Overview
Welcome to Introduction to Numerical Mathematics. This Mathematics for Computer Science offered by Coursera in partnership with University of London 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.
What You Will Learn
- Transform numbers between number bases and perform arithmetic in number bases
- Identify, describe and compute sequences of numbers and their sums.
- Represent and describe space numerically using coordinates and graphs.
- Study, represent and describe variations of quantities via functions and their graphs.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Number Bases - Binary
- Number Bases - other bases
- Modular arithmetic
- Sequences
- Series
- Graph Sketching and Kinematics
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 days
Start dates & application deadlines
Language
Delivered
Disciplines
Mathematics Computer Sciences View 737 other Short Courses in Computer Sciences in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- No previous experience necessary
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 days.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.