I've just finished my first year of Mathematics, have received my results and now need to choose my modules for the second semester of the coming year.

I would like some information from former 2nd years as to what are the easier modules to take. I have an idea that the more statistics/finance-oriented modules are generally easier, so may even switch to the Maths with Mathematical Finance course.

For a better idea of what I mean by easy/easier. In first year it is possible to do well in courses simply by learning what to predict from the three or so past papers provided. A comprehensive understanding nor mastery of the course is not required at all. Does this trend continue for at least some courses following first year?

I would like some information from former 2nd years as to what are the easier modules to take. I have an idea that the more statistics/finance-oriented modules are generally easier, so may even switch to the Maths with Mathematical Finance course.

For a better idea of what I mean by easy/easier. In first year it is possible to do well in courses simply by learning what to predict from the three or so past papers provided. A comprehensive understanding nor mastery of the course is not required at all. Does this trend continue for at least some courses following first year?

Statistics is a piece of p*ss, you need nothing more than basic calculus.

Original post by Dot.Cotton

Statistics is a piece of p*ss, you need nothing more than basic calculus.

I assume that goes for the Statistical Methods course we got.

And what modules are particularly hard-er; for the sake of comparison. I've heard Real and Complex analysis is for instance, though that's compulsory.

Original post by TheFuture001

I assume that goes for the Statistical Methods course we got.

And what modules are particularly hard-er; for the sake of comparison. I've heard Real and Complex analysis is for instance, though that's compulsory.

And what modules are particularly hard-er; for the sake of comparison. I've heard Real and Complex analysis is for instance, though that's compulsory.

Even graduate level statistics requires little more than bare-bones calculus and linear algebra.

Generally the more proof-based a module is, the more people struggle with it. On a scale of easy to hard, areas of maths would likely go something like Statistics-Probability-Applied Maths-Algebra-Analysis.

Original post by Dot.Cotton

Even graduate level statistics requires little more than bare-bones calculus and linear algebra.

Generally the more proof-based a module is, the more people struggle with it. On a scale of easy to hard, areas of maths would likely go something like Statistics-Probability-Applied Maths-Algebra-Analysis.

Generally the more proof-based a module is, the more people struggle with it. On a scale of easy to hard, areas of maths would likely go something like Statistics-Probability-Applied Maths-Algebra-Analysis.

I see. Thanks for your help

What year are you btw, or have you graduated?

Original post by Dot.Cotton

Even graduate level statistics requires little more than bare-bones calculus and linear algebra.

Generally the more proof-based a module is, the more people struggle with it. On a scale of easy to hard, areas of maths would likely go something like Statistics-Probability-Applied Maths-Algebra-Analysis.

Generally the more proof-based a module is, the more people struggle with it. On a scale of easy to hard, areas of maths would likely go something like Statistics-Probability-Applied Maths-Algebra-Analysis.

Probability theory is very measure-theoretic and involves a lot of analysis at a higher level. It's ridiculous to say that statistics or probability is any easier or harder than algebra or analysis, given that all these areas are huge and encompass a lot of branches of maths. There's no reason to say analysis is any harder or easier than algebra; it depends on the person and the subject you're doing.

I know this is old, but what is easy and hard in math is very individual. I found the math in Operations Research easy, but what was hard, for me at least, was converting a problem into one that could be solved by operations research. Usually, Analysis is considered hard. I was really worried about it, but surprisingly, it was a snap for me, and I loved it. I did all the analysis options I could. I did all the Stats options not because I liked it or found it easy, but the professor was such a funny guy I was hooked.

(edited 2 months ago)

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