Our Courses

Epidemics I

Explore the science, prevention and control of epidemics in this free online course. In addition to lectures by leading scientists in this field from HKU, this course will feature a supplementary module on COVID-19 and panel discussions with world-leading experts in epidemics.

This is the first (origins of novel pathogens) of the four courses, covers these topics:

• Course by
• Self Paced
• English

Recovering the Humankind's Past and Saving the Universal Heritage

Archaeology is, among human sciences, the discipline with the strongest importance for the rediscovery, but also for the preservation and protection of cultural heritage, as Humankind’s universal patrimony. You will be introduced to the way we ourselves reflect on and are engaged with the study of human past: from the practical and material recovery of ancient traces in the field to the study and interpretation.

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• Self Paced
• 14 hours
• English

Nursing Informatics Leadership

Nurses and interprofessional healthcare clinicians and educators will learn principles of informatics leadership in clinical and academic settings, and apply their learning to real world scenarios in practice and training/education environments.

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• Self Paced
• English

Clinical Data Science

Are you interested in how to use data generated by doctors, nurses, and the healthcare system to improve the care of future patients? If so, you may be a future clinical data scientist! This specialization provides learners with hands on experience in use of electronic health records and informatics tools to perform clinical data science.

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• Self Paced
• English

Skills for Nursing Informatics Leaders

In this first of our five courses, Dr.

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• Self Paced
• 18 hours
• English

The Outcomes and Interventions of Health Informatics

For clinical data science to be effective in healthcare—to achieve the outcomes desired—it must translate into decision support of some sort, either at the patient, clinician, or manager level. By the end of this course, students will be able to articulate the need for an intervention, to right size it, to choose the appropriate technology, to describe how knowledge should be obtained, and to design a monitoring plan.

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• Self Paced
• 7 hours
• English

Introduction to High-Throughput Materials Development

This course is an introduction to high-throughput experimental methods that accelerate the discovery and development of new materials. It is well recognized that the discovery of new materials is the key to solving many technological problems faced by industry and society. These problems include energy production and utilization, carbon capture, tissue engineering, and sustainable materials production, among many others. This course will introduce the learner to a remarkable new approach to materials discovery and characterization: high-throughput materials development (HTMD).

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• Self Paced
• 16 hours
• English

Computing for Cancer Informatics

One of the key cancer informatics challenges is dealing with and managing the explosion of large data from multiple sources that are often too large to work with on typical personal computers. This course is designed to help researchers and investigators to understand the basics of computing and to familiarize them with various computing options to ultimately help guide their decisions on the topic.

• Course by
• Self Paced
• 12 hours
• English

The Social and Technical Context of Health Informatics

Improving health and healthcare institutions requires understanding of data and creation of interventions at the many levels at which health IT interact and affect the institution. These levels range from the external “world” in which the institution operates down to the specific technologies. Data scientists find that, when they aim at implementing their models in practice, it is the “socio” components that are both novel to them and mission critical to success.

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• Self Paced
• 9 hours
• English