Student Learning Outcomes
1.Document, analyze, and translate needs into technical designs and informatics solutions
2.Explain the general data lifecycle and relevant techniques from data acquisition, transformation, storage, retrieval, analysis, visualization, preservation, and publishing/sharing.
3.Apply various mathematical concepts, algorithms, technical standards, and principles to small and big data sets.
4.Develop and deliver professional communications in the field. Liaise with a range of people, including business managers, scientists, and IT developers.
5.Apply privacy and ethics principles in data management and analysis
6.Employ data storytelling and dive into the data, find useful patterns, and articulate what patterns have been found, how they are found, and why they are valuable and trustworthy