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⇱ Mathematics for Computer Science | Coursera


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Gain insight into a topic and learn the fundamentals.
4.2

281 reviews

Beginner level
No prior experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
85%
Most learners liked this course

Gain insight into a topic and learn the fundamentals.
4.2

281 reviews

Beginner level
No prior experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
85%
Most learners liked this course

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.

Details to know

Shareable certificate

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Assessments

9 assignmentsΒΉ

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

Mathematics for Computer Science course 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. At any stage of the problem solving and modelling stage you will require numerical and computational tools. We get you started in binary and other number bases, some tools to make sense of sequences of numbers, how to represent space numerical using coordinates, how to study variations of quantities via functions and their graphs. For this we prepared computing and everyday life problems for you to solve using these tools, from sending secret messages to designing computer graphics.

If you wish to take it further you can join the University of London's BSc Computer Science degree and complete the full module β€˜Numerical Mathematics’. Enjoy!

In this topic, we will cover three key concepts: introduction to number bases, conversion of non-integer numbers and operations with binary numbers. You will learn about the notion of number bases and how to do arithmetic in different bases.

What's included

5 videos2 readings3 assignments1 discussion prompt

5 videosβ€’Total 41 minutes
  • Why study computational maths? β€’5 minutes
  • Introduction to Topic 1β€’3 minutes
  • Introduction to number basesβ€’14 minutes
  • Working in other basesβ€’12 minutes
  • Conversion of integer numbers between different basesβ€’8 minutes
2 readingsβ€’Total 20 minutes
  • Course structure and navigationβ€’10 minutes
  • Your assessment for this MOOCβ€’10 minutes
3 assignmentsβ€’Total 90 minutes
  • Introduction to number bases – conversion to decimalβ€’30 minutes
  • Working in different bases – part 1β€’30 minutes
  • Working in different bases – part 2β€’30 minutes
1 discussion promptβ€’Total 10 minutes
  • Getting to know each otherβ€’10 minutes

In this topic, we will cover three key concepts: introduction to number bases, conversion of non-integer numbers and operations with binary numbers. You will learn about the notion of number bases and how to do arithmetic in different bases.

What's included

6 videos3 assignments2 discussion prompts

6 videosβ€’Total 37 minutes
  • Conversion of non-integer numbers between basesβ€’15 minutes
  • Operations with binary numbers – additionβ€’3 minutes
  • Operations with binary numbers – subtractionβ€’5 minutes
  • Operations with binary numbers – multiplicationβ€’4 minutes
  • Number representationsβ€’8 minutes
  • Topic 1 – looking back β€’2 minutes
3 assignmentsβ€’Total 120 minutes
  • Non-integer numbers conversionβ€’30 minutes
  • Operations with binary numbersβ€’30 minutes
  • Number bases – summative quiz β€’60 minutes
2 discussion promptsβ€’Total 40 minutes
  • Why do we need to use these number conversions?β€’30 minutes
  • Topic 1 reflectionβ€’10 minutes

In this topic, we will cover the key concepts of sequences, series and the principle of mathematical induction. We will understand what a sequence is and look at its convergence and divergence. We will also introduce the concept of series.

What's included

5 videos1 assignment

5 videosβ€’Total 28 minutes
  • Introduction to Topic 2β€’3 minutes
  • Introduction to sequences and series β€’5 minutes
  • Geometric and arithmetic seriesβ€’8 minutes
  • Convergent and divergent sequencesβ€’6 minutes
  • Recursionβ€’6 minutes
1 assignmentβ€’Total 30 minutes
  • Introduction to sequences β€’30 minutes

In this topic, we will cover the key concepts of sequences, series and the principle of mathematical induction. We will understand what a sequence is and look at its convergence and divergence. We will also introduce the concept of series.

What's included

5 videos1 reading2 assignments1 discussion prompt

5 videosβ€’Total 42 minutes
  • Seriesβ€’7 minutes
  • Proof by inductionβ€’6 minutes
  • Formula for summing geometric and arithmetic sequencesβ€’15 minutes
  • Mathematical induction – review and exampleβ€’9 minutes
  • Topic 2 looking backβ€’6 minutes
1 readingβ€’Total 10 minutes
  • MOOC summaryβ€’10 minutes
2 assignmentsβ€’Total 90 minutes
  • Sequences and seriesβ€’30 minutes
  • Sequences – summative quizβ€’60 minutes
1 discussion promptβ€’Total 20 minutes
  • Topic 2 reflectionβ€’20 minutes

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Prepare for a degree

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.

Instructors

Instructor ratings
4.5 (78 ratings)
University of London
7 Coursesβ€’51,014 learners

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Learner reviews

  • 5 stars

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  • 3 stars

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  • 2 stars

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Showing 3 of 281

EA
Β·

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.

RN
Β·

Reviewed on Jan 24, 2024

Sara Santos is a very enthusiastic teacher. I enjoyed learning some principles of mathematics from her. Thank you for this course, ma'am.

JP
Β·

Reviewed on Dec 13, 2020

Certain parts of the course are overkill and dragging. The course manager should shorten and make learning points more concise.

Frequently asked questions

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