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Course Name : Research Methods
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Degree: Bachelor
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Code
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Year/Semester
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Local Credits
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ECTS Credits
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Course Implementation, Hours/Week
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Course
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Tutorial
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Laboratory
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UIT 224
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2/2 (spring)
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3.5
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7
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3
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1
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0
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Department
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Economics and Finance
Department of International Management and Trade
Department of Maritime Business Management
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Instructors
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Assist. Prof. Dr. Mehmet Güney Celbiş
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Contact Information
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e-mail: mgcelbis@pirireis.edu.tr
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Office Hours
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Tuesday 10:00-12:00
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Web page
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http://www.pirireis.edu.tr/pruonline/www/index.php
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Course Type
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Compulsory
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Course Language
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English
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Course Prerequisites
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EF 214
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Course Category by Content, %
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Core Discipline
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Core conomics and Finance
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Economic Analysis
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Humanities and Social Sciences
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20
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30
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20
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30
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Course Description
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This course is essentially a continuation of the Statistics course from the previous
Semester. Focusing more on applications, students are required to prepare a presentation using the techniques covered in the course. By the end of the course, students should have a fair understanding of collecting, analyzing, and interpreting statistical data. Fundamentals that will be essential in the econometrics course will be emphasized. Lab exercises using Excel will be introduced following each theoretical lecture.
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Course Objectives
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The essence of research design and the application of several quantitative methods are conveyed on the development of a basic proposal into a testable question followed by a thorough analysis, interpretation and a discussion of the final results. Hence the course being not only theoretically but also practically involving. Course objectives include topics such as chi-square, correlation, regression and hypothesis testing.
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Course Learning Outcomes
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Students who successfully pass UIT 224:
- Will have internalized fundamental concepts in research methods.
- Will be able to select the appropriate methodology depending on the type of data and research question.
- Will be able to conduct estimations and identify causation.
- Will be able to relate findings of results with scientific research.
- Will be able to share findings and recommendations related to the her/his field with expert and non-expert audiences based on data.
- Will operate according to social, scientific, and ethical values when collecting data related to the field, their analysis in computerized environments, interpretation, and the presentation of results.
- Will be able to calculate and interpret empirical results in computerized environments.
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Instructional Methods and Techniques
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The presentation of theory and computer applications
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Tutorial Place
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-
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Co-term Condition
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-
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Textbook
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Essential Statistics, Regression, and Econometrics. Gary Smith/ ISBN:978-0-12-382221-5
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Other References
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Course notes and exercises are shared with students through the web links provided in the course syllabus.
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Homework & Projects
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Each week, students must complete computer exercises following the theoretical lecture.
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Laboratory Work
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Computer Use
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Each week computer skills will be employed regarding relevant methods.
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Other Activities
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a quiz and midterm will take place
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