Applied Biotechnology

Survey of classical and emerging biotechnology techniques, principles, and societal applications, including genes, genomes, and industrial uses.

Offering recorded · Spring 2027 · Sources

Covers ethical and safety concerns, socioeconomic impacts, data integrity, and risk assessment in biotechnology regulatory environments.

Offering recorded · Spring 2027 · Sources

This course applies and analyzes professional scientific communication in biotechnology, focusing on designing written and oral documents like reports and presentations for complex, data-rich content.

Offering recorded · Spring 2027 · Sources

Covers biotechnological product development using biological and chemical methods, analyzing techniques for characterizing products and evaluating quality, safety, and the pipeline from conception to market.

Offering recorded · Spring 2027 · Sources

Covers descriptive and inferential statistics applied to biotechnology, focusing on experimental design, quantitative data analysis, and bioinformatic evaluation of molecular data sets.

Offering recorded · Spring 2027 · Sources

The course examines leadership strategies, organizational change, and ethical decision-making in biotechnology settings.

Offering recorded · Spring 2027 · Sources

Examines regulatory environments in risk-based assessment of biotechnological developments in industry, agriculture, and probiotics, highlighting stakeholder roles in oversight and policy through case studies.

Offering recorded · Spring 2027 · Sources

Global Operations and Supply Chain Management focuses on the strategic importance of operations and supply chains to business performance in biotechnology.

Offering recorded · Spring 2027 · Sources

Covers quality and project management in biotechnology from R&D to market, including IQ/OQ/PQ validation, project phases, schedule/time tools, and quality assurance.

Offering recorded · Spring 2027 · Sources

Tools for Data Analysis uses bioinformatics tools and computational methods for hands-on analysis of large datasets like genomic and proteomic data to solve biotechnology problems.

Offering recorded · Spring 2027 · Sources

Bioinformatic Inquiry advances competencies for analyzing biological data by balancing existing software with de novo development using advanced Python, R, algorithmics, machine learning, and simulations.

Offering recorded · Spring 2027 · Sources

PRE-CAPSTONE prepares students for an applied self-directed capstone by addressing problem identification, research, and project formulation, culminating in an oral and written proposal with a project schedule.

Offering recorded · Spring 2027 · Sources

Capstone course requiring a project in quality assurance, business management, or R&D, culminating in a substantive report, executive summary, and professional networking.

Offering recorded · Spring 2027 · Sources