About the Lead Author

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Dr. Dirk Colbry is faculty member in the Department of Computational Mathematics, Science and Engineering (CMSE) at Michigan State University (MSU). Dr. Colbry has decades of experience in curriculum development and teaching across a wide range of subjects, including: numerical linear algebra, parallel programming, microprocessors, artificial intelligence, scientific image analysis, compilers, GPU programming, next generation architectures, tools for computational modeling, algorithm analysis, and professional skills for scientists and engineers.

In addition to teaching and curriculum development, Dr. Colbry is an expert in computer vision and scientific image understanding, and has collaborated on research in fields as diverse as Engineering, Toxicology, Plant and Soil Sciences, Zoology, Mathematics, Statistics, and Biology. Recent projects include research in Image Phenomics; developing a commercially-viable large scale, cloud based image pathology tool; and helping develop methods for measuring the carbon stored inside of soil. In addition to his primary research focus in Scientific Image Understanding and Machine Learning, Dr. Colbry also researches computational education and high-performance computing (HPC). Prior to joining CMSE, Dr. Colbry worked for the MSU Institute for Cyber-Enabled Research (iCER) as a computational consultant and Director of the High Performance Computing Center (HPCC).

These Open Educational Resources (OER) were developed as part of a restructuring of the Michigan State University Matrix Algebra Course (MTH314) in Fall Semester of 2017. All of the OER materials are provided as Jupyter notebooks, which are open source tools that integrate multiple resources (websites, word processors, LaTeX, math, and programming) into a digital “notebook.”

Instructors interested in using these materials are encouraged to reach out to Dr. Dirk Colbry (colbrydi@msu.edu) in advance to gain access to additional materials and examples designed to support teaching and student evaluation.