E.g., 2016-09-28
E.g., 2016-09-28
E.g., 2016-09-28
Oct 31st 2016

Get to grips with Assessment for Learning with one of three courses for teachers from the National STEM Learning Centre.

Average: 6.4 (7 votes)
Oct 3rd 2016

Learn tools of effective thinking through puzzles and the world of mathematics around you in this fun and fascinating course.

Average: 9 (3 votes)
Oct 3rd 2016

Learn how to apply selected mathematical modelling methods to analyse big data in this free online course. Have you ever wondered how mathematics can be used to solve big data problems? This course will show you how. Mathematics is everywhere, and with the rise of big data it becomes a useful tool when extracting information and analysing large datasets.

Average: 5.7 (10 votes)
Sep 30th 2016

Learn about statics through real life engineering examples. Engage with the theory to grasp the full understanding of simple machines and complex mathematical models. Are you interested in improving your mechanics or introducing yourself to the subject all together? Join our unique course, devised by the Ural Federal University. Through our innovative approach, you will receive the basic traditional material by engaging in practically-oriented tasks and learn the strictly theoretical mathematical analysis of basic concepts.

No votes yet
Sep 26th 2016

This course provides an introduction to complex analysis which is the theory of complex functions of a complex variable. We will start by introducing the complex plane, along with the algebra and geometry of complex numbers, and then we will make our way via differentiation, integration, complex dynamics, power series representation and Laurent series into territories at the edge of what is known today.

Average: 8 (1 vote)
Sep 26th 2016

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Average: 7 (2 votes)
Sep 26th 2016

Technology is an essential component of today’s workplace and is a ubiquitous component of our society. Technology can be a useful tool to support students’ engagement in and learning of mathematics. This course allows you to learn, along with colleagues from other schools and around the world, instructional practices that utilize technology to support students’ mathematical learning.

Average: 2.7 (3 votes)
Sep 19th 2016

Ce cours d'introduction aux probabilités a la même contenu que le cours de tronc commun de première année de l'École polytechnique donné par Sylvie Méléard.

Average: 8 (1 vote)
Sep 19th 2016

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

Average: 10 (1 vote)
Sep 19th 2016

Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations.

Average: 4.2 (11 votes)
Sep 19th 2016

Ce cours d'introduction aux probabilités a la même contenu que le cours de tronc commun de première année de l'École polytechnique donné par Sylvie Méléard.

Average: 9 (1 vote)
Sep 18th 2016

Introductory Machine Learning course covering theory, algorithms and applications. Our focus is on real understanding, not just "knowing."

Average: 6 (2 votes)
Sep 14th 2016

Can we capture the unpredictable evolutionary and emergent properties of nature in software? Can understanding the mathematical principles behind our physical world help us to create digital worlds? This class focuses on the programming strategies and techniques behind computer simulations of natural systems.

Average: 6 (5 votes)
Sep 12th 2016

Peut-on estimer la composition chimique d'un échantillon en quelques secondes et sans le toucher ? Identifier son origine ? Oui ! C'est possible, en réalisant l'acquisition d'un spectre de l'échantillon et son traitement avec des outils de chimiométrie. Ce mooc est destiné à vous rendre autonome en chimiométrie.

No votes yet
Sep 12th 2016

This course covers mathematical topics in college algebra, with an emphasis on functions. The course is designed to help prepare students to enroll for a first semester course in single variable calculus.

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Sep 12th 2016

An introduction to dynamical modeling techniques used in contemporary Systems Biology research. We take a case-based approach to teach contemporary mathematical modeling techniques. The course is appropriate for advanced undergraduates and beginning graduate students. Lectures provide biological background and describe the development of both classical mathematical models and more recent representations of biological processes. The course will be useful for students who plan to use experimental techniques as their approach in the laboratory and employ computational modeling as a tool to draw deeper understanding of experiments.

No votes yet
Sep 12th 2016

Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions.

Average: 10 (1 vote)
Sep 12th 2016

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences.

Average: 10 (3 votes)
Sep 12th 2016

This course covers mathematical topics in trigonometry. Trigonometry is the study of triangle angles and lengths, but trigonometric functions have far reaching applications beyond simple studies of triangles. This course is designed to help prepare students to enroll for a first semester course in single variable calculus.

No votes yet
Sep 12th 2016

Curso diseñado para facilitar la entrada del estudiante en los cursos de cálculo de primer semestre de prácticamente cualquier grado universitario, con especial énfasis en Ciencias e Ingeniería.

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