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	Prof. HAMDİ ALPER ÖZYİĞİT
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

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Able to adopt math and science knowledge to the problems of Mechatronic Engineering.					4

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Can use the scientific methods to solve problems of Mechatronic Engineering.			2
2	Able to plan experiment, build hardware, collect data using modern devices and analyze data.						5

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Can define, scientize and solve the actual mechatronics problems.			2

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Use modern tools such as softwares in engineering design and analysis.					4

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Prone to work in interdisciplinary teams and be a team leadership.					4

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Able to find solutions that meet technical and economical expectations when designing a system with components.					4
2	Can approach with a global perspective to Mechatronics Engineering.			2
3	Able to keep up to date of self-awarness in the field.				3
4	Can follow academic and industrial developments related Mechatronics Engineering.			2

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Able to work in the field, interdisciplinary and multidisciplinary environments.				3
2	Have written and verbal communication skills in Turkish and English.		1

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Have professional and ethical values and sensitive to these.		1
2	Sensitive to health and safety issues in Mechatronic Engineering.		1
3	Sensitive to social, environmental and economic factors in professional activities.				3

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