MGT 8823 - Wilburn- Syllabus PDF

Preview

Summary

Syllabus, elaborating the details of the class....

Description

SYLLABUS ONLINE MASTER OF SCIENCE IN ANALYTICS MGT 8823: DATA ANALYSIS FOR CONTINUOUS IMPROVEMENT Scheller College of Business Georgia Institute of Technology

PROFESSOR: Dr. James Wilburn, [email protected] TEACHING ASSISTANTS: TBD COURSE PREREQUISITES 

None

COURSE DESCRIPTION Because it is one thing to know how to analyze data and another thing to actually use it to solve problems, the purpose of this course is to show how mastery of data analysis can be applied to the real world. In doing so, we will explore the development of key performance indicators (KPIs) and how to use KPIs to drive improvement in an organization. We will also discuss the four methods of continuous improvement and how data analysis can be leveraged in each method. Because the course weaves examples from both industry and everyday life, what is learned can be directly applied to both your personal and professional lives. In addition to the practical knowledge gained, students will also be shown tools that are outside of the typical analytics course and provided with the knowledge of how to use these tools on their own and in conjunction with the data analysis. Because one must know not only how to analyze data but also how to determine from where the actual data should come, the tools chosen will assist the student in coming up with what to analyze in the first place.

LEARNING OBJECTIVES After taking this course, students should be able to:  Develop and categorize KPIs.  Understand Y f(x).  Identify Y and X variables.  Analyze Y f(x) relationships.  Understand and apply the four methods of continuous improvement.  Utilize Lean and Six Sigma techniques to solve problems.  Apply the DMAIC methodology to solve problems.

TEXTBOOKS/READINGS 1





Required: Lewis, M. (2013). Moneyball: The art of winning an unfair game. New York: W.W. Norton. This book can be purchased from a number of retailers, including Amazon at https://www.amazon.com/Moneyball-Art-Winning-Unfair-Game/dp/0393324818/ref=sr_1_1? ie=UTF8&qid=1541450434&sr=81&keywords=moneyball+book&dpID=5145BRDE16L&preST=_SY291_BO1,204,203,200_Q L40_&dpSrc=srch . Required: Campe, Lee. (2014). Lean Six Sigma: defined correctly. Amazon Digital Services LLC. This book can be purchased from Amazon at https://www.amazon.com/Lean-Six-Sigmadefined-correctly-ebook/dp/B07B9K1ZFH/ref=sr_1_1?ie=UTF8&qid=1541450682&sr=81&keywords=lean+six+sigma+defined+correctly .

SOFTWARE REQUIREMENTS   

MS Office. Excel and PowerPoint will be used in this course. Scanner or Scanning App. For many assignments, you are welcome to draw your response by hand and upload a scan of your drawing. You can use a physical scanner or a scan app (such as Genius Scan, Camscanner, etc.) on your phone. Minitab. Students may want to use the free 30-day trial of Minitab later in the semester. It can be found at www.minitab.com . However, do not register for the free trial until you get to Weeks 11-14.

COMMUNICATION 





Instructor Communication: All communication from your instructor will take place in Canvas. You are expected to check Canvas every day for important course-related information. However, by following the instructions provided in the course, you can also ensure that you do not miss important instructions, announcements, etc. by adjusting your account settings to receive important information directly to your email account or cell phone. For more details, log into the Canvas, enter the course, and see the section entitled “Before You Begin: Instructions for Getting Started.” Content Questions and Help: Because questions can often be addressed for the good of the group, please do not email your questions directly to the instructor. Instead, course and content questions will be addressed on Piazza. Feel free to set your post to private to ask questions about your grade or other issues unique to you. Office Hours. Live office hours will be conducted every week via Blue Jeans. These sessions will be both an opportunity for the instructor to discuss course logistics and content but also an opportunity for you to ask questions. While it is strongly suggested that you participate in these meetings, all sessions will be recorded and archived if you are unable to attend or wish to reference them later. For the meeting schedule, links, and archives, please see the section in your Canvas course entitled “Weekly Videoconferences.”

STUDENT EFFORT 2

Students are expected to devote 10-12 hours per week to complete the course requirements. This guideline encompasses all class activities, including reading the textbook and supplementary resources, watching lesson videos, participating in office hours and forum discussions, completing homework assignments, and studying for exams. Of course, students can spend as much time as necessary but it is important to be careful not to fall behind.

GRADING Category Assignments (15)  4 Blocker Assignment  Moneyball Discussion #1  5S Garage Assignment  Data Collection Plan Assignment  Discrete Data Storyboard Assignment  Continuous Data Storyboard Assignment  Process Assignment  Moneyball Discussion #2  Fishbone Diagram Assignment  Moneyball Discussion #3  FMEA Assignment  Moneyball Discussion #4  Balance Scorecard Assignment  Moneyball Discussion #5  Process Management Assignment Course Project (1)

Percent of Grade 50% (each assignment is weighted equally within this category)

50%

COURSE SCHEDULE Please see Canvas for a copy of the course schedule.

LESSONS Video lessons for this course will be housed on edX. For more details on creating and/or linking your edX account, log into the Canvas, enter the course, and see the section entitled “Before You Begin: Instructions for Getting Started.”

DISCUSSIONS & ASSIGNMENTS

3





Moneyball Discussions: Throughout the semester, you will be asked to reflect on what you have read in Moneyball, make correlations to the content of the course, and post your analysis to a group discussion board. For each discussion, you will be required to post your individual answer to the prompt provided (by Thursday of the week of the discussion) and to reply to one of your classmate’s posts (by Friday of the week of the discussion). Assignments: There are several individual assignments to be submitted. Detailed explanations of each assignment will be posted on the course website. Each assignment should be submitted on Canvas by 11:59 pm on the Sunday it is due. Each assignment must be submitted no later than the deadline. Any submission after this time (regardless of whether it is by minutes, hours, or days) will not be accepted. There is NO GRACE PERIOD for the submission of assignments. Students are responsible for making sure that their individual assignments are submitted in a timely manner according to the course guidelines.

EXAMS & PROJECTS  

Exams: There are no exams in this course. Projects: There is one course project that will ask you to apply what you have learned to a real-world problem. You will be given Weeks 11-14 to complete your project. Detailed information about the project requirements and the due date will be provided on Canvas.

STUDENT HONOR CODE You are responsible for completing your own work. Plagiarism is considered a serious offense. You are not allowed to copy and paste or submit materials created or published by others, as if you created the materials. All materials submitted and posted must be your own original work. All OMS Analytics degree students are expected and required to abide by the letter and the spirit of the Georgia Tech Honor Code. The teaching assistants and I will also abide by these honor codes. I am very serious about this expectation because ethical behavior is extremely important in all facets of life. To review the Georgia Tech Honor Code, please visit http://osi.gatech.edu/content/honor-code . Any OMS Analytics degree student suspected of behavior in violation of the Georgia Tech Honor Code will be referred to Georgia Tech’s Office of Student Integrity.

ACCOMMODATIONS FOR STUDENTS WITH DISABILITIES If you are a student with learning needs that require special accommodation, contact the Office of Disability Services at (404) 894-2563 or http://disabilityservices.gatech.edu/, as soon as possible, to make an appointment to discuss your special needs and to obtain an accommodations letter. Please also e-mail me as soon as possible in order to set up a time to discuss your learning needs.

4...