<p>Seminar, one to four hours; outside study, two to five hours. Limited to bioengineering graduate students. Advanced study and analysis of current topics in bioengineering. Discussion of current research and literature in biomedical data science, computational biology, statistical genetics, machine learning, and artificial intelligence. Student presentation of projects in a research specialty. May be repeated for credit. S/U grading.</p>

Bioengineering

Henry Samueli School of Engineering and Applied Science

BIOENGR 295T - Seminar: Research Topics in Bioengineering—Research in Biomedical Data Science

Seminar: Research Topics in Bioengineering—Research in Biomedical Data Science

Demonstrate knowledge of current research by accurately summarizing the main question, methods, and key findings from at least three assigned papers, and explaining their significance to classmates.

Critically evaluate research based on evidence by identifying at least one alternative interpretation or counterexample that is consistent with the presented data in seminar discussions.

The overall goal of this seminar is to cultivate the scientific literacy, critical thinking, and communication skills necessary to become future leaders in biomedical data science and related research fields.
By the end of this course, students will be able to:

Identify new research directions by proposing at least one testable research question or hypothesis inspired by seminar content and justifying its relevance.

Draw connections across fields by recognizing and articulating at least one similarity or parallel between methods, concepts, or findings from two different disciplines (e.g., genetics and AI).

Communicate complex scientific ideas clearly by conveying one seminar concept in an accessible language suitable for a non-specialist audience, without loss of scientific accuracy.

General Catalog

Seminar: Research Topics in Bioengineering—Research in Biomedical Data Science

BIOENGR 295T

2 units