Spécialisation Introduction to Discrete Mathematics for Computer Science

Build a Foundation for Your Career in IT. Master the math powering our lives and prepare for your software engineer or security analyst career

À propos de cette Spécialisation

Discrete Math is needed to see mathematical structures in the object you work with, and understand their properties. This ability is important for software engineers, data scientists, security and financial analysts (it is not a coincidence that math puzzles are often used for interviews). We cover the basic notions and results (combinatorics, graphs, probability, number theory) that are universally needed. To deliver techniques and ideas in discrete mathematics to the learner we extensively use interactive puzzles specially created for this specialization. To bring the learners experience closer to IT-applications we incorporate programming examples, problems and projects in our courses.

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5 courses

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Projets

Conçu pour vous aider à vous exercer et à appliquer les compétences que vous avez acquises.

Certificats

Mettez en évidence vos nouvelles compétences sur votre CV ou sur LinkedIn.

Vue d'ensemble des projets

We’ll implement together an efficient program for a problem needed by delivery companies all over the world millions times per day — the travelling salesman problem. The goal in this problem is to visit all the given places as quickly as possible. How to find an optimal solution to this problem quickly? We still don’t have provably efficient algorithms for this difficult computational problem and this is the essence of the P versus NP problem, the most important open question in Computer Science. Still, we’ll implement several efficient solutions for real world instances of the travelling salesman problem. While designing these solutions, we will rely heavily on the material learned in the courses of the specialization: proof techniques, combinatorics, probability, graph theory. We’ll see several examples of using discrete mathematics ideas to get more and more efficient solutions.

Cours

Beginner Specialization.: No prior experience required.

COURS 1
What is a Proof?
Session à venir : Jun 25
Engagement
6 weeks, 2–5 hours/week
Sous-titres
English
À propos du cours
Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important tools used in discrete mathematics: in
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 2
Combinatorics and Probability
Session à venir : Jun 25
Engagement
6 weeks, 3-5 hours/week
Sous-titres
English
À propos du cours
Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something, can we do anything better than just counting all objects one by one? Do we need to
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 3
Introduction to Graph Theory
Session à venir : Jun 25
Engagement
5 weeks, 3-5 hours/week
Sous-titres
English
À propos du cours
We invite you to a fascinating journey into Graph Theory — an area which connects the elegance of painting and the rigor of mathematics; is simple, but not unsophisticated. Graph Theory gives us, both an easy way to pictorially represent many major math
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 4
Number Theory and Cryptography
Session en cours : Jun 18
Engagement
4 weeks, 2-5 hours/week
Sous-titres
English
À propos du cours
We all learn numbers from the childhood. Some of us like to count, others hate it, but any person uses numbers everyday to buy things, pay for services, estimated time and necessary resources. People have been wondering about numbers’ properties for t
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 5
Delivery Problem
Session en cours : Jun 18
Engagement
3 weeks of study, 2–5 hours/week
Sous-titres
English
À propos du cours
We’ll implement (in Python) together efficient programs for a problem needed by delivery companies all over the world millions times per day — the travelling salesman problem. The goal in this problem is to visit all the given places as quickly as possible
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.

Créateurs

Faculty of Computer Science (http://cs.hse.ru/en/) trains developers and researchers. The programme has been created based on the experience of leading American and European universities, such as Stanford University (U.S.) and EPFL (Switzerland). Also taken into consideration when creating the faculty was the School of Data Analysis, which is one of the strongest postgraduate schools in the field of computer science in Russia. In the faculty, learning is based on practice and projects.
National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communications, IT, mathematics, engineering, and more. Learn more on www.hse.ru
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Faculty at the Computer Science and Engineering Department at UCSD are among the leaders in the field of algorithms, bioinformatics, cryptography, machine learning, and many other areas of computer science.
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.