ECTS - Introduction to Economics II

Introduction to Economics II (ECON102) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Introduction to Economics II ECON102 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Discussion, Question and Answer, Drill and Practice.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Eşref Uğur Çelik
Course Assistants
Course Objectives The principal objective of ECON 102 is to introduce students macroeconomics. Course focuses on introducing key macroeconomic variables such as GDP, unemployment, interest rate and inflation, defines the money and its role. It also analyses the economic polices and their effects on economy. Learning these topics will help the students to understand the basic functioning of the economy.
Course Learning Outcomes The students who succeeded in this course;
  • To understand the basic themes in macroeconomics.
  • To set the fundamentals of macroeconomics that will be used in the further courses.
  • To learn how to apply the economic way of thinking to a variety of issues.
Course Content Aggregate demand, aggregate supply, unemployment, inflation, aggregate expenditure, aggregate income models, fiscal policy, money demand, money supply, monetary policy, multiplier.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Macroeconomics Case & Fair 7th Edition, pp. 375-390
2 Measuring National Output and National Income (Chapter 18) Case & Fair 7th Edition, pp. 391-410
3 Long-Run and Short-Run Concerns [Case and Fair (Chapter 19) Case & Fair 7th Edition, pp. 411-430
4 Aggregate Expenditure and Equilibrium Output (Chapter 20) Case & Fair 7th Edition, pp. 431-452
5 The Government and Fiscal Policy (Chapter 21) Case & Fair 7th Edition, pp. 453-474
6 The Government and Fiscal Policy (Chapter 21) continued Case & Fair 7th Edition, pp. 453-474
7 The Money Supply and the Central Bank System (Chapter 22) Case & Fair 7th Edition, pp. 475-498
8 Midterm
9 Money Demand, Equilibrium Interest Rate, Monetary Policy (Chapter 23) Case & Fair 7th Edition, pp. 499-514
10 Money, Interest Rate and Output: Analysis and Policy (Chapter 24)] Case & Fair 7th Edition, pp. 515-532
11 Aggregate Demand, Aggregate Supply and Inflation (Chapter 25) Case & Fair 7th Edition, pp. 533-556
12 The Labor Market, Unemployment and Inflation (Chapter 26) Case & Fair 7th Edition, pp. 557-574
13 Long-Run Growth (Chapter 30) Case & Fair 7th Edition, pp. 631-648
14 Open Economy Macroeconomics (Chapter 33) Case & Fair 7th Edition, pp. 687-712
15 Debates in Macroeconomics (Chapter 31) Case & Fair 7th Edition, pp. 649-664
16 Final Exam

Sources

Course Book 1. Case, Karl E. and Fair, Ray C., Principles of Economics, 7th or 8th Edition, Pearson/Prentice Hall.
2. Taylor, John B. (2004) Economics, 4th Edition, Houghton Mifflin

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics 2 5
Homework Assignments 8 5
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 35
Final Exam/Final Jury 1 50
Toplam 13 100
Percentage of Semester Work 50
Percentage of Final Work 50
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 computing fields; ability to apply theoretical and practical knowledge of these fields in solving engineering problems related to information systems. X
2 Ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose.
3 Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose.
4 Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in information systems engineering applications; ability to use information technologies effectively.
5 Ability to gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the information systems discipline.
6 Ability to work effectively in inter/inner disciplinary teams; ability to work individually.
7 a. Effective oral and written communication skills in Turkish; ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. b. Knowledge of at least one foreign language; ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8 Recognition of the need for lifelong learning; the ability to access information and follow recent developments in science and technology with continuous self-development.
9 a. Ability to behave according to ethical principles, awareness of professional and ethical responsibility. b. Knowledge of the standards utilized in information systems engineering applications.
10 a. Knowledge on business practices such as project management, risk management and change management. b. Awareness about entrepreneurship, and innovation. c. Knowledge on sustainable development.
11 a. Knowledge of the effects of information systems engineering applications on the universal and social dimensions of health, environment, and safety. b. Awareness of the legal consequences of engineering solutions.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 4 64
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 1 5
Quizzes/Studio Critics 4 1 4
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury
Total Workload 121