|Home|||||F13 PSets and Exams|||||Matlab|||||Videos|||||Extras|||||Archived Psets/Exams|||||questions (piazza)|||||grades (Stellar)|
|Professor:||Alan Edelman (office E17-418, email edelman at math.mit.edu)|
|Lectures:||MWF 11 am, in 26-100.|
|Course coordinator:||Saul Glasman (office E18-301H, email sglasman at math.mit.edu)|
|Textbook:||Gilbert Strang's, Introduction to Linear Algebra, 4th edition.|
Syllabus and Course Information
Time Room Instructor Office OH Phone Email @math.mit.edu Lec. MWF 11 26-100 Alan Edelman E17-418 [*] 3-7770 edelman [*] After class MF right in 26-100 (or Arrange office hours at lecture.) Rec. # r01 T 9 4-149 Dan Harris E17-401G W1-3 3-7775 dmh r02 T 10 4-149 Dan Harris E17-401G W1-3 3-7775 dmh r03 T 10 12-122 Tanya Khovanova E18-420 T1-3 4-1459 tanya r04 T 11 12-122 Tanya Khovanova E18-420 T1-3 4-1459 tanya r05 T 12 12-122 Saul Glasman E18-301H M1-3 3-4091 sglasman r06 T 1 26-322 Alex Dubbs 32-G580 M4-5 3-6770 dubbs r07 T 2 26-322 Alex Dubbs 32-G580 Th3:30-4:30 3-1589 dubbs
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 extension 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.
|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)|
Julia is a new programming language that is freely available with a very active vibrant development community. It has quickly developed a reputation as being easy to learn, easy to use, while having great performance and consistent programming constructs. The IJulia notebook (built on the IPython platform) is a very pleasant way to interact with Julia. As a historic first we are eliminating installs, and passwords by serving Julia on the cloud. 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. Students are encouraged to use Julia for the computational problems, though any language is allowed. Recognizing that Julia is still rough around the edges, we will provide a small extra incentive: students who use Julia will have their two worst problem sets dropped in favor of a perfect score for those sets.
Concerns about homework, grading, exams: see your recitation instructor.
Checking grade records, changing recitations: online on Stellar Course Management System.
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