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The D4M signal processing combines graph theory, linear algebra, and databases that address the problems associated with Big Data. This has been implemented in different software programs and learning about this will help in implementing this software infrastructure.

You will learn from this [course_title] the theory, principles, and techniques in using it. You will be introduced to the appropriate theory and apply this to the problems encountered by your database systems.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: MIT


Course Curriculum

Module: 01
D4M Session 0 Lecture 00:50:00
D4M Session 0 Demo 00:32:00
D4M Session 1 Lecture 00:45:00
D4M Session 1 Demo 00:25:00
Module: 02
D4M Session 2 Lecture 01:12:00
D4M Session 2 Demo 00:07:00
D4M Session 3 Lecture 00:46:00
D4M Session 3 Demo 00:33:00
Module: 03
D4M Session 4 Lecture 00:42:00
D4M Session 4 Demo 00:24:00
D4M Session 5 Lecture 00:54:00
D4M Session 5 Demo 00:24:00
Module: 04
D4M Session 6 Lecture 00:52:00
D4M Session 6 Demo 00:22:00
D4M Session 7 Demo 01:23:00
D4M Session 8 Lecture 00:45:00
D4M Session 8 Demo 00:13:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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