Search result for Computer science and mathematics Online Courses & Certifications
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Computer Vision Basics
by Radhakrishna Dasari , Junsong Yuan- 4.2
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Approx. 13 hours to complete
They are equipped to identify some key application areas of computer vision and understand the digital imaging process. Topics include color, light and image formation; early, mid- and high-level vision; and mathematics essential for computer vision. Learners gain experience writing computer vision programs through online labs using MATLAB* and supporting toolboxes....
Discrete Mathematics
by Miran Fattah- 4.5
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19 hours on-demand video
Master Discrete Math for Computer Science and Mathematics Students The goal of this course is to build the mathematical foundation for computer science courses such as data structures, algorithms, relational and database theory, and for mathematics courses such as linear and abstract algebra, combinatorics, probability, logic and set theory, and number theory....
$21.99
Mathematics for Computer Science
by Omar Karakchi , Dr Matthew Yee-King- 4.1
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Approx. 38 hours to complete
This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. If you wish to take it further you can join the BSc Computer Science degree and complete the full module ‘Numerical Mathematics’....
Curriculum Design for Secondary School Science
by Mark Langley , Louise Herbert- 0.0
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3
Explore a range of approaches to designing your scheme of learning and learn how to build an improved science curriculum. Building science capital Practical work and progression Practical science Assessment, mathematics and literacy...
Free
How Computers Work
by Dr Marco Gillies- 4.6
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Approx. 10 hours to complete
You probably use a computer every day and in fact you are reading this on a computer! You will learn how to apply computer science concepts to solve problems in daily computer use and generally be a better computer user. 1 What is computer science and how can it help us?...
Graph Theory Algorithms
by William Fiset- 4.6
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9 hours on-demand video
A complete overview of graph theory algorithms in computer science and mathematics. This course provides a complete introduction to Graph Theory algorithms in computer science. Storage and representation of graphs (networks) on a computer Various network flow algorithms including: Edmonds-Karp, Capacity Scaling, and Dinic's algorithm...
$21.99
Algorithms for Searching, Sorting, and Indexing
by Sriram Sankaranarayanan- 4.6
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Approx. 34 hours to complete
Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others....
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Managing, Describing, and Analyzing Data
by Wendy Martin- 4.4
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Approx. 17 hours to complete
The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics....
Paradox and Infinity
by Agustín Rayo , Cosmo Grant , David Balcarras- 0.0
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12 Weeks
This is a class about awe-inspiring issues at the intersection between philosophy and mathematics. Note: learners who do well in Paradox will have typically taken at least a couple of college-level classes in mathematics or computer science. On the other hand, Paradox does not presuppose familiarity with any particular branch of mathematics or computer science....
$99
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
This course concentrates on recognizing and solving convex optimization problems that arise in applications. Candidate in Computer Science at Stanford University. He has previously taught Convex Optimization (EE 364A) at Stanford University and holds a B. , summa cum laude, in Mathematics and Computer Science from the University of Pennsylvania and an M. in Computer Science from Stanford University....
