ECO1163 Research Methods and Statistics IBahçeşehir UniversityDegree Programs ECONOMICS AND FINANCEGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ECONOMICS AND 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
ECO1163 Research Methods and Statistics I Fall 3 0 3 8

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 SERKAN YEŞİLYURT
Course Objectives: This course provides a basic review of descriptive and inferential statistics and how these techniques are used with research methods appropriate for social sciences studies. Students will become proficient in computer analysis of data sets, designing and evaluating research designs and techniques, and having the skills to understand primary research in counseling literature. The course has three overarching objectives. First, students learn to evaluate existing studies. Students achieve this objective by reviewing articles in-class, analyzing a series of articles in five BlackBoard modules on evidence-based practice, and completing a Research Article Analysis assignment. Second, students learn to design research in practice settings. Students achieve this objective by completing a Research Study/Project Design, working collaboratively in-class to write a formal research proposal over the course of several weeks using a problem-based learning format. Third, students learn to conduct needs assessments and program evaluations in practice settings. Students achieve this objective by performing in-class needs assessments and program evaluations, creating databases, computing statistics, and applying this knowledge to complete the Sample Program Evaluation assignment.

Learning Outcomes

The students who have succeeded in this course;
1. Applying the knowledge of statistics, mathematics and computer to statistical problems (Excel, R, Stata, Eviews and Matlab) and developing analytical solutions.
2. Defining, modeling and solving real life problems that involve uncertainty, and interpreting results.
3. To decide on the data collection technique, and apply it through experiment, observation, questionnaire or simulation.
4. Analysing small and big volumes of data and interpreting results.
5. Utilizing up-to-date techniques, computer hardware and software required for statistical applications; developing software programs and numerical solutions for specific problems when necessary.
6. Constructing research proposal.
7. Using data for academic research.
8. Following contemporary developments and publications in statistical science, conducting research, being open to novelty and thinking critically.
9. Developing computational solutions to statistical problems that cannot be solved analytically.
10. Having theoretical background and developing new theories in statistics, building relations between theoretical and practical knowledge.

Course Content

1-How to use statistics in finance and business
2-Tables and graphs for numerical data
3-What should be considered to prepare a good graphics
4-Descriptive numerical statistics
5-Data standardization and box diagram
6-Basic probability
5- How to do a research
6-How to create a research paper 7. How to access and work with data

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Review Syllabus, Overview of Research
2) Basic Excel Techniques
3) Tables and charts
4) Organizing data
5) Analyzing Data
6) Descriptive Statistics
7) Descriptive Statistics
8) Olasılık tabloları
9) Contingency Tables
10) Preparation of a report using Excel
11) Preparation of a report using Excel
12) Preparation of a report using Excel
13) Student Presentations
14) Student Presentations

Sources

Course Notes / Textbooks: Research Methods, Statistics, and Applications, by Kathrynn A. Adams and Eva K. Lawrence.
RESEARCH METHODS AND STATISTICS: A CRITICAL THINKING APPROACH, Sherri L. Jackson
References: Research Methods, Statistics, and Applications, by Kathrynn A. Adams and Eva K. Lawrence.
RESEARCH METHODS AND STATISTICS: A CRITICAL THINKING APPROACH, Sherri L. Jackson

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Quizzes 1 % 15
Project 1 % 40
Final 1 % 45
Total % 100
PERCENTAGE OF SEMESTER WORK % 15
PERCENTAGE OF FINAL WORK % 85
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 3 42
Quizzes 2 30 60
Midterms 1 25 25
Final 1 30 30
Total Workload 199

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) 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. 5
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. 1
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. 3
7) Develop the communicative skills in order to explain the specific economic issues/events written, spoken and graphical form. 4
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. 5
9) Demonstrate the quantitative and qualitative capabilities and provide evidence for the hypotheses and economic arguments. 5
10) Understand the information and changes related to the economy by using a foreign language and communicate with colleagues. 3