4 courses with the subject MSBI, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MSBI 530Mathematical Modeling for Bioinformatics. . This course provides an in-depth3
exploration of the mathematical models and methods used to analyze and interpret biological data in bioinformatics. Students will learn to apply mathematical concepts such as probability theory, statistical inference, and dynamic systems to model complex biological processes, including gene regulation, metabolic networks, and population dynamics. The course emphasizes the development of quantitative skills necessary for building and analyzing models that can predict and elucidate biological behavior. Through a combination of theoretical instruction and practical exercises, students will gain the ability to construct and validate models that address key questions in genomics, proteomics, and systems biology. This course is essential for those seeking to understand the mathematical underpinnings of bioinformatics and to contribute to the development of innovative computational tools and approaches.
MSBI 555Computational Biomedicine and Drug Discovery. . This course focuses on the3
application of computational methods to the drug discovery process, integrating principles of computational biomedicine with the challenges of identifying and developing new therapeutic agents. Students will explore key topics such as target identification, virtual screening, molecular docking, structure-based drug design, and the use of machine learning in predicting drug efficacy and safety. The course also covers systems pharmacology and the modeling of drug interactions within biological networks. Emphasis is placed on the practical application of computational tools in the pharmaceutical industry, including the use of high-throughput screening data and the optimization of lead compounds. Through a combination of theoretical instruction, hands-on projects, and case studies, students will gain the skills necessary to contribute to the development of new drugs and to advance innovations in personalized medicine.
MSBI 585Special Topics in Bioinformatics and Computational Biology. . This course delves3
into emerging and advanced topics in bioinformatics and computational biology, offering students the opportunity to explore cutting-edge research and technologies in the field. Each offering of the course focuses on different specialized areas, which may include topics such as metagenomics, structural bioinformatics, systems biology, single-cell genomics, or computational approaches to precision medicine. Through a combination of lectures, seminars, and project-based learning, students will engage with current literature, develop critical thinking skills, and apply advanced computational techniques to solve complex biological problems. This course is designed to adapt to the rapidly evolving landscape of bioinformatics, providing students with the tools and knowledge to stay at the forefront of the discipline.
