ECTS - Economic Indicators and Financial Markets Analysis

Economic Indicators and Financial Markets Analysis (ECON325) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Economic Indicators and Financial Markets Analysis ECON325 General Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Drill and Practice, Team/Group.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Mehmet Fatih Ekinci
Course Assistants
Course Objectives The principal objective of ECON 325 is to discuss how to use and interpret economic indicators. Focusing on Turkish data, the course will overview the fundamental concepts of economic data. Furthermore, the course will provide fundamental concepts of portfolio management with a special emphasis on the stock market.
Course Learning Outcomes The students who succeeded in this course;
  • The main indicators used in the economy, to teach how to evaluate basic indicators with relevant economic analysis.
  • Addressing the implementation of economic policies
Course Content Financial literacy, basic concepts of economic indicators, the impact of economic indicators on the financial markets, stock market structure and trading strategies.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation

Sources

Course Book 1. Ders Notları
Other Sources 2. "Göstergeler Ne Anlatır? Türkiye İçin İktisadi Göstergeler Rehberi", Fatih Akyıldız, İstanbul Bilgi Üniversitesi Yayınları.
3. "Yatırım Analizi ve Portföy Yönetimi", Mehmet Baha Karan, Gazi Kitabevi.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics 2 20
Homework Assignments - -
Presentation - -
Project 1 40
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 40
Final Exam/Final Jury - -
Toplam 4 100
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 An ability to apply knowledge in mathematics and basic sciences and computational skills to solve manufacturing engineering problems
2 An ability to define and analyze issues related with manufacturing technologies
3 An ability to develop a solution based approach and a model for an engineering problem and design and manage an experiment
4 An ability to design a comprehensive manufacturing system based on creative utilization of fundamental engineering principles while fulfilling sustainability in environment and manufacturability and economic constraints
5 An ability to chose and use modern technologies and engineering tools for manufacturing engineering applications
6 An ability to utilize information technologies efficiently to acquire datum and analyze critically, articulate the outcome and make decision accordingly
7 An ability to attain self-confidence and necessary organizational work skills to participate in multi-diciplinary and interdiciplinary teams as well as act individually
8 An ability to attain efficient communication skills in Turkish and English both verbally and orally
9 An ability to reach knowledge and to attain life-long learning and self-improvement skills, to follow recent advances in science and technology
10 An awareness and responsibility about professional, legal, ethical and social issues in manufacturing engineering
11 An awareness about solution focused project and risk management, enterpreneurship, innovative and sustainable development
12 An understanding on the effects of engineering applications on health, social and legal aspects at universal and local level during decision making process

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