CSIS 657 - Statistical Analysis and Data Mining

CSIS 657 Discussion Board Forums (4)

Discussion boards are collaborative learning experiences. Therefore, the student is required to create a thread in response to the provided prompt for each forum. Each thread must be 400–500 words and demonstrate course-related knowledge. In addition to the thread, the student is required to reply to the threads of at least 2 classmates. Each reply must be 200–300 words. Each thread and reply must include at least 2 scholarly sources other than the Reading & Study material and 2 contextually appropriate scriptural references. Each thread and reply must follow current APA format.

CSIS 657 Tutorials (7)

The student will complete practical exercises (tutorials) designed to (1) create experience with the software used in the course, (2) provide real-world examples of problems facing a variety of business sectors, (3) build understanding of how to methodically approach solving a data mining hypothesis, and (4) foster a greater understanding of the potential value of corporate data and the impact of big data.

CSIS 657 Quizzes (4)

The student will complete four short answer quizzes based on readings and lecture presentations. Quizzes are open book/open notes and must be completed in one hour.

CSIS 657 Project

The student will incorporate all aspects of the course into an integrated holistic project on data mining. This effort will follow the scientific method outlined in the course textbook and be completed in the following phases. Prior to beginning the project, the student will submit a 2-page summary of the issue being addressed.

Phase I

The student will submit a paper of at least 5 pages that outlines the problem, identifies the sources of data, and explains the student’s initial hypothesis. The paper must be in current APA style and include at least 8 scholarly sources other than the course textbook.

Phase II

The student will submit a 5–8-page paper that outlines the processes implemented for collecting and preparing the data for examination. This phase must be a natural continuation of Phase I, describing in detail how the student prepared the data sets used as well as the analytics selected and reasoning for those selections. Identification of key variables and significant descriptive statistics must be included. The paper must be in current APA style and include at least 8 scholarly sources other than the course textbook.

Phase III

The student will submit a paper of at least 5 pages that builds off the work conducted in Phases I and II. The submitted document will be comprehensive and include the findings, analysis, and next steps recommended as a result of the information generated by the data mining model(s) utilized. The student’s analysis of the data must be presented in a manner that would be appropriate for repeatability by a fellow data miner. The paper must be in current APA style and include at least 5 scholarly sources other than the course textbook.

Phase IV

The student will create a persuasive slide presentation for the purpose of communicating the project (Phases I–III) and the recommendations coming out of this effort. The target audience for this information must be consistent with C-level management and other organization decision makers. Details might include cost, schedule, impact, implementation planning, change management issues, risks, benefits, etc. This presentation must include at least 15 slides. The student will also finalize the report coming from the work from Phases I–III into a cohesive product. The report must be at least 15 pages. The paper must be in current APA style and include at least 10 scholarly sources other than the course textbook.