Hnr Indstu In COMPSCI

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study. Further information is available at CHC PATHS (honors.umass.edu/chc-paths/). REGISTRATION SHOULD BE DONE DURING PRE-REGISTRATION AND COMPLETED BEFORE THE END OF THE ADD-DROP PERIOD.

Hnrs Indstu Cmpsci

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

Hnr Indstu In COMPSCI

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

Hnrs Indstu COMPSCI

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study. Further information is available at CHC PATHS (honors.umass.edu/chc-paths/). REGISTRATION SHOULD BE DONE DURING PRE-REGISTRATION AND COMPLETED BEFORE THE END OF THE ADD-DROP PERIOD.

Foundations of Data Science

The field of Data Science encompasses methods, processes, and systems that enable the extraction of useful knowledge from data. Foundations of Data Science introduces core data science concepts including computational and inferential thinking, along with core data science skills including computer programming and statistical methods. The course presents these topics in the context of hands-on analysis of real-world data sets, including economic data, document collections, geographical data, and social networks.
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