Reference no: EM133255374
ITS 836 Data science and big data analytic
During this semester, we reviewed several areas in blockchain, business intelligence, data mining, electronic currency, etc.
Getting closer to your dissertation, you will need to choose a topic in your first dissertation class, DSRT-736, so it is essential to start preparing. This week, let us look at some topics to consider.
Since you have already examined several research articles, another way would be to examine previous dissertations in these areas.
Visit the University of Cumberlands library, go to the Dissertation Database, and locate an interesting topic on one of the concepts we discussed this semester.
Here are some pointers that will help critically evaluate and share some viable topics.
- Is the topic attainable for a first-time dissertation student?
- Is the problem rooted in the literature?
- Is the research empirical, i.e., is there a survey, is there an interview guide, has the data been analyzed via some statistical tool?
- Is there a theoretical model or framework discussed?
Provide a brief overview of the topic, the problem, the research model, and any present findings.
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Defines five process groups
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What benefits do passengers enjoy from using ocean
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What key attributes and behaviours would you look
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How to check a database for any personal data
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Its 836 data science and big data analytic
: During this semester, we reviewed several areas in blockchain, business intelligence, data mining, electronic currency, etc.
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Undertake a fraction of a project
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Major business process reengineering
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Pentest-cybersecurity study road map
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