I got my BSc and MSc in Physics & Mathematics from MIPT and Skoltech, with a specialisation in theoretical/computational physics (integrable and chaotic quantum systems, to be certain). Then I somewhat shifted towards machine learning, working as a data scientist for App in the Air (ask me about recommender systems) for a year, as well as teaching 10-11th grades IB DP Mathematics (passionate about teaching). For now, I’m a PhD student at the CS department of HSE, working on what’s called topological data analysis, also coding some geometry for an architecture startup, Archeads Inc.

Our main goal is to master the concepts: vector spaces, linear dependence/independence, span and rank, matrices and their arithmetic, the basis, orthogonality, determinants, etc. – discovering them ourselves by solving problems (motivated by practice).

**SKILLS:**

- Algorithms

- Combinatorics

- Data Analysis

- Discrete Optimisation

- Dynamical Systems

**DATE: **8 Jun - 26 Jun, 2020

**DURATION: **3 Week

**LECTURES: **3 Hours per day

**LANGUAGE: **English

**LOCATION: **Barcelona, Harbour.Space Campus

**COURSE TYPE: **Offline

WHAT YOUWILL LEARN

ABOUT MAXIM

Linear algebra – a study of lines, planes, vectors, linear equations, transforms, matrices, tensors – is the heart of many areas of mathematics. It spans from pure (like representation theory), to applied to any natural sciences such as physics & chemistry (linear algebra is the language of quantum mechanics), any numerical modeling (including mechanical and networks engineering) and data processing, statistical inference and machine learning. This course will be the beginning of your journey in this exciting field, covering the required theory and providing you with a lot of practice (including some numerical programming)!

MAXIMBEKETOV

__CS PhD student at the HSEPython developer at Archeads Inc.3-rd year IB Mathematics Diploma Programme teacher__

**DATE: **8 Jun** - **26** **Jun, 2020

**DURATION: **3 Weeks

**LECTURES: **3 Hours per day

**LANGUAGE: **English

**LOCATION: **Barcelona, Harbour.Space Campus

**COURSE TYPE: **Offline

All rights reserved. 2017

COURSE OUTLINE

**Session 1**

**Lecture:** Introduction. Vectors, linear combinations, the dot product, vector’s length

**Seminar (Lab):** Vectors in Python & NumPy, comparing data with the dot-product

**Session 2**

**Lecture:** Systems of linear equations (SLEs)

**Seminar:** Solving problems on SLEs

**Session 3**

**Lecture:** (Gaussian) Elimination: the idea of it, elimination in terms of (augmented) matrix notation for SLEs

**Seminar:** Solving SLEs with elimination. Commenting on the code implementation of GE

**Session 4**

**Lecture: **Matrices and matrix operations, inverse matrices

**Seminar:** Solving problems on matrix arithmetic

**LINEAR ALGEBRA - 1**

LINEARALGEBRA - 1

BIBLIOGRAPHY

Coding the Matrix: Linear Algebra throughComputer Science Applicationsby Philip Klein(Newtonian Press, 2015)

Harbour.Space is a university created by entrepreneurs for entrepreneurs. We focus on meeting the demands of the future, while traditional education providers are too often stuck in the past.

We’re one of the only European institutions completely dedicated to technology, design and entrepreneurship, and our interdisciplinary courses are taught by some of today’s leading professionals. Our aim is not only to equip students with the knowledge to take on the real world, but to nurture, create and shape tomorrow’s tech superstars.

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