why “new tools for engineering education” › sites › default › files › new tools for...
TRANSCRIPT
1© 2015 The MathWorks, Inc.
WHY “New Tools for
Engineering Education”
Contribution to Panel discussion by
MathWorks
Ken DunstanDecember 2015
2
MathWorks Product Families
for simulation and
Model-Based Design
for technical computing
3
Key Industries
Aerospace and defense
Automotive
Biotech and pharmaceutical
Communications
Education
Electronics and semiconductors
Energy production
Financial services
Industrial automation and
machinery
Medical devices
4
Everyone has data now …
Finance?
medical
Data is Power
5
… but what do we do with it?
Is coding the new literacy?
Algorithms in Everything
6
“Modern cars have 70 to 100 processors with over 100 million
lines of code!”
Algorithms in Everything
7
But…,to put algorithms
in everything, manual coding
isn’t enough.
8
How does industry handle this complexity?
Power
Management
Transmission
EngineRide Control
ABS
Steering
Stability Controls
Traction Control
Obstacle
Detection
Adaptive
Cruise Control
Crash
Avoidance
Airbags
Adaptive Front
Lighting Systems
Passenger
Detection
Windows
Doors
Lights
Climate Controls
Driver DrowsinessInfotainment
Instrumentation
Voice
Recognition
Navigation
Wireless
Connectivity
9
Designing the optimal way to
do this…
starts with this
10
How will students learn to design, operate, or enhance a “fusion” of complex systems?
11
Where do these algorithms run?
LOW-COST HARDWARE
12
The Rise of Low-Cost
Hardware for everybodyArduino
300,000+ commercially produced
$30 (UNO), $55 (Mega 2560), $55 (Due)
Raspberry Pi
2.5+ million shipped
$35 (Model B)
Raspberry PiZero
Announced
$5
LEGO Mindstorms EV3
3rd generation from
LEGO Mindstorms
$350 (for base set)
13
Idea
Realization
Setup
Right ToolVersions
Right Libraries
Right Hardware Settings
Right Compilers
Coding and Fixing Mistakes
Rubik’s
Cube Solver
Autonomous
Boat
Weather
Station
Walkie
Talkie
By spending less time onHW/SW configuration…
14
Idea
Realization
Setup
Tools
and more time on their algorithms. . .
15
Design Competitions - Robotics
15
16
New Tools do help learn &
apply their algorithmic
literacy to the “fusion” of complex systems
17
A final shout-out to Adelaide University…
The di-wheel undergrad project
“Some of the more
accomplished students
have the skills of
seasoned controls
engineers well before they
graduate.”
Dr. Ben Cazzolato
University of Adelaide
1818
University of Adelaide
19
Accelerating the pace of discovery, innovation, development, and learning in
engineering and science