Id: 041521 Credits Min: 3 Credits Max: 3

Description

Data analysis is a major skill that is required to solve problems as well as to design and develop biotechnology solutions and medical devices. A bioengineer must not only apply the long standard general statistical methods in order to analyze data but also master some of the unique aspects involved in the analysis of biomedical datasets. This course will require the student to become proficient in MATLAB and the Statistics and Machine Learning Toolbox in order to achieve course learning objectives. The student will also be required to demonstrate their bioanalytical proficiency through the implementation of an individual project.

Prerequisites

MATH.2830 Introduction to Statistics, or MATH.3860 Probability and Statistics, or Permission of Instructor.

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