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MED 264: Principles of Biomedical Informatics

Instructor:  Tsung-Ting Kuo, PhD,
Teaching Assistants: Grace Yufei Yu and Aaron Boussina
Quarter: Fall, Mondays from 3:30 to 5:30 p.m. and Thursdays from 1:30 to 3:30 p.m.
Units: 4

Office Hours: By appointment

Course Objectives: The purpose of this class is to provide an engaging and lively introduction to the field of biomedical informatics. Building up from the basic bits of data to modeling complex organisms and organizations, the course will explore the nature of biomedical information and how this information is and can be used in the care of individual patients and populations. We highlight practical and state-of-the-art technologies in biomedical informatics to get students exposed to the current healthcare research environment. 

MED264 Syllabus

DATE

SPEAKER

SESSION TITLE

09/28
Tsung-Ting Kuo and Amy Sitapati
Skill Assessment Announcement
Introduction to Biomedical Informatics and Population Health Informatics
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BLOCK 1 - Clinical Informatics
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10/02
Jejo Koola
Evaluating Predictive Analytics for Clinical Decision Support 
10/05
Sally Baxter
Skill Assessment Due
Introduction to Ophthalmology informatics and All-of-Us
 10/09
Shamim Nemati
Teams Formed for Final Project
Deep Learning and Predictive Analytics in the ICU
10/12
Grace Yufei Yu
Data Analysis and Visualization with Python
12/16
Aaron Boussina
Introduction to AI / ML
10/19
Zemirah Ngow
Systematic review
10/23
Rodney Gabriel 
Anesthesia Informatics
10/26
Michael Hogarth
Project Proposals Due
Not All Data are Structured: Clinical Natural Language Processing and Standards

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BLOCK 2 - Clinical Research Informatics

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10/30

Michael Hogarth and Reid Otsuji Relational Models and Data Systems / Introduction to SQL
11/02 Kai Zheng
Graded Proposals Returned
Human Factors: Workflow Optimization and Human-Computer Interaction
11/06 Tsung-Ting Kuo Biomedical, Healthcare and Genomic Blockchain Applications
11/09 Robert El-Kareh The Big Picture of Informatics Implemented in Medical Centers and Introduction to EPIC
11/13 Tiffany Amariuta Algorithms for robust and scalable identification of genetic regulation of gene expression
11/16 Kathleen Curtius Cancer Genomics and Evolution
11/20 Alex Wenzel Basic statistics using R
11/22 Final TA Discussion Session Due ---
11/23 THANKSGIVING BREAK NO CLASS

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BLOCK 3 - Translational Bioinformatics

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11/27
Renee Zhang
Introduction to Basic Biostatistics
11/30
Matteo D'Antonio
Human Genetics
 12/04
Scott Lippman 
Cancer Informatics 
12/07
Hannah Carter
Project Reports Due
​Systems Biology for Biomedical Discovery
12/11
Final Presentations from Student Teams
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 Course grades will be based on:

  1. Proposal (20%)
  2. Homework (30%)
  3. Final project presentation and report (50%)
  4. Bonus credit for course participation and submitting evaluation forms (10%, 0.5% per lecture)