MATH1550  Methods of Matrices and Linear Algebra  2017/18
Course Name:
Teacher:
Course Year:
2017/18
Term:
1
Announcement
 Class info [Download file]
 CW5 (hand in on next Monday during lecture) [Download file]
 A short midterm 1 review (last updated: Oct 4) [Download file]
 A sample midterm (last updated: Oct 4) [Download file]
 Midterm 1 solution [Download file]
 A short midterm 2 review (last updated Oct 31) [Download file]
 A sample midterm 2 (last updated Oct 31) [Download file]
 CW10 (Due Nov 20 Monday) [Download file]
 CW11 (Due Nov 23 Thursday) [Download file]
 Midterm 2 solution [Download file]
 New FInal info and review (last updated: Dec 1) [Download file]
 New Sample final (questions only) (last updated: Dec 4) [Download file]
 New Sample final (questions and solutions) (last updated: Dec 4) [Download file]
General Information
Lecturer

Li Chun Che
 Office: LSB218
 Email:
Teaching Assistant

Lai Yu Hin
 Office: LSB228
 Email:

Li Yan Lung
 Office: AB1 505
 Email:
Time and Venue
 Lecture: Mo 2:30PM  4:15PM SC L5, Th 4:30PM  5:15PM LSB LT2
 Tutorial: Th 5:30PM  6:15PM LSB LT2
Course Description
The course emphasizes the computational aspect of linear algebra and applications to Statistics.
 Geometric interpretation of linear equations, vector spaces.
 Solving system of linear equations, reduced row echelon forms
 linear dependence, linear combination, spanning set, basis
 matrix arithmetics, inverse
 subspace, kernel space, row space, range, rank
 determinant
 eigenvalue, eigenvector, diagonalizability
 inner product, orthogonality, GramSchmidt orthogonalization process.
 symmetric matrix
 Lagrange interpolation formula
 Least squares method
Lecture Notes
 Lecture 1: Technique of solving system of linear equations (last updated Sep 6)
 Lecture 2: geometric interpretation (last updated Sep 4)
 Lecture 3: System of linear equations (last updated Sep 5)
 Lecture 4: Matrices (last updated Sep 5)
 Lecture 5: More about matrices (last updated Sep 5)
 Lecture 6: RREF (last updated Sep 12)
 Lecture 7: Type of solution sets (last updated Sep 12)
 Lecture 8: Homogeneous Systems of Equations and non singular matrices (last updated Sep 20)
 Lecture 9: Vector space (last updated: Oct 9)
 Lecture 10: linear combination(last updated: Oct 9)
 Lecture 11: Span (last updated: Oct 17)
 Lecture 12: linear independence (last updated: Oct 17)
 Lecture 13: linear dependence and span (last updated: Oct 24)
 Lecture 14: Column space and row space
 Lecture 15: Basis
 Lecture 16: Inverse (Last updated: Nov 5)
 Lecture 17: determinant (Last updated: Nov 5)
 Lecture 18: Eigenvalues, eigenvectors, diagonlizability (Last updated: Nov 17)
 Lecture 19: Inner product (Last updated: Nov 23) The old file contains incorrect information regrading final.
Assignments
 CW1 with solution (reference only, last updated: Sep 20)
 CW2 with solution (reference only, last updated: Sep 24)
 CW3 with solution (reference only, last updated: Sep 25)
 CW4 with solution (reference only, last updated: Oct 4)
 CW5 with solution( reference only, last updated: Oct 19)
 CW6 with solution( reference only, last updated: Oct 21)
 CW7 with solution( reference only, last updated: Oct 31)
 CW8 with solution( reference only, last updated: Nov 2)
 CW9 with solution( reference only, last updated: Nov 7)
 CW10 with solution( reference only, last updated: Nov 29)
 CW11 with solution( reference only, last updated: Nov 29)
 CW12 with solution( reference only, last updated: Nov 29)
 CW13 with solution (reference only) (last upddated: Nov 30)
 CW14 with solution (reference only) (last upddated: Dec 7)
Quizzes and Exams
 See announcement section
Assessment Scheme
Tutorial Classwork, max 10pts. Classworks will be given during tutorial. Each classwork counts 1pt. There are about 1213 tutorals and you need to attend at least 10 of the tutorials  10%  
Midterm 1 Oct 12 Thu, 4:306:15 LSB LT2 (During usual lecture and tutorial)  17.5%  
Midterm 2 Nov 9 Thu, 4:306:15 LSB LT2 (During usual lecture and tutorial)  17.5%  
Final  55% 
Assessment Policy Last updated: December 07, 2017 19:58:59