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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, 11:00 a.m. to 12:00 noon
Location: via Zoom
Prerequisites: None
Recitations: None
Expected class size: 35-50
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: Lujia Chen, Ph.D.
Term: Fall
Days/Times: Fridays, 10:00 a.m. to 11:00 a.m.
Location: 536B BAUM, 5607 Baum Blvd.
Expected class size: 10
BIOINF 2070
Foundations of Biomedical Informatics 1 (3 credits)
This course serves as an introduction to core methods and topics in biomedical informatics using the context of the Learning Health System (LHS). A LHS combines data and information managements, discovery, and application of discoveries to clinical and population health. Discussion of the challenges associated with the construction of a LHS will be used to contextualize and motivate content to be covered in the course (people, data and knowledge, and evaluation).
Instructor: Richard Boyce, Ph.D.
Term: Fall
Days/Times: Tuesdays/Thursdays 9:00 a.m. to 10:25 a.m.
Location: 407A BAUM, 5607 Baum Blvd.
Expected class size: 15
BIOINF 2105
Artificial Intelligence in Biomedical Informatics (3 credits)
This course provides the required introduction to artificial intelligence (AI) for all Biomedical Informatics students in the Department of Biomedical Informatics. It is designed to complement the two Foundations of Biomedical Informatics courses by providing a rigorous and practical education on fundamental AI topics. While the lessons are on AI subjects that not specific to the biomedical domain, the course will point the students to problems and applications from biomedical relevant to each AI subject. The course is practical in the sense that the homework assignments will give students hands-on experience applying the AI methods covered throughout the course.
Instructor: Richard Boyce, Ph.D.
Term: Fall
Days/Times: Mondays/Wednesdays 9:00 a.m. to 10:25 a.m.
Location: 407A BAUM, 5607 Baum Blvd.
Expected class size: 15
BIOINF 2134
Publication & Presentation in Biomedical Informatics (3 credits)
This course provides a practical overview of how to write a research manuscript and how to give a scientific talk. Students taking this course must have a completed research project that can be used to complete the course exercises. Each week, we will target a specific section of the manuscript or scientific talk. Didactic sessions describing common problems and approaches will alternate with student presentation and peer critique. The course also covers the details of the publication process. At the end of the course, a special presentation workshop gives students the opportunity to improve their talks using videotaping and debriefing methods. By the end of the course, students will have completed a research paper and a finalized colloquium presentation.
Instructor: Harry Hochheiser, Ph.D.
Term: Fall
Days/Times: Tuesdays/Thursdays from 1:30 p.m. – 2:55 p.m.
Location: 407A BAUM, 5607 Baum Blvd.
Prerequisite: Completed data collection for study in research project with approval of both research advisor and course instructor.
Expected Class Size: 8
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