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Micro-scale Engineering for Cell Biology

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Ten simple rules for designing and running a computing minor for bio/chem students.

Rochelle-Jan Reyes^1,2,3, Nina Hosmane¹, Shasta Ihorn¹

¹Department of Biology, San Francisco State University, San Francisco, California, United States of America.

Plos Computational Biology

|July 14, 2022

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A new computing applications minor (Promoting Inclusivity in Computing - PINC) was created to equip biology, biochemistry, and chemistry students with essential programming and data science skills for today's job market.

Area of Science:

Interdisciplinary studies
Computer science education
STEM workforce development

Background:

Modern workforce demands programming and data science skills for science graduates.
Historically, limited computer science minor completion among biology, biochemistry, and chemistry students at San Francisco State University.
Need for specialized computing education tailored to science disciplines.

Purpose of the Study:

To present lessons learned from establishing and running a new computing applications minor.
To detail strategies for engaging science students in computing.
To provide a framework for interdepartmental collaboration in academic program development.

Main Methods:

Development of a new minor in computing applications (Promoting Inclusivity in Computing - PINC) in 2016.

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Curriculum design focused on attracting and retaining biology, biochemistry, and chemistry students.

Implementation of pedagogical strategies and support systems within the program.

Establishing interdepartmental coordination for program administration.

Main Results:

The PINC minor was established to address the gap in computing skills among science students.
The program's structure and teaching methods were designed to appeal to target student populations.
Lessons learned are codified into 10 distinct rules for program implementation and management.
Focus on student engagement, support, and behind-the-scenes operational efficiency.

Conclusions:

The PINC minor serves as a model for integrating computing skills into science education.
The 10 rules offer practical guidance for developing similar interdisciplinary programs.
Successful program implementation requires strategic planning, tailored pedagogy, and robust administrative support.
Enhancing computing proficiency among science students is crucial for career competitiveness.