Mathematics for Economists I

Mathematics for Economists I

Course ID:

ECO_111Ν

Semester: 1st

Year of Study:

Category: Compulsory

For Erasmus Students: Όχι

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 (2 hours per week)

Teaching Organization

Activity

Semester workload

Lectures (4 hours per week x 13 weeks)

52 hours

Tutorials (2 hours per week x 11 weeks) – solving of representative problems

22 hours

Hours for private study

126 hours

Total number of hours for the Course (25 hours of work-load per ECTS credit)

200 hours (total student work-load)

Assessment

The overall course grade is the sum of a) the final exam grade plus b) if taken, 25% percent of the mid-term exam grade will be added to the total grade subject to the final grade >=5
This holds only for the Jan/Feb exam

 

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: Ελληνική

Teaching Method: Πρόσωπο με πρόσωπο

General Competences: Αναζήτηση, ανάλυση και σύνθεση δεδομένων και πληροφοριών, με τη χρήση και των απαραίτητων τεχνολογιών, Προσαρμογή σε νέες καταστάσεις, Λήψη αποφάσεων, Αυτόνομη εργασία, Ομαδική εργασία, Άσκηση κριτικής και αυτοκριτικής, Προαγωγή της ελεύθερης, δημιουργικής και επαγωγικής σκέψης

Κουνετάς Κωνσταντίνος - 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