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FYI. Some of you may be interested in this new math course.

-----Original Message-----
From: Galyon, Norma June <[log in to unmask]> 
Sent: Friday, March 1, 2019 10:00 AM
To: Li, Yingkui <[log in to unmask]>
Subject: FW: Math499: overview of data science (new course in Fall 2019)



-----Original Message-----
From: Vitaly V. Ganusov <[log in to unmask]> 
Sent: Friday, March 1, 2019 9:43 AM
To: Galyon, Norma June <[log in to unmask]>
Subject: Math499: overview of data science (new course in Fall 2019)

Norma, could you please distribute this among Geography students? The course may be of interest to them. Thanks! Vitaly

New course in Fall 2019:
Overview of data science (MATH 499, TR 9:40-10:55am)

We have now entered the era of data data: data from multiple fields including biology are accumulating at rapid speed. Such data hold promise to improve our lives, for example by making better, personalized medical therapies. However, making sense of data is not a trivial exercise because of scale and internal complexity of many datasets. The new course, “Overview of data science” will aim at teaching basic tools one could use to make solid inferences from experimental data. The data will be coming from published peer reviewed literature (generally, the field of infectious diseases and medicine), and we will use programming language R for data analysis and graphing. The core of the course will be analysis of a specific dataset provided by instructor, taken from published literature. At the end of the course you will be able to judge quality of published graphs and perform basic and sophisticated analyses of biological data, including with the use of mathematical modeling.

This course in listed in the math department (MATH 499) and does count towards 42 upper division hours in the College of Arts and Sciences. 
Microbiology concentration students will be able to use this course to satisfy the upper level requirements for the concentration. Students in other majors or concentrations need to contact their departmental advisers to inquire about counting the course towards the concentration.

If you have any questions regarding the course and its planned format, please contact the course Instructor, Vitaly V. Ganusov ([log in to unmask])

Vitaly
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Vitaly V. Ganusov
Associate Professor
1311 Cumberland Avenue
307 Ken and Blaire Mossman Building
Department of Microbiology
Department of Mathematics
University of Tennessee
Knoxville, TN 37996-1937
USA
Phone: +1 865 974-4547
FAX:   +1 865 974-4007
http://ganusovlab.utk.edu

“So long as man remains free he strives for nothing more so incessantly and so painfully as to find something to worship.“ Feodor Dostoevsky

“It is impossible to speak in such a way that you cannot be misunderstood.” Karl Popper

“Science may be described as the art of systematic over-simplification.” 
Karl Popper