WEEK8-DISCUSSION-Data Science & Big Data Analy

Course: Data Science & Big Data Analy

LATE SUBMISSION WILL NOT BE ACCEPTED BY PROF.

Due Date – 1 day

Discussion Question:  

Reflection     

In the last week of class, we are going to complete a reflection activity.

This discussion topic is to be reflective and will be using your  own words and not a compilation of direct citations from other papers or  sources. You can use citations in your posts, but this discussion  exercise should be about what you have learned through your viewpoint  and not a re-hash of any particular article, topic, or the book.

Items to include in the initial thread: 

• “Interesting Assignments” - What were some of the more interesting assignments to you? 


• “Interesting Readings” - What reading or readings did you find the most interesting and why? “Interesting Readings”


• “Perspective” - How has this course changed your perspective? 


• “Course Feedback” - What topics or activities would you add to the course, or should we focus on some areas more than others?

Prof. Guidelines 

• Provide extensive additional information on the topic


• Explain, define, or analyze the topic in detail


• Share an applicable personal experience


• Provide an outside source (for example, an article from the     University Library) that applies to the topic, along with additional     information about the topic or the source (please cite properly in   APA)


• At least one scholarly source should be used in the initial     discussion thread. Be sure to use information from your readings and     other sources from the UC Library. Use proper citations and  references    in your post.

Reading Assignments     

Ali, A., Latif, S., Qadir, J., Kanhere, S., Singh, J., &  Crowcroft, J. (2019). Blockchain and the Furture of the Internet: A  Comprehensive Review. arxiv.org, 1-21. https://arxiv.org/pdf/1904.00733v1.pdf?



"APA Format" 

https://academicwriter.apa.org/6/ 

"NO PLAGIARISM" 

Plagiarism includes copying and pasting material     from the internet into assignments without properly citing the source     of the material.