I totally loved it. For me Number bases, Modular arithmetic, Sequences and Series are a very important part of algorithms. Understanding them means there is a better chance of understanding algorithms
Mathematics for Computer Science
Mathematics for Computer Science
This course is part of Introduction to Computer Science and Programming Specialization
Instructors: Omar Karakchi
39,520 already enrolled
Included with 
4.1
(234 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 1 hour
Learn at your own pace
83%
Most learners liked this course
Prepare for a degree
What you'll learn
1. Transform numbers between number bases and perform arithmetic in number bases
2. Identify, describe and compute sequences of numbers and their sums.
3. Represent and describe space numerically using coordinates and graphs.
4. Study, represent and describe variations of quantities via functions and their graphs.
Skills you'll gain
Details to know
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Taught in English
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This course is part of the Introduction to Computer Science and Programming Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Develop job-relevant skills with hands-on projects
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Taking this course by University of London may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
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Learner reviews
4.1
234 reviews
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59.82%
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16.23%
- 3 stars
9.40%
- 2 stars
4.70%
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9.82%
Showing 3 of 234
AS
5
Reviewed on May 15, 2022
CK
4
Reviewed on May 9, 2019
quizes are sometime buggy otherwise everything is fine
EA
5
Reviewed on Jun 14, 2020
This instructor makes math really fun! The material was challenging, but she was very engaging and gave a lot of descriptive examples.
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