Vector spaces, matrices and linear applications.
More info:http://www.uninettunouniversity.net/en/mooc-program.aspx?lf=en&courseid=3565&degree=140&planid=146&faculty=0
Coursera
This course deals with the mathematics of high school advanced perspective. Its main purpose is to expose students to the future of how mathematicians see this profession, and thus prepare them to study mathematics at university.
Coursera
This course will cover the mathematical theory and analysis of simple games without chance moves.
UNINETTUNO OpenupEd
The course gives an introduction to discrete mathematical techniques and their applications.
UNINETTUNO OpenupEd
Il corso di Complementi di Matematica è il completamento dei due corsi di carattere analitico-matematico e geometrico-algebrico, svolti nel primo anno del corso di studi.
Coursera
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: a basic understanding of linear algebra and multivariate calculus; a basic understanding of statistics and regression models; at least a little familiarity with proof based mathematics; basic knowledge of the R programming language.
Coursera
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.
Coursera
Learn the mathematics behind the Fibonacci numbers, the golden ratio, and how they are related. These topics are not usually taught in a typical math curriculum, yet contain many fascinating results that are still accessible to an advanced high school student. The course culminates in an explanation of why the Fibonacci numbers appear unexpectedly in nature, such as the number of spirals in the head of a sunflower.
Coursera
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. Distinguishing features of the course include: 1) the introduction and use of Taylor series and approximations from the beginning; 2) a novel synthesis of discrete and continuous forms of Calculus; 3) an emphasis on the conceptual over the computational; and 4) a clear, dynamic, unified approach.
Coursera
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.
Coursera
This course is an introduction to Logic from a computational perspective. It shows how to encode information in the form of logical sentences; it shows how to reason with information in this form; and it provides an overview of logic technology and its applications - in mathematics, science, engineering, business, law, and so forth.
Coursera
Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.
Coursera
'Learn concept of AI such as machine learning, deep-learning, support vector machine which is related to linear algebra. Learn how to use linear algebra for AI algorithm. After completing this course, you are able to understand AI algorithm and basics of linear algebra for AI applications.