Skip to content

COURSE OUTLINE

Mathematics II

1. General

School

School of Finance and Statistics

Academic Unit

Department of Banking and Financial Management

Level of Studies

Undergraduate

Course code

ΧΡΜΑΘ07

Semester

2nd

Course Title

Mathematics II

Idependent Teaching Activities

Weekly Teaching Hours

Credits

Lectures
4
7,5

Course Type

Core Course

Prerequite Courses

Language of Instruction and Examinations

Greek

Is the course offered to Erasmus Students?

Yes (in Greek)

Url (Eclass)

https://eclass.unipi.gr/modules/auth/courses.php?fc=64

2. Learning Outcomes

Learning Outcomes

The goal of this course is to teach students the mathematical skills they need in order to deal with basic and more advance problems of economics. The course provides an introduction to the mathematical concepts and methods used in economics and covers material from calculus, matrix algebra and optimization theory. Besides the theory, several applications are developed for many different branches of economics and finance.

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

use the knowledge of mathematical analysis to create and use models on financial and investment issues.

They will also be able to research and further deepen to applied mathematics in the economic sciences, as well as be able to apply mathematical results, and with the use of computers, to find solutions to economic and financial issues.

General Competences
  • Autonomous work
  • Team work
  • Work in inter-scientific environment
  • Adjustment in new conditions

3. Syllabus

First section

Linear Algebra

  • Calculations with matrices
  • Systems of linear equations and inverting matrices
  • Inner product
  • Transposition and quadratic forms

Second section

Functions with several variables

  • Partial derivatives
  • Implicit differentiation
  • Optimization with several variables
  • Optimization with constrains

Third section

Differential equations

  • Linear equations with constant coefficients
  • Second order ordinary and partial differential equations

4. Teaching and Learning Methods - Evaluation

Delivery

Face-to-face teaching

Use of Information and Communications Technology

E-class platform support

Teaching Methods

Activity

Semester Workload

Lectures
52
Independent Study
135,5
Course Total
187,5

Student Performance Evaluation

Writing exams (100%) that refers to the theoretical questions and exercises on the material developed in the class.

5. Attached Bibliography

Suggested Bibliography
  • “Mathematics for Economists: An Introductory Textbook”, M. Pemberton and N. Rau.
  • “Maths for Economics”, G. Renshaw.
Related Academic Journals