Search result for Advanced mathematics course description Online Courses & Certifications
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Master Discrete Mathematics: Sets, Math Logic, and More
by Grant Hall- 4.6
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7 hours on-demand video
This Master Discrete Math Course includes over 30 lectures that will introduce students to many topics including sets and their properties, advanced counting techniques (combinations/permutations), mathematical logic, and graph theory. This course can be broken into a few key categories: Set Theory: Students will leave this course understanding what sets are, the nuances of sets, and how to find power sets....
$16.99
Practical Deep Learning with PyTorch
by Deep Learning Wizard- 4.3
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6.5 hours on-demand video
This entire course is delivered in a Python Notebook such that you can follow along the videos and replicate the results. And this course provides you with free access to ask any question, no matter how basic. This is not a course that emphasizes heavily on the mathematics behind deep learning....
$15.99
Foundations of Data Science: K-Means Clustering in Python
by Dr Matthew Yee-King , Dr Betty Fyn-Sydney , Dr Jamie A Ward , Dr Larisa Soldatova- 4.6
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Approx. 29 hours to complete
This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. Week 2: Means and Deviations in Mathematics and Python...
Matrix Algebra for Engineers
by Jeffrey R. Chasnov- 4.8
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Approx. 20 hours to complete
This course is all about matrices, and concisely covers the linear algebra that an engineer should know. The mathematics in this course is presented at the level of an advanced high school student, but typically students should take this course after completing a university-level single variable calculus course. Please Rate this Course...
Linear Algebra III: Determinants and Eigenvalues
by Greg Mayer- 0.0
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3 Weeks
This course takes you through roughly three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. At the beginning of this course we introduce the determinant, which yields two important concepts that you will use in this course. This course then moves on to eigenvalues and eigenvectors....
$199
Introduction to Continuum Physics
by Krishna Garikipati- 0.0
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10 Weeks
If you want to learn the basic physics of solids, fluids, heat and mass transport, this is the course you have been looking for. It combines the power and beauty of mathematics with physical intuition for a comprehensive understanding of continuum physics. The follow-up, advanced course extends this treatment to thermomechanics, variational principles and mass transport....
$49
Computational Thinking for Modeling and Simulation
by Daniel Frey , Ali Talebinejad- 0.0
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9 Weeks
In particular, this course emphasizes use of computers for modeling physical systems and predicting their behavior. Because of that choice, this course covers many topics normally viewed as within the domain of mathematics such as algebra and calculus, but the solution procedures are algorithmic rather than symbolic. The major themes of the course are:...
$49
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Machine Learning for All
by Dr Marco Gillies- 4.7
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Approx. 22 hours to complete
Machine Learning has a reputation for being one of the most complex areas of computer science, requiring advanced mathematics and engineering skills to understand it. You really need to understand this technology, and this course is a great place to get that understanding. NB this course is designed to introduce you to Machine Learning without needing any programming....
The Math of Data Science: Linear Algebra
by Stephen Wang- 0.0
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8 Weeks
This course is an introduction to linear algebra. We willdiscuss the key concepts of basis and dimension, which form the foundation for many of the more advanced concepts of linear algebra....
$159
Network Analysis in Systems Biology
by Avi Ma’ayan, PhD- 4.5
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Approx. 30 hours to complete
The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering....
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