Syllabus and Learning Paths

Course Title

Wastewater Bioinformatics Training Course

Course Goal

Equip participants to turn wastewater surveillance (WWS) data into actionable insights for disease monitoring and smarter public health decisions.

Course Format

This online, self-paced course can be completed in approximately 10–12 hours. Learning materials include video lectures, interactive case studies, quizzes, and discussion forums with the lecturer. For the best experience, especially in the bioinformatics module 5, we recommend using a laptop or desktop computer for optimal performance and efficiency.

Prerequisites

• Basic understanding of molecular biology and/or public health surveillance.
• Comfortable using computers and digital tools.
• A computer with enough processing power and RAM to handle sequence data and analysis tools.
• Operating System: Linux, macOS, or Windows (some tools may work better on Linux or via a virtual environment).

Learning Outcomes

By the end of this course, you should be able to:

1. Summarize the fundamental concepts and key public health applications of wastewater surveillance (WWS).
2. Design and evaluate WWS studies to investigate the epidemiology and spread of pathogens.
3. Select and apply appropriate bioinformatics methods for analysing WWS data.
4. Identify and use relevant metrics from WWS data to address priority health questions.
5. Describe and assess various wet-lab analytical methods and sampling strategies for WWS.
6. Interpret WWS results to support evidence-based public health recommendations.
7. Recognize and address ethical considerations in WWS practice.

Notification

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