but graphing is where I draw the line
She's not coming back. And don't ask y.
Hey all, just decided to go back to school a few months ago and have completed all my other gen ed courses. Been waiting to do kath so i could do them all in rapid succession.
Havent taken math since high school algebra about 10 years ago. I have always liked math and been quick to pick it up just dont remember much from back then.
My goal is to test out of college algebra (CLEP) by the end of june then take calculus and discrete math through study.com
I defintiely need a refresher on the algebra basics and am planning on using khan academy.
I am also working through the logic and fundamentals of mathematics on brilliant.org and will probably continue through some of the algebra courses on there as well.
Would you reccomend doing anything else? Thanks in advance.
Just got the Algebra 1 State Test Results of my students today.
Did not meet: 0%
Can I consider I am successful?
I've got a joke about vectors... But it's not normal.
I've got a joke about matrices, it's singular
I don't have a joke about analysis but I'm very close to get it
I had a joke about induction so now I have two jokes about induction, so now I got three jokes about induction...
I don't have a joke about the mean value theorem but I can prove it exists
I've got a calculus joke but it's very derivative
I've got another analysis joke, but it's very measured
I've got a statistics joke. But it's very mean
Cocategories about a cojoke I've cogot
I've got a combinatorics joke, but it doesn't count
I've got a i0xd about topology
I've got a joke about algebraic geometry. Nobody understands it
I have been self learning C++ and JS for a while now (weird duo, I know). After trying to follow a Game Engine series, I feel I'm lacking/forgotten some fundamental concepts in math. Has anyone had this issue and found a nice series of books that helped them satisfy their needs?
I suppose I could also follow an online series too if anybody has any suggestions along those lines.
Edit: Thank you everyone for your amazing suggestions.
I have a STEM background, math-heavy. I now have to study Economics very quickly, both Micro and Macro. It's written in plan language, and, at first blush, the assumptions of Neoclassical theory seem weird - people don't have explicit and consistent utility functions that can map any basket of commodities to a single numerical Real value, or even ones that can consistently organize the sets of possible baskets by preference or indifference.
However, these formulations started to make sense to me once I tried to phrase them as mathematical statements - I'm getting the impression that they're an effort to take a very complicated and messy reality and express it into tidy, mathematically rigorous models. You don't really answer the question you set out to, but you answer one about something that's somehow close to your target while being much easier to measure and model and operate with.. It's the resource-allocation equivalent of physics' infamous "perfect rigid sphere through a frictionless void on a perfectly straight inclined plane with infinite friction coefficient and no slip or rolling resistance being released at time t=o with velocity v=0" as something that is utterly deranged and surreal at first glance, but is a useful first approximation on the long road to "how should I build the brakes on this car so it can go down the steepest hills with roads on them at a fluid yet safe traffic speed" or "how do I design the rails and wheels on these drawers so that they slide down into place when released and slow down smoothly at the end so that they close just so".
Sorry for the detour. TLDR, what I mean to ask is: what are good textbooks on "economics for STEM-trained dummies" or "economics in math-speak" or "good luck writing any of this digitally without generous helpings of AMS-LaTeX"?
Lately, I've been growing concerned about the increasing influence of the argument that advanced high school math classes are somehow unnecessary or not worth putting students through. While I do think there are a lot of things that can be improved about the current state of U.S. math education, I feel an urge to defend a subject that I love and think is essential learning for all students. I've summarized my best arguments for advanced high school math education below:
If math education is so bad, is there anything we can do to fix it? I'm less sure about this, but I've included two proposals below:
I've included a longer form of this argument in a [substack post](h... keep reading on reddit ➡
Context: So, I finished with all the math classes that my high school offers (up to AP Calc BC and AP Stats) and I feel the need to take math for all four years in high school, as an aspiring engineering major. Is Linear Algebra a good choice amidst the chaos that comes with applying to college?
Also, in the case of me not taking this course (or any math course), would colleges dislike seeing only three years of math in my transcript?
Hello, I’m a PhD student studying Molecular Engineering, and my BS and MS degrees are also in the physical sciences and engineering. For context, most of my research work involves programming and numerical analysis, mostly for the purpose of performing physics simulations or applying machine learning tools. Needless to say, my day-to-day work is heavily focused on performing *applied* mathematics.
I love math -- it's why I chose this career path, but for a while now, I’ve felt a desire to dive deeper into the rigor of pure math topics that I haven't had an opportunity to learn yet. However, I've been having some trouble deciding which classes to take (as I choose my final elective classes needed for my degree), as it's hard to tell which ones will most benefit my way of thinking about abstract topics and phenomena. I've been considering taking classes in abstract algebra, or real analysis, or topology. In general, I'm a self-study type of person, so I've been trying to learn some of these topics on my own, but I feel that in this specific context my efforts would be much more fruitful with the assistance of a class (for instance, I have been trying to study Abstract Algebra by Dummit and Foote on my own, but I feel like my progress is very slow, and I'm missing the point with respect to many central themes).
So, what are your thoughts? If you could recommend some pure math classes that would most expand the mind of someone in the mathematical sciences, what would you recommend? Do I just hold abstract algebra on a pedestal, and would my time be better spent in a different pure-math class?
Any feedback would be much appreciated, and thank you!
I’ll be starting my Master in Statistics this Fall and an understanding of Multivariable Calculus and Matrix Algebra are a crux to many of my first semester courses. Although I have a background in Mathematics and have studied Linear Algebra and Differential Calculus in my undergrad which was approximately two years back. I am looking for a MOOC or quick course that will help me with enough material walkthrough that would be required to grasp the Statistical concepts. The reason I’m asking for an online resource and not a textbook is because I have a full-time job right now and going through an entire textbook that is not an easy read would be arduous.
Thank you for the help!
just got a 93 on my algebra end of course exam. big dubs
I'm trying to improve as a teacher by relating the mathematical concepts we learn to real life, and I can't for the life of me figure when anyone would ever need to find the discriminant. Does it have any practical use at all? Or is it an observation for observation's sake?
The closest I've found is that it's a "double check" for the number of solutions you end up getting, but the discriminant is the longest and most complex part of the quadratic formula. It seems ridiculous to, at that point, not just compute the rest of the formula, which is almost trivial. In short, if you're going to calculate the discriminant, why not just use the quadratic formula entirely?
Thanks in advance.
So uhh according to SIS I'm supposed to be taking Linear Algebra with McLaughlin in like 5 minutes but I haven't been able to find any email communication from him or anything on blackboard. I know I shoulda looked into it sooner, but it anyone else having the same trouble? I saw some guy on the school discord say the same but seemingly no solution yet.
Hey everyone, I'm currently reading Sandy Maguire's Algebra Driven design and I'm really enjoying it. I thought I would try making a charting library using these principles but am struggling to formulate an elegant algebra. Does anyone have any advice with regards to designing an API using algebraic laws?
Thanks in advance.
I've taken the equivalent of one or two courses in linear algebra. I also have somewhat of a computer science background. But I've never taken a formal analysis class which might be a dealbreaker (?). Not really sure if I'm jumping the gun here but numerical linear algebra seems interesting.
If possible, I'd like to find a book that gives a good birds-eye view of various common types of problems that arise in numerical linear algebra, the algorithms/methods used to solve them and the intuition/proof for why they work.
I broke down every race into each of its traits (i.e. "Darkvision 60ft", "+1 Language", "Halfling Lucky") and then listed every trait, assigning it a variable name (i.e "X", "Y", "Z"). I turned all of them into equations (for example, Half-Elves are also known as " 1T + 1D + 1Q + 1F + 2E = 1"). I then attempted to use substitution and elimination methods to isolate every variable and assign numerical values to create a point-buy system.
The result was crazy, to say the least. A wizard cantrip of your choice ended up being worth the same amount as a tool proficiency of your choice. I expected some negative values (such as walking speed -5 from dwarves and halflings, or sunlight sensitivity from Drow, as these are both strictly negative traits), but I did not expect Wood Elf's +5 walking speed to be one of them (with a magnitude worth 2 skill proficiencies).