[9].Cevdet Cerit, Müşerref Yüksel,” Olasılık Problemleri”, 2011

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledgein these areas in complex engineering problems. X
2 Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. X
3 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
4 Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9 Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
10 Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11 Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
Evaluation System
Semester Studies Contribution Rate
1. Kısa Sınav 10
2. Kısa Sınav 10
3. Kısa Sınav 10
1. Ara Sınav 70
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 10 10
Assignment 1 10 10
Final examination 1 10 10
Total Workload 94
Total Workload / 25 (Hours) 3.76
dersAKTSKredisi 4