introduction to matlab - fr.mathworks.com€¦ · matlab onramp • matlab web based version •...
Post on 05-Jul-2020
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Key takeaways:
Use MATLAB in all steps of your work
How easy is to automate the process
• Avoid repetition
• Save time
Automate
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What is MATLAB
It’s an interactive environment and high level programming language for
engineers and scientists
Extendable with toolboxes for specific types of analysis or areas of
expertise
Can be used for quick analysis through to developing programs for
production deployment
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Technical Computing Workflow
Reporting and
Documentation
Outputs for Design
Deployment
ShareExplore & Discover
Data Analysis
& Modeling
Algorithm
Development
Application
Development
Files
Software
Hardware
Access
Code &
Applications
Automate
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Example: Analyse weather data in UK
The data consists of:
• Mean daily maximum temperature
(tmax)
• Mean daily minimum temperature
(tmin)
• Days of air frost (af)
• Total rainfall (rain)
• Total sunshine duration (sun)
Historical weather data for different locations in UK
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Analyse a single weather station data
Visualise data
Basic statistics analysis
Can we see trends? (Ex: Global warming)
Can we predict future data? (Machine Learning)
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Analyse all data sets
Combine multiple data sets
Visualisation
Comparisons:
– Where does it rain the most?
– Is it true that in Cambridge it
does not rain so much?
– Where should I live in UK if …
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Challenges with real world data
Data
• Accessing formatted data
• Managing heterogeneous data
• Visualising
Quality
• Combining different sampling rates
• Handling missing data
• Identifying bad data (outliers)
Analysing Data
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MATLAB
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Free
Interactive training course
Geared towards new users
MATLAB Academy
self-paced training web property
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Summary & Benefits
Easy and fast to explore ideas
Automatic MATLAB code generation
Single software for entire workflow
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More details in…
Application Track 1 Application Track 2 Introductory Sessions Master Classes
11:15
Big DataWhat's New in Simulink Release
R2016a and R2016b
Introduction to MATLAB Signal Processing11:45
MATLAB and Advanced Analytics at
Shell
Fast-Paced Development in F1
Control and Analysis Systems
12:15Machine Learning and Deep
LearningNew Capabilities in Testing
Introduction to Parallel
ComputingHardware-in-the-Loop: Real-Time
Simulation
12:45 Lunch
13:15 Lunchtime Talk - Science Capital
14:00The Adoption of MATLAB Apps and
Toolboxes at Jaguar Land Rover
Physical Modelling Integration and
Cosimulation in a Real-Time
EnvironmentIntroduction to Simulink and Stateflow
Simulink for Teams: High-Productivity
Workflows14:30Developing and Sharing
MATLAB Apps and ToolboxesConnecting to Hardware and Rapid
Prototyping
15:15 Break
15:45 MATLAB Algorithm Development and
Verification for Eurofighter Typhoon
Praetorian
Applying MathWorks Tools to
Automotive Embedded Software
Development Modelling Physical Systems in
Simscape
Developing Robust MATLAB
Code and Apps16:15Modelling and Simulating RF Sensor
Systems
Verification of Automatically
Generated Code
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