Writing Assignment Topic:
Data science and machine learning have a great impact on the way we live day to day, as well as
far reaching effects on many industries. A data scientist will analyze data and develop a model, and a
machine learning engineer will focus on writing code and deploying machine learning products. Present
and discuss examples of both data science and machine learning technology, explain how these
respective technologies work, and evaluate how these two respective technologies have been
implemented in society. Trace the ways in which data science and machine learning have developed and
evolved over the years. Identify the common skill sets required for engineers in working in data science
and machine learning fields, and assess the societal, economic, environmental and global impacts of
each industry.
Assignment Details:
Students will perfect their research skills by identifying five primary sources1
to use in their paper.
Students will develop an annotated bibliography that lists each source in proper IEEE reference format,
accompanied by a short paragraph noting and analyzing the source’s main ideas, and how the student
will use the source in the research paper. Each paragraph must be no fewer than 150 words. The
annotated bibliography will be submitted on Blackboard for review. Instructor will evaluate the sources,
assign a grade, and provide commentary and suggestions for the student to consider as they prepare
their draft.
1
Primary sources come from published scientific journals, academic publications, and conference proceedings.
Primary sources are not consumer-facing websites, blogs, or articles from Wikipedia or mainstream consumer
media. Primary sources should be written for a technical audience. Use scientific databases (such as IEEE Xplore) to
locate your primary sources.