Spring 2017

BIOINF 2014

Biomedical Informatics Project Course (3 credits)

This course provides an opportunity for students to apply concepts that they learned in BIOINF 2011 to carry out a one-term research project. They will be asked to identify, plan, develop, carry out, and report on such a project. This hands-on course will encourage students to think more deeply and concretely about the concepts and methods presented in BIOINF 2011 and in doing so to develop a better understanding of that material. This course will also serve as an early, mentored introduction to performing biomedical informatics research.

Instructor:  Gregory F. Cooper, M.D.

Term:  Spring

Days/Times:  Tuesdays/Thursdays from 1:30 p.m. to 3:00 p.m.

Location:  407A BAUM, 5607 Baum Blvd.

Prerequisites: BIOINF 2011 – Introduction to Biomedical Informatics.

Recitations:  None

 

Biomedical Informatics Colloquium (Lecture Series) (This is not a formal course.)

This course meets once each week for one hour.  The current research of Biomedical Informatics faculty and senior fellows will be presented.

Instructor:  Various speakers

Term:  Fall and Spring

Days/Times:  Fridays, 9:00 a.m. to 10:00 a.m.

Location:  407A BAUM, 5607 Baum Blvd.

 

BIOINF 2016

Foundations of Translational Bioinformatics (3 credits)

The course goals are to gain familiarity of data produced with current biotechnologies, such as DNA arrays (e.g. SNP data), microarrays (transcriptional profiles), proteomics (mass spectrometry data), epigenomics (methylation profiles). Understand what can be done with such data to infer relations between genome, epigenome, and phenome, in order to discover molecular mechanisms of diseases, or identify biomarkers, or discover novel therapies for diseases.

Instructor: Madhavi Ganapathiraju, Ph.D.

Days/Times: Monday/Wednesday from 3:00 p.m. to 4:25 p.m.

Location: 407A BAUM, 5607 Baum Blvd.

Prerequisites: None

Recitations: None

 

BIOINF 2032

Biomedical Informatics Journal Club (ISSP 2083) (1 credit)

Biomedical informatics is a broad field encompassing many different research domains. What all of the domains have in common is the need to review and publish scientific papers and to give talks that present research to different audiences. The aim of this journal club is to expose students to recent research in various topics of biomedical informatics and to teach students how to critique a research article, present research from a research study; and critique a verbal presentation of research.

Instructor:  Xinghua Lu, M.D., Ph.D. and Ervin Sejdic, Ph.D.

Term:  Spring

Days/Times:  Fridays, 10:00 a.m. to 11:00 a.m.

Location:  536B BAUM, 5607 Baum Blvd.

 

BIOINF 2117

Applied Clinical Informatics (3 Credits)

This course is designed to provide an overview of the field of Applied Clinical Informatics. Students will learn about the myriad issues that arise when deploying information technology into clinical environments.  Various clinical, social, organizational, legal, and technical challenges make deployment a challenge.  Learning how others have addressed these challenges will equip the student for applied informatics roles.

Instructor:  Steve Hasley, M.D.

Days/Times:  Thursdays, 9:00 a.m. to 12:00 p.m.

Location:  407A BAUM, 5607 Baum Blvd.

Expected class size:  8-15

 

BIOINF 2118

Statistical Foundations of Biomedical Informatics (3 credits)

This is an introductory probability and statistics course intended primarily for biomedical informatics students. The first part of the course covers probability, including basic probability, random variables, univariate and multivariate distributions, transformations, expectation, numerical integration, and approximations. The second part of the course covers statistics, including study design, classical parametric inference, hypothesis testing, Bayesian inference, non-parametric methods, classification, ANOVA, and regression. We will use R for statistical computing and applications. Examples and applications will focus on biomedical informatics and related discipline.

Instructor:  Roger Day, Sc.D.

Term:  Spring

Days/Times:  Tuesdays/Thursdays, 3:00 p.m. to 4:30 p.m.

Location:  407A BAUM, 5607 Baum Blvd.

Expected class size:  10-15

 

BIOINF 2119

Probabilistic Methods in Artificial Intelligence (3 credits)

This course is designed for students who do not necessarily have a background in computer science and want to learn and apply methods in artificial intelligence to problems in biomedicine. The course will introduce and provide the foundations artificial intelligence methods in search, probabilistic knowledge representation and reasoning, and machine learning with applications to biomedical informatics. Prerequisites for this course include introductory mathematics (familiarity with vectors and matrices).

Instructor:  Shyam Visweswaran, MD, PhD, Xia Jiang, Ph.D. and Madhavi Ganapathiraju, Ph.D.

Term:  Spring

Days/Times:  Monday/Wednesday from 12:30-2:00 p.m.

Location:  407A BAUM, 5607 Baum Blvd.

Prerequisites:  Introductory Mathematics and Programming

Expected class size:  10-15

 

BIOINF 2124

Principles of Global Health Informatics (3 credits)

This course explores challenges and opportunities in developing and supporting health information systems in developing-world settings by examining differences, and ways to both integrate and sustain systems in an appropriate way in low-resource settings. The course will review the current "state-of-the-art" in this field by looking at examples of systems currently deployed in the developing world, and explore opportunities for advancing this work through a series of case studies and hands-on exercises based on real-world scenarios.

Instructor:  Gerald Douglas, PhD

Term:  Spring, every odd year                                                           

Days/Times:  TBD – contact instruction

Location:  TBD

Prerequisites:  BIOINF 2011 and permission from instructor

 

BIOINF 2125

Informatics and Industry (1 credits)

This class will be held once a week, for 1 hour.  The focus of the class is to provide an opportunity for students to interact with leading industry representatives and to learn techniques/tools that would enable them to market their skills in non-academic environments. We will invite speakers from various local, regional, national, and international industry relationships that we have established

Instructor:  Michael Becich, M.D., Ph.D. and Don Taylor, Ph.D., MBA, M.S.

Term:  Spring

Days/Times:  Mondays, 10:00 a.m. to 11:00 a.m.

Location:  407A BAUM, 5607 Baum Blvd.

Prerequisites:  BIOINF 2011

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