After the completion of IDL2 preliminary, the Data Literacy – Evaluating Graphs, Tables, and Charts, and final assignments, you will have developed a memorandum for executives in a fictitious company for which you work. This memorandum will make the case for all new hires to be proficient in probability and statistics, also known as data literate because of its importance to your business. For the full assignment problem statement see IDL 2 Final – Memorandum.
The work you will complete for the preliminary part of the second assignment has two assignment pages: This page and Assignment IDL 2 Data Literacy – Evaluating Graphs, Tables, and Charts. This part of the assignment is worth 10 points and the other is worth 5 points. The Evaluating Graphs, Tables and Charts component discusses 1) the differences and similarities in graphs and charts, 2) the specific function of different graphs and charts, and 3) how to recognize when data is not presented accurately. This part of the assignment is an analysis of the assignment data and a determination of how to use these data to make your case.
Required Reading
The following reading will provide you with input you need to successfully complete this assignment.
- Executives by House, Layton, Livingston & Moseley from The Engineering Communication Manual. This brief chapter introduces how to effectively communicate with Executives.
- Analytics and AI-driven enterprises thrive in the age of with: The culture catalyst by Tim Smith, Ben Stiller, Jim Guszcza, and Tom Davenport from Deloitte Insights. This document contains the data you will use as evidence for your argument that your division will be more profitable if employees are proficient in statistics and probability. Review the assignment template prior to reading this. (It is a document that Deloitte makes publicly available.)
Assignment Elements
Element 1: Preparation
Prior to proceeding with the next step completeAssignment IDL 2 Data Literacy – Evaluating Graphs, Tables, and Charts
Element 2: Download and Review Assignment
Download the attached assignment template and review what you will need to complete.
Element 3: Review the Assigned Data Document and Complete Template
Review Analytics and AI-driven enterprises thrive in the age of with: The culture catalyst keeping in mind what you need to identify from it for the assignment. As you will be using data from the text, graphs, and charts, you may find it helpful to highlight the information that you believe is important. Complete the provided template. For answers that require more than one or two words or numbers, you must use your own words. The last element of the assignment will require you to have read Executives.
You will share what you found in small teams during workshop 4, where you will help each other hone your thinking on what the data are, tell you, and utility for making the argument you will make for the final phase of this work.
Assignment Deliverable, Due Date, Questions, and Submittal
Deliverable: Use the provided assignment template for your assignment.
No quotations and no plagiarism will be allowed in this assignment – Quotations are rarely used in professional engineering and computer science writing; do not get in the habit of doing this. Ethically completed work must have at its core your own thinking built upon credible knowledge of experts that proceeded you. Also unacceptable is:
- Using the words of others without quotation marks and in-text citations
- Using the words of others, but reorganizing the sentence structure (This is a form of plagiarism called inappropriate paraphrasing.)
- Using the words of others, but changing a few words in each sentence (This is a form of plagiarism called inappropriate paraphrasing.)
The words in your document must represent your own thinking, based on the information you have gathered. Citing credible sources from which you got ideas gives you credibility and it is required in this work. If you want to be sure you are clear on what constitutes plagiarism review the USF Avoiding Plagiarism page.
Due: March 6, 2023, 11:59 pm (EST)
This assignment will close on March 7, 2023, at 11:59 pm (EST). This provides you an hour to address any uploading issues. Any assignments submitted after 10:00 but before the assignment closes will be marked late and lose 10% of your earned grade.
No late assignments without a documentedUniversity-allowed excuse will be accepted.
Assignment Questions: direct assignment questions to Dr. Gobes-Ryan through Canvas messages or during office hours (see link on “Meet Your Instructor” in the “Getting Started” Module). Do not send the TAs or other professors these questions.
Grading Questions: You must schedule an appointment with Dr. Gobes-Ryan. Use the MS Bookings link on the “Meeting Your Instructor” page on the “Getting Started” Module. If office hours conflict with your class or work schedule, send a message on Canvas messages including your available times during work hours or early evening for several days. Do not send the TAs or other professors these questions. Remember this must be completed within two weeks of grades being released.
Submittal: All assignments MUST be uploaded to Canvas as a Word document or a PDF. After submitting your assignment check to see that it uploaded and that the document you uploaded is your completed assignment. Resubmittals after the assignment closes are not accepted. Assignments provided by Canvas message or by email are not considered submitted as they are not in the correct location for grading.
Grading: The grading for this assignment is based on attempted completion of the assignment and accurately answering questions on the data source. Bring any questions or concerns you have about the work to the IDL Workshop 4; these questions are important for completing the IDL Final assignment. The work you complete in Workshop 4 along with any questions you ask based on this work constitute the feedback for this assignment.