QAC 220
Spring 2023
| Section:
01
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| Course Cluster and Certificates: Applied Data Science Certificate |
An introduction to the mathematics of matrices and their application in traditional and modern methods of data analysis and scientific computing. The course promotes an interdisciplinary approach, and topics may include:
- Coordinate transformations in data visualization, iterated patterns in mosaics and art
Use of perspective projection in art and its representation as a matrix transformation
- Linear system solvers and their applications in image alignment and geo-referencing of old maps in GIS systems
- Use of least squares approach with linear solvers for alignment and geo-referencing in the presence of errors
- PCA-decomposition of computer images (the "eigenfaces" example) and multispectral images from satellites
- Use of linear solvers to find solutions to tiling problems like Sudoku, and
- Recommender systems
The course will introduce students to operations in Adobe Photoshop (for image transformations and blending), ArcGIS Pro (for coordinate transformations and geo-referencing of maps), Mathematica (for symbolic math), and R, thus serving as an introduction to these tools as well. |
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| Credit: 1 |
Gen Ed Area Dept:
SBS QAC |
| Course Format: Lecture / Discussion | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: MATH121 |
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Fulfills a Major Requirement for: (CADS)(DATA-MN)(PSYC) |
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Past Enrollment Probability: Not Available |
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