Course Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  140400106104  MATHEMATICAL ECONOMICS  Elective  3  6  4 

Level of Course Unit 
First Cycle 
Objectives of the Course 
A course on "Mathematical Economics" aims to give students necessary analytical tools and skills of Mathematics that help to understand and solve economic models like market model, national income model, etc. 
Name of Lecturer(s) 

Learning Outcomes 
1  To be able to determine the endogenous and exogenous variables of economic models.  2  To be able to determine the endogenous and exogenous variables of economic models.  3  To be able to solve the equation systems for the equilibrium analysis.  4  To be able to solve the equation systems for the equilibrium analysis.  5  To be able to use matrix algebra in order to solve the linear equation systems.  6  To be able to use matrix algebra in order to solve the linear equation systems.  7  Learn the use of differentiation techniques for the comparative static analysis.  8  Learn the use of differentiation techniques for the comparative static analysis.  9  To be able to determine the optimum values of an economic variable in nonconstraint and constraint cases.  10  To be able to determine the optimum values of an economic variable in nonconstraint and constraint cases. 

Mode of Delivery 
Daytime Class 
Prerequisites and corequisities 
NONE 
Recommended Optional Programme Components 

Course Contents 
Equilibrium analysis, linear models and matrix algebra, rules of differentiation and their use in comparative statics, optimization problems. 
Weekly Detailed Course Contents 

1  Chapter 1 & Chapter 2: The Nature of Mathematical Economics & Economic Models    2  Chapter 3: Equilibrium Analysis in Economics    3  Chapter 3: Equilibrium Analysis in Economics    4  Chapter 4: Linear Models and Matrix Algebra    5  Chapter 4: Linear Models and Matrix Algebra    6  Chapter 5: Linear Models and Matrix Algebra (continued)    7  Chapter 5: Linear Models and Matrix Algebra (continued)    8     9  Chapter 7: Rules of Differentiation and Their Use in Comparative Statistics    10  Chapter 7: Rules of Differentiation and Their Use in Comparative Statistics    11  Chapter 9: Optimization: A Special Variety of Equilibrium Analysis    12  Chapter 9: Optimization: A Special Variety of Equilibrium Analysis    13  Chapter 12: Optimization with Equality Constraints    14  Chapter 12: Optimization with Equality Constraints   

Recommended or Required Reading 

Planned Learning Activities and Teaching Methods 

Assessment Methods and Criteria  
Midterm Examination  1  100  SUM  100  
Final Examination  1  100  SUM  100  Term (or Year) Learning Activities  40  End Of Term (or Year) Learning Activities  60  SUM  100 
 Language of Instruction   Work Placement(s)  

Workload Calculation 