ECTS - Non-Departmental Elective

Non-Departmental Elective (SBE-ECON-GE1FA1) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Non-Departmental Elective SBE-ECON-GE1FA1 0 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Social Sciences Master's Degree
Mode of Delivery
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives
Course Learning Outcomes The students who succeeded in this course;
Course Content

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury - -
Final Exam/Final Jury - -
Toplam 0 0
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 To compare main microeconomic theories, approaches and make a critical evaluation of each
2 To compare main macroeconomic theories, approaches and make a critical evaluation of each
3 To apply mathematical modeling
4 To employ statistical and econometric tools in analyzing an economic phenomena
5 To analyze the main economic indicators and comment on them
6 To acquire theoretical knowledge through literature survey and derive empirically confirmable hypothesis
7 To make a research design and carry it out within predetermined time frames
8 To be able to develop new approaches for complex problems in applied economics and/or apply statistical/econometric tools to new areas/problems
9 To formulate and present policy recommendations based on academic research
10 To combine economic knowledge with other disciplines in order to solve problems requiring scientific expertise
11 To use information technology effectively
12 To continue learning and undertake advanced research independently

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
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury
Total Workload 0