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 |
EEE5022 | Applied Statistics | Spring Fall |
3 | 0 | 3 | 9 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Assoc. Prof. SAEID KARAMZADEH |
Course Lecturer(s): |
Prof. Dr. SELİM ZAİM |
Recommended Optional Program Components: | none.......... |
Course Objectives: | The course introduces fundamental topics in statistics and implements its applications to industrial, medical, financial, energy and similar type very large-size datasets to infer meaninful statistical results. The course is for gradute students with no significant background on this subject. Implementations will be performed on the open source statistical software R. Introduction to R programming will be given. |
The students who have succeeded in this course; I. Identify basic terms in statistics. II. Gain ability to use and apply basic methods and programming tools used in statistics over various engineering disciplines. III. Ability to explore data and its relationships. IV. Ability to perform hypothesis testing for statistical problems. V. Perform statistical inference over statistical data. |
Topics include: Introduction to R programming, Sampling, Data Exploration, Exploring Relationships, Probability, Random Variables and Probability Distributions, Estimation, Hypothesis Testing, Statistical Inference, Multiple Testing Correction, ANOVA, Analysis of Categorical Variables, Regression Analysis, Bayesian Analysis, Survival Analysis, Over Representation Analysis, Meta Analysis. |
Week | Subject | Related Preparation |
1) | Introduction | |
2) | Introduction to R statistical programming | |
3) | Term Project | |
4) | Data Exploration with R | |
5) | Visualizing and Summarizing Relationships | |
6) | Probability and Random Variables | |
7) | Estimation in datasets | |
8) | Hypothesis Testing for various engineering applications | |
9) | Statistical Inference over various large datasets | |
10) | ANOVA | |
11) | Analysis of Categorical Variables | |
12) | Regression and Bayesian Analysis | |
13) | Survival analysis | |
14) | Over Representation Analysis |
Course Notes / Textbooks: | Principles of Applied Statistics (Paperback), by D. R. Cox, Christl A. Donnelly 2011 ISBN-10: 1107644453 | ISBN-13: 978-1107644458 |
References: | Introductory Statistics with R Peter Dalgaard 2011 ISBN 978-0-387-79053-4 |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 30 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 30 | |
PERCENTAGE OF FINAL WORK | % 70 | |
Total | % 100 |
Activities | Number of Activities | Workload |
Course Hours | 14 | 42 |
Study Hours Out of Class | 14 | 42 |
Project | 1 | 30 |
Midterms | 1 | 40 |
Final | 1 | 50 |
Total Workload | 204 |
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 | 2 |
2) | To have the ability for problem solving and to utilize analytical approach in dealing with the problems of finance | 1 |
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 | 2 |
5) | To be able to apply theoretical principles of finance to the realities of practical business life | 1 |
6) | To develop solutions for managerial problems by understanding the requirements of international financial markets | 2 |
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 | 2 |
9) | To have the competencies of the digital age and to use the necessary financial applications | 2 |
10) | To be able to use at least one foreign language both for communication and academic purposes | 1 |
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 | 2 |
12) | To develop an objective criticism in business and academic life and having a perspective to self-criticize | 2 |