There are many graduate course offerings related to (bio)medical informatics at UCLA. The core courses are listed below.

Q1: Fall Quarter Q2: Winter Quarter Q3: Spring Quarter
Bioengineering 220 (Core faculty)

Intro to Medical & Imaging Informatics

Students are exposed to foundational concepts of computation and analytical thinking that are needed to solve problems in medical and imaging informatics. An overview of concepts across subfields of informatics is given. An understanding of the healthcare system and the opportunities and pitfalls of working with observational clinical and imaging data is provided.

Bioengineering 224A (Taira)

Physics & Informatics of Imaging

Overview of conventional imaging modalities. Physical principles of image formation for projectional, computed radiography (CR), computed tomography (CT), basic magnetic resonance (MR), and ultrasound (US). Informatics issues related to representation and modeling of images (e.g., DICOM data models), image management.

Bioengineering M226 (Taira)

Medical Knowledge Representation

Data structures for organizing and reasoning with medical information and knowledge, including: conceptual graphs, ontologies, (logical) frames, rule-bases. Temporal models in medicine. Deterministic vs. probabilistic frameworks (e.g., belief networks, hidden Markov models) for decision support. Current methods for formal knowledge specification in different clinical domains.

Bioengineering M227 (Bui)

Medical Information Infrastructures

An introductory course on healthcare information systems and current standards. An overview of standards and architectures (e.g., client/server; high performance computing; cloud computing; web and service oriented architectures), databases, and conventional information systems comprising EHRs.

Bioengineering M228 (Hsu, Sayre)

Medical Decision Making & Reasoning
Introduction to biostatistics and study design. Discussion on meta-analysis methods and concepts such as odds ratio are described. Understanding basic statistical and probabilistic models, including, Bayesian statistics. Materials are presented in the context of how healthcare decision making processes are conducted.

Bioengineering M224B (Arnold, Speier)

Advances in Imaging Informatics

Introductory IR course with emphasis on biomedical datasets. Overview of IR concepts will be presented. Illustrative examples drawn from the biomedical informatics literature will be highlighted as practical use-cases for conceptual material. Advanced applications, including case-based reasoning and automatic summarization will be covered.

Bioengineering 223A (Core faculty)

Research Rotation

Bioengineering 223B (Core faculty)

Research Rotation

Bioengineering 223C (Core faculty)

Research Rotation