Spring Courses
BIOMEDICAL INFORMATICS (BIOINF) SPRING COURSES
(as of August 2024)
BIOINF 2010
Biomedical Informatics Colloquium
The Biomedical Informatics Colloquium is a weekly series of seminars focused on current research in biomedical informatics. Guest speakers come primarily from universities, but also government labs and the private sector. Registration is not required for seminar attendance but is required to take the course for credit. Grading is based on the extent of active participation throughout the semester.
Instructor: Erik Wright, Ph.D.
Term: Fall and Spring
Days/Times: Fridays, 11:00 a.m. to 12:00 noon
Location: 407A BAUM, 5607 Baum Blvd.
Expected class size: 10-20
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. (fall term) and Ye Ye, Ph.D. (spring term)
Term: Fall and Spring
Days/Times: Fridays, 10:00 a.m. to 11:00 a.m.
Location: 536B BAUM, 5607 Baum Blvd.
Expected class size: 5-10
BIOINF 2061
Single-Cell and Spatial Genomics Data Analysis (3 credits)
Students could work on a wide range of projects centered on the themes of preprocessing, analysis, integration, interpretation, visualization, manipulation and design of single-cell and spatial genomics data and experiments in life sciences and biomedicine. Ideas for potential projects will be suggested, and students are also free to choose their own topics. We will meet twice a week (class and recitation). Class time will be used to introduce necessary concepts from biology and computational methodology. Recitation time will be used to discuss students’ progress in their projects. For most projects, knowing R or Python will be necessary, and students should be ready to pick it up in the first few weeks of the seminar. Students may pair to work on more ambitious projects, or on complementary aspects of a project.
Instructor: Hatice Osmanbeyoglu, Ph.D.
Term: Spring
Days/Times: Tuesday/Thursdays, 11:00 a.m. to 12:30 p.m.
Location: 536B BAUM, 5607 Baum Blvd.
Expected class size: 5-10
BIOINF 2071
Foundations of Biomedical Informatics 2 (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 (challenges and analysis and interpretation to create knowledge).
Instructor: Vanathi Gopalakrishnan, Ph.D.
Term: Spring
Days/Times: Mondays/Wednesdays 9:30 a.m. to 10:55 a.m.
Location: 407A BAUM, 5607 Baum Blvd.
Prerequisites: CS 1501 Algorithm Implementation and CS 2710 Foundations of Artificial Intelligence
Expected class size: 5-10
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: TBA/TBA
Location: 407A BAUM, 5607 Baum Blvd.
Prerequisites: permission from instructor
Expected class size: 5-10
BIOINF 2132
Special Topic Seminar in Medical Informatics (1-3 credits)
This course is designed for faculty to offer small groups of students a study course on a topic of mutual interest and concern in the faculty member’s area of expertise.
Instructor: Department of Biomedical Informatics Faculty (will vary)
Term: TBA
Days/Times: TBA/TBA
Location: 407A BAUM, 5607 Baum Blvd.
Prerequisites: Discuss with Instructor
Expected class size: 5-10
This course could be offered in any given term — check with Toni Porterfield (tls18@pitt.edu)
BIOINF 2480 (1-6 credits)
Masters Thesis/Project Research
BIOINF 2990 (1-6 credits)
Masters Independent Study
BIOINF 2993 (1-6 credits)
Masters Directed Study
BIOINF 3990 (1-6 credits)
Doctoral Independent Study
BIOINF 3995 (1-6 credits)
Doctoral Directed Study
BIOINF 3998 (3 credits)
Doctoral Teaching Practicum
BIOINF 3999 (18 credits)
Doctoral Dissertation Research
NOTE: Students registering for Full-time Dissertation Study must register under the School of Medicine’s Course Number: FTDS 0000 (0 credits)