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  Course Description
Course Name : Introduction To Mathematical Economics - I

Course Code : İSB213

Course Type : Compulsory

Level of Course : First Cycle

Year of Study : 2

Course Semester : Fall (16 Weeks)

ECTS : 5

Name of Lecturer(s) : Prof.Dr. HÜSEYİN MAHİR FİSUNOĞLU

Learning Outcomes of the Course : Understanding the economic problem.
Evaulating the premarket economy.
Learning about industrial revolution.
Price theory.
Consumer theory and producer theory.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : This is a one semester course in economics. The emphasis of the course will be developing set of tools and the application of their customer behaviour.

Course Contents : Understanding the economic problem.

Language of Instruction : Turkish

Work Place : Faculty


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 INTRODUCTION Studying textbooks Lecture
2 Introduction to the market economy Studying textbooks Lecture
3 Price mechanism: Demand, Supply and Price Studying textbooks Lecture, problem session, and case studies
4 Elasticity Studying textbooks Lecture, problem session, and case studies
5 The price control of government Studying textbooks Lecture, problem session, and case studies
6 The theory of consumer behavior Studying textbooks Lecture, problem session, and case studies
7 Production and Costs Studying textbooks Lecture, problem session, and case studies
8 Midterm Studying textbooks Written Exam
9 Perfect Competition Market Studying textbooks Lecture, problem session, and case studies
10 Monopoly Studying textbooks Lecture, problem session, and case studies
11 Monopoly Studying textbooks Lecture, problem session, and case studies
12 Monopolistic Competition Market Studying textbooks Lecture, problem session, and case studies
13 Monopolistic Competition Market Studying textbooks Lecture, problem session, and case studies
14 Oligopoly Studying textbooks Lecture, problem session, and case studies
15 Oligopoly Studying textbooks Lecture, problem session, and case studies
16/17 Final Exam Studying textbooks Written Exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  By Michael Parkin, Microeconomics - Macroeconomics, 5th Edition.
 
 
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 60
    Homeworks/Projects/Others 6 40
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Utilize computer systems and softwares 4
2 Apply the statistical analyze methods 1
3 Make statistical inference(estimation, hypothesis tests etc.) 4
4 Generate solutions for the problems in other disciplines by using statistical techniques 4
5 Discover the visual, database and web programming techniques and posses the ability of writing programme 1
6 Construct a model and analyze it by using statistical packages 2
7 Distinguish the difference between the statistical methods 2
8 Be aware of the interaction between the disciplines related to statistics 1
9 Make oral and visual presentation for the results of statistical methods 2
10 Have capability on effective and productive work in a group and individually 3
11 Develop scientific and ethical values in the fields of statistics-and scientific data collection 0
12 Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 5
13 Emphasize the importance of Statistics in life 4
14 Define basic principles and concepts in the field of Law and Economics 4
15 Produce numeric and statistical solutions in order to overcome the problems 3
16 Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 1
17 Use proper methods and techniques to gather and/or to arrange the data 1
18 Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs 0
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
    Homeworks, Projects, Others 6 2 12
    Mid-term Exams (Written, Oral, etc.) 1 10 10
    Final Exam 1 15 15
Total Workload: 121
Total Workload / 25 (h): 4.84
ECTS Credit: 5