INTERNATIONAL FINANCE
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
ECO2061	Statistics	Fall	3	0	3	6

Basic information

Language of instruction:	English
Type of course:	Must Course
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Hybrid
Course Coordinator :	Dr. Öğr. Üyesi BAHAR KÖSEOĞLU
Course Lecturer(s):	Dr. Öğr. Üyesi AYSE ERTUĞRUL BAYKAN Assoc. Prof. ÇAĞLAR YURTSEVEN Prof. Dr. SELİM ZAİM
Recommended Optional Program Components:	None
Course Objectives:	To apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics; to understand the fundamental concepts in statistics

Learning Outcomes

The students who have succeeded in this course;
At the end of the course, you will be able to:

1. classify data read and interpret data
2. calculate and visualize descriptive statistics using Excel and interpret these summary measures
3. understand basics about probability
4. define random variables and basics about probability distribution of these random variables
5. use tools in Excel related with probability and probability distribution functions

Course Content

Introduction and Data Collection
Presenting Data in Tables And Charts (Organizing Categorical Data)
Presenting Data in Tables And Charts (Frequency Distribution)
Presenting Data in Tables And Charts (Organizing Numerical Data)
Numerical Descriptive Measures (Measures of Central Tendency)
Numerical Descriptive Measures (Measures of Variation)
Numerical Descriptive Measures (Z-Score and Shape of a Distribution)
Basic Probability (Basic Probability Concepts)
Basic Probability (Basic Probability Concepts, Simple and Joint Probabilities)
Basic Probability (Conditional Probabilities)
Discrete Probability Distributions (Basic Concepts and Expected Value)
Discrete Probability Distributions (Binomial and Poisson Distributions)
Continuous Distributions (Normal Distribution)
Continuous Distributions (Uniform Distributions and Exponential Distribuitons)

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction and Data Collection
2)	USING GRAPHS TO DESCRIBE DATA
3)	USING NUMERICAL MEASURES TO DESCRIBE DATA
4)	USING NUMERICAL MEASURES TO DESCRIBE DATA • Measure of variation • Measure of shape Locating Extreme outliers: Z-score
5)	USING NUMERICAL MEASURES TO DESCRIBE DATA (covariation)
6)	USING NUMERICAL MEASURES TO DESCRIBE DATA _Excel application
7)	ELEMENTS OF CHANCE: PROBABILITY METHODS
8)	ELEMENTS OF CHANCE: PROBABILITY METHODS
9)	ELEMENTS OF CHANCE: PROBABILITY METHODS
10)	DISCRETE PROBABILITY DISTRIBUTIONS
11)	DISCRETE PROBABILITY DISTRIBUTIONS
12)	CONTINUOUS PROBABILITY DISTRIBUTIONS
13)	CONTINUOUS PROBABILITY DISTRIBUTIONS
14)	JOINT PROBABILITY DISTRIBUTIONS

Sources

Course Notes / Textbooks:	• Statistics for Business and Economics, Paul Newbold, William L. Carlson and Betty Thorne, 9th Edition, Pearson. (NCT)
References:	• Statistics for Business and Economics, Paul Newbold, William L. Carlson and Betty Thorne, 9th Edition, Pearson. (NCT)

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	5	% 40
Final	1	% 60
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	16	3	48
Study Hours Out of Class	14	7	98
Quizzes	3	1	3
Final	1	2	2
Total Workload			151

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	To correctly identify the problems and to be able to ask the correct questions	4
2)	To have the ability for problem solving and to utilize analytical approach in dealing with the problems of finance	4
3)	To understand and grasp the full details of theoretical arguments and counter arguments	2
4)	To be fully prepared for a graduate study in finance and to have lifelong learning awareness	4
5)	To be able to apply theoretical principles of finance to the realities of practical business life	2
6)	To develop solutions for managerial problems by understanding the requirements of international financial markets	3
7)	To think innovatively and creatively in complex situations	3
8)	To be able to make decisions both locally and internationally by knowing the effects of globalization on business and social life	3
9)	To have the competencies of the digital age and to use the necessary financial applications	4
10)	To be able to use at least one foreign language both for communication and academic purposes	3
11)	To understand the importance of business ethics and to take decisions by knowing the legal and ethical consequences of their activities in the academic world and business life	3
12)	To develop an objective criticism in business and academic life and having a perspective to self-criticize	4