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Lecture |
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Data Mining/bioinformatic 000 |
Enrollment Information (not real time - data refreshed nightly)
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Class #:
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11295 | |
Enrollment Capacity:
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130 |
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Section:
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000 |
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Enrollment Total:
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58 |
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Credits:
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3.00 credits
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Seats Available:
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72 |
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Dates:
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08/31/2020 - 12/11/2020 |
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Status:
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OPEN WITH RESERVES |
This class has multiple meeting patterns:
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R,
11:10 AM - 12:25 PM,
Remote,
Remote
TBA,
TBA Remote,
Remote
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| Reserve Capacities |
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| Description |
Enrollment Capacity |
Enrollment Total |
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| Eng Sci MS: AI Seats Reserved |
10 |
2 |
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| CSE: Seats Reserved |
120 |
48 |
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| Course Description |
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| This course focuses on data mining and data warehousing techniques and their applications in bioinformatics. The course explains the broad scope of bioinformatics, discusses the theory and practice of computational methods and software, and provides insight that will help students gain a comprehensive understanding of the bioinformatics field. Major topics include biological data storage, retrieval, and modeling; data mining literature for biology; distributed and parallel biological databases; visualization tools for biological data analysis; statistical methods for gene expression analysis; molecular sequence analysis; protein-protein interaction analysis; identification and classification of genes and regulatory elements; and biological information integration, interoperability, and bio-ontology. |
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| Instructor(s) |
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Gao |
look up |
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| On-line Resources |
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| Other Courses Taught By: Gao |
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