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Overview
Welcome to Introduction to Numerical Mathematics. This Mathematics for Computer Science course 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.
Skills you'll gain
- Mathematics
- Mathematical Theory & Analysis
- Problem Solving
- Calculus
- Critical Thinking
- Theoretical Computer Science
Programme Structure
Courses include:
- Number Bases - Binary
- Number Bases - other bases
- Modular arithmetic
- Sequences
- Series
Key information
Duration
- Part-time
- 7 days
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Mathematics Computer Sciences View 457 other Short Courses in Computer Sciences in United StatesWhat students do after studying
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Academic 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 prior experience required
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
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.
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