18.06 Linear Algebra, Spring 2015




18.06 Spring 2015
Professor: Gilbert Strang (office E17-420, email gs at math.mit.edu)
Lectures: MWF 11 am, in 10-250.
Course administrator: Carlos Sauer (office E18-401P, email csauer at math.mit.edu)
Textbook: Gilbert Strang's, Introduction to Linear Algebra, 4th edition.

Course Information and Syllabus (soon!)



Recitations

Recitations meet on Tuesdays starting from Feb 10. No recitations on Feb 17 (MIT Monday, Lecture ON), Mar 24 (Spring Break) and Apr 21 (Patriot's Day vacation). You must enroll in a specific section. Your homework and exams will go to that section. Default recitation sections are assigned by the Registrar. You may change your recitation on Membership module and view your grades on Gradebook.

TimeRoomInstructorOfficeE-mailOffice hour (in office unless noted)
Lec. MWF 11 10-250 Gilbert Strang E17-420 gs at math.mit.edu TBA
R01 T10 26-302 Dmitry Vaintrob E18-401C mitkav at math.mit.edu TBA
R02 T10 26-322 Francesco Lin E17-401A linf at math.mit.edu TBA
R03 T11 26-302 Dmitry Vaintrob E18-401C mitkav at math.mit.edu TBA
R04 T11 26-322 Francesco Lin E17-401A linf at math.mit.edu TBA
R05 T11 26-328 Laszlo Lovasz E17-401K lmlovasz at math.mit.edu TBA
R06 T12 36-144 Michael Andrews E17-301B mjandr at math.mit.edu TBA
R07 T12 26-302 Netanel Blaier E17-301V netanel at math.mit.edu TBA
R08 T12 26-328 Laszlo Lovasz E17-401K lmlovasz at math.mit.edu TBA
R09 T 1pm 26-302 Sungyoon Kim E18-401U ksshiny at math.mit.edu TBA
R10 T 1pm 36-144 Tanya Khovanova E18-420 tanya at math.mit.edu TBA
R11 T 1pm 26-322 Jay Shah E18-401N jshah at math.mit.edu TBA
R12 T 2pm 36-144 Tanya Khovanova E18-420 tanya at math.mit.edu TBA
R13 T 2pm 26-322 Jay Shah E18-401N jshah at math.mit.edu TBA
R14 T 3pm 26-322 Carlos Sauer E18-401P csauer at math.mit.edu TBA


Homework and Collaboration

Homework will be posted weekly in the Problem Sets section of the class website. Assignments will be due on Thursday, BEFORE 4PM. Please put them in the box for your section in E17-131. Please staple them (you may use the math stapler). They are due every week except exam weeks and are returned in recitation.

Late homework will not be accepted and no extensions are granted. However, your lowest homework grade will be dropped.

The homeworks are essential in learning linear algebra. They are not a test and you are encouraged to talk to other students about difficult problems---after you have found them difficult. Talking about linear algebra is healthy. But you must write your own solutions.


Exams

Many students find the second exam more challenging than the first exam. It is not surprising to see a much lower mean on the second exam as this part of the course trains students to go past the mechanical and computational, emphasizing the conceptual and the ability to tackle new problems.

The use of calculators or notes is not permitted during the exams. Taking another course at the same time is not an excuse for missing the in-class hour exam. There will be no make-up exams in this course.


Concerns about homework, grading, exams: see your recitation instructor.

Checking grade records: online at Gradebook.

Changing recitation: online at Membership module.


Related Resources

  • Open Courseware
  • Math learning center: a place to get extra help on problem sets, find a study group and get answers to your questions. Available in 4-159, Mondays to Thursdays 3-5pm and 7:30-9:30pm.

    Julia

    Julia is a new programming language that is freely available and has a very active and vibrant development community. We encourage trying out Julia but you may use any computer language that you are comfortable with. For example, Matlab, Python, Maple, Mathematica, or Sage are available through MIT IS&T. While you still have the option of downloading Julia on your own machine, you also have the option to use it online. For more information click here.

    Julia
    Download and Install | Online
    Julia cheat sheet
    Our first ever (Jan 2013) Julia Tutorial Videos and Slides at MIT
    iJulia pages from lectures:
    Live (requires iJulia) Static (publicly readable)
    Lecture 3: Matmul and Inverses (download and drag into IJulia) (view in browser)
    Lecture 4: Gauss Jordan and LU (download and drag into IJulia) (view in browser)
    Lecture 6: Symmetric Matrices and Vector Spaces (download and drag into IJulia) (view in browser)


    Some helpful overviews of Linear Algebra:

  • Goals of the Linear Algebra Course (html)
  • Starting with Two Matrices (pdf)
  • A Factorization Review (ps, pdf)
  • Glossary for Linear Algebra (ps, pdf)
  • Linear Algebra in a Nutshell (ps, pdf)

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