Lecture meeting times: Section J/HP 2:00-2:50 in Instructional Center 103
Instructor: Sal Barone
Office: Skiles 013 and https://gatech.zoom.us/my/sbarone7
Office hours: Tue 1-2pm and Fri 11am-12pm (and by appointment, email me) - all office hours are in-person, or streamed/recorded by request.
email: sbarone at math.gatech.edu
Links for Online Instruction
MATLAB Materials
Blank Lecture Notes
Annotated Lecture Notes for current semester
Week 1 - systems of linear equations, row reduction, echelon form, linear combination, spanWeek 2 - matrix equation, solution sets, parametric vector formWeek 3 - transformations, standard matrix, 1-to-1 and ontoWeek 4 - matrix multiplication, Exam 1 review, inverses, elementary matricesWeek 5 - inverses, IMT, partitioned matrices, LU decomposition, subspacesWeek 6 - basis and dimension, rank, determinants, cofactor expansion vs. row operationsWeek 7 - transformations and volume, Markov chains, regular stochastic matrix, eigenvectorsWeek 8 - eigenvalues, Exam 2 review, diagonalization<>/li>
Week 9 - Diagonalization, basis of eigenvectors, complex eigenvalues, dot product and orthogonalityWeek 10 - Orthonormal basis, orthogonal projection, four subspacesWeek 11 - Gram-Schmidt, QR decomposition, least squares, applications of least squaresWeek 12 - Least-squares with nonlinear models, Exam 3 review, PageRankWeek 13 - Symmetric matrices, orthogonal diagonalization, quadratic forms, constrained optimizationWeek 14 and 15 - SVDFinal Exam in-class review days <-- Updated! as of 4/21
Midterm Review Material
Old Lecture Notes
Blank slides
Annotated Lecture Notes from Fall 2024
Week 1 - systems of linear equations, row reduction, echelon form, linear combination, spanWeek 2 - matrix equation, solution sets, parametric vector formWeek 3 - transformations, standard matrix, 1-to-1 and ontoWeek 4 - matrix multiplication, Exam 1 review, inverses, elementary matricesWeek 5 - inverses, IMT, partitioned matrices, LU decomposition, subspacesWeek 6 - basis and dimension, rank, determinants, cofactor expansion vs. row operationsWeek 7 - transformations and volume, Markov chains, regular stochastic matrix, eigenvectorsWeek 8 - eigenvalues, Exam 2 review, diagonalizationWeek 9 - Diagonalization, basis of eigenvectors, complex eigenvalues, dot product and orthogonalityWeek 10 - Orthonormal basis, orthogonal projection, four subspacesWeek 11 - Gram-Schmidt, QR decomposition, least squares, applications of least squaresWeek 12 - Least-squares with nonlinear models, Exam 3 review, PageRankWeek 13 - Symmetric matrices, orthogonal diagonalization, quadratic forms, constrained optimizationWeek 14 and 15 - SVDFinal Exam in-class review days
Annotated OneNote Lecture Slides Spring 2023
Supplementary Material
Old material
Review material from Fall 2019
Class Notes (from Spring '17 - but still awesome!)
Old Tests (for even more practice)
Important dates
Jan 6 First day of classes
Jan 20 MLK Day (No class)
Jan 29 Exam 1
Feb 24 Progress reports due
Feb 26 Exam 2
Mar 12 Drop Deadline/Withdrawal Deadline
Mar 17-21 Spring Break (No Class)
Apr 2 Exam 3
Apr 21-22 Last day of lecture/studio
Apr 23 Reading period (no exams/quizzes or homework)
Apr 29 FINAL EXAM (Common Exam Slot for 1554) 6pm
Studio Meeting Times
CRN COURSE Section Instructor (s)Days Time (start) Time (end) Building Room
27379
1554
J
Barone, Salvador
MWF
1400
1450
Instructional
103
34245
1554
J01
Wu, Bingrui
TR
1830
1920
Skiles
254
34246
1554
J02
Li, Jiaheng
TR
1830
1920
Skiles
255
24689
1554
J03
Wu, Bingrui
TR
1700
1750
Skiles
254
25087
1554
J04
Li, Jiaheng
TR
1700
1750
Skiles
255
34247
1554
J05
Tuiran Rangel, Jose
TR
1700
1750
Skiles
156
Web links
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