Course Syllabus
Contact Information
Course Details
For a list of course activities, scroll to the bottom of this page.
Course Prerequisites
This course requires Introduction to Data Analytics. The introductory course covers basic statistics, basic concepts of big data analytics, data transformation, data structure, and data type. There will be some review materials provided for information from previous courses, but it will not be exhaustive.
Course Materials
Textbooks
No textbooks are required. Videos and slides will be provided in Canvas.
Required Software
Required Hardware/Technology
- Windows Operating System is preferred because examples will be demonstrated on Windows.
- Must have administrator privileges to install software if you use your office computer.
- Computing power:
- Recommended 8GB RAM or higher.
- Recommended processor is 2.3 Hz, but minimum 1.8 --- your machine will be slow or can crash while running R.
Grades
Breakdown
| Activity | Description | Percentage |
|---|---|---|
| Quizzes | You will have quizzes regularly to check your understanding of the materials. | 25% |
| Hands-On Exercises | These assignments will require you to apply the learning in the module, and they will act as an assessment of your mastery of the content of the module. | 50% |
| Final Project | Throughout the semester, you will work on a real-world database project. You will submit your project twice: once around midterm time and once during finals week. | 25% |
| Total | 100% |
Scale
| Percentage | Letter Grade | Description |
|---|---|---|
| 90–100% | A | Exceptional performance, exemplary work on all aspects of the assignment. |
| 80–89% | B | Work of good quality on all requirements of the assignment and high quality on some aspects. |
| 70–79% | C | Marginal work that does not meet standards in one or more aspects of the assignment. |
| 60–69% | D | Unsatisfactory work that exhibits multiple problems in meeting requirements of the assignment. |
| Below 60% | F | Failure to meet minimal requirements. |
Note: The Graduate College considers a grade of “D” to be a failing grade in terms of graduate degree credit.
Course Components
Module Overviews
Each module will have an overview page, which will include:
- a brief description of the topics of the module to help you know what to focus on and how it ties to other topics in the course,
- learning objectives to help you know what you are working toward throughout the module,
- and a to-do list to help you manage your time.
Resources
You will be provided with instructional videos to give you the foundational knowledge needed to complete the activities and assessments in the module successfully. You may also need to review websites and articles.
Concept Check Quizzes
On even weeks, you will have a chance to practice your knowledge in a concept check quiz.
Live Sessions
On odd weeks, there will be Live Sessions on Tuesdays from 7:30 PM - 9 PM Central Time. These will include some lecture materials, examples, and opportunities for interaction and collaborative learning. If you are not able to attend live, please watch the recording later.
Hands-On Assignments
Most weeks, students will have a hands-on exercise that the instructor will use to assess their level of mastery over the week’s materials. There will be a few weeks which are only conceptual, so there will not be a hands-on exercise; the focus will instead be on the quiz.
Final Project
At the midterm, you will submit progress on your final project for instructor feedback. At the end of the course, you will submit your full project, showing growth in mastery from instructor feedback and learning throughout the course. This will also show that you can make connections between concepts and apply them to the real world.
Extra Credit Opportunities
Students can earn extra credits by answering questions from peers on Canvas. If your answer significantly enhances the learning of the class, the instructor will email you with the extra credit. The credit usually ranges between 2 and 5 points.
Course Policies
Communication
There is no such thing as perfect communication, especially when dealing with complicated topics like this one. As such, it is natural to have questions. If you have any questions or concerns, you can use one or more of the following methods.
- It is strongly encouraged to use the discussion board on Canvas because the instructor checks the discussion board as frequently as she can. Also, some students are too shy to ask questions, and your posting on the discussion board will benefit other students.
- Students can email on Canvas if they prefer.
- If you need the instructor to see your code on the screen, you can email the instructor for a Zoom meeting request, but it may take one or two days since the instructor has other obligations.
- Students are not allowed to post a code or an answer. If it happens, the instructor will delete the posting.
Feedback
Most assignments will be returned in a one-week turnaround time.
Assignment Submission & Late Work Policy
- All assignments should be submitted via Canvas. No assignment will be accepted via email.
- No assignment should be submitted on the comment box.
- Late work will not be accepted unless there is an unforeseen medical problem or immediate family passing. A detailed explanation for an unforeseen problem should be included in the extension request. If you are granted to submit late for an assignment, it is your responsibility to indicate the week and the name of the assignment.
- You will need to use the screen capture function (Fn + Alt + PrintScrn) or (Windows + shift + s) or other ways to screenshot for your submissions and paste the screenshot into a document. Be sure to press the keys in the correct order. More specific guidelines will be provided in the lecture notes. Most assignments should be in screenshots combined into a single Word document. If you have an Apple computer, take a screenshot using (Command + Shift + 3).
- The screenshots with readable font size should include the code and the output in one page.
- Submissions must not be zipped.
- Any submission failing to follow these guidelines will be returned
Academic Integrity
You are not allowed to post a code or an answer on Canvas. It is a violation of academic integrity.
You can take a quiz once. You are not allowed to copy and paste the answer from
lecture note or anywhere else. If caught, the answer will get a zero (0). The instructor will grade based on the demonstration of the student’s understanding of a question.
Quoted From: http://www.ou.edu/integrity/students. All students are
encouraged to review the OU policy and to discuss any issues or questions
with me.
- Academic integrity means honesty and responsibility in scholarship. Professors have to obey rules of honest scholarship, and so do students. Here are the basic assumptions about academic work at the University of Oklahoma:
- Students attend OU in order to learn and grow.
- Academic assignments exist for the sake of this goal.
- Grades exist to show how fully the goal is attained.
- Thus, all work and all grades should result from the student's own effort to learn and grow. Academic work completed any other way is pointless, and
grades obtained any other way are fraudulent.
- Academic integrity means understanding and respecting these basic truths, without which no university can exist. Academic misconduct -- "cheating" -- is not just "against the rules." It violates the assumptions at the heart of all learning. It destroys the mutual trust and respect that should exist between student and professor. Finally, it is unfair to students who earn their grades honestly.
Plagiarism
Plagiarism is the most common form of academic misconduct at OU. There is basically no college-level assignment that can be satisfactorily completed by copying. OU's basic assumption about writing is that all written assignments show the student's own understanding in the student's own words. That means all writing assignments, in class or out, are assumed to be composed entirely of words generated (not simply found) by the student, except where words written by someone else are specifically marked as such with proper citation. Including other people's words in your paper is helpful when you do it honestly and correctly. When you don't, it's plagiarism.
For more information about plagiarism, watch this video and then take this short course offered by University Libraries.
University Academic Policies and Student Support
Access the University Academic Policies Document.
Course Summary:
| Date | Details | Due |
|---|---|---|