Dsci 5260 Business Process Analytics Spring 2018 class (day/time/place): 6: 30 – 9: 20 pm – tth – blb 005 instructor
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DSCI 5260 Business Process Analytics Spring 2018 CLASS (DAY/TIME/PLACE): 6:30 – 9:20 pm – TTH – BLB 005 INSTRUCTOR: J. L. Dake, Ph.D. OFFICE: BLB 358D E-MAIL: dakej@unt.edu OFFICE PHONE: 940-369-7218 OFFICE HOURS: TTH 2:00-3:00 pm. MW 8:00-9:00 am Other hours by appointment (I am usually around the office so do not be limited by office hours if you need to see me). REQUIRED TEXTS: Pande, Peter S., Neuman, Robert P. & Cavanagh, Roland R., The Six Sigma Way: Team Fieldbook, McGraw Hill, 2002. (Paperback). My abbreviation = SSW OTHER REFERENCES:
In our more digitized world you can of course go to Barnes & Noble or Amazon (for complete disclosure I own stock in neither) and type in 6 Sigma/Process Improvement. Course Outline PLEASE NOTE: “LIFE DOES NOT COME WITH A SYLLABUS”; J. L. Dake, June 1965 Technology has moved along swiftly since the inception of this course and so have the demands on you as students/employees; so this semester we will introduce MS Power BI into the course. We will discuss why this is being done, using that little term you have by now become so familiar with = DATA. We will apply this tool to data analysis, creating a context and forecasting; along with 6 Sigma I need each of you to give some thought re what you want to do/are interested in now and when you leave us (shortly) for a job or graduate school or both. This is a tentative course schedule. We will follow this schedule as much as possible. Deviations will be necessary. It is expected that we will change the order of learning and utilization of time to meet the requirements of our projects where needed to produce results. Class attendance is expected and is a significant component in learning. Class attendance and participation/discussion is also necessary; since you will be doing presentations in class. In the event that you should miss a class, you are still responsible for the material covered, and should make arrangements with classmates to remain current with the class. Assignments remain due on the designated date regardless of class attendance. The course is project-oriented: this requires time management, time flexibility and substantial time commitment. Note that project update presentations will be scheduled along with the material below; in line with the project plans that are developed. We will begin project definition and development on 01/17 (first class). We will invite guests from industry to talk to us. PLEASE NOTE: For every guest speaker that we have in the class; please note 2-3 thoughts from speakers & be prepared to discuss them. The overall concept = We will do analysis and forecasting using data on Master’s programs at UNT; while at the same time learning to use MS power BI to pull in external data that can be helpful in our analysis to set the context of our research or enhance our analyses/outcomes. For MS students we will use teams of 1-2 people. Date/Week (TTH) Topics & Sections in Texts Jan. 17 Discussion of DSCI 4700: (Lean) 6σ SSW: Part 1 = Intro CH. 1-5 pp. 4-70 http://www.learnpython.org/ https://www.tutorialspoint.com/python/index.htm Jan. 24 Define Phase CH. 6 Define the Opportunity pp. 73 – 100 CH. 7-8 Power Tools for Define & Teaming: 101 – 126 Course Plan and Objectives Due (09/05) Jan. 31 Measure Phase CH. 9 Measuring Process Performance: 127 – 159 CH. 10-11 Power Tools for Measure & Guiding: 160 – 196
CH. 12 Analyzing Data & Investigating Causes: 197 – 234 Feb. 14 Analyze Phase CH 13 & 14 Power Tools for Analyze & Team 235 - 285 FEB. 28 BUSINESS CAREER & INTERSHIP FAIR 3:00 – 6:00 PM = UNION = Third Floor FEB. 28 ENGINEERING CAREER & INTERSHIP FAIR 9:00 am – 1:00 pm = DISCOVERY PARK Feb. 21 Improve Phase CH. 15 Improving the Process 286 – 303 CH. 16 & 17 Power Tools for Improve & Team 304 – 340 Feb. 28 Control Phase CH. 18 Control & Process Management 341 – 352 CH. 19 & 20 Power Tools for Control & Team 353 - 372 Mar. 07 6 σ for Design CH. 21 Six Sigma for Process Design 373 – 392 Mar. 12-16 *******SPRING BREAK********* Mar. 21 ****** 6 σ EXAM****** Mar. 28 Excel/SQL Presentations Project Work Apr. 04 Excel/SQL Presentations Projects
Project Work
Project Work Apr. 25 Project Presentations May 02 Project Presentations May 09 Project Presentations ========================================================== Grade Determination Project Results and Presentation 200 Course Plan & Objectives (01/24)* 100 6σ Exam 200 Excel/SQL Presentation 100Experiential Tri-Fold** 100 Python Tutorial Comparison*** 100 Total Points 800
Course average based on all components 90% ≥720 = A 80% ≥640 = B 70% ≥560 = C 60% ≥480 = D Below 60% = F
During this course and develop written materials as required in line with following good project/Six Sigma practices. You will choose and develop a REAL project. Projects teams may be either 1 or 2 people and there is expected to be discernable contribution from each team member. (ie no free rides) The underlying basis for the course is the Six Sigma concept, utilizing the DMAIC methodology and employing the concepts, methodologies and tools you have studied in your previous coursework. Please understand that the issues and problems that you are working on are “real” and real results are expected. I encourage students to think about taking the Six Sigma Certification Exam (either Green Belt or Black Belt); when you can meet the ASQ experience requirements for the exam. This is an opportunity to pull together and utilize the concepts, methodologies and tools you have acquired in other classes in a “live” situation. You should employ other areas of your knowledge; such as data mining, statistics, modeling, process flow analysis, simulation etc. In addition you will be expected to utilize knowledge from functional areas such as accounting, finance, marketing, operations management etc. No two projects are likely to be the same. OTHER INDIVIDUAL REQUIREMENTS You will develop:
Six “elevator speeches” (60 second or less) of the following:
In addition to the above, the class will explore/research new methodologies and tools relevant to Decision Sciences and your projects such as:
Objectives 1. Understand and explain in your own words, the ways in which analysis-based decision support systems are needed and can be utilized in managerial decision processes. 2. Explain how and why analysis techniques are used. 3. Demonstrate project management skills. 4. Have “elevator speeches” as noted above. 5. Compare and contrast different decision structuring techniques and to use these techniques to analyze real-life situations. 6. Provide and introduction to learning and the utilization of Python or R or ? 7. Understand the Lean 6 σ Methodology and be able to explain. 8. Develop and demonstrate documentation and presentation skills. 9. Develop and demonstrate group skills: leadership and group management. 10. Have mastered the skills at the Green Belt Six Sigma level. 11. Identify quality control issues in decision analysis. 12. Utilize statistical software in your projects. 13. Continually improve your ability to define the problem and the context in which you are dealing with in resolving a problem. 14. Understand the need to be and difficulty in becoming creative in making decisions. How does one develop alternative solutions to problems? 15. Demonstrate methods to determine the value of information. 16. Develop your abilities to present your methodology and tools used to analyze problems and solutions. 17. Understand the paradoxes and inconsistencies in making decisions. 18. Deal with data and people that may not be perfect. 19. Demonstrate leadership potential. 20. Develop a continuing intellectual curiosity and desire to learn. 21. With the completion of this course you should be able to have the following in your skill set and on your resume:
We have had feedback from our employers re issues that they would like our students to have competency in: SQL, Excel (pivot tables, v-lookup, macros, functions f(x), solver, analysis tools, etc.) and they have started testing on these areas. So we will use these tools in the course = Class Material Presentations; along with certification. DEPARTMENT & COLLEGE POLICIES 1. To be eligible for enrollment in upper level business courses, students must have satisfied all of the following requirements: a) Students must be in good standing with undergraduate school policies b) Completion of core business courses c) If the student is not from the College of Business Administration, please see instructor with regard to the structuring of projects and analyses. 2. If you wish to register a complaint, you should first dis cuss your complaint with me. If you wish to carry it fur ther, see Dr. Leon Kappleman, ITDS Depart ment Chair, but only after discussing it with me. 3. As a general rule NO MAKE-UP EXAMS. The course grade of "I" is not given except for rare and very unusual emergen cies, as per university guidelines. 4. The University policy on Code of Conduct and Ethics is contained in the Student Guidebook. You are responsible for knowing the information contained in this and all other official University publications. Cheating on a minor assignment (such as homework or daily assignment) would result in a zero for that assignment. Cheating on a major assignment (such as an exam or term paper or take home case presentation) would result in an F in the course and referral of the matter to the Committee on Student Conduct in the office of Vice President for Student Development. 5. Students with Disabilities: The College of Business Administration complies with the Americans with Disabilities Act in making reasonable accommodations for qualified students with disability. If you have an established disability, as defined in the "Act" and would like to request accommodation, please see me as soon as possible. My office hours and office number are at the top of this syllabus. 6. Dates of drop deadlines, final exams, etc., are published in the university catalog and the schedule of classes. Please be sure you keep informed about these dates. 7. This course adheres to the UNT policy on academic integrity. The policy can be found at http://vpaa.unt.edu/academic-integrity.html. NOTES Yüklə 34,71 Kb. Dostları ilə paylaş:
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