AIT690-001 Class Schedule V0.01: Session 0 Adjustment Schedule Notes: Order is (re-)arranged to facilitate more time to apply the discussion to the project artifacts Project Artifacts w/in Lectures are highlighted in yellow. Schedule WILL change as needed to facilitate learning according to personality & makeup of the Items marked w/ a “[D] party:” indicate a deliverable from the party: listed (e.g., Students, Groups, Professor) Legend: Red: Changed / Changing Items Yellow: Project Artifacts Items are due Pale Blue: Milestones or Events Case Study Time Allowed in Class Version 1.0: Initial Session AIT690-001 Fall 2012 Schedule January 15, 2013 Session # Date Session Themes Session Topics Speakers Learning & Leadership Details Course Foundations 1 Jan 22 Course Overview Introductions Roster & Profiles Genesis of Course Course Overview Students’ Objectives? ---------------------------------- The & “Lab Supplies” Howard Lecture Slides:AIT690-001 Overview.pptx Read-Aheads: Big Data in the US Community 26Dec Large-1 What_is_Data_Science.pdf emc-data-science-study-wp.pdf References in AIT690-001 Overview.pptx Reference: Lecture_Series_I_Material/Gus Hunt Big Data Intelligence Systems Leadership & Operation Executive Lecture Series I.pdf http://isrc.gmu.gmu
2 Jan 29 Metadata vs. Meta-Tagging vs. Data Big Data “So-What” What is Metadata? "Meta-tagging"? What is the difference between Meta-tagging, Metadata and data How can metadata help? (Big-Data Metadata) Sufficiency Principle Howard AIT690-001 So-What, Data vs. Metadata, Big Data Sufficiency.pptx Read-Aheads: for AIT690-001.pdf Big Data Principles of Sufficiency v1-1.pdf Reference: TBS 3 Feb 5 Data Science - Solving Big Data Problems with Applied Statistics types of statistics Major types of problems Applying data science & statistics to solve the problems Incremental Problem Solving (Hypothesis, Implement, Revise) Lab Assignment Forbes [D] Lab Work Assigned Lecture Slides: To be supplied Read-Aheads: To be supplied Reference: To be supplied 4 Feb 12 Big Data Intelligence Landscape Data Basics: What makes data so gnarly? What makes Big Data so challenging? Aiken Mattox Lecture Slides: DMP Appraisal Instructions.key (Aiken) Big Data and Massive Analytics Short Class (Maddox) Read-Aheads: Practicing Data Management - Chapter 6.pdf Reference: “Mythical Man Month” Posted “Sliver Bullet”: To be supplied DM Problems:
5 Feb 19 Pedigree & Lineage (P&L)'s role in Information Sharing Political Architectures How is metadata vital in Information Sharing? Why is Pedigree & Lineage so important? How can metadata (e.g. P&L or traceability) in transitioning from strategy to tactical operations have an important and role? McCormick Lecture Slides: To be supplied Read-Aheads: DNI Material on Info Sharing P&L Slides (To be supplied) References: To be supplied 6 Feb 26 Big, Notional Problem Solving Thinking outside of the box We don't know what we are Leveraging Conflict & "Masterminding" Sagan Lecture Slides: To be supplied Read-Aheads: Conflict material? Sagan's Material Reference To be supplied 7 Mar 5 Big Data Cloud Processing (Small Time) Thinking outside of the box We don't know what we are doing? Leveraging Conflict & "Masterminding" Hughes Lecture Slides: To be supplied Read-Aheads: To be supplied Reference: To be supplied Mar 12 Spring Break
8 Mar 19 Organizational Values and Enterprise Architecture Principles & Techniques Evaluation Criteria Why is Big Data Intelligence a "Wicked Problem"? How can business basics in Engineering & Operations determine the important metadata What is Enterprise Architecture? How do the principles apply? How can we harness uncertainty by dealing w/ the predictable aspects? How can metadata facilitate Risk Mitigation? Howard Lecture Slides: AIT690-001 Wicked Problems, Learning Organization & Decision Making.pptx Read-Aheads: TEN#38 Enterprise Architecture as Strategy.pdf Reference: 9 Mar 26 Mastering the Bureaucracy (Part 1) [Being Understanding purpose and power of bureaucracy How bureaucracy effects choosing metadata should be used? How metadata can facilitate multiple disciplines? Magee Howard Lecture Slides: Big Data Bureaucracy Read-Aheads: To be supplied Reference: To be supplied
13 Apr 23 Data Quality Grasping Data Fitness Measuring Quality Performance & Throughput Course Wrap-up Course Evaluations Howard Lecture Slides: AIT690-001 Data Quality.pptx Read-Aheads: Talburt’s Slides References Get w/ Talburt Reference: Data quality: 14 Apr 30 Case Study Report Day Case reports Team Howard [D] Teams: Case Study Reports & Presentations Lecture Slides: AIT690-001 Wrapup.pptx Read-Aheads: To be supplied Reference: To be supplied 15 May 7 Final Course Reports Extended due to 10/30 Cancellation [D]: Students: Final “Lab” Reports Due