For students attending the course Monitoring of non-communicable diseases, large scale data collection, analysis and data visualizations (7 credits) course code 4NT015

The course deals with large-scale and local management of global public health diseases, their prevalence, trends and determinants, with focus on diet and physical activity.

Syllabus

Introduction to the course

During this course, different surveillance and monitoring tools, as well as data visualization schemes, for diet-related global diseases are introduced and used together with relevant organisations, policy documents and action plans in the field of public health nutrition. Teaching will focus on deployment requirements for appropriate disease monitoring data collection, requirements for appropriate data management and visualization, as well as ways of presenting disease monitoring outcomes in scientific terms. To achieve the above, you will be introduced to mainstream data analysis, processing and visualization tools. The use of AI analytics in health science and nutrition will also be introduced during the course.

Teaching methods and examination

This course consists of seminars, group work, lectures, exercises and discussions. The examination consists of active participation in workshops and an individual assignment.

Contacts

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Sara Bruce

Educational administrator

Course literature and useful resources

Reports, articles and other prescribed literature are listed at course start and will be available electronically.

Canvas

Canvas is the e-learning platform we are using at KI. Here you will find course material, assignments and a possibility to communicate with students and teachers. One to two weeks before the course starts you will as a student get an invitation by e-mail to the address you used at antagning.se. After accepting the invitation you should be able to access the course.

Content reviewer:
Sara Bruce
13-06-2025