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 11am. 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 lecture time or at another selected time. 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 5 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 or in-class proctoring. 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.

The only required synchronous components of this class are the GAs and Quizzes. Attendance in the first week of classes is strongly encouraged, since we will be talking about all the logistics of the course, and having a demo for the group work.

For the weeks without quizzes, we will have a "demo" lecture, following an interactive format where we work together on Jupyter notebooks. Attendance is not required. The 2pm lecture (online) will be recorded, and later posted inside a PrairieLearn assignment. These jupyter notebooks are available in PrairieLearn under the label WS#: Workspace.

Semester Progress
99%
Jan May
Week 1
Tue, Jan 18, lecture 1
Syllabus and course content

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Thu, Jan 20, lecture 2
Intro to Python + mock group work

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Week 2
Week 3
Tue, Feb 01, lecture 5

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Thu, Feb 03, lecture 6
Q1: Linear Algebra + Python + Errors (HW1-HW3)

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Week 4
Tue, Feb 08, lecture 7

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Thu, Feb 10, lecture 8

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Week 5
Tue, Feb 15, lecture 9

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Thu, Feb 17, lecture 10
Q2: Floating Point + Rounding + Taylor Series (HW4-HW6)

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Week 6
Thu, Feb 24, lecture 12

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Week 7
Tue, Mar 01, lecture 13

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Thu, Mar 03, lecture 14
Q3: Monte Carlo, Matrices and Norms, Linsys (HW7-HW9)

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Week 8
Tue, Mar 08, lecture 15

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Thu, Mar 10, lecture 16

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Week 9
Tue, Mar 15

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Thu, Mar 17

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Week 10
Tue, Mar 22, lecture 17

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Thu, Mar 24, lecture 18
Q4: Sparse, Conditioning, Eigs, Markov (HW10-HW13)

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Week 11
Tue, Mar 29, lecture 19

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Thu, Mar 31, lecture 20
Demo:

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Week 12
Tue, Apr 05, lecture 21

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Q5P: FD, Nonlinear, Optimization

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Thu, Apr 07, lecture 22
Demo:

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Week 13
Tue, Apr 12, lecture 23

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Thu, Apr 14, lecture 24
Q5: FD, Nonlinear, Optimization (HW14-HW16)

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Week 14
Tue, Apr 19, lecture 25

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Thu, Apr 21, lecture 26

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Q6P: Least-squares and SVD

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Week 15
Tue, Apr 26, lecture 27

Zoom link Section M (2pm) / CIF 35 Section N (12:30pm)



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Thu, Apr 28, lecture 28
Q6: Least-squares and SVD (HW17-HW18)

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Week 16
Tue, May 03, lecture 29

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Thu, May 05

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