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Program Type: 
Thesis
Non Thesis
Course Code: 
FE 626
P: 
3
Lab: 
0
Credits: 
3
ECTS: 
10
Course Language: 
English
Course Objectives: 

The idea of ​​explaining economic phenomena with physics is not as new as one might think. In the second half of the century, Pareto, an Italian engineer who spent many years of his career in Switzerland, turned to economics, armed with a good knowledge of classical Newtonian mechanics and a keen desire to describe social motions as physics describes the motion of the planets. Thus, he took the first important steps in this regard. Indeed, Pareto liked to compare Kepler's laws with new economic laws yet to be discovered. The Pareto law of wealth distribution is now a standard piece of economic information. However, the reduction of economic laws to something akin to Newton's laws of mechanics remained a dream come true for some people and a Fata Morgana for others. However, physics changed completely after the discovery of the theory of relativity and quantum mechanics at the beginning of the 20th century. Naturally, the question arose: If the old Newtonian physics were found insufficient to explain complex systems such as society and the economy, does the same hold true for the new physics of Einstein and Schrödinger? Or does the new physics open up new ways of understanding complexity scientifically? This course is designed as an interdisciplinary field of study that applies the methods of physical and economic sciences together.

Course Content: 

The course content is as follows, week by week: Introduction, Empirical Econophysics and Stylized Phenomena, Stochastic Models, Basic Factor Models, Orderbook Dynamics, Minority Game, Network Economics; Wealth, Poverty and Growth, Pareto and Gilbrat Laws, Singular Income, Business Growth, Social Organization.

Teaching Methods: 
1: Lecture, 2: Question-Answer, 3: Discussion, 4: Simulation, 5: Case Study
Assessment Methods: 
A: Testing, B: Experiment, C: Homework, Q: Quiz

Vertical Tabs

Course Learning Outcomes

Learning Outcomes Programme Learning Outcomes Teaching Methods Assessment Methods
Have an idea about interdisciplinary studies 1,2,3,5 1,2,3 A, C
Comprehends the terms of econophysics 1,2,3,5 1,2,3 A, C
Can analyze situations with an understanding of econophysics 1, 5 1,2,3 A, C

Course Flow

COURSE CONTENT
Week Topics Study Materials
1 Introduction  
2 Empirical Econophysics and Stylized Facts  
3 Stochastic Models  
4 Key Factor Models  
5 Orderbook Dynamics  
6 Minority Game  
7 Midterm Exam  
8 Network Economy  
9 Wealth, Poverty and Growth  
10 Pareto and Gilbrat Laws  
11 Single Income  
12 Businesses  
13 Social Organization  
14 End of Term Studies  
15 Final  

Recommended Sources

RECOMMENDED SOURCES
Textbook Essentials of Econophysics Modelling, Frantiˇsek Slanina, 2014, Oxford University Press
Additional Resources Course Notes Course website, lecture notes, financial markets laboratory, financial calculator, online resources, excel type software.

Material Sharing

MATERIAL SHARING
Documents Guidelines and additional examples for Lecture Topics and Homework Assignments
Assignments Homework assignments
 
Exams Midterm Exam and Final Exam

Assessment

ASSESSMENT
IN-TERM STUDIES NUMBER PERCENTAGE
Mid-Term 1 20
Class Performance 6 20
Final Exam 1 60
  Total 100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL
GRADE
  60
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL
GRADE
  40
  Total 100
 
COURSE CATEGORY Expertise/Field Courses

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAMME
No Program Learning Outcomes Contribution
1 2 3 4 5
1 To comprehend the basic principles of finance and to be able to apply these principles in national and international areas.          X
2 To use modern information technologies and current financial tools effectively.        X  
3 To comprehend the ethical rules and social responsibility understanding accepted by financial professional organizations and to apply them in the decisions to be taken.    X      
4 To have the infrastructure that will enable them to do business in multicultural, multilingual and interdisciplinary environments.      X    
5 To have information about the markets and the functioning of the markets and to analyze the developments in these markets.     X X  
6 To recognize the management tools and models specific to multinational companies and to be able to apply them where necessary.          
7  To understand the structure of the global economic system and to analyze how new developments will affect this structure.   X      
8 To be able to use the ability of critical thinking in the decision making process.    X      
9 To transfer the acquired leadership, teamwork and communication skills to the lifelong learning process.           
10 To be able to manage the process with analytical and creative approaches by anticipating the opportunities and problems that dynamic working conditions may create.           

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Including the exam week: 15x Total
course hours/week)
16 3 48
Hours for off-the-classroom study (Pre-study, practice,
review/week)
16 4 96
Homework 5+1(Proje) 60 60
Mid-term  1 10 20
Final 1 15 30
Total Work Load     254
Total Work Load / 25 (h)     10.16
ECTS Credit of the Course     10