INTERNATIONAL FINANCE | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ECO2061 | Statistics | Fall | 3 | 0 | 3 | 6 |
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 |
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 |
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) |
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 |
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) |
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 |
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 |
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 |