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Math Books (undergard)

Blogs > UdderChaos
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UdderChaos
Profile Blog Joined February 2010
United Kingdom707 Posts
August 12 2011 15:19 GMT
#1
This is another advice blog Is there anyone who can recommend some books for my first semester (second year) of my Bsc Mathematics, i want to do some reading up before i start the second year in October, here are the module names and descriptions:

Statistical Inference I

This module builds on MAT-10028 and illustrates how statistical theory is put into practice in a variety of hypothesis testing situations. The topics covered are: moment generating functions, bivariate distributions, distributions of functions of random variables, sampling theory, properties of point estimators, maximum likelihood, method of moments, interval estimation, hypothesis testing, Neyman-Pearson lemma, and some parametric and nonparametric tests.

Aims:
+ Show Spoiler +
Manipulate and derive properties of one and two-dimensional random variables, including moment generating functions, conditional and marginal distributions, distribution of functions of random variables, sampling theory and central limit theory (1, 2).
Derive and use: properties of point estimators, the method of maximum likelihood, the method of moments, methods for comparing point estimators, the Cramer-Rao Inequality and confidence intervals (1, 2).
Carry out statistical hypothesis tests, derive and use some parametric and nonparametric methods for carrying out common inferential tasks, apply the Neyman-Pearson Lemma in various circumstances (1, 2).


Operational Research II

The module presents a wide variety of techniques for solving quantitative problems arising in management and everyday life. The topics include: the transportation problem, dynamic programming, the Travelling Salesman Problem, scheduling, reliability, replacement and inventory models.

Aims:
+ Show Spoiler +
Apply a collection of standard Operational Research techniques and algorithms to deterministic problems, including the Transportation Problem, dynamic programming, scheduling, the Travelling Salesman Problem and inventory (1, 2).
Apply a collection of standard Operational Research techniques and algorithms to stochastic problems, including reliability and replacement (1, 2).
Explain the motivation for heuristics in problem-solving (1, 2).
Explain some of the issues involved in modelling organizational problems (1, 2).


Differential Equations

This module focuses on methods for solving ordinary differential equations. The topics include: solutions to first-order equations, higher order linear equations, power series methods, graphical aspects of differential equations, Fourier series and Laplace transforms.

Aims:
+ Show Spoiler +
Solve first order variable-separable, linear and exact ordinary differential equations (1, 2).
Solve second order ordinary differential equations using a variety of methods, including variation of parameters and power series methods (1, 2).
Apply methods for solving first and second order equations to solve various physical problems (1, 2).
Interpret the behaviour of solutions of ordinary differential equations through the use of phase plane analysis (1, 2).
Calculate Fourier series and derive results concerning such series (1, 2).
Solve ordinary differential equations through the use of Fourier series (1, 2).
Calculate the Laplace transform of various functions and derive some if its properties (1, 2).
Use Laplace transforms to solve ordinary differential equations (1, 2).


Analysis and Abstract Algebra

This module builds upon the first year analysis module in order to develop a rigorous theory of functions of a real variable, and introduces abstraction in mathematics through the study of abstract algebra. The module includes: limits of functions of a real variable, continuity, differentiation and Riemann integration; equivalence relations, elementary group theory, applications to number theory, modulo arithmetic, and an introduction to rings and fields.

Aims:
+ Show Spoiler +
Derive and apply properties of continuous functions, including the combination theorem, the composite rule, the intermediate value theorem and the boundedness theorem (1, 2).
Derive and apply properties of the derivative of a function, including rules for differentiation, maxima and minima, Rolle&©s Theorem, mean value theorems, L&©Hopital&©s rule and Taylor&©s Theorem (1, 2).
Derive and apply properties of the Riemann integral (1, 2).
Prove whether or not a given structure is a group or subgroup (1, 2).
Derive and derive basic properties of groups, including the order of a group, the period of an element, cyclic groups, cosets and Lagrange&©s Theorem (1, 2).
Derive and apply basic properties of group homomorphisms and isomorphisms (1, 2).
Derive and apply results in number theory, including Euclid&©s algorithm, properties of prime numbers and modular arithmetic, and apply group theory in number theory (1, 2).


Thanks

*****
Nunquam iens addo vos sursum
Nereites
Profile Joined November 2010
Canada102 Posts
August 12 2011 15:48 GMT
#2
Although I can't recommend a good textbook for Abstract Algebra (because mine was terrible) I would definitely hope/encourage you to find a good one.

Since your course combines both analysis and AA you will only be learning a little bit about AA. It's not too bad at first, so most basic textbooks should suffice, but near the end of my second algebra course my brain was ready to explode.. I think I eventually ended up, picking up some old book from the library and things started to make a little more sense because it was written so much clearer. Prior to that all I could work with was lecture notes.

I didn't find textbooks to help much for analysis. You could either "see" the proof or you had to work really hard to get it. Having said that, have you done a course in discrete math or something that will have introduced you to basic proof techniques? I did have a good book for that course, and if you're doing analysis you definitely want to know those basic proof techinques!

Have fun this semester! analysis and AA are interesting topics! (too me anyways)

Does your school have any recommended books or do you need to find your own? I would assume they have recommended ones. If so, what are they? Might be the same ones I used.
Stop whining about imbalance. You're just bad (likely) at the game and I am probably worse. Just have some fun
munchmunch
Profile Joined October 2010
Canada789 Posts
Last Edited: 2011-08-12 16:29:32
August 12 2011 16:25 GMT
#3
For the level of analysis you are talking about, I highly recommend Spivak's "Calculus". Although it might look like an first-year calculus book, it is often referred to as an introduction to analysis, since it really focuses on how to prove all the theorems of first-year calculus. It has a very nice treatment of basically everything you are going to cover.

Edit: Amazon link.
Lpspace
Profile Joined April 2011
4 Posts
August 12 2011 16:30 GMT
#4
The standard text for the statistics class is Statistical Inference by Casella and Berger, which is fairly decent as statistics books go. For DiffEq, there is a nice old book you can buy for about $10 by Tennenbaum and Pollard that covers what you need at a good pace and has good exercises.

If you've never had a proofs based class before, I don't know a good text for algebra or analysis. If you have the mathematical maturity, Rudin's Principles of Mathematical Analysis has educated a few generations of mathematicians. It is the gold standard of elementary real analysis texts, but it is rather unforgiving. Dummit and Foote is pretty solid as algebra texts go if you want to get a bit ahead. If you feel the need to have your hand held a bit, A First Course in Abstract Algebra by Fraleigh does a reasonable job of going over the basics at a slow pace with lots of examples.

I don't know good texts for OR.
]343[
Profile Blog Joined May 2008
United States10328 Posts
August 12 2011 16:47 GMT
#5
The book I used for algebra was Michael Artin's Algebra. Apparently it's "antiquated" in some sense, even though the second edition was published just last year... but it has plenty of examples and tons of practice problems, and it's presented in a generally nice way. A lot of the group theory stuff is presented with a linear algebra twist, if that's a bonus (or not). It's not exactly at a "slow" pace, but examples (and working through them yourself) are really helpful!

I think the standard text on real analysis is Rudin? But it's a pretty tough read, I've heard (I'm only taking analysis this semester so we'll see...) My impression of the class from looking at friends' problem sets is that analysis is all about finding the right definition and then applying it XD
Writer
OpticalShot
Profile Blog Joined October 2009
Canada6330 Posts
August 12 2011 16:54 GMT
#6
I remember taking Urban Operations (CIV1599) and Freight Transportation (CIV1506) back in university and both courses had no textbook, so you might be out of luck in this area.

[TLMS] REBOOT
munchmunch
Profile Joined October 2010
Canada789 Posts
August 12 2011 17:00 GMT
#7
On August 13 2011 01:47 ]343[ wrote:
The book I used for algebra was Michael Artin's Algebra. Apparently it's "antiquated" in some sense, even though the second edition was published just last year... but it has plenty of examples and tons of practice problems, and it's presented in a generally nice way. A lot of the group theory stuff is presented with a linear algebra twist, if that's a bonus (or not). It's not exactly at a "slow" pace, but examples (and working through them yourself) are really helpful!

I think the standard text on real analysis is Rudin? But it's a pretty tough read, I've heard (I'm only taking analysis this semester so we'll see...) My impression of the class from looking at friends' problem sets is that analysis is all about finding the right definition and then applying it XD

Artin and Rudin are good books, but probably way too advanced given the "aims" in the OP.
Zortch
Profile Blog Joined January 2008
Canada635 Posts
August 12 2011 17:01 GMT
#8
You should tell us what you are looking for in a textbook. Do you want something that is easy to read, something that is super detailed, lots iof rigor or more casual etc...? Everyone is going to have their own texts that they like and dislike also so watch out.
If you're just looking to get a sense for things before the course there is no need to get a textbook for the material you describe. Just use wikipedia or any of the many online sites you can find with a quick google search.
If you really want a book to start at it before the course email the instructors and ask what they would suggest - chances are that will be most useful to you.
Respect is everything. ~ARchon
potatoedoughnut
Profile Joined July 2008
United States334 Posts
August 12 2011 17:11 GMT
#9
On August 13 2011 02:01 Zortch wrote:
If you really want a book to start at it before the course email the instructors and ask what they would suggest - chances are that will be most useful to you.


I would do this.
Eagles may soar, but weasels do not get sucked into jet engines.
Horuku
Profile Blog Joined August 2010
United States405 Posts
August 12 2011 17:12 GMT
#10
Wouldn't you want to just buy the course books for the courses you will be taking so you can have it available when the teacher inevitably assigns problems from it?

"Undergard", nice typo Dem colage folkz be smratzs .
d<^^>b
blankspace
Profile Blog Joined June 2010
United States292 Posts
August 12 2011 17:39 GMT
#11
I would definitely second spivak to get the basics straight (finally you get to see all the results from engineer's calculus proven) and then maybe try rudin where you'll learn some point-set topology. I like rudin but it's pretty dense, and if you're learning the stuff for the first time I don't really recommend it, it wont be efficient.

I haven't taken algebra yet but in hs I learned some group theory through herstein, which I thought was pretty good. Not sure how good the other sections are though.
Hello friends
n.DieJokes
Profile Blog Joined November 2008
United States3443 Posts
August 12 2011 17:45 GMT
#12
On August 13 2011 01:30 Lpspace wrote:
A First Course in Abstract Algebra by Fraleigh does a reasonable job of going over the basics at a slow pace with lots of examples.

Nice, thank you
MyLove + Your Love= Supa Love
Divergence
Profile Joined July 2011
Canada363 Posts
August 12 2011 17:54 GMT
#13
If you have taken basic (non-rigorous) calculus before and you are familiar with proofs and set theory then Rudin's Principles of Mathematical Analysis (also known as "Baby Rudin") would be a great choice for learning Real Analysis. I really enjoyed reading this book.

Link (paperback version is priced very reasonably): http://www.amazon.com/Principles-Mathematical-Analysis-International-Mathematics/dp/0070856133/ref=tmm_pap_title_0
Notdefect
Profile Joined June 2011
United States14 Posts
August 12 2011 18:21 GMT
#14
When I took Diff EQ we used Diff EQ. I thought it was pretty good, especially in the area of Laplace Transforms. It's really tough to find a good Diff EQ book as normally if the problem sets are good the explanations suck and vice versa. This one had good explanations IMO. Good luck either way!
UdderChaos
Profile Blog Joined February 2010
United Kingdom707 Posts
August 12 2011 18:47 GMT
#15
On August 13 2011 02:54 Divergence wrote:
If you have taken basic (non-rigorous) calculus before and you are familiar with proofs and set theory then Rudin's Principles of Mathematical Analysis (also known as "Baby Rudin") would be a great choice for learning Real Analysis. I really enjoyed reading this book.

Link (paperback version is priced very reasonably): http://www.amazon.com/Principles-Mathematical-Analysis-International-Mathematics/dp/0070856133/ref=tmm_pap_title_0

We did 2 mathematical method modules in first year, so stuff like vectors, euclidean n space, double integration, ODE's ect. And a module on set theory and probability, and then also a module called foundations of analysis, so the very basics like induction and proofs and limits. Does that help? And im looking for books to help me during the course/providing an introduction. I haven't asked the lecturers because im not sure who is running which course
Nunquam iens addo vos sursum
Fission
Profile Blog Joined August 2010
Canada1184 Posts
August 12 2011 18:52 GMT
#16
Probably one of the best books for Real Analysis is "Calculus" by Michael Spivak.
Foolishness *
Profile Blog Joined May 2009
United States3044 Posts
August 13 2011 03:51 GMT
#17
Introduction to Operations Research by Hillier and Lieberman is the universally accepted best book for undergraduate OR. As OR is still a relatively new field, it's hard to find books at the undergrad level that cover a wide variety of topics. Books will either take the mathematical approach (focusing on LP, Graph Theory, and deterministic optimization), the statistical approach (focusing on markov theory and stochastic methods, such as annealing), or a more industrial engineering approach (where the focus is on modeling, inventory and supply chains).

A good resource is Model Building in Mathematical Programming by H. Paul Williams. It has a lot of application problems (scheduling, transportation, etc) with various twists and how to solve them. IIRC there were some stochastic problems in there as well. I only got this book at graduate school so it may be a bit beyond your level.

If you got any other questions let me know; OR people seem to be few in number here x.x
geript: "Foolishness's cases are persuasive and reasonable but leave you feeling dirty afterwards. Kinda like a whore." ---- Manager of the TL Mafia forum, come play!
susySquark
Profile Blog Joined May 2010
United States1692 Posts
August 13 2011 04:18 GMT
#18
What's your major? As a physics major this was the most helpful book I've ever worked with.

http://www.amazon.com/Mathematical-Methods-Physical-Sciences-Mary/dp/0471198269/ref=sr_1_1?ie=UTF8&qid=1313209081&sr=8-1
Klive5ive
Profile Blog Joined January 2008
United Kingdom6056 Posts
Last Edited: 2011-08-13 10:38:51
August 13 2011 10:37 GMT
#19
On August 13 2011 13:18 susySquark wrote:
What's your major? As a physics major this was the most helpful book I've ever worked with.

http://www.amazon.com/Mathematical-Methods-Physical-Sciences-Mary/dp/0471198269/ref=sr_1_1?ie=UTF8&qid=1313209081&sr=8-1

We dont really have majors in the UK. All courses for Bsc are 3 years(we dont tend to do foundation years becuase of our a-level system which is like a foundation year knowledge), and you study the content of the course name, so in his case pure mathematics.
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