Timeroom: Fall 2021

Displaying 1 - 10 of 10 Results for: Subject = HDS
Durham   Health & Human Services :: Health Data Science

HDS 800 (1ON) - Mathematics and Statistics for Health Data Science

Math and Statistics for HDS

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term I (08/16/2021 - 10/08/2021)
Class Size:   15  
CRN: 15557
This course covers the foundations of probability and inferential statistics as well as foundations of linear algebra and matrices. After completion of this course, students should be comfortable with performing basic analysis of data including descriptive statistics, data visualization and appropriate statistical tests. Different probability distributions will be introduced along with hypothesis testing, confidence intervals, linear regression, and ANOVA.
Instructors: Nicholas Buonamia
Start Date End Date Days Time Location
8/16/2021 10/8/2021 Hours Arranged ONLINE
Durham   Health & Human Services :: Health Data Science

HDS 801 (1ON) - The U.S. Healthcare System

The U.S. Healthcare System

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term I (08/16/2021 - 10/08/2021)
Class Size:   15  
CRN: 15534
Focuses on the organization, financing, and delivery of healthcare in the U.S. Contrasts the private and public sectors and examines the effects of market competition and government regulation. Examines the ways that medical providers are paid, and explores the major issues currently facing physicians, hospitals, and the pharmaceutical industry. Discusses several potential small-scale and large-scale reforms to the healthcare system and evaluates their likely effects on healthcare spending, quality of care, and access to care.
Equivalent(s): ADMN 801
Instructors: Bradley Herring
Start Date End Date Days Time Location
8/16/2021 10/8/2021 Hours Arranged ONLINE
Durham   Health & Human Services :: Health Data Science

HDS 802 (1ON) - Programming in Healthcare Environments

Programming in Healthcare

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term II (10/18/2021 - 12/14/2021)
Class Size:   15  
CRN: 15558
This course covers using Python as a programming language to write, implement, and design programs that are relevant to various aspects of programming in a health setting. After completion of this course, students should be comfortable with the basic data structures in Python and R (including arrays, dictionaries, and dataframes), conditional logic and iterators, writing Python and R functions, and using Python libraries to read external data and perform data manipulations and data analysis.
Instructors: Joanna Gyory
Start Date End Date Days Time Location
10/18/2021 12/14/2021 Hours Arranged ONLINE
Durham   Health & Human Services :: Health Data Science

HDS 803 (1ON) - Translation of Health Data

Translation of Health Data

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term II (10/18/2021 - 12/14/2021)
Class Size:   15  
CRN: 15535
This course will give you the skills you need to leverage data to reveal valuable insights and advance your career. This course teaches you the visualization skills necessary to be effective Data Storytellers which helps engage your audience in a story about the data. This course focuses on concepts as well as hands-on experience of presenting data from initial concepts to final presentation by creating meaningful displays of quantitative and qualitative data to facilitate peer/managerial decision making. Prereq: HDS 801.
Instructors: Joanna Gyory
Start Date End Date Days Time Location
10/18/2021 12/14/2021 Hours Arranged ONLINE
Durham   Health & Human Services :: Health Data Science

HDS 806 (1ON) - Outcomes Research

Outcomes Research

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term I (08/16/2021 - 10/08/2021)
Class Size:   15  
CRN: 16477
This course examines the evidence developed through the lens of outcomes research relative to clinical care and public/population health initiatives. It explores the development of study design, developing a workable research question and associated proposed study methods. The course explores frequently used study designs, techniques for evaluating/selecting health outcomes measures, and analytical approaches appropriate to conducting health outcomes research. Students will construct an independent research protocol, which will be developed in increments as course evolves. Prereq: HDS 804.
Instructors: STAFF
Start Date End Date Days Time Location
8/16/2021 10/8/2021 Hours Arranged ONLINE
Durham   Health & Human Services :: Health Data Science

HDS 807 (1ON) - Unstructured Health Data

Unstructured Health Data

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term I (08/16/2021 - 10/08/2021)
Class Size:   15  
CRN: 16478
This course covers the essential unstructured data formats, storage platforms and methods of retrieving and analyzing such data in the healthcare system. Specifically, the course will cover electronics health records, patient health portals, telemedicine videos, ICU sensor data, genomic data, biomedical literature, social media data, biomedical image data and physician notes. Prereq: HDS 805.
Instructors: Joanna Gyory
Start Date End Date Days Time Location
8/16/2021 10/8/2021 Hours Arranged ONLINE
Durham   Health & Human Services :: Health Data Science

HDS 808 (1ON) - Current Topics in Health Systems

Current Topics/Health Systems

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term I (08/16/2021 - 10/08/2021)
Class Size:   15  
CRN: 16474
This course examines current health issues facing our country and world through the lens of data science. It will focus on one or more major health issues currently in the public debate, examine the issue from the known body of evidence, and suggest novel methods for better understanding the current constructs of the issues, its history, or new ways and/or data to expand the current context. Prereq: HDS 801.
Instructors: STAFF
Start Date End Date Days Time Location
8/16/2021 10/8/2021 Hours Arranged ONLINE
Durham   Health & Human Services :: Health Data Science

HDS 811 (1ON) - Health Data Science Practice

Health Data Science Practice

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term II (10/18/2021 - 12/14/2021)
Class Size:   15  
CRN: 16479
In this course, students will work to develop a data science thesis project with both an outside mentor and a faculty advisor. This course essentially bridges the entire curriculum, but builds over the coursework to the final presentation at the students' second residency prior to completing the program. Each student on a team will be required to justify the completion of practicum hours. Prereq: HDS 808.
Instructors: STAFF
Start Date End Date Days Time Location
10/18/2021 12/14/2021 Hours Arranged ONLINE
Durham   Health & Human Services :: Health Data Science

HDS 820 (1ON) - Health Systems Informatics

Health Systems Informatics

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term I (08/16/2021 - 10/08/2021)
Class Size:   15  
CRN: 16475
This course introduces students to data structures and data manipulation found in US Health Systems from the perspective of a data scientist in the role of health informaticist. Students will learn how to conceptualize the data ecosystem from input and data collection, secondary use, storage, retrieval and analysis. The course also promotes understanding of health data coding, applicability and validity. Students will explore health insurance claims data, public surveillance system data and administrative system data. Prereq: HDS 801.
Instructors: STAFF
Start Date End Date Days Time Location
8/16/2021 10/8/2021 Hours Arranged ONLINE
Durham   Health & Human Services :: Health Data Science

HDS 822 (1ON) - Al and Deep Learning in Healthcare

Al/Deep Learning in Healthcare

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term I (08/16/2021 - 10/08/2021)
Class Size:   15  
CRN: 16476
This course covers the essentials of deep learning artificial neural network models. The course will cover topics like basic structure of ANN, gradient descent, various cost functions, role of activation functions in ANN, shallow vs deep learning, hyper parameter tuning, model optimization for speed, regularization methods, transfer learning and the newest of all generative adversarial networks (GAN). Prereq: HDS 807.
Instructors: STAFF
Start Date End Date Days Time Location
8/16/2021 10/8/2021 Hours Arranged ONLINE