Applied Microeconomics (ECON504) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Applied Microeconomics ECON504 General Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language Turkish
Course Type Elective Courses
Course Level Social Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Brain Storming.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Dersin Öğretim Üyesi
Course Assistants
Course Objectives 1. To introduce the applications in Microeconomics 2. To endow the students with the required statistical and econometric tools
Course Learning Outcomes The students who succeeded in this course;
  • To learn the applications in microeconomics
  • To gain the required statistical and econometric tools to analyze microeconomic issues
Course Content Introduction to Stata, applied analyses in regression models, applied analyses in qualitative information, applied analyses in heterosckedasticity, basic regression analysis with time series data, serial correlation in time series regressions, applications of simple panel data methods, applications of advanced panel data methods.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Stata I Handouts
2 Introduction to Stata II Handouts
3 Introduction to Stata III Handouts
4 Applied Analyses in Regression Models I Wooldridge, p. 22-100
5 Applied Analyses in Regression Models II Wooldridge, p. 100-167
6 Applied Analyses in Qualitative Information Wooldridge, p. 225-264
7 Applied Analyses in Heterosckedasticity Wooldridge, p. 264-300
8 Midterm
9 Basic Regression Analysis with Time Series Data I Wooldridge, p. 340-360
10 Basic Regression Analysis with Time Series Data II Wooldridge, p. 360-377
11 Serial Correlation in Time Series Regressions Wooldridge, p. 408-443
12 Applications of Simple Panel Data Methods I Wooldridge, p. 444-460
13 Applications of Simple Panel Data Methods II Wooldridge, p. 460-481
14 Applications of Advanced Panel Data Methods I Wooldridge, p. 481-495
15 Applications of Advanced Panel Data Methods II Wooldridge, p. 495-506.

Sources

Course Book 1. Introductory Econometrics, Jeffrey Wooldridge; South-Western; 2009.
Other Sources 2. An Introduction to Stata Programming, Christopher F. Baum; Stata Press, 2009.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 10 5
Presentation 1 15
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 35
Final Exam/Final Jury 1 45
Toplam 13 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Develop understanding of translation theories, concepts and history, and their application to the processes used in translating
2 Develop critical knowledge and understanding of current issues, European Union and international relations, law and technical issues in terms of translation studies
3 Detect, define, formulate and solve the problems to be encountered in translation process
4 Acquire the skills of translation analysis, criticism and hermeneutics
5 Develop critical understanding of international affairs and cultural studies regarding to profession of translation
6 Improve skills of research techniques, use CAT tools, databases and other printed and electronic devices and sources efficiently
7 Develop efficient individual and group working skills, build self-confidence for taking responsibility and acquire powerful communication skills.
8 Build awareness for life-long learning; to catch the developments in science and technology and sustain continuous personal development.
9 Acquire knowledge on ethical and professional issues in translation
10 Build awareness about project management and the rights of employees and the legal consequences of translation applications.
11 Build awareness about the universal and societal dimensions of translation studies and gather information about the problems of the contemporary World.
12 Improve skills to use source and target languages fluently in presentations and academic studies
13 Acquire knowledge on terminology management and global translation quality standards at a professional level

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 4 64
Presentation/Seminar Prepration
Project
Report
Homework Assignments 10 1 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 99