Difference between revisions of "MATH 1564"

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{{DISPLAYTITLE:MATH 1564 - Linear Algebra with Abstract Vector Spaces}}
MATH 2603 is a 4 credit hour course in Discrete Mathematics.
 
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MATH 1564 covers linear algebra and abstract vector spaces. It is a core [[mathematics|math]] course worth 4 credit hours. It is offered each fall semester.
   
 
== Topic List ==
 
== Topic List ==
   
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* Systems of equations
* Logic
 
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* Geometry of vectors
* Sets, relations, functions
 
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* Abstract vector spaces
* Bijection and cardinality
 
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* Spanning, independence, and bases
* Equivalence relations and partitions
 
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* Isomorphism
* Induction and recursion
 
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* Linear transformations, and the matrix of a transformation
* Algorithms
 
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* Rank-Nullity Theorem
* Combinatorics
 
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* Matrix operations
* Probability
 
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* Matrix and transformation inverses
* Graphs
 
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* Markov chains
* Trees
 
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* Change of basis
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* Orthogonal projection, Gram-Schmidt, line of best fit
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* Determinants
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* Complex vector spaces
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* Similarity, diagonalizability, eigenvalue and eigenvector
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* Page ranking
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* Jordan canonical form
   
 
== Prerequisite Knowledge ==
 
== Prerequisite Knowledge ==
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Calculus with a high score.
The GaTech math department formally requires having passed a calculus course.
 
   
Calculus is used very little, or not at all, in the course. The calculus prerequisite only shows that you are able to learn mathematics at this level.
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Calculus is used very little in this course. The calculus prerequisite only shows that you are able to learn mathematics at this level.
   
 
== Equivalent Courses ==
 
== Equivalent Courses ==
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[[MATH 1553]] and [[MATH 1554]], each of which covers linear algebra but with less emphasis on abstraction.
MATH 2602, titled "Linear and Discrete Mathematics".
 
   
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This course is preferable to the others for mathematicians and similar theorists.
There is a large overlap with topics in [[CS 2050]], although this course focuses more heavily on number theory and topics related to computing.
 
   
 
== Resources ==
 
== Resources ==
   
* The 2019 textbook was ''Discrete Mathematics with Graph Theory'' by Goodaire and Parmenter.
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* A textbook often used for this course is ''Linear Algebra'' by Hefferon.
   
 
[[Category:Courses|^MATH^MATH]]
 
[[Category:Courses|^MATH^MATH]]

Latest revision as of 12:17, 18 February 2025


MATH 1564 covers linear algebra and abstract vector spaces. It is a core math course worth 4 credit hours. It is offered each fall semester.

Topic List[edit | edit source]

  • Systems of equations
  • Geometry of vectors
  • Abstract vector spaces
  • Spanning, independence, and bases
  • Isomorphism
  • Linear transformations, and the matrix of a transformation
  • Rank-Nullity Theorem
  • Matrix operations
  • Matrix and transformation inverses
  • Markov chains
  • Change of basis
  • Orthogonal projection, Gram-Schmidt, line of best fit
  • Determinants
  • Complex vector spaces
  • Similarity, diagonalizability, eigenvalue and eigenvector
  • Page ranking
  • Jordan canonical form

Prerequisite Knowledge[edit | edit source]

Calculus with a high score.

Calculus is used very little in this course. The calculus prerequisite only shows that you are able to learn mathematics at this level.

Equivalent Courses[edit | edit source]

MATH 1553 and MATH 1554, each of which covers linear algebra but with less emphasis on abstraction.

This course is preferable to the others for mathematicians and similar theorists.

Resources[edit | edit source]

  • A textbook often used for this course is Linear Algebra by Hefferon.