For many students, this is your first college-level course in mathematics. In high school, you may have taken calculus courses that taught you to perform (sometimes rather involved) mechanical procedures for computing derivatives, integrals, and the like. About half of this course will be similar, except instead of computing integrals, you'll learn to solve systems of linear equations of various forms.
The other half of this course, however, will likely be more abstract in nature than anything you've seen before. You are at the Georgia Institute of Technology, after all — this is not high school any more. We will focus on conceptual ways of understanding equations and their solution sets. We will ask questions like, what is the dimension of a set of solutions? What are all ways we can write them down? Are there any properties of the matrices involved that we can exploit to describe the solution sets, without actually solving the equations in the first place? What kind of geometric questions can we associate to a system of linear equations?
For these reasons, the methods you used to approach your previous mathematics courses may not suffice any more. For instance:
You will probably notice that there are lots of vocabulary words in this course, such as span, linearly independent, eigenvector, invertible, etc. You have to not only learn what they mean, but learn to make them work for you. The language of mathematics is very powerful, but also very precise; having a vague idea of what a term signifies is not useful.
You may be tempted to ask, "so what's the recipe for solving this kind of problem?" or "what kinds of problems will be on the exam?" About half of the problems will not reduce to some kind of mechanical procedure, so there really is no recipe. We can't tell you that you'll only have problems of a certain form, and that we'll just fiddle with the numbers on the exams. If Wolfram Alpha can do the problem faster than you can, it doesn't count as problem solving. Problem solving is the part where you figure out what to ask Wolfram Alpha (or Mathematica, etc.) in the first place. And this is as it should be: nobody is going to hire you to do calculations that a computer can do better.
If you've read this far, then you may be worried that your usual approach is useless, and that you're in for a tough semester. Don't worry, you're smart and hardworking. You wouldn't have been admitted if we didn't think you'd succeed. You'll figure it out! Plus there are lots of resources available, so you won't be on your own.
Read on for more specific advice.
Do the homework assignments carefully
This is the only graded portion of the course where you have a full week to think about your answers. The only way to truly learn to do math is by practicing doing math — just like the only way to learn to play tennis is by spending time on the practice court.
Keep up with the daily coursework
Trying to learn everything the night or the week before an exam is like trying to learn to hit serves and backhands in one long day of practice with a big match the next day.
Work with your classmates
In addition to being a great way to get to know people, you'll find you may learn as much from your classmates as you do from your professors. I'm of the firm opinion that the advantage of being at a prestigious institution such as Georgia Tech is as much the quality of your peers as the quality of instruction.
Read the textbook before the lecture
The purpose of lecture time is to fill the gaps in your understanding, not to communicate all of the content of the course. You don't need a Georgia Tech professor to teach you the easy stuff, so we will concentrate on the tricky points.
Come to class and to studio, and pay attention
We prepare lectures carefully, and the online lecture notes will not mean much to you unless you were there to hear them explained. If you're not in class, then you won't hear us say the word "span" four hundred times in one week, and therefore you might be surprised to see it on the midterm. Besides, attendance is part of your grade.
Take advantage of the resources
We know that learning linear algebra can be hard. There are lots of ways to get help. Come to office hours! Read the textbook! Go to Math Lab! Ask questions on Piazza! We want you to succeed, but you can lead a horse to water...
Don't look for answers on the Internet
This is not because it's considered dishonest; rather, it is hard to find quality information on the Internet, and even harder to judge the reliability of any information you do find. At the very least, only use the Internet as a last resort, after you've already been stuck for a while.
This is essentially a free one-on-many tutoring service provided by the School of Mathematics, and is staffed by graduate teaching assistants. Its hours are very flexible. Here you will find people who are willing to spend lots of time helping you and answering your questions.
The Center for Academic Success has just instituted a new group tutoring program that includes math 1553. We are not yet sure if this will continue in Spring 2022.
textbook and course materials.
If you get stuck, Go back and actually read through the textbook carefully. We will post new material throughout the semester on Canvas and the course calendar.
The examples in the
There are many good examples in the ILA textbook and at the end of every section and every chapter of Lay. These are ideal for use as practice problems.
This is an online space for this class where you can post questions and help other people by answering their questions. We will also check Piazza. regularly and respond to questions. It can be accessed through the course site on Canvas. See the discussion on the organization page. Please login to it at least once, since you will not receive class announcements posted through Piazza otherwise.
If you decide you need extra, personalized help beyond what is freely available, you can consider hiring a tutor.