Mathematics for Economists - JEB117

• Title: Mathematics for Economists
• Guaranteed by: Institute of Economic Studies (23-IES)
• Faculty: Faculty of Social Sciences
• Actual: from 2019 to 2020
• Semester: summer
• E-Credits: 6
• Examination process: summer s.:
• Hours per week, examination: summer s.:2/2, Ex [HT]
• Capacity: 110 / 110 (110)
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: taught
• Language: English
• Teaching methods: full-time
• Teaching methods: full-time
• Additional information: http://ies.fsv.cuni.cz/en/syllab/JEB117
• Note: course can be enrolled in outside the study plan; enabled for web enrollment; priority enrollment if the course is part of the study plan
• Guarantor: Mgr. Lei Ba
• Teacher(s): Mgr. Lei Ba
• Class: Courses for incoming students

Annotation

English

Last update: 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.

Czech

Last update: PhDr. Petr Bednařík, Ph.D. (15.02.2020)

Please switch to the english version.

Literature

English

Last update: 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

 

Czech

Last update: PhDr. Petr Bednařík, Ph.D. (15.02.2020)

Please switch to the english version.

Requirements to the exam

English

Last update: 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 

Czech

Last update: SCHNELLEROVA (25.10.2019)

Please switch to the english version.

Syllabus

Last update: PhDr. Petr Bednařík, Ph.D. (15.02.2020)

Please switch to the english version.