people:kargin:math530_fall2020
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| + | ==== Math 530: Linear Algebra for Statisticians ==== | ||
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| + | === Basic Info === | ||
| + | * Meeting times/Place: MWF 10:50am -11:50am at LN2403 | ||
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| + | * Office hours: MWF 9:45 - 10:30 AM, Monday 1 - 2 PM (in person, office WH136, or by Zoom), or by appointment | ||
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| + | * Prerequisites: Math 304 (Linear Algebra), 329, 330 or equivalent. | ||
| + | |||
| + | === Texts === | ||
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| + | - We will use Strang "Linear Algebra with Applications", and “Numerical Linear Algebra” by Lloyd Trefethen and David Bau. | ||
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| + | The electronic versions of these books are available at the Piazza course webpage. | ||
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| + | |||
| + | === Learning outcomes === | ||
| + | We will cover several types of matrices, various matrix decompositions including SVD, QR and Cholesky, their application to linear regression, and Multivariate Gaussian distribution. | ||
| + | |||
| + | === Computing === | ||
| + | I will ask students to subscribe to Datacamp.com for 1 or 2 months (do not pay annual subscription!) and take 3 Datacamp courses in “Python”. Specifically, “Introduction to Python”, “Intermediate Python”, “Python Data Science Toolbox 1”. Every datacamp course will be expected to be finished in 1 or 2 weeks and at the end of each one, the student will send me a proof that he or she has passed the course. There will be additional Python based exercises. | ||
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| + | === Communication === | ||
| + | I will mostly use Piazza Forum (https://piazza.com). In particular, I will post all announcements and lecture notes on this website. So make sure that you are enrolled at Piazza. You can either sign up at "https://piazza.com/binghamton/fall2022/math488math530" or send me an email. Since this is a forum, questions and answers by students are encouraged. | ||
| + | I will use MyCourses/Brightspace only minimally if at all. | ||
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| + | === Homework Policy === | ||
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| + | The homework on linear algebra will be assigned using Gradescope. | ||
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| + | There will be a deduction of 25% of the grade for homework assignments that are not typeset using LaTeX. (For users with no experience with LaTex, I suggest trying "https://www.overleaf.com/".) | ||
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| + | There will be a deduction of 15% of the grade for each day homeworks are late (the final grade for a late homework that is N days late will be 0.85^N times the real grade). Homeworks may be discussed with classmates but must be written and submitted individually. | ||
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| + | There will also be some Python homework which will have to be submitted both on Gradescope (pdf file) | ||
| + | and through a Google form (source file). | ||
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| + | | ||
| + | === Exams === | ||
| + | The will be two midterms and one final exam. | ||
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| + | === Grading === | ||
| + | |||
| + | The grading scale will be different for undergraduate and graduate students. | ||
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| + | * Linear Algebra Homework 25% | ||
| + | * Python Courses + Python Homework 25% | ||
| + | * Midterms 20% (10% each) | ||
| + | * Final Exam 30% | ||
| + | |||
| + | === Tentative Schedule === | ||
| + | | Midterm Exam I | September 30 | | ||
| + | | Midterm Exam II | October 28 | | ||
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