Common, hard math topics
From Math Images
This page contains a list of topics commonly encountered in math courses that students often find hard. Right now, the page focuses on early college / advanced high school courses, but it would be great to extend this list to cover more basic math as well as more advanced math.
If you have ideas, please add other topics, or suggest deletions if you think that students don't often find the topic hard or that the topic is already well-covered on the Math Images site.
Adding fractions that are functions, e.g.
Understanding trig functions and the relationships between them. Picturing all of this on the unit circle, knowing values in degrees and radians
What is e?
Idea of slope
Exponential growth and decay
Single variable calculus
Pictures that show convergence
Pictures that show continuous, differentiable, and smooth functions in venn diagram sort of ways.
Limits: limits that are different from different sides, limits that are infinity.
Derivatives: a picture that shows secant lines getting smaller and smaller, until you take a limit
Riemann Sums and their applications
Contrasting sequences and series
Examples of Max and Min questions
Ratio test for convergence (which asks the question, does it behave like a geometry series)
Different coordinate systems and converting between them.
Volumes of revolution, particularly volumes revolved about lines that are not the axes.
Concept of Taylor Series, what they are, how we use them, and why we use them.
Fundamental theorem of calculus
Generalizations of fundamental theorem of calculus
What are different basis? Eg, (1,3) can look really different in three different basis.
What does orthogonality really mean? What do orthogonal functions look like?
What do eigenvalues and eigenvectors mean? maybe something on spectral theory (Anna knows about this, and can either write a page or help someone else write it).
p-values, hypothesis testing (the logic of how tests work, Central Limit Theorem)
What do confidence intervals mean (ie that a method works 95% of the time, not that you're 95% certain of your value).
Where samples fall (ie that you don't really know if your sample was just a fluke)
Disjoint vs. Independent events (explaining the differences).
Functions that go from a space of one dimension to another (e.g. , , , etc)