This course is a first-year graduate course in algorithms. Emphasis is placed …
This course is a first-year graduate course in algorithms. Emphasis is placed on fundamental algorithms and advanced methods of algorithmic design, analysis, and implementation. Techniques to be covered include amortization, randomization, fingerprinting, word-level parallelism, bit scaling, dynamic programming, network flow, linear programming, fixed-parameter algorithms, and approximation algorithms. Domains include string algorithms, network optimization, parallel algorithms, computational geometry, online algorithms, external memory, cache, and streaming algorithms, and data structures.
Students perform DNA forensics using food coloring to enhance their understanding of …
Students perform DNA forensics using food coloring to enhance their understanding of DNA fingerprinting, restriction enzymes, genotyping and DNA gel electrophoresis. They place small drops of different food coloring ("water-based paint") on strips of filter paper and then place one paper strip end in water. As water travels along the paper strips, students observe the pigments that compose the paint decompose into their color components. This is an example of the chromatography concept applied to DNA forensics, with the pigments in the paint that define the color being analogous to DNA fragments of different lengths.
This lesson on fingerprinting takes a unique approach to a standard topic …
This lesson on fingerprinting takes a unique approach to a standard topic in Forensic Science. While students will learn the basics of fingerprinting, how to lift a print and learn unique characteristics of fingerprints, they will become aware of the flaws of fingerprinting. By investigating the case of the Madrid Spain Bombing students will discover a match is not always accurate.
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