MTHS 100: Mathematical Foundations for Data Analytics

MTHS 100: Mathematical Foundations for Data Analytics
Course in Mathematical Sciences
Course Description:

This course provides an introduction to key topics that form the foundation for further study in mathematics, data analytics, and statistics. Topics covered include finite math, logic, algebra (including basics of matrix algebra) functions, probability, and a conceptual introduction to calculus. Through this course, students will develop both an understanding of the concepts and the ability to apply the concepts and techniques to analysis and problem-solving. Course format includes readings, lectures and demonstrations, and extensive hands-on practice with instructor and peer feedback.

Course Credits:
1 course unit (c.u.)*
Term Format:
Accelerated 8-Week Term
2020 Term Offered:
Summer 1 (accelerated): May 26 – Jul 20, 2020
Fall 1 (accelerated): Sep 1 – Oct 26, 2020
2021 Term Offered:
Spring 1 (accelerated): Jan 15 – Mar 10, 2021
Course Block:
BAAS Foundational Requirement:
Quantitative Analysis - Mathematics
Gateway Category:
Quantitative Analysis

*Academic credit is defined by the University of Pennsylvania as a course unit (c.u.). A course unit (c.u.) is a general measure of academic work over a period of time, typically a term (semester or summer). A c.u. (or a fraction of a c.u.) represents different types of academic work across different types of academic programs and is the basic unit of progress toward a degree. One c.u. is usually converted to a four-semester-hour course.

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