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When working with big data, we need to integrate heterogeneous data from a variety of sources and in a variety of formats to provide workable homogeneous data sets for further analysis or processing. Students write programs using a scripting language to extract, transform, merge, and clean data to...

Students examine the hardware and software components necessary to create an infrastructure capable of supporting informatics studies. Topics include CPU architectures that permit parallelism, CPU clusters, cloud computing and virtualization, and methods of effectively distributing data while...

Once data has been gathered, it must be cleaned, processed, and analyzed in order to find the most appropriate model to answer bioinformatics questions. Using case studies from biological data, health records and textual analysis, students learn concepts and techniques of data mining and machine...

Bioinformaticians uncover trends and patterns in data by creating and using effective visual formats. Students master techniques for effectively communicating both qualitative and quantitative data in tables, charts, infographics, and interactive elements. They learn the role and importance of...

Computers provide the power and platform for any significant work in data analytics. Students learn about an organization's information systems and business processes as well as its multiple data sources. Students issue database commands to examine the data's structure and organization and retrieve...

Data analysts need to integrate heterogeneous data from a variety of sources and in a variety of formats to provide workable homogeneous data sets for further analysis or processing. Students write programs using a scripting language to extract, transform, merge, and clean data to generate datasets...

Data analysts uncover trends and patterns in data by creating and using effective visual formats. Students learn techniques for effectively communicating both qualitative and quantitative data in tables, charts, infographics, and interactive elements. They learn the role and importance of colour...

Once data has been gathered, it must be cleaned, processed, and analyzed in order to find the most appropriate model to describe the underlying data. Using text classification and anomaly detection, students identify and implement the phases of a data mining process to mine and extract frequent...

Students learn the universal theories and concepts of design elements and principles to create meaningful, deliberate, and influential presentations for both two- and three-dimensional design as descriptive implied or abstract work.