Mathematics for Economists I

Mathematics for Economists I

Course ID:

ECO_111Ν

Semester: 1st

Year of Study:

Category: Compulsory

For Erasmus Students:

Learning Outcomes

Basic mathematical concepts such as sets, functions and introduction to differential – integral calculus and optimization theory (functions of one variable without limitations) are presented. Emphasis is placed on the understanding and use of mathematics in economic analysis and the development of model solving serving applications in the areas of economic science.

Upon successful completion of the course the student will be able to:

1) Knowledge

  • understand concepts of economic theory using mathematical methods

2) Skills

  • use of Excel for introductory level calculations and presentations
  • use of mathematical methods in economic science (e.g. modeling)

3) Capabilities

  • uses of different ways of thinking (e.g. inductive, productive) to develop specific problem-solving strategies
  • presents technical results in a clear and comprehensible manner

Course Contents

  • Sets, Numbers
  • Functions
  • Continuity, Introduction to limits, Introduction to the differentiation of univariate functions – Chain rule – Elasticity applications
  • Indeterminate limits (L’Hôpital’s rule)
  • The concept of differential, higher order derivatives, higher order differentials
  • Function analysis using derivatives – Optimization (Maximization and minimization) of univariate functions
  • Taylor approximation
  • Economic applications
  • Integration, Integration Methods, Definite, indefinite and generalized integrals
  • Economic applications of integrals
  • Sequences and series
  • Convergence or divergence of series – Convergence criteria, Power Series

Teaching Activities

Lectures (4 hours per week) and Tutorials (1 hour per week)

Teaching Organization

Activity

Semester workload

Lectures (4 hours per week x 13 weeks)

52 hours

Tutorials (1 hour per week x 13 weeks) – solving of representative problems

13 hours

Hours for private study

135 hours

Assessment

The overall course grade is the sum of a) the final exam grade plus b) 20 percent of the mid-term exam grade*

*The above student evaluation method is a pilot one and will be re-examined at the end of academic year 2018-2019.

Use of ICT

  • Support Learning through the e-class platform
  • Using Excel and open source programs to plot functions

Teaching Hours: 6

ECTS Credits: 8

Teaching Credits: 5

Weight: 2

Type:

Language:

Teaching Method:

General Competences: Search analysis and synthesis of facts and information using the necessary technologies , Adaptation to new situations , Decision making, Autonomous (Independent) work , Group work, Exercise of criticism and self-criticism, Promotion of free, creative and inductive thinking

Associate Professor
Κουνετάς Κωνσταντίνος - Αναπληρωτής Καθηγητής

Γνωστικό Αντικείμενο: Industrial Organisation

Οργανική Μονάδα / Εργαστήριο:

Τηλέφωνο: +30 2610 962598

Ώρες γραφείου: Undergraduate students: Tuesday 11.00-13.00 and Wednesday 09:00-10:00 Postgraduate students: Wednesday 10.00-12.00

Professor
Ioannis Venits - Professor

Γνωστικό Αντικείμενο: Econometrics

Οργανική Μονάδα / Εργαστήριο:

Τηλέφωνο: +30 2610 962582

Ώρες γραφείου: Mon 11:00 - 12:30 Tue 13:00 - 14:30

eclass URL: e-class