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Several years ago, David Zmiaikou obtained his Ph.D. degree at the University Paris-Sud (Orsay) under the supervision of Professor Jean-Christophe Yoccoz. After that, he visited the mathematical institute IMPA in Rio de Janeiro thanks to the Balzan research project of Professor Jacob Palis. As a part of David's European Post-Doctoral Institute (EPDI) fellowship, he worked at:

• Erwin Schrodinger Institute for Mathematical Physics, Vienna, Austria

• Institute for Mathematical Research, Zurich, Switzerland

• Institut des Hautes Etudes Scientifiques, Bures-sur-Yvette, France

• Max Planck Institute for Mathematics Bonn, Germany

Afterwards, David did postdoctoral research in DNA analysis at the Wellcome Trust Sanger Institute in the United Kingdom.

During the module, students will deepen their knowledge of linear algebra. They will learn new key concepts and methods that will help them in solving the majority of problems related to the study of linear transformations of vector spaces. Some of these concepts and methods are applied to biology, economics, computer graphics, electrical engineering and cryptography.

SKILLS:

- Algorithms

- Combinatorics

- Data analysis

- Discrete optimization

- Dynamical systems

- Geometry

- Group theory

- Software engineering

- Web Design

DATE: 9 - 27 Apr, 2018

DURATION: 3 Weeks

LECTURES: 3 Hours per day

LANGUAGE: English

LOCATION: Barcelona, Harbour.Space Campus

COURSE TYPE: Offline

WHAT YOU WILL LEARN

COURSE OUTLINE

ABOUT DAVID

BIBLIOGRAPHY

HARBOUR.SPACE

LINEAR ALGEBRA - 2

In this module, the beautiful and powerful results of linear algebra will be explored. One of the most important tools in the study of matrices is Jordan canonical form which allows to simplify many calculations (e.g. exponentiation).

We will learn how to find such a canonical form and apply that knowledge to special classes of matrices. Furthermore, bilinear forms will be introduced together with the classical notion of a Euclidean space. An algorithm called Gram–Schmidt Process will provide a useful technique for constructing orthonormal bases of a Euclidean space and its subspaces.

DAVID 
ZMIAIKOU

We offer innovative university degrees taught in English by industry leaders from around the world, aimed at giving our students meaningful and creatively satisfying top-level professional futures. We think the future is bright if you make it so.

HARBOUR.SPACE UNIVERSITY

DATE: 9 – 27 Apr, 2018

DURATION: 3 Weeks

LECTURES: 3 Hours per day

LANGUAGE: English

LOCATION: Barcelona, Harbour.Space Campus

COURSE TYPE: Offline

LINEAR
ALGEBRA - 2

Essential Linear Algebra with
Applications: A Problem-Solving
Approach by Titu Andreescu

Session 2

Minimal Polynomial of a Matrix

Session 3

Special Matrices

Session 1

Algebraic Prerequisites

Session 4

Duality

In this module, the beautiful and powerful results of linear algebra will be explored. One of the most important tools in the study of matrices is Jordan canonical form which allows to simplify many calculations (e.g. exponentiation).

We will learn how to find such a canonical form and apply that knowledge to special classes of matrices. Furthermore, bilinear forms will be introduced together with the classical notion of a Euclidean space. An algorithm called Gram–Schmidt Process will provide a useful technique for constructing orthonormal bases of a Euclidean space and its subspaces.

Customers who viewed Schaum's 
Outline of Linear Algebra 
by Seymour Lipschutz

Linear Algebra by David Poole

In this module, the beautiful and powerful results of linear algebra will be explored. One of the most important tools in the study of matrices is Jordan canonical form which allows
to simplify many calculations (e.g. exponentiation).

We will learn how to find such a canonical form and apply that knowledge to special classes of matrices. Furthermore, bilinear forms will be introduced together with the classical notion of a Euclidean space. An algorithm called Gram–Schmidt Process will provide a useful technique for constructing orthonormal bases of a Euclidean space and its subspaces.