STAT480 APPL.OF STAT.TECH.IN SOCIO-ECON.RESEARCH
| Course Code: | 2460480 |
| METU Credit (Theoretical-Laboratory hours/week): | 4 (3.00 - 2.00) |
| ECTS Credit: | 8.0 |
| Department: | Statistics |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | |
| Offered Semester: | Fall Semesters. |
Course Objectives
Students will learn:
. How to formulate a socio-economic problem,
. What is the appropriate research design for this problem?
. How to collect data?
. How to analyze these data?
. What are the appropriate statistical methods for the data?
. How to interpret findings?
Course Content
Principles of Empirical socio-economic research, formulation of research problems, determination of research design, application of sampling design, strategies of field work, collection of data, improving data quality, selecting appropriate statistical methods, evaluation of test of hypotheses and interpretation of findings, preparation of a research report.
Course Learning Outcomes
During the course, students will deal with the real life examples.Therefore, students will be able to:
. formulate complex socio-economic problem,
. find appropriate statistical methods for analyzing and modeling data of the socio-economic problem,
. help decision making process.
Program Outcomes Matrix
| Level of Contribution | |||||
| # | Program Outcomes | 0 | 1 | 2 | 3 |
| 1 | Applying the knowledge of statistics, mathematics and computer to statistical problems 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 | Taking part in intradisciplinary and interdisciplinary teamwork, using time efficiently, taking leadership responsibilities and being entrepreneurial. | ✔ | |||
| 7 | Taking responsibility in individual work and offering authentic solutions. | ✔ | |||
| 8 | Following contemporary developments and publications in statistical science, conducting research, being open to novelty and thinking critically. | ✔ | |||
| 9 | Efficiently communicating in Turkish and English to define and analyze statistical problems and to interpret the results. | ✔ | |||
| 10 | Having a professional and ethical sense of responsibility. | ✔ | |||
| 11 | Developing computational solutions to statistical problems that cannot be solved analytically. | ✔ | |||
| 12 | Having theoretical background and developing new theories in statistics, building relations between theoretical and practical knowledge. | ✔ | |||
| 13 | Serving the society with the expertise in the field. | ✔ | |||
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution