Difference between revisions of "MATH 1554"
(Overhauled content section) |
m (Minor wording change) |
||
Line 45: | Line 45: | ||
MATH 1554 is generally taken by freshmen due to having almost no prerequisites. |
MATH 1554 is generally taken by freshmen due to having almost no prerequisites. |
||
===Workload=== |
===Workload=== |
||
− | Content in MATH 1554 is typically assessed through homework, quizzes, and exams. These tend to have a mix of questions on theory, |
+ | Content in MATH 1554 is typically assessed through homework, quizzes, and exams. These tend to have a mix of questions on theory, often given as true/false questions, and computation. While the course requires no formal proofs, the theoretical nature of the course can be challenging for first-year students who have never taken these types of classes before. Homework may not be overly time-consuming, but questions often involve a bit of thinking. |
===Resources=== |
===Resources=== |
||
Revision as of 15:20, 13 June 2021
Content and Structure
Topic List
- Linear Systems and Transformations
- Systems of Linear Equations
- Row Reduction and Echelon Forms
- Vector Equations
- The Matrix Equation
- Solution Sets of Linear Systems
- Linear Independence
- Linear Transforms
- Matrices and the Matrix Inverse
- Matrix Operations
- Matrix Inverse
- Invertible Matrix Theorem
- Partitioned Matrices*
- LU Factorization
- Leontief Input-Output Model*
- Computer Graphics*
- Subspaces
- Dimension and Rank
- Determinants and Eigenvalues
- Determinants
- Volume and Linear Transforms*
- Markov Chains*
- Eigenvalues and Eigenvectors
- Characteristic Equation
- Diagonalization
- Complex Eigenvalues*
- Google PageRank*
- Orthogonality
- Inner Products
- Orthogonal Sets
- Orthogonal Projections
- The Gram-Schmidt Process
- Least-Squares
- Symmetric Matrices and Quadratic Forms
- Symmetric Matrices
- Quadratic Forms
- Constrained Optimization*
- Singular Value Decomposition (SVD)*
* Topic not covered in MATH 1553
Prerequisite Knowledge
Almost no prerequisite knowledge is required, apart from algebra and trigonometry.
Relation to the Overall Curriculum
MATH 1554 is generally taken by freshmen due to having almost no prerequisites.
Workload
Content in MATH 1554 is typically assessed through homework, quizzes, and exams. These tend to have a mix of questions on theory, often given as true/false questions, and computation. While the course requires no formal proofs, the theoretical nature of the course can be challenging for first-year students who have never taken these types of classes before. Homework may not be overly time-consuming, but questions often involve a bit of thinking.
Resources
- https://gatech.instructure.com/courses/114544 provides a set of videos and old exams for MATH 1554.
- Interactive Linear Algebra is a free online, interactive textbook made by Georgia Tech professors. Although the textbook is intended for MATH 1553, it is still useful due to the similarity in concepts between MATH 1553 and 1554.
- 3blue1brown Essence of Linear Algebra Video Series provides a nice conceptual look into linear algebra. The video series uses visuals and animations extensively.
Course Page
Topic List
MATH 1554 is basically just MATH 1553 but with an extra set of chapters (denoted with a *).
- Systems of Linear Equations
- Vectors in Rn
- Linear Independence and Transformations
- Matrix Algebra
- Subspaces in Rn
- Determinants
- Markov Chains (*)
- Eigenvalues and Eigenvectors
- Complex Eigenvalues (*)
- PageRank (*)
- Orthogonality
- Symmetric Matrices
- Quadratic Forms (*)
- Singular Value Decomposition (*)
How it fits in the curriculum
Linear Algebra doesn't use any calculus, making it different from intro courses such as MATH 1551 and MATH 1552. This does mean that you can take MATH 1554 without any calculus credit.
However, future calculus classes like Multivariable Calculus (MATH 2550/2551) and Differential Equations (MATH 2552) will use Linear Algebra concepts such as matrices, determinants, eigenvalues, characteristic equations, etc. Additionally, Linear Algebra is important for math classes required for CS such as Applied Combinatorics (MATH 3012) and Algorithms (CS 3510)
Current Registration Info
This is a linked course with both a lecture and studio section. You must register for a lecture section (e.g. A, B, C) and a corresponding studio section with the same letter (e.g. lecture section A will have studio section A01, A02, etc.).
For the lecture sections, notice how they all include one time-block very late in the day. This is likely the test period, which will only meet a few times per semester. [TODO some1 confirm]
Prerequisites
At least one of the following:
- D or higher in MATH 1113 (Precalculus).
- D or higher in MATH 1552 (Integral Calculus) or equivalent.
- 620 or higher on the Math section of the SAT
- 26 or higher on the Math section of the ACT.
Equivalent Courses
MATH 1564. If you enjoy theoretical math and proofs a lot, and consider yourself very good at math, consider taking MATH 1564 instead.
Majors That Require This Class
- Applied Physics
- Computational Media
- Computer Engineering
- Computer Science
- Earth and Atmospheric Sciences
- Electrical Engineering
- Mathematics
- Physics