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 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors.
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices.
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills.
4 Acquires analytical thinking and uses time effectively in the process of deduction.
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively.
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes.
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning.
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team.
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields.
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data.
11 Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications.

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