Students will acquire the skills and knowledge to conduct complex data analytics on real-world problems using regression analysis, time series and forecasting and analytic methods for optimization. Through a case-based methodology student will focus on digital analytics, social
Students will build upon the data analytics expertise acquired in previous courses to use visualization and storytelling techniques to visually communicate and present their findings. Specific emphasis will be placed on communication to technical and non-technical audiences.
This course covers the statistical methods used for the time series analysis in healthcare data analysis. The course introduces the students to concepts of time series decomposition, stationary vs. non-stationary univariate series, various forms of ARIMA models (white noise, AR
Prerequisite: None. In this first series on coaching, learners engage in peer coaching and mentoring discussions with faculty and lecturers to support visioning, planning, and progress on learners’ leadership development. These sessions are also opportunities for community
Prerequisites: None. This course introduces basic audiometric test procedures including pure-tone air- and bone-conduction thresholds, masking, and speech perception testing.
Prerequisites: None. This course introduces the bases for, and implementation of, objective measures of auditory function including acoustic immittance, otoacoustic emissions, and auditory evoked potentials.
Prerequisites: None. In this course, students will learn the basic features of hearing aids and how those features affect the amplified signal. The software and procedures for fitting hearing instruments will also be covered. Students who successfully complete this course will
Prerequisites: CA-730, CA-731. This course provides advanced training in fitting and validation of cochlear and brainstem implants as well as current advances in implantable hearing technologies.
Prerequisites: None. This course reviews the risks of hearing loss due to noise exposure and the audiologist’s role in noise level assessment and abatement.
Prerequisites: None. This course prepares students to be critical consumers of different of types of research, methods, and statistics that are commonly used to investigate normal and disordered human communication in laboratory and clinical settings.