[ Jeremy L. Marzuola | Math | UNC

Linear Algebra For Applications

Instructor: Jeremy Louis Marzuola

TA: Akos Matszangos.

Undergraduate TA: Maddie Averill.

Course Information:

Semester: Fall 2013
Section 004: When: M,W,F: 2:00pm-2:50pm
Where: Phillips Hall - 367

My office hours (tentatively depending upon student schedules) are Tu 3:30 PM - 5:00 PM and Fr 9:30-10:30 AM in Phillips Hall 324D.

TA Office Hours are as follows:

Section 004 with Akos Matszangos
When: We 3:00 PM - 4:00 PM
Where: Phillips 405
E-mail: matszang@live.unc.edu

Undergraduate TA - Maddie Averill
When: Wednesdays 5:00 PM - 6:30 PM.
Where: Phillips Hall 381.
E-mail: madsave@email.unc.edu


  • Math 233 or equivalent.

  • Resources:

  • DFIELD and PPLANE Matlab programs from John Polking at Rice University for drawing and analyzing phase plane diagrams in systems of Ordinary Differential Equations.
  • MIT Linear Algebra Course with a large number of online lectures and other interactive resources.
  • Linear Algebra tools in Matlab from Kristian Sandberg at U of Colorado.
  • Linear Algebra tools in Mathematica from Rowan University.
  • Numerical Analysis Modules from the University of Illinois.
  • Matlab Tutorial from George Mason University.
  • Geometry of Linear Transformations from Harvey-Mudd. See also Coordinate Transformations from the University of California, San Diego, The Linear Algebra Toolkit from Old Dominion University, and The Linear Algebra Visualization Assistant from Gordon College.
  • Some Practical Applications of Linear Algebra from the University of Ottawa. See also Other Practical Applications of Linear Algebra from the University of California, Davis.
  • These applications and more are linked from Professor Jingfang Huang's former course page.

  • Required Texts:

  • O. Brettscher. Linear Algebra with Applications (Fifth Edition). Pearson Education Press (2013). Note: This is the most recent edition, if you choose to use an older edition, you are responsible for making sure you have the correct numbering and phrasing of homework problems as well as all relevant content.

  • Links:

  • The course syllabus can be found here in PDF.

  • Grading:

  • Grades will be based on weekly homework assignments (25%), two midterm exams (20%) each, and one comprehensive final exam (35%).
  • Late homework assignments will not be accepted, though the two lowest homework scores from the semester will be dropped in the calculation of final grades. Each homework assignment is a total of 15 points, 5 for completion and 10 from 4 randomly assigned problems the TA will grade in full detail.
  • Though I encourage communication on the homework assignments, each student should write up the assignment on their own. Also, while I encourage interested students to learn Matlab or Mathematica to check their work as we progress through the material, the exercises should be worked out by hand so your understanding of the underlying mechanics of Linear Algebra can be ascertained.

  • Homework Assignments:

    Midterm Exams:

    Holidays and Scheduling:

    Final Exam: