18.06 Linear Algebra, Spring 2014




18.06 Spring 2014
Professor: Gilbert Strang (office E17-420, email gs at math.mit.edu)
Lectures: MWF 11 am, in 10-250.
Course coordinator: Xuwen Zhu (office E18-301W, email xuwenz at math.mit.edu)
Textbook: Gilbert Strang's, Introduction to Linear Algebra, 4th edition.

Syllabus and Course Information


Recitations

Recitations meet on Tuesdays starting from Feb 11. No recitation on Feb 4. 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 and view your grades on the Stellar Course Management System.


TimeRoomInstructorOfficeE-mailOffice hour (in office unless noted)
Lec. MWF 11 10-250 G. Strang E17-420 gs at math.mit.edu M 1-2 & W 2-3
R01 T 10 36-144 Qiang Guang E17-301X qguang at mit.edu W 7-8pm E18-466B
R02 T 10 35-310 Adrian Vladu E18-301L avladu at math.mit.edu T 1-2 32-G604
R03 T 11 36-144 Qiang Guang E17-301X qguang at mit.edu W 7-8pm E18-466B
R04 T 11 4-149 G. Tabuada E17-424 tabuada at math.mit.edu T 11-12
R05 T 11 E17-136 Oren Mangoubi E17-401N oren18 at math.mit.edu T 11-12 outside recitation classroom
R06 T 12 36-144 Benjamin Iriarte Giraldo 32-D516 biriarte at math.mit.edu M 1-2
R07 T 12 4-149 G. Tabuada E17-424 tabuada at math.mit.edu T 11-12
R08 T 12 36-112 Adrian Vladu E18-301L avladu at math.mit.edu T 1-2 32-G604
R09 T 1 36-144 Jui-En (Ryan) Chang E18-301U jchang61 at mit.edu T 7-8pm E18-466B
R10 T 1 36-153 Benjamin Iriarte Giraldo 32-D516 biriarte at math.mit.edu M 1-2
R11 T 1 36-155 Tanya Khovanova E18-420 tanya at math.mit.edu T 3-4
R12 T 2 36-144 Jui-En (Ryan) Chang E18-301U jchang61 at mit.edu T 7-8pm E18-466B
R13 T 2 36-155 Tanya Khovanova E18-420 tanya at math.mit.edu T 3-4
R14 T 3 36-144 Xuwen Zhu E18-301W xuwenz at math.mit.edu M 7-8pm E18-466B
ESG T 3 TBA Gabrielle Stoy gstoy at mit.edu TBA

Note about evening office hours: the students do have access into the building with their ID cards. But doors to 3rd and 4th floors of E18 are locked after 6pm. Please contact the recitation instructor if you plan to come to office hours, so that they can let you in.

Homework and Collaboration

Homework will be posted weekly in the Problem Sets section of the class website. Assignments will be due on Thursdays, 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 and are returned in recitation.

Late homework will not be accepted and no extensions are granted.

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. If there is a legitimate and documented reason for missing an exam, your exam grades will be redistributed. In this case, please email galina at math.mit.edu and your TA. Normally a note will be required.


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

Checking grade records, changing recitations: online on Stellar Course Management System.


MATLAB

MATLAB questions will be posted at MITx.

It is best to use Safari, Firefox, or Chrome. After you login with your certificates, click on "find courses" in the upper left. Choose 18.06r and get started.

There is currently a brief introduction to MATLAB available on the website. This is not for credit, it is simply to introduce the notation for students that are not familiar with MATLAB.


Related Resources

  • Open Courseware
  • TUTORING: Tutoring help is available in 4-159, Mondays to Thursdays 3-5pm and 7:30-9:30pm.

    NOTICE OF VIDEO RECORDING

    The lectures in this course are being video recorded. The video may be reproduced and distributed for use by others, including MIT's OpenCourseWare (OCW), MITx, and edX. By choosing to participate, you are authorizing MIT to use the video and/or sound recording of your image and voice for purposes related to education and research. If you choose not to participate, you may sit in the area not covered by cameras and microphones.

    Julia

    Julia is a new programming language that is freely available with a very active vibrant development community. While you still have the option of downloading Julia on your own machine, you have the option (with your MIT certificate) to use Julia in the cloud.

    Julia
    Download and Install | Cloud Served (MIT certificate)


    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)

  • You are visitor number ??? since October 1, 1996. Welcome!

    MIT Home Page   Copyright 2014 Massachusetts Institute of Technology