ECONOMICS AND 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) | Build up a body of knowledge in mathematics and statistics, to use them, to understand how the mechanism of economy –both at micro and macro levels – works. | 3 |
2) | Understand the common as well as distinctive characters of the markets, industries, market regulations and policies. | 2 |
3) | Develop an awareness of different approaches to the economic events and why and how those approaches have been formed through the Economic History and understand the differences among those approaches by noticing at what extent they could explain the economic events. | 1 |
4) | Analyze the interventions of politics to the economics and vice versa. | 3 |
5) | Apply the economic analysis to everyday economic problems and evaluate the policy proposals for those problems by comparing opposite approaches. | 2 |
6) | Understand current and new economic events and how the new approaches to the economics are formed and evaluating. | 2 |
7) | Develop the communicative skills in order to explain the specific economic issues/events written, spoken and graphical form. | 3 |
8) | Know how to formulate the economics problems and issues and define the solutions in a well-formed written form, which includes the hypothesis, literature, methodology and results / empirical evidence. | 2 |
9) | Demonstrate the quantitative and qualitative capabilities and provide evidence for the hypotheses and economic arguments. | 2 |
10) | Understand the information and changes related to the economy by using a foreign language and communicate with colleagues. | 3 |