Course Highlights
This course features a complete set of downloadable lab assignments in the labs section. In addition, an extensive bibliography of assigned and recommended readings is provided in the readings section.
Course Description
This interdisciplinary course provides a hands-on approach to students in the topics of bioinformatics and proteomics. Lectures and labs cover sequence analysis, microarray expression analysis, Bayesian methods, control theory, scale-free networks, and biotechnology applications. Designed for those with a computational and/or engineering background, it will include current real-world examples, actual implementations, and engineering design issues. Where applicable, engineering issues from signal processing, network theory, machine learning, robotics and other domains will be expounded upon.
Technical Requirements
MATLAB® software is required to run the .m files found on this course site. Microsoft® Excel software is recommended for viewing the .xls files found on this course site. Free Microsoft® Excel viewer software can also be used to view the .xls files. Any number of software tools can be used to import the .dat files found on this course site. Please refer to the course materials for any specific instructions or recommendations. File decompression software, such as Winzip® or StuffIt®, is required to open the .zip files found on this course site.
