DS Undergraduate Handbook (2023-2024) - Learning Outcomes
Kahlert School of Computing
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DS Undergraduate Handbook (2023-2024) - Learning Outcomes
University of Utah, School of Computing
DS Degree Learning Outcomes
Demonstrate a knowledge of general computing principles
Demonstrate the ability to develop and work with abstractions
Demonstrate a knowledge of classical algorithms and data structures
Be able to analyze the efficiency of algorithms
Be able to design and implement efficient algorithms to solve computational problems
Demonstrate the ability to work with libraries and a large code base
Show profeciency in data management and analsys
Demonstrate ability to gather, clean, and evaluate the worth of data from disparate sources
Be able to reshape and assess the significance and robustness of data using statistical and visualization techniques
Be able to manage data in a database or data structure so it can be efficiently retrieved for analysis
Be able to use stores of data to model and predict future data from a similar source, and known the limitations of such techniques
Show understanding of data science's role, and how to effectively leverage and communicate that role
Show understanding how the data science pipeline can affect facets of science, engineering, and technology, and how to assess the ethical implications
Be able to work with a domain expert to iteratively formulate a way data science techniques can help solve a challenge they face
Be able to work in a team setting towards a common goal
Demonstrate clarity in technical communication to a diverse audience
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