Mathematics for Economists II

Mathematics for Economists II

Course ID:

ECO_112Ν

Semester: 2nd

Year of Study:

Category: Compulsory

For Erasmus Students: Όχι

Learning Outcomes

Mathematics for Economists II, is a course aiming at introducing students to basic mathematical concepts, linking them to sets of economic exercises that relate to real problems faced by economists. In this sense, the course forms the basis for the specific methodologies developed in individual curriculum courses (e.g. macroeconomics, microeconomics).

By the end of this course the student will be able to:

  1. Knowledge
    • Understand basic mathematical theory (concepts, theorems, proofs)
    • Recognize the theory-related mathematical formulas and describe how to solve them
  2. Skills
    • Distinguish the different cases of mathematical problems and explain their use in relation to the mathematical problem posed
    • Calculate basic mathematical concepts (e.g. maximization of a function, partial derivative calculation)
  3. Specific skills
    • Combine mathematical theory with economic problems
    • Rebuild the economic problem (e.g. Maximize profit in a perfectly competitive market) and explain the solution
    • Be able to evaluate, compare and support the solution.

Course Contents

  • Functions of several variables: limits, continuity, partial derivatives,
  • Differentiation,
  • Maxima & minina, Lagrange multipliers,
  • Difference equations, including: linear first order, second order with constant coefficients
  • Introduction to linear algebra (matrix properties, matrix inversion) & linear systems, elasticity, partial elasticities,
  • Economic applications

Teaching Activities

Lectures (4 hours per week) and Tutorials (2 hours per week x 13 weeks)

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 of the student and preparation of home-works)

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 June/July exam

Use of ICT

Use of Information and Communication Technologies (ICTs) (e.g. PowerPoint) in teaching. The lectures of each chapter are uploaded on the e-class platform, in the form of a series of ppt files, which the enrolled students can freely download.

Exercises and self-assessment through open-ended questions in e-class are also available.

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, Σχεδιασμός και διαχείριση έργων, Σεβασμός στο φυσικό περιβάλλον, 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

eclass URL: e-class