Schedule

In this schedule page, you will find the list of assignments you will have to complete this semester:


  1. L#: These are the PrairieLearn Lecture Assignments including the pre-recorded lectures and short questions testing concepts introduced in the videos. These PL assessments will also include links to lecture notes, slides and annotations from the lectures. You are encouraged to complete these assessments on the date they appear on the course schedule. However, you can complete both of them for 100% credit by the following Tuesday at 9am. You can find all the due dates directly in PrairieLearn. There will be a total of 24 graded lecture assignments, and the lowest 4 scores will be dropped. Combined they will count towards 4% of your final grade.

  2. GA#: These are the PrairieLearn Group Activities to be completed on Tuesdays either during the 12:30pm lecture or 8pm, so make sure to complete the open PrairieLearn Lecture Assignments before you meet with your group. You can find a lot more information about the group activities on the Collaborate page.

  3. HW#: These are the PrairieLearn Homework Assigments due on Tuesdays and Thursdays at 8pm. These are individual assessments. The schedule indicates when the HW will be open, and the due date for 100% credit. You can still submit all the HWs by the last day of classes for 96% credit. Almost every PrairieLearn Lecture Assignment has a corresponding HW. You are strongly encouraged to complete the PrairieLearn Lecture Assignment before you start your HW. There will be a total of 20 HW assignments, and the lowest 2 scores will be dropped. Combined they will count towards 25% of your grade.

  4. MP#: These are the PrairieLearn Machine Problems The schedule indicates when the MPs will be open, and the due date for 100% credit (all at 8pm). You can still submit all the MPs by the last day of classes for 96% credit. These are individual assessments. There will be a total of 6 MP assignments, and no drops. Combined they will count towards 10% of your grade.

  5. Q#: These are the Synchronous PrairieLearn Quizzes that happen on Thursdays during the official lecture time. The quizzes will be delivered via PrairieLearn using remote proctoring via Zoom. You can find more instructions in the Quizzes page. The schedule below indicates the content covered in each quiz (corresponding HW assignments) and also the dates when the Practice Quizzes (Q#P) will be open. Practice Quizzes will not count towards your grade (zero credit) and will become unavailable at 11am on the actual quiz date. There will be a total of 6 quizzes and the lowest score will be dropped. Combined they will count towards 35% of your grade.
Semester Progress
100%
Aug Dec
Week 1
Tue, Aug 24, lecture 1
Syllabus and course content

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Thu, Aug 26, lecture 2

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Week 2
Week 3
Tue, Sep 07, lecture 5

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Thu, Sep 09, lecture 6
Q1: Linear Algebra + Python + Errors (HW0-HW2)

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Week 4
Week 5
Tue, Sep 21, lecture 9

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Thu, Sep 23, lecture 10
Q2: Floating Point + Rounding + Taylor Series (HW3-HW6)

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Week 6
Thu, Sep 30, lecture 12

In-person class at CIF 35 (video will be posted later for async access)



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Week 7
Tue, Oct 05, lecture 13

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Thu, Oct 07, lecture 14
Q3: Monte Carlo, Matrices and Norms, Linsys (HW7-HW9)

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Week 8
Thu, Oct 14, lecture 16

In-person class at CIF 35 (video will be posted later for async access)



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Week 9
Tue, Oct 19, lecture 17

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Thu, Oct 21, lecture 18
Q4: Sparse, Conditioning, Eigs, Markov (HW10-HW12)

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Week 10
Tue, Oct 26, lecture 19

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Thu, Oct 28, lecture 20

In-person class at CIF 35 (video will be posted later for async access)



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Week 11
Tue, Nov 02, lecture 21

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Q5P: FD, Nonlinear, Optimization

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Thu, Nov 04, lecture 22

In-person class at CIF 35 (video will be posted later for async access)



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Week 12
Tue, Nov 09, lecture 23

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Thu, Nov 11, lecture 24
Q5: FD, Nonlinear, Optimization (HW13-HW15)

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Week 13
Tue, Nov 16, lecture 25

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Thu, Nov 18, lecture 26

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Q6P: Least-squares and SVD

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Week 14
Tue, Nov 23

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Thu, Nov 25

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Week 15
Tue, Nov 30, lecture 27

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Thu, Dec 02, lecture 28
Q6: Least-squares and SVD (HW16-HW19)

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Week 16
Tue, Dec 07, lecture 29

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Thu, Dec 09

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