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PROBABILITY AND STATISTICS PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
MAT207 PROBABILITY AND STATISTICS 3 3 3 5

GENERAL INFORMATION

Language of Instruction : Turkish
Level of the Course Unit : BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course : Compulsory
Mode of Delivery of the Course Unit -
Coordinator of the Course Unit Assist.Prof. PERİ GÜNEŞ
Instructor(s) of the Course Unit Assist.Prof. BAHADIR KOPÇASIZ-Assist.Prof. FERHAT KÜRÜZ-Assist.Prof. ZEHRA CİVAN
Course Prerequisite No

OBJECTIVES AND CONTENTS

Objectives of the Course Unit: Identifies problem in the field of statistic problem and find solution,prerares reports for statistic problem, solving continious random variable problem and normal distributio
Contents of the Course Unit: Introduction of basic statistical concepts, central tendency and variability measures,probability, intermittent and continuous distributions , binom and poisson, continuous distributions and normal distrubituon applications

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

Know the basic concepts of probability theory.
Use common probability distributions and analyse their properties.
Compute conditional probability distributions and conditional expectations.
Compute distributions by use of transformation techniques and solve problems.
Define and use the properties of Stochastic processes, especially Gaussian and Poisson Processes.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - Introduction of statistic science -
2 - Statstic error,main and sample mass -
3 - Frequency distrubution and histogram -
4 - Aritmetic mean,mode, median -
5 - Change interval, average deviation,variance -
6 - Standart deviation,coefficient of variation -
7 - Introduction of probability -
8 - MID-TERM EXAM -
9 - Conditional probability -
10 - Dependent and independent variables -
11 - Dependent and independent events -
12 - Discrete random variable and binom distribution -
13 - Discrete random variable and poisson distribution -
14 - Continuous random variable and normal distribution -
15 - Preparation for Final exam -
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

Mühendislik İstatistiği;Montgomery,Runger,Hubele;Çeviri:Coşkun ÖZKAN,Palme Yayıncılık2017
Matemetiksel İstatistik,Mustafa Aytaç, Ezgi yayınları,Ankara Üniv.yayını,1999
Örnekleme Teorisi ve işletme yönetiminde uygulaması,Orhan İdil,İ.Ü. Yayını,1980
Matemetiksel İstatistiğe giriş,Uğur Korum,Ankara üniversitesi,1971
Yönetimde istatistik teknikler ve örnek olaylar, Orhan İdil,İst. Gelişim Üniv. ,1979

ASSESSMENT

Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description
Level of Contribution
0 1 2 3 4 5

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES

KNOWLEDGE

Theoretical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Explains the fundamental engineering concepts of electrical and electronics science and relates them to the groundwork of electrical and electronics science.
2

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Uses theoretical and practical knowledge coming from electrical and electronics sciences, to find solutions to engineering problems.
1

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Determines the components and the underlying process of a system and designs an appropriate model related to electrical and electronics under reasonable constraints.
2
2
Designs a model related to electrical and electronics with modern techniques.
2

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Determines, detects and analyzes the areas of electrical and electronics engineering science applications and develops appropriate solutions.
3
2
Identifies, models and solveselectrical and electronics engineering problems by applying appropriate analytical methods.
2
3
Determines and uses the necessary electrical and electronics engineering technologies in an efficient way for engineering applications.
2

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Possess the responsibility and ability to design and conduct experiments for engineering problems by collecting, analyzing and interpreting data.
2
2
Possess the ability to conduct effective individual study.
3
3
Takes responsibility as a team work and contributes in an effective way.
3

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Monitors the developments in the field of electrical and electronics engineering technologies by means of books, internet and related journals and possess the required knowledge for the management, control, development and security of information technologies.
2
2
Develops positive attitude towards lifelong learning.
3

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Communicates effectively by oral and/or written form and uses at least one foreign language.
2
2
Possess sufficient consciousness about the issues of project management, practical applications and also environmental protection, worker's health and security.
2

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Possess professional and ethical responsibility and willingness to share it.
2
2
Possess sufficient consciousness about the universality of electrical and electronics engineering solutions and applications and be well aware of the importance of innovation.
2

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT

Workload for Learning & Teaching Activities

Type of the Learning Activites Learning Activities (# of week) Duration (hours, h) Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 14 3 42
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 0 0 0
Assignment (Homework) 3 5 15
Project Work 0 0 0
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 0 0 0
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Final Exam 1 1 1
Preparation for the Final Exam 5 3 15
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 5 2 10
Short Exam 1 2 2
Preparation for the Short Exam 1 3 3
TOTAL 45 0 131
Total Workload of the Course Unit 131
Workload (h) / 25.5 5,1
ECTS Credits allocated for the Course Unit 5,0