PROBABILITY AND STATISTICS PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
MTH207	PROBABILITY AND STATISTICS	3	3	3	5

GENERAL INFORMATION
Language of Instruction :	English
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. OĞUZHAN ÖZTAŞ
Instructor(s) of the Course Unit	Assist.Prof. SAJEDEH NOROZPOUR SIGAROODI-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 distribution
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)
I-dentifies problem in the field of statistic and find solution (Course Learning II-Prepares reports for statistic problems Outcomes) III-The relationship between other engineering science and statistic IV-Make discussion and analysis of complex statistic problems V-Develop data and research-based solution VI-preparing and commenting on the questionnaire VII-solves probability problems

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Literature Research	İntroduction of statistic science	Expression
2	Literature Research	Statstic error,main and sample mass	Expression
3	Literature Research	Frequency distrubution and histogram	Expression
4	Literature Research	Aritmetic mean,mode, median	Expression
5	Literature Research	Change interval, average deviation,variance	Expression
6	Literature Research	standart deviation,coefficient of variation	Expression
7	Literature Research	introduction of probability	Expression
8	-	MID-TERM EXAM	-
9	Literature Research	Conditional probability	Expression
10	Literature Research	Depndent and independent variables	Expression
11	Literature Research	Depndent and independent variables	Expression
12	Literature Research	Depndent and independent events	Expression
13	Literature Research	Discrete random variable and binom distribution	Expression
14	Literature Research	Discrete random variable and poisson distribution	Expression
15	Literature Research	Continuous random variable and normal distribution	Expression
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
İşletmeciler için genel istatistik,Orhan İdil,İ.Ü. Yayınları,1983,
Örnekleme Teorisi ve işletme yönetiminde uygulaması,Orhan İdil,İ.Ü. Yayını,1980
Matemetiksel İstatistiğe giriş,Uğur Korum,Ankara üniversitesi,1971
Matemetiksel İstatistik,Mustafa Aytaç, Ezgi yayınları,Ankara Üniv.yayını,1999,
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	Explains the fundamental engineering concepts of computer science and relates them to the groundwork of computer science.

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Uses theoretical and practical knowledge coming from mathematics, probability, statistics and various other branches of life sciences, to find solutions to engineering problems.

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 computational model under reasonable constraints.
2	Designs a computer-aided conceptual model with modern techniques.

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

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	Possess the ability to conduct effective individual study.
3	Takes responsibility as a team work and contributes in an effective way.

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	1	14
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
Assignment (Homework)	0	0	0
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	7	3	21
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	2	2
Preparation for the Final Exam	1	25	25
Mid-Term Exam	1	2	2
Preparation for the Mid-Term Exam	1	20	20
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	39	0	126