Hey everyone, if you would like to get a grip on differential equations and are willing to put in the work, then you should know that an instructor paced run starts on May 31st. If you know single variable calculus then you're set to jet! Please sign up here:<p><a href="https://mitxonline.mit.edu/courses/course-v1:MITxT+18.03.1x/" rel="nofollow">https://mitxonline.mit.edu/courses/course-v1:MITxT+18.03.1x/</a><p>Incidentally, the prerequisite: 18.01x, also starts on May 31.<p><a href="https://mitxonline.mit.edu/courses/course-v1:MITxT+18.01.1x/" rel="nofollow">https://mitxonline.mit.edu/courses/course-v1:MITxT+18.01.1x/</a>
It's funny how differential equations just boil down to plain linear algebra when you restrict yourself to the discrete time domain setting. I feel like courses like this should lead with that to save time for people who will primarily handle them inside computers.
I always thought that math was super well curated…right up until differential equations. Beautiful calculus and linear algebra, followed by a bag of tricks to solve DEs.
Hey, unrelated: Does anyone know why it seems MITx stopped offering new courses ~5 years ago? I'm still bummed out and check their page a few times a year.<p>(I can vouch for this class and the 2x2 one btw; great stuff; I'd recommend any of their math and science courses. The QM ones are especially good)
Are there any interesting modern applications of diff. equations in computer science outside physics simulators, and 3d vision? Or some adjacent areas that would benefit from skillset of working with diff. equations?
I guess it's $100 for a bunch of videos of lecturer scratching on a whiteboard something that you can learn yourself with interactive demos, sympy and a jupiter notebook.
Are we signing up as a group and going to form a discussion somewhere?<p>I've wanted to redo differential equations so I could buy an Analog Thing...