CourseBook :: biol6385.001.18s
Course Title: Computational Biology
Class Info:
Class Section: BIOL6385.001.18S Instruction Mode: Face-to-Face
Class Level: Graduate Activity Type: Lecture
Semester Credit Hours: 3 Class Number: 26072
Grading: Graded - Graduate Session Type: Regular Academic Session
Add Consent: No Consent Orion Date/Time: 2017-12-17 20:56:19
Status: Class Status: OPEN    Available Seats: 12    Enrolled Total: 4    Waitlist: 0
Description: BIOL 6385 - Computational Biology (3 semester credit hours) Machine learning and probabilistic graphical models have become essential tools for analyzing and understanding complex systems biology data in biomedical research. This course introduces fundamental principles and methods behind the most important high throughput data analysis tools. Applications will cover molecular evolutionary models, DNA/protein motif discovery, gene prediction, high-throughput sequencing and microarray data analysis, computational modeling gene expression regulation, and biological pathway and network analysis. Prerequisite: Some background in elementary statistics/probability or introductory bioinformatics, or instructor consent required. (3-0) Y
Michael Zhang (99%)      email:
Pradipta Ray (1%)      email:

Class Location and Times

Term: 18S
Type: Regular Academic Session
Starts: January 8, 2018
Ends: May 7, 2018

January 8, 2018-April 29, 2018
Tuesday, Thursday
CB 1.214

CB Building
Floor 1 - Room 1.214
Cross Listed With:
College: School of Natural Sciences and Mathematics
Syllabus: Syllabus for Computational Biology (BIOL6385.001.18S)
Evaluation: An evaluation report for Computational Biology (BIOL6385.001.18S) hasn't been posted.
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