“Welcome to Introduction to Numerical Mathematics. 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. 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.
Mathematics for Computer Science
Cultivate your career with expert-led programs, job-ready certificates, and 10,000 ways to grow. All for $25/month, billed annually. Save now
Mathematics for Computer Science
This course is part of Introduction to Computer Science and Programming Specialization
Instructors: Omar Karakchi
39,385 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.1
(233 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 38 hours
Learn at your own pace
83%
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.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
41 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 6 modules in this course
In this week, we will cover the key concepts: Place value and Number systems. You will learn about the notion of number bases, how to do operate in binary.
What's included
13 videos4 readings9 assignments6 discussion prompts
In this week, we will extend the place value and number systems to Octal, Hexadecimal and any other bases. You will also be introduced to the usefulness of hexadecimal in computer science.
What's included
7 videos2 readings6 assignments1 peer review3 discussion prompts
In this week, we will cover the key concept of congruence modulo an integer. You will also be introduced to the usefulness of congruence and modular arithmetic operations in computer science.
What's included
9 videos2 readings8 assignments1 peer review4 discussion prompts
In this week, we will cover the key concept of number sequences. You will look into more detail at a special family of sequences, called progressions, and study arithmetic and geometric progressions.
What's included
7 videos3 readings5 assignments1 discussion prompt
In this week, we will cover the key concept of number series, building on number sequences. You will look into more detail at a special family of series arising from arithmetic and geometric progressions. You will look at expression summations of sequences using a compact form with a summation symbol.
What's included
10 videos1 reading8 assignments3 discussion prompts
In this week, we will cover the key concept of coordinate system, functions and graphical representation of functions, and kinematics. You will look at the example of modelling motion.
What's included
17 videos2 readings5 assignments1 discussion prompt3 plugins
Instructors
Instructor ratings
4.5 (60 ratings)
Recommended if you're interested in Math and Logic
University of London
DeepLearning.AI
University of California San Diego
The Hong Kong University of Science and Technology
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.
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.1
233 reviews
- 5 stars
59.65%
- 4 stars
16.30%
- 3 stars
9.44%
- 2 stars
4.72%
- 1 star
9.87%
Showing 3 of 233
PZ
5
Reviewed on Oct 15, 2020
I had enjoy learning math with Dr. Sara Santos. The quizzes were challenging though
AS
5
Reviewed on May 15, 2022
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
AB
5
Reviewed on Jul 18, 2020
Gentle introduction into mathematics for computer science, taught with a lot of enthusiasm.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
More questions
Financial aid available,