You need to be a member of diydrones to add comments!

This reply was deleted.

### Activity

RT @SmallpixelCar: Wrote a program to find the light positions at @circuitlaunch. Here is the hypothesis of the light locations updating ba…

RT @SmallpixelCar: Broke my @HokuyoUsa Lidar today. Luckily the non-cone localization, based on @a1k0n LightSLAM idea, works. It will help…

RT @luxonis: OAK-D PoE Autonomous Vehicle
(Courtesy of zonyl in our Discord: https://discord.gg/EPsZHkg9Nx) https://t.co/PNDewvJdrb

RT @f1tenth: It is getting dark and rainy on the F1TENTH racetrack in the @LGSVLSimulator. Testing out the new flood lights for the racetra…

RT @JoeSpeeds: Live Now! Alex of @IndyAChallenge winning @TU_Muenchen team talking about their racing strategy and open source @OpenRobotic…

RT @DAVGtech: Live NOW! Alexander Wischnewski of Indy Autonomous Challenge winning TUM team talking racing @diyrobocars @Heavy02011 @Ottawa…

Incredible training performance with Donkeycar
https://www.youtube.com/watch?v=9yy7ASttw04

RT @JoeSpeeds: Sat Nov 6 Virtual DonkeyCar (and other cars, too) Race.
So bring any car? @diyrobocars @IndyAChallenge https://t.co/nZQTff5…

RT @JoeSpeeds: @chr1sa awesomely scary to see in person as our $1M robot almost clipped the walls as it spun at 140mph. But it was also awe…

RT @chr1sa: Hey, @a1k0n's amazing "localize by the ceiling lights" @diyrobocars made @hackaday!
It's consistently been the fastest in our…

RT @IMS: It’s only fitting that @BostonDynamics Spot is waving the green flag for today’s @IndyAChallenge!
Watch LIVE 👉 https://t.co/NtKnO…

RT @IndyAChallenge: Congratulations to @TU_Muenchen the winners of the historic @IndyAChallenge and $1M.
The first autonomous racecar comp…

RT @JoeSpeeds: 🏎@TU_Muenchen #ROS 2 @EclipseCyclone #DDS #Zenoh 137mph. Saturday 10am EDT @IndyAChallenge @Twitch http://indyautonomouschallenge.com/stream…

RT @DAVGtech: What a great way to connect why @diyrobocars community is so valuable and important! Have to start somewhere @IndyAChallenge…

## Replies

But, in general, getting better at math will be useful in any technical pursuit.

I thought my high school calc class was really rinky-dink at the time, but when I hit college, I was well into the 2nd semester before we started hitting things that I had absolutely never seen before. Having seen many of these bizzare and crazy things already once (even if I hadn't fully mastered them in HS) was a huge benefit towards doing well and really learning the stuff in college.

The other thing about a class like calc is that it will really push you to become comfortable with many basic mathematical tools and concepts ... trig, algebra, factoring equations, etc. etc. You'll be doing a lot of basic things so often they will become almost second nature ... and these sorts of mathematical tools and building blocks are exactly what you'll run into if you start programming an attitude determination filter, or an autopilot, or navigation system, or a turret controller, or a vision processing system, or a ground station, or a simulation of any of these things.

Here's another thought. If you are trying to do something even moderately difficult in the uav world, you might be out scanning through research papers to find a better or more efficient way to do your task. Research papers are often very technical, and if they come from an engineering perspective, often chock full of mathematical notation and language to express the key concepts. Again, taking calc and subsequent follow-on math classes will make you that much more comfortable reading and writing the language of math, and will enable you to better make sense of much of the research and books that are available to the uav world.

Quick summary.

1. Calc in high school is excellent prep for calc in college assuming college is in your future.

2. Calc (and all the underlying concepts that get drilled into your brain) will be very useful in your professional "toolbox" as soon as you dive into any type of student or work project.

3. Calc helps you learn and refine your ability to speak "math" which is an important way to convey many of the underlying concepts that are leveraged in the uav related fields.

I agree with Ryan, I don't use much if any of the more exotic concepts I learned (and promptly forgot) from my calc class. But many of the basics tools and building blocks I use over and over and over again ... I took computer science level math classes. Now that I'm doing more "engineering", I miss not having taken some of the math classes that are more geared for engineers.

Just my 2 cents ...

MIT has a great online courseware site.

Look at this site: http://www.catonmat.net/blog/mit-linear-algebra-part-one/ it's the guy's review of MIT's Linear Algebra course. (class one)

Also, if you're interested in math in general, try to find a copy of "The princeton companion to mathematics", it's probably the single most 'intense' math bible ever produced.

If you know what a basic derivative and integral are you should be fine for the most part.