Computational Mathematics Ι
General
Code: ΜΥ01
Language: Greek
Delivery: Face-to-face
Prerequisites:
Workload
- Lectures: 39.0 hours
- Lab: 0.0 hours
- Study: 111.0 hours
- Project: 0.0 hours
Course Content
Basic concepts of mathematical analysis.
Differential Calculus
- Derivatives
- Partial derivatives
- Function extrema
-Taylor series
Integral calculus
- Simple
- Double
- Generalized
- Curved integrals
Ordinary and partial differential equations
Linear algebra
- Matrices
- Determinants
- Eigenvalues - Eigenvectors
- Linear systems
Complex numbers
Fourier analysis
Learning Outcomes
The aim of the course is to introduce students to mathematical thinking and functional analysis of many variables. In this way it will give them the necessary knowledge of mathematics, so that they will be able to follow the mathematical analysis and the content included in the courses of the curriculum.
Skills
-Mathematical thinking and perception
-Knowledge of higher mathematics
-Structured analysis and decision making
