BIOENGR 208

Data-Driven Methods for Pathway Modeling Using Protein-Protein Interaction Networks

Bioengineering · 4 units · Graduate courses (200-299)

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Exploration using protein-protein interaction (PPI) network methods for advancing understanding of biology. Use of combination of focused paper reading and discussion, lecture, and implementations assignments to understand research applications of PPI networks. Culminates in final project and research paper.

Letter grading.

When it runs

Winter 2027

Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.

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Requisites

Official UCLA wording
Requisites: Civil and Environmental Engineering M20 or Computer Science 31, and Life Sciences 7A, 7C. Preparation: some coding experience in Python.

BruinTree reads · Prerequisite

confidence 1.00 · from UCLA’s structured data

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BruinTree reads · Preparation

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Requires

Everything that has to come before this course, not just the courses named in the requisite above.

BIOENGR 208

C&EE M20Introduction to Computer Programming with MATLAB
- MATH 33ALinear Algebra and Applications
  - MATH 3BCalculus for Life Sciences Students1 more beneath
  - MATH 31BIntegration and Infinite Series1 more beneath
  - MATH 32ACalculus of Several Variables1 more beneath

Unlocks

What this course is a requisite for, and what those courses lead to in turn.

No course in the catalog lists this as a requisite.