Mathematics for Computer Science
Master essential mathematical foundations for computer science, from number systems to functions and graphs.
Master essential mathematical foundations for computer science, from number systems to functions and graphs.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Introduction to Computer Science and Programming Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
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What you'll learn
Transform numbers between different number bases
Identify and compute number sequences and sums
Represent space using coordinates and graphs
Analyze variations through functions and their graphs
Skills you'll gain
This course includes:
8.8 Hours PreRecorded video
41 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course provides the mathematical foundations essential for computer science. Starting with number bases and binary operations, it progresses through modular arithmetic, sequences, and series, culminating in coordinate systems and function graphing. The curriculum emphasizes practical applications in computing, from encrypting messages to computer graphics, making abstract concepts concrete through real-world examples.
Number bases - binary
Module 1 · 7 Hours to complete
Number bases - other bases
Module 2 · 7 Hours to complete
Modular arithmetic
Module 3 · 8 Hours to complete
Sequences
Module 4 · 3 Hours to complete
Series
Module 5 · 4 Hours to complete
Introduction to Graph Sketching and Kinematics
Module 6 · 6 Hours to complete
Fee Structure
Instructors
Innovator in Creative Computing and Digital Signal Processing
Dr. Matthew Yee-King is a Lecturer in Computing at Goldsmiths, University of London, specializing in creative digital signal processing and computer music. He has collaborated with prominent figures in the UK experimental music scene, contributing to the advancement of innovative sound technologies. In his teaching, Dr. Yee-King covers a range of topics within the BSc Creative Computing program, including audio signal processing and synthesis, programming in Processing, and audio development for the Android platform. His expertise not only enriches the academic experience for students but also fosters a deeper understanding of the intersection between technology and artistic expression. Through his work, Dr. Yee-King continues to push the boundaries of how digital tools can enhance creative practices in music and sound design.
Instructor
Dr. Omar Karakchi is an accomplished instructor at the University of London, specializing in Mathematics for Computer Science. He holds a Ph.D. and has a keen interest in applied mathematics, particularly in the areas of non-linear differential equations. His academic research explores fundamental mathematical concepts that are crucial for understanding computer science and programming.On Coursera, Dr. Karakchi teaches the course "Mathematics for Computer Science," which is part of the Introduction to Computer Science and Programming Specialization. This course covers essential topics such as number bases, sequences, functions, and graphing, providing students with a solid foundation in mathematical principles applicable to computer science. With a focus on practical applications and engaging teaching methods, Dr. Karakchi aims to equip learners with the skills necessary to succeed in their academic and professional pursuits in technology and computing.
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4.1 course rating
223 ratings
Frequently asked questions
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