Mathematics

Mathematics for Machine Learning: Linear Algebra

Overview In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we …

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Mathematics for Engineers: The Capstone Course

Overview Mathematics for Engineers: The Capstone Course provides a capstone project for students who are completing the Mathematics for Engineers specialization. Students will first learn some basic concepts in computational fluid dynamics, and then apply these concepts to compute the fluid flow around a cylinder. Access to MATLAB online and the MATLAB grader is given …

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Linear Algebra III: Determinants and Eigenvalues

Overview At the beginning of this course we introduce the determinant, which yields two important concepts that you will use in this course. First, you will be able to apply an invertibility criterion for a square matrix that plays a pivotal role in, for example, the understanding of eigenvalues. You will also use the determinant …

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Pre-University Calculus

Overview Mathematics is the language of Science, Engineering and Technology. Calculus is an elementary mathematical course in any Science and Engineering Bachelor. Pre-university Calculus will prepare you for the Introductory Calculus courses by reviewing five important mathematical subjects that are assumed to be mastered by beginning Bachelor students: functions, equations, differentiation, integration and analytic geometry. …

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Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD

Overview In the first part of this course you will explore methods to compute an approximate solution to an inconsistent system of equations that have no solutions. Our overall approach is to center our algorithms on the concept of distance. To this end, you will first tackle the ideas of distance and orthogonality in a …

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Bayesian Statistics: From Concept to Data Analysis

Overview This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist …

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Discovery Precalculus: A Creative and Connected Approach

Overview In this interactive pre-Calculus course, you will deepen and extend your knowledge of functions, graphs, and equations from high school algebra and geometry courses so you can successfully work with the concepts in a rigorous university-level calculus course. This course is designed to engage learners in the “doing” of mathematics, emphasizing conceptual understanding of …

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Probability and Statistics: To p or not to p?

Overview We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes. Indeed, we should be on the look-out for “black swans” – low-probability high-impact events. To study, or not to study? To invest, or not to invest? To marry, or not to marry? …

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Introduction to Calculus

Overview The focus and themes of the Introduction to Calculus course address the most important foundations for applications of mathematics in science, engineering and commerce. The course emphasises the key ideas and historical motivation for calculus, while at the same time striking a balance between theory and application, leading to a mastery of key threshold …

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Simple Regression Analysis in Public Health

Overview Biostatistics is the application of statistical reasoning to the life sciences, and it’s the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we’ll focus on the use of simple regression methods to determine the relationship between an outcome of interest and …

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