Facts
- EU/EEA citizens: DKK 10,000
- Non-EU/EEA citizens: DKK 13,500
- To be announced
This comprehensive program delves into the foundational concepts of AI, empowering students with essential skills to navigate the intricacies of machine learning systems. From grasping the basic elements and structure of machine learning systems to hands-on experiences in data preparation, model training, fine-tuning, and system maintenance, this course offers a holistic understanding. Blend theory with practical exercises to establish a solid foundation in AI and ML, applicable in both health-related research and industrial contexts.
This course is from the third semester of Master of Digital Health and will not be available until the autumn of 2025.
Designed to impart fundamental knowledge and practical skills, this course guides participants through the entire machine learning process. Gain insights into the structure of machine learning systems, the description of patterns using features, and the application of supervised and unsupervised machine learning models. Learn to analyze, visualize, and select features, preparing data for comprehensive training, validation, and testing of machine learning models. Translate your knowledge into the design, development, and evaluation of simple AI systems, with a critical assessment of prediction and classification approaches in health care contexts.
Target Group and Outcome
Seminar Dates, Location and Other Expenses
Admission Requirements
Muligheder for enkeltfag
Enkeltfag er en mulighed for dig, der ikke nødvendigvis ønsker at afslutte en fuld deltidsuddannelse.