New courses for Spring!
The Department of Bioengineering is offering some exciting new courses for Spring!
Nov 16, 2021
BIOE 5420 Medical Device Market Access
Michael Mestek, Director, US Marketing | Global Marketing at Medtronic
This one credit special topics course will explore how evidence, economics, and education influence medical device market adoption.
BIOE 5420/4420 Data Science Methods
Dr. Dave Albers, Associate Professor, Pediatrics-Informatics and Data Science, CU School of Medicine
The goal of the course is to formulate how to compute with, model, and analyze data collected in a clinical setting by focusing on understanding the processes that generate the data, and incorporating that knowledge into the analysis process. The course also serves as an advanced computational methods class focusing on topics such as physiological modeling, signal processing, nonlinear regression methods (Gaussian processes, deep learning), inference methods ranging from least squares to expectation-maximization, optimization methods, and control.
BIOE 5420/4420 Electrophysiology
Krista Walker, Regional Business Director, Biosense Webster
This course is taught by individuals from the local Biosense Webster team and covers topics in electrophysiology to prepare the student for a career in this field. Students will learn about common cardiac arrhythmias, how they develop, how to identify them on EKG tracings, and the current methods for treating patients with these arrhythmias. As such, students will also learn about the bio instrumentation (such as mapping and ablation catheters) used in the operating room for these procedures.
Michael Mestek, Director, US Marketing | Global Marketing at Medtronic
This one credit special topics course will explore how evidence, economics, and education influence medical device market adoption.
BIOE 5420/4420 Data Science Methods
Dr. Dave Albers, Associate Professor, Pediatrics-Informatics and Data Science, CU School of Medicine
The goal of the course is to formulate how to compute with, model, and analyze data collected in a clinical setting by focusing on understanding the processes that generate the data, and incorporating that knowledge into the analysis process. The course also serves as an advanced computational methods class focusing on topics such as physiological modeling, signal processing, nonlinear regression methods (Gaussian processes, deep learning), inference methods ranging from least squares to expectation-maximization, optimization methods, and control.
BIOE 5420/4420 Electrophysiology
Krista Walker, Regional Business Director, Biosense Webster
This course is taught by individuals from the local Biosense Webster team and covers topics in electrophysiology to prepare the student for a career in this field. Students will learn about common cardiac arrhythmias, how they develop, how to identify them on EKG tracings, and the current methods for treating patients with these arrhythmias. As such, students will also learn about the bio instrumentation (such as mapping and ablation catheters) used in the operating room for these procedures.