Process Modeling and Analysis
This month’s course was Process Modeling and Analysis and month 8 of 12 in the Full Sail Business Intelligence Masters Program with Dr. Shiaw. This months course was full throttle like all the others and lent great new insight in Operational Analysis. We covered various media, case studies, white papers, and course readings to support our understanding and related application to our Capstone company project. The materials provided, instruction given, and discussion response were well organized, interactive, and provided many new examples and strategies to look at for applying to our Capstone and professional life.
The first week of the course focused on developing a new website geared toward the Business Process Modeling and Analysis of our Capstone company and highlighted key course content which uncovered new strategies. These strategies included Operational processes that when implemented effectively, showed greater enhancements for the company and it’s goals for strategic cost reductions, increased sales, and greater competitive initiatives. Key concepts included Modeling and Simulation methods with PML analysis, Fuzzy Logic, Data Models, Monte Carlo, and corresponding terms. You can find out more information regarding the website project here. My Project website was focused on American Eagle Outfitters BPM and Operational Analysis for greater sales and process.
Week two and three continued with learning new terms, concepts, and BPM methods for building additional supporting web pages with our web project and associated company. The course content for this week included BPM paradigms, Calibration, Feedback Effect, and Risk Modeling. M & S methods included Discrete-Event concepts, System Dynamics, and Monte Carlo methods. Week 3 terms and concepts included Decision Analysis, Optimization, Process Improvement, Quality Control, and Problem Structuring.
Finally, week four covered several human factor topics including agent systems, reasoning, rule based models, utility and sensitivity, neural networks, and Markov Chain. Although there is a lot of material to cover each week in these courses; the fast pace and variety of mixed media and readings provides a challenging way to learn new material, process it, and then apply it to course requirements, and our Capstone project. The new concepts also provide applicable relationships to my own professional understanding that I can use in the work place and other business related industry analysis.
Overall, this was a very good course with a variety of topics covered with good sources and supporting media. Dr. Shiaw provided a variety of course content and learning objectives that were critical to enhancing our Capstone Project Milestones. I have fallen behind on the Capstone Milestones and hope to catch up soon. As far as my course milestones and goals; some were met and others were not. I do find, just like industry and agile development, these milestones have changed periodically since when they were first set and are adapting to new requirements and objectives as I progress academically and professionally. I am now looking forward to the next course in Data Visualization and the new tools and strategies for delivering new insights with good visuals that tell a compelling story for various stakeholders in the value chain.