Mathematics for Economists - JEB117

• Anglický název: Mathematics for Economists
• Zajišťuje: Institut ekonomických studií (23-IES)
• Fakulta: Fakulta sociálních věd
• Platnost: od 2022
• Semestr: letní
• E-Kredity: 6
• Způsob provedení zkoušky: letní s.:
• Rozsah, examinace: letní s.:2/2, Zk [HT]
• Počet míst: neurčen / neurčen (110)
• Minimální obsazenost: neomezen
• 4EU+: ne
• Virtuální mobilita / počet míst pro virtuální mobilitu: ne
• Stav předmětu: zrušen
• Jazyk výuky: angličtina
• Způsob výuky: prezenční
• Způsob výuky: prezenční
• Další informace: http://ies.fsv.cuni.cz/en/syllab/JEB117
• Poznámka: předmět je možno zapsat mimo plán; povolen pro zápis po webu; při zápisu přednost, je-li ve stud. plánu
• Garant: Mgr. Lei Ba
• Třída: Courses for incoming students

Anotace

čeština

Poslední úprava: PhDr. Petr Bednařík, Ph.D. (15.02.2020)

This course provides a comprehensive introduction to the mathematical tools and aims to familiarize students with mathematical methods most often used by economists. Wherever possible, familiar micro and macro models will be used to place these tools in economic context.

angličtina

Poslední úprava: SCHNELLEROVA (19.11.2019)

This course provides a comprehensive introduction to the mathematical tools and aims to familiarize students with mathematical methods most often used by economists. Wherever possible, familiar micro and macro models will be used to place these tools in economic context.

Literatura

čeština

Poslední úprava: PhDr. Petr Bednařík, Ph.D. (15.02.2020)

Textbooks

Main:

[D] Dadkhan, K. (2007) Foundations of Mathematical & Computational Economics

[SH] Sydsæter, K. and Hammond, P. (2006) Essential Mathematics for Economic Analysis, 2nd edition

[W] Wisniewski, M. (1991) Introductory Mathematical Methods in Economics

Additional:

Chiang, A.C. and Wainwrite, K. (2005) Fundamental Methods of Mathematical Economics, 4th edition

Vinogradov, V. (2010) Mathematics for Economists Made Simple, Karolinum Press

Sydsæter, K., Hammond, P., Seierstad A. and Strom A. (2008) Further Mathematics for Economic Analysis, 2nd edition

Simon, C.P. and Blume, L. (1994) Mathematics for Economists

 

angličtina

Poslední úprava: SCHNELLEROVA (19.11.2019)

Textbooks

Main:

[D] Dadkhan, K. (2007) Foundations of Mathematical & Computational Economics

[SH] Sydsæter, K. and Hammond, P. (2006) Essential Mathematics for Economic Analysis, 2nd edition

[W] Wisniewski, M. (1991) Introductory Mathematical Methods in Economics

Additional:

Chiang, A.C. and Wainwrite, K. (2005) Fundamental Methods of Mathematical Economics, 4th edition

Vinogradov, V. (2010) Mathematics for Economists Made Simple, Karolinum Press

Sydsæter, K., Hammond, P., Seierstad A. and Strom A. (2008) Further Mathematics for Economic Analysis, 2nd edition

Simon, C.P. and Blume, L. (1994) Mathematics for Economists

Course outline

Mathematics, Computation, and Economics

Basic Mathematical Concepts and Methods

Basic Concepts and Methods of Probability Theory and Computation

Vectors and Matrices, Advanced Topics in Matrix Algebra

Differentiations: Functions of One Variable

Differentiations: Functions of Several Variables

The Taylor Series and Its Applications

Static Optimization, Constrained Optimization

Integration

Dynamic Optimization

Differential Equations, Difference Equations

 

Požadavky ke zkoušce

čeština

Poslední úprava: SCHNELLEROVA (25.10.2019)

Please switch to the english version.

angličtina

Poslední úprava: Mgr. Lei Ba (29.03.2021)

Your grade for the course depends on your performance on midterm and final exams. The distribution of points is provided in the following table:

Final exam*	100
Midterm exam**	None
	100

90-100  1 

75-89    2 

60-74    3 

<60       4 

Sylabus

Poslední úprava: PhDr. Petr Bednařík, Ph.D. (15.02.2020)

Course outline

Mathematics, Computation, and Economics

Basic Mathematical Concepts and Methods

Basic Concepts and Methods of Probability Theory and Computation

Vectors and Matrices, Advanced Topics in Matrix Algebra

Differentiations: Functions of One Variable

Differentiations: Functions of Several Variables

The Taylor Series and Its Applications

Static Optimization, Constrained Optimization

Integration

Dynamic Optimization

Differential Equations, Difference Equations