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 Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems.
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose.
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively.
5 The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline.
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually
7 Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
8 The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
9 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology.
10 The ability to behave according to ethical principles, awareness of professional and ethical responsibility;
11 Knowledge of the standards utilized in software engineering applications
12 Knowledge on business practices such as project management, risk management and change management; X
13 Awareness about entrepreneurship, innovation
14 Knowledge on sustainable development
15 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety;
16 Awareness of the legal consequences of engineering solutions
17 An ability to describe, analyze and design digital computing and representation systems.
18 An ability to use appropriate computer engineering concepts and programming languages in solving computing problems.

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