1	Course Title:	STATISTICS I
2	Course Code:	EKO2209
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	2
6	Semester:	3
7	ECTS Credits Allocated:	6
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. ERKAN IŞIGIÇOK
16	Course Lecturers:	Öğr.Grv:Dr.Filiz GÜLSOY
17	Contactinformation of the Course Coordinator:	E-mail: eris@uludag.edu.tr Telefon: 224 29 41101 Adres: Bursa Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi,Ekonometri Bölümü,Görükle,Bursa
18	Website:
19	Objective of the Course:	Introduction to probability theory and learning the basic statistical concepts and theories.
20	Contribution of the Course to Professional Development	Statistical methods and techniques of education is to give the students can apply to their fields.

21

Learning Outcomes:

1 The student gains the ability to create the model in data collection.; 2 Acquires knowledge of organizing and evaluating the collected data.; 3 The student can make the necessary arrangements and taking measures according to the results of statistical techniques.; 4 Ability to easily adapt the subject after receiving the basic information of interest to develop.; 5 Ability to easily participate in team practices.; 6 The student gains the ability to solve the problem of theoretical and statistical techniques.; 7 Knows and applies the daily problems of probability functions.; 8 Hypothesis testing can create and solve.; 9 Hypothesis testing can be applied to problems in various models.; 10 The student can analyze by using probability and statistical informations.;

22	Course Content:

Week	Theoretical	Practical
1	Set Theory
2	Necessary Basic Concepts
3	Statistical data, data collection, tables and graphics support
4	Measures of Central Tendency
5	Measures of Central Distribution
6	Probability and Probability Distributions
7	Continuous probability distributions
8	Discrete Probability Distributions
9	Discrete probability distributions-applications
10	Hypothesis testing-I
11	Hypothesis testing-II
12	Regression and correlation analysis
13	Variance Analysis
14	General review and applications

23	Textbooks, References and/or Other Materials:	1) Prof.Dr. Fikri Akdeniz Probability and Statistics Nobel Publishing (in Turkish). 2) Prof. Dr. Aziz Bener, Mathematical Statistics (Probability), YTU Publishing (in Turkish).
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	Multiple choice test questions and written questions
Information	This course is evaluated with a relative evaluation system.

25

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	14	3	42
Homeworks, Performances	0	0	0
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	1	40	40
Others	0	0	0
Final Exams	1	60	60
Total WorkLoad			224
Total workload/ 30 hr			6,13
ECTS Credit of the Course			6

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 1 1 3 1 4 1 1 1 1 1 1 1 LO2 1 1 3 1 4 1 1 1 1 1 1 1 LO3 1 1 3 1 4 1 1 1 1 1 1 1 LO4 1 1 3 1 4 1 1 1 1 1 1 1 LO5 1 1 3 1 4 1 1 1 1 1 1 1 LO6 1 1 3 1 4 1 1 1 1 1 1 1 LO7 1 1 3 1 4 1 1 1 1 1 1 1 LO8 1 1 3 1 4 1 1 1 1 1 1 1 LO9 1 1 3 1 4 1 1 1 1 1 1 1 LO10 1 1 3 1 4 1 1 1 1 1 1 1

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High