Jay Pantone

Assistant Professor
Marquette University


Math 22

Spring 2016, Dartmouth College

This course presents the fundamental concepts and applications of linear algebra with emphasis on Euclidean space. Significant goals of the course are that the student develop the ability to perform meaningful computations and to write accurate proofs. Topics include bases, subspaces, dimension, determinants, characteristic polynomials, eigenvalues, eigenvectors, and especially matrix representations of linear transformations and change of basis. Applications may be drawn from areas such as optimization, statistics, biology, physics, and signal processing.

  • Lectures:
    M, W, F: 1:45pm - 2:50pm
    Kemeny 007
  • Tutorial:
    Su, Tu, Th: 7:00pm - 9:00pm
    Kemeny 008
  • Office Hours:
    Monday, 4:00pm - 5:00pm
    Tuesday, 2:00pm - 3:00pm
    Friday, 9:00am - 10:00am
  • TA:
    Michael Musty

Syllabus Information

This course was run through Canvas. Select information is reproduced below.

Homework Assignments
Assignment 1

Assignment 2

Assignment 3

Assignment 4

Assignment 5

Assignment 6

Assignment 7

Assignment 8

Assignment 9

Exam Dates

Exam 1: Wednesday, April 20

Exam 2: Wednesday, May 11

Final Exam: Thursday, June 2


Linear Algebra and its Applications, 4th Edition
David C. Lay

Grading Scheme
Homework 15%
Exam 1 25%
Exam 2 25%
Final Exam 35%