ClassInfo - Fall 2019 Statistics Classes

Fall 2019 | STAT 1915 Section 001: Scientific Computing with Python (34051)

Instructor(s): Snigdhansu Chatterjee
Class Component:: Discussion
Credits:: 3 Credits
Grading Basis:: A-F only
Instructor Consent:: No Special Consent Required
Instruction Mode:: In Person Term Based
Class Attributes:: Freshman Seminar
Times and Locations:: Regular Academic Session

09/03/2019 - 12/11/2019

Wed 01:00PM - 03:30PM

UMTC, East Bank

Lind Hall 229
Enrollment Status:: Open (14 of 20 seats filled)

Course Catalog Description:: The singular most important skill to have in modern times is to be able to glean out true and relevant information from the deluge of data, and this class is aimed at developing that skill. To tease out information from big data, one needs an understanding of "what to compute" and "how to compute": the statistics and computer science arms of data science respectively. This class will initiate the development of such an understanding, as well as develop some computational skills in Python language, and scientific writing skill is LaTeX language. Python is a modern programming language, which is very popular in various industries dealing with large quantities of data. LaTeX is the principal language for writing mathematical and technical descriptions and research papers. We will discuss the basic principles that form the foundation of data science, and are central to modern statistics, machine learning and artificial intelligence. We will discuss how to quantify uncertainty, identify falsehood and develop scientific skepticism while analyzing data.
Class Description:: Student may contact the instructor or department for information.
Textbooks:: https://bookstores.umn.edu/course-lookup/34051/1199

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