(Based on a Fall semester calendar)
| Discussions (30%) |
- Discussions posts involve your critical assessments of course content. As an asynchronous class at the graduate level, my expectations for their quality are high.
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| Labs (20%) |
The course includes four labs that ask you to think critically about big data and its characteristics. The labs are largely non-technical. You are expected to complete all four labs by their due dates. Each lab is worth 5% of your final grade. |
| Data Certification (20%) |
Appreciation of big data includes knowing how to use it. Although this isn’t a technical course, you are required to build competency in data tools that fit your interests and need for future work. You will curate a series of five data courses via GSU’s Research Data Services or an online learning platform to earn a data certification. Ideally these courses help you to develop the big data project proposal that is the final assessment for this course. You must complete all five data courses to earn a certification and credit for this assessment. |
| Big Data Project Proposal (30%) |
Throughout the course you will use the data science process to design a big data project of interest to you. It will start with asking an interesting question and culminate in developing a model using big data to answer the question. As you’ll learn, big data projects are tedious and take time to conduct responsibly. This assessment asks you to design a project, not implement it. As a proposal, you will design the big data project in stages throughout the semester as we cover them in class. Most of the stages will be shared with the class through online discussion posts for peer and instructor feedback. You will complete a proposal of at least five pages, which is worth 30% of your final grade. |
| Late Assignments |
No unexcused late assignments will be accepted without penalty. All deadlines will be posted on iCollege. If you anticipate missing assignment deadline due to a university approved reason, please write me an email ASAP. Excused absences/missed work include legal obligations (jury duty, military orders); religious obligation; death or illness of a student’s immediate family; and illness that is too severe or contagious to attend class/do classwork. All excused absences require written documentation from an authoritative source verifying the absence by date and reason. |
| Withdrawal Policy |
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| Policy on Academic Honesty |
- Review GSU’s policy about cheating, plagiarism, and the repercussions if you do not operate with academic honesty. Note: Lack of knowledge of this policy is not an acceptable defense to any charge of academic dishonesty.
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| Student Code of Conduct |
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