|Home|||||Fall 2014 PSets and Exams|||||Videos|||||Extras|||||Archived Psets/Exams|||||Gradebook|||||Piazza (Questions)|
|Professor:||Alexander Postnikov (office E17-428, email apost at math.mit.edu)|
|Lectures:||MWF 11 am, in 54-100.|
|Course coordinator:||Michael Andrews (office E17-301B, email mjandr at math.mit.edu)|
|Textbook:||Gilbert Strang's, Introduction to Linear Algebra, 4th edition.|
Course Information and Syllabus
|Time||Room||Instructor||Office||Office hour (in office unless noted)|
|Lec.||MWF 11||54-100||A. Postnikov||E17-428||apost at math.mit.edu||???|
|R01||T 9||E17-136||Darij Grinberg||E17-401S||darij at mit.edu||???|
|R02||T 10||E17-136||Darij Grinberg||E17-401S||darij at math.mit.edu||???|
|R03||T 10||24-307||Carlos Sauer Ayala||E18-401P||csauer at mit.edu||???|
|R04||T 11||24-307||Carlos Sauer Ayala||E18-401P||csauer at math.mit.edu||???|
|R05||T 12||E17-136||Tanya Khovanova||E18-420||tanya at math.mit.edu||???|
|R06||T 1||E17-139||Michael Andrews||E17-301B||mjandr at math.mit.edu||???|
|R07||T 2||E17-139||Tanya Khovanova||E18-420||tanya at math.mit.edu||???|
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.
Concerns about homework, grading, exams: see your recitation instructor.
Checking grade records: online at Gradebook.
Changing recitation: online at Membership module.
|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)|
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