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Curriculum Materials

Course Outlines
Textbook and Lab Manuals
Materials 2023-2024

Here is a general outline of the topics covered by each year-long course. The outlines for Volumes 1 and 2 are followed fairly closely, since the textbooks for those courses are complete. The outlines for Volumes 3 and 4 may vary from year to year as we refine the courses and update material to reflect the latest developments in the field.

The textbooks for ACME are being published by the Society for Industrial and Applied Mathematics (SIAM). http://bookstore.siam.org/ot152/

The lab manuals and other materials are freely available athttps://foundations-of-applied-mathematics.github.io

Getting Started - Windows
Getting Started - Mac

* = Python Essentials

** = Data Science Essentials

Junior Labs


For BYU students, customized Volume 1 data files can be found here and Volume 2 data files can be found here.

For Prospective Adopters, Volume 1 and 2 data files can be found here.

***Labs are due at 9:00 am 1 week after they are assigned unless the next week is a slack week, then it is 2 weeks after. For example, UNIX Shell 1 is due on September 6th, but Linear Transformations is due October 11th.

Fall Semester

Week Date (of First Day) Volume 1 Lab (Tuesday) Volume 2 Lab (Thursday)
1 09/04/2023 **UNIX Shell 1 *Intro to Python
2 09/11/2022 *Standard Library *NumPy
3 09/18/2022 *OOP *MatPlotLib
4 09/25/2022 *Exceptions/IO *Unit Testing
5 10/02/2022 Linear Transformations Linked Lists
6 10/09/2022 SLACK DAY BSTs
7 10/16/2022 Linear Systems SLACK DAY
8 10/23/2022 The QR Decomposition Nearest Neighbors
9 10/30/2022 Least Squares and Computing Eigenvalues BreadthFirstSearch
10 11/06/2022 Image Segmentation Markov Chains
11 11/13/2022 The SVD and Image Compression **UNIX Shell 2
12 11/20/2022 THANKSGIVING THANKSGIVING
13 11/27/2022 Facial Recognition using Eigenfaces Sampling
14 12/04/2022 *Data Visualization DFT
15 12/11/2022 NONE NONE

Winter Semester


Senior Materials

For BYU Students, customized Volume 3 data files can be found here and Volume 4 data files can be found here.

Fall Semester

Week Date (of First Day) Volume 3 (Tuesday) Volume 4 (Thursday
1 09/04/2023 Pandas 1: Intro Animation
2 09/11/2023 Pandas 2: Plotting Intro to IVP and BVP Solvers
3 09/18/2023 Pandas 3: Grouping and Pivot Tables SIR
4 09/25/2023 Info + Wordle IVP
5 10/02/2023 Pandas 4: Geopandas SLACK DAY
6 10/09/2023 Kmeans Predator-Prey
7 10/16/2023 SKLearn and LSI Lorenz
8 10/23/2023 RF and Decision Trees Bifurcation
9 10/30/2023 Data Cleaning and FE Finite Difference
10 11/06/2023 Parallel Wave Eqn
11 11/13/2023 SLACK DAY Heat Eqn
12 11/20/2023 THANKSGIVING THANKSGIVING
13 11/27/2023 OLS Anisotropic
14 12/04/2023 Logistic Regression Finite Element
15 12/11/2023 SLACK DAY SLACK DAY

Winter Semester