Basic Information
In Recent Years There Is Significant Increase in The Amount Of Biological Data Available in Digital Formats. Thus, Often, The Bottleneck in Many Projects Is The Ability to Analyze The Data Rather Than Data Acquisition. in This Course The Students Will Learn Basic Skills to Allow Analysis of Large Datasets. in Addition, Students Will Learn to Use Available Databases and How to Import Data From Them. The Course Will Emphasize The Hands-on Approach and Students Will Require to Practice The Methods in Class and Homework. The The Course Will Cover# Basic Statistics, Data Import, Data Visualization, Linear Regression, Dimensional Reduction, Clustering Analysis, Classifiers, Multiple Testing Correction. Learning Outcomes# At The End of The Course The Students Will Learn The Background of The Maim Computational Methods and Tools That Are Used to Analyze Large Biological Datasets. He Will Become Familiar With The Large Databases That Are Available On The Network, and Will Experience Analyzing Biological Data With These Tools
Faculty: Biotechnology and Food Engineering
|Undergraduate Studies
|Graduate Studies
Pre-required courses
64120 - Numerical Methods in Biotech and Food En
Course with no extra credit (contains)
66532 - Intr. to Analysis of Big Data in Biology