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GEORGE MASON UNIVERSITY Department of Applied-IT, Volgenau School of Engineering

Course Syllabus v2 FINAL

1 Course Overview Notice there are five sections combined into the single course. 2 Distance, 2 Classroom, and 1 P01

sections. Look for differences between these sections in the information below. Thus, Classroom

sections will be conducted to facilitate the Distance Sections.

Course: AIT-622-001/DL1/P01: Big Data Needs Analysis

HAP-622-001/DL1: Heathcare Info Syst Analy/Dsgn Long Title: Determining Needs for Complex Big Data Systems

CRN: 74601, 77365, 75782 81510, 81511

Semester: Fall, 2016

Course Session: Classroom / Distance

Classroom: Tuesday, 4:30-7:10, Innovation Hall 132

Distance:

Week Start: Monday Morning

Week End: Sunday Midnight

Other Scheduled Meetings:

Groups: o Times to be arranged w/ each group

Collaboration Sessions: o See Blackboard Collaborate menu

o Default Collaboration Session: Generic (Default) BB Collaboration Session: 201670 -

Master - AIT-622-P01 / AIT-622-001 / AIT-622-DL1 /

HAP-622-001 / HAP-622-DL1 (Fall 2016) https://mymasonportal.gmu.edu/webapps/bb-

collaborate-bb_bb60/launchSession?course_id=_296716_1&sessionId=5269759

Appointments: Groups or Individual

Virtual or In-person as needed (Virtual same location as above) Credits: 3 Graduate Credit Hours Course Dates: August 29, 2016 – December 20, 2016

2 Instruction Information Instructor: C. Randall (Randy) Howard, Ph. D, PMP, CSM Office Hours: As arranged by groups or individuals

E-mail: choward@gmu.edu Phone: 703-899-3608

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Teaching Assistant: Dina Abdo Hours: As arranged by groups or individuals

E-mail: dabdo@masonlive.gmu.edu

3 Course Description Explores advancing Big Data Systems Engineering methodologies to streamline efforts to gain consensus with regards to system needs among stakeholders that have different perspectives and competing objectives. The course goal is to discover means to deliver results that come

from the rigor of traditional methods, but do so in less time and effort from the stakeholders. Traditional methods establish the foundation to the extensions to non-traditional, streamlining

methods. Principles are explained and demonstrated and students apply those methods and principles to a case study-based project and individual assignments/labs.

The principles in the former version of this class, INFS622, Systems Analysis and Design are repurposed to address the complexities that come from Big Data. The Fall 2014 is the first

running.

4 Nature Of Course Delivery This course is being delivered distance, or online asynchronous, format.

The course is structured around pre-recorded learning units made up of readings, weekly exercises and reflections on your learning and other experiences via on-line discussions.

It is imperative that all students prepare for each session regardless of delivery as laid out in the weekly modules.

We are scheduled to meet “live”, online twice in a conference system that supports

audio/visual communication:

Because online courses do not necessarily have a “fixed” meeting day, our first week

will “start” on Monday, May 16th and officially “finish” on Tuesday, August 16th. I will go over the details of the course schedule during our first week live, online meeting.

At the end of the course in a for group presentations; however, this may be replaced

with an in-person presentation for the whole class.

Additionally, I plan to meet with group members either on campus or virtually. These

meetings are not required, and do not require all members of the groups. These meetings keep teams on pace with the project work. More details as we start.

5 Technology Requirements 1. Well functioning computer with broadband Web access.

2. A computer operating system and web browser certified or at least compatible to support the new Blackboard 9.1: https://mymasonportal.gmu.edu

3. You must forward your Mason email to your primary email account in order to receive urgent notifications from the University or me. Student email accounts are now being outsourced to Microsoft and student emails will have a masonlive.gmu.edu address.

More information for students is at: http://masonlive.gmu.edu/faqs.html

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6 Textbook Rosenblatt, H. J. (2014). Systems analysis and design (10th ed.). Cengage Learning

ISBN-10: 1285171349

ISBN-13: 9781285171340

You will need the CourseMate Bundle to access videos, which means you must have an

“Access Code” explicitly specified. You use the Access Code to access the eBook and CourseMate from BlackBoard. Follow the guide in StudentQuickStartGuide_BlackBoard&CourseMate_GMU7-2014.pdf file found in the

Course Resource Material / Class Orientation Material folder. Do not access this from Cengage site directly. The link needs to be established via

Blackboard’s Publisher Materials per the diagram below using the “Master MindLink CourseMate for Rosenblatt Systems Analysis and Design 10e” link:

7 Harvard Business Review Case Studies You need to get the following case studies from the HBR.org site.

HBR Case study for your respective projects. For Week 4:

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Volkswagen of America: Managing IT Priorities Robert D. Austin; Warren Ritchie; Greggory Garrett

Format: PDF Also Available In: English Hardcopy Black & White Spanish PDF Spanish Hardcopy Black &

White Portuguese PDF Portuguese Hardcopy Black & White List Price: $3.95 Source: Harvard Business School Publication Date: Oct 5, 2005 Product #: 606003-PDF-ENG

Discipline: General Management Length: 19 p, English PDF Revision Date: Jun 14, 2007

8 Learner Outcomes AIT622 is a core-course for the Applied-IT and HAP Informatics programs. Dr. Howard leverages his 30+ years of system engineering, architecture and consulting experience to run heavily mentored group interactions along with industry-relevant lecture material. Students

learn the material, and also know how to apply and connect the artifacts together by semester’s end. The result is a valuable skill that enables the students to “sell” a cohesive

story that greatly increases the chance of acceptance and approval of any proposal or recommendation.

As a result of this course, participants will be able to:

Refine & apply new “translation and “language” skills to mediate between business & technical communities

Develop and defend a business proposal for a technology solution Tools to determine best fit to address the problems and shape solutions

Explain rationale and recommendations to stakeholders Understand and address multiple-perspective ramifications that Big Data challenges

bring to systems engineering

Streamline traditional approaches to accommodate current tolerances for rigorous engineering exercises

9 Prequisites Admission into Applied IT or Health Informatics programs, or by permission of the instructor.

10 Professional Standards The course is designed to meet many of the essential Instructional Design Competencies as

specified by The International Board of Standards for Training, Performance and Instruction (ibstpi ®):

Communicate effectively in visual, oral and written form.

Select and use a variety of techniques for determining instructional content.

Identify and describe target population characteristics.

Analyze the characteristics of existing and emerging technologies and their use in an instructional environment.

Select or modify existing instructional materials or develop original instructional materials.

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Evaluate and assess instruction and its impact.

Provide for the effective implementation of instructional products and programs.

Identify and resolve ethical and legal implications of design in the work place

11 Workload Student success in this course is priority one. We have a great deal to cover in a relatively

short period of time, so please keep on track. The nature of this course is such that playing “catch up” will prove to be extremely challenging. Read the first two bullets on this DE

Experience page: http://masononline.gmu.edu/faqs/ . Expect to log in to this course at least four times a week to work on course materials and participate in the discussions. Our most successful students log in daily for about an hour per day on average. If there is anything you

don’t understand, or if work or personal challenges threaten to derail your progress, please drop me a note via Bb course e-mail as quickly as possible or call me, and we’ll talk. I can

typically respond to you within 48 hours.

There is a great deal of activity that requires you to properly balance your time. The chapter

material referenced in the Learning Activities reflects that you should leverage Publisher Lecture Slides and Book Chapters as you need. You will not be able to absorb the entire book, all of the exercises and case studies.

Also, notice that weeks 3 and 4 have very heavy Learning Activities. Students to need to start on the material before week 3 and we might have spillover into week 5.

12 Course Requirements, Performance-Based Assessment, and Evaluation Criteria

12.1 Requirements

Grade Component Weight Focus

Homework Assignments*

20%

Core tenets in the textbook:

Homework 1 – 5 (25%) questions

Homework 2- 20-25 (75%) questions

Group Project 30%

Application of material in the textbook and lectures

20% presentation

20% team work (as determined by team

member assessments and observations)

30% description completeness

30% technical soundness See delivery dates in schedule below.

Group deliverables are due on Sunday night at midnight of the respective week.

Exam 30% Material discussed in class and through group

projects

Participation+ 20% Participation points weighting:

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50% for Distance section on weekly discussion threads:

o Critical Thinking Discussions o Ethical Discussions

50% For Classroom Sections:

o Attendance & In-class engagement

25% on end-of-semester evaluation

25% on such items as: o Feedback as requested (e.g. info requests,

surveys) o Dialog w/ professor (in person or email)

*NOTE:

Due Dates for individual assignments are on Sunday at midnight of the respective

weeks.

Homework assignments are cumulative as applicable. The first grading vehicle in

each type (e.g., Homework or Exam) is worth 25%, while the second is worth 75%. The two in each type are added together at the end of the semester. For example,

Homework score will be calculated by adding the Homework 1 score to Homework 2 score.

Professor will use Respondus Lockdown Browser and Monitor which requires you to

download and test additional capabilities within your computing environment. Click on the link here for instructions.

Group project deliverables are due on the Sunday night at midnight of the respective weeks.

The stated dates above are tentative, and are subject to change per the progress of the class. See schedule below for details.

12.2 Discussion / Wiki / Blog Rubric (For Distance Sections only)

+Weekly discussion thread details are as follows:

Ethical Challenges:

o Answer the questions presented in “A Question of Ethics” in each chapter of the textbook as designated in the schedule below.

o The weekly discussion chapters align with the textbook chapters and the topics as much as possible, but it is not necessary to read the chapter to address the ethical aspects (i.e., chapters for Ethical Challenges precede

coverage in the lectures in some cases) o No ethical discussion is necessary for weeks that no chapters are

designated; however, the Critical Thinking discussion is still required

Critical Thinking: o Use the textbook’s discussion on Critical Thinking as orientation to the

subject; however, do not use the Critical Thinking Challenges in the chapters for this purpose. You can use the chapters’ challenges to

provoke thoughts though. o For each lecture, answer the following questions:

How is this topic relevant to today’s project needs?

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What considerations must be made for the advent of Big Data?

12.2.1 Weekly Discussion Requirements

The requirements for Weekly Discussions are provided below:

3 Ethical Challenges engaged in over semester

3 Critical Thinking engaged in over semester

o (12 Points, 1 point for coverage, 1 point for completeness for discussion thread)

12 Threads of other students replied to over semester

o (12 Points for 12 complete replies, replies with more than "I agree" or such)

Clearly mark each aspect (e.g. question). For example, For Critical Thinking, make sure you have these questions clearly marked as such (e.g., use as headers):

o How is this topic relevant to today’s project needs?

o What considerations must be made for the advent of Big Data?

Maximum points per thread is 4. Do not “stack” the replies on a given thread. To clarify, this is per thread and not per week. You can earn 8 points on a given week’s

threads.

Grade based on percentage of 24 (i.e., 24 points earns a 100%). For example: o 90% for 21.6 Points o 75% for 18 Points

o 50% for 12 Points o and so on…

12.2.2 Weekly Discussion Guidance

Weekly Discussion requirements are very flexible. You engage in discussion as your schedule allows. Here are some guidelines:

Weekly discussions denote subject matter of the discussion, and do not reflect a due

date.

You are accumulating points throughout the semester.

Discussions will be graded periodically to provide feedback and course correction for future submissions. As I periodically grade the discussions, the My Grades’ “Total

Discussion Points” will reflect “nn / NN”, where nn = points earned and NN = maximum allowable points. Blackboard automatically calculates the “NN” based on the number of threads you have engaged in * 4 (the max number of points / thread).

o Ignore the “ / NN” annotation o All you are concerned with are the “nn” points you earned.

o You can increase the “nn” by replying to more posts if your count is less than 4 in a given thread.

It is recommended that you create discussions and replies during the slower parts of the

semester (e.g. the beginning).

12.2.3 Weekly Discussion Rubric

Discussions will be evaluated against the rubric posted in the class orientation material, and

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provided below:

12.3 Criteria for Evaluation

The instructor will evaluate all assignments.

12.4 Grading Scale

Letter

Grade

Numerical

Range

A+ 97-100

A 92-96

A- 90-91

B+ 88-89

B 82-87

B- 80-81

C+ 78-79

C 72-77

C- 70-71

13 Course Expectations Students will be required to join and/or create accounts on multiple, free, web-based

tools or social networking services specified by the instructor to complete assignments & learning activities. Students understand that portions of their work will take place on the open web and that their profile and other artifacts are open to public discovery, and

agree to sign and submit a release form consenting to this. Students are expected to sign into Cengage’s Engagement Tracking to receive

participation points. Students are required to use system, online, self-help resources, in addition to the

instructor’s resources and peer support to solve problems related to the access,

download, and operation of course Web 2.0 tools to complete assignments.

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Each student is expected to complete all readings and class exercises and contribute to in-depth asynchronous threaded and synchronous discussions as assigned by the

instructor or as part of a class team’s lesson. To enable individualization of the course to the needs of each student (either remedial

or advanced activities), special arrangements on requirements and assignments may be negotiated in writing with the instructor. Revised assignments typically involve direct, extensive involvement in some project related to research or evaluation of a network-

based educational experience that makes use of social software tools. Students missing the due date for an assignment must make immediate arrangements

with the instructor to fulfill that requirement before the next class. The class schedule may change as the course progresses; changes will be posted to

Blackboard Announcements.

14 Mason & Volgenau School OF Engineering Statement Of Expectations Student Expectations

Students are expected to exhibit professional behavior and dispositions. See http://gse.gmu.edu/facultystaffres/profdisp.htm for a listing of these dispositions.

Students must follow the guidelines of the University Honor Code. See http://academicintegrity.gmu.edu/honorcode/ for the full honor code.

Students must follow the university policy for Responsible Use of Computing [See http://universitypolicy.gmu.edu/1301gen.html].

Students with disabilities who seek accommodations in a course must be registered with the George Mason University Office of Disability Services (ODS) and inform their

instructor, in writing, at the beginning of the semester [See http://ods.gmu.edu/].

Students are responsible for the content of university communications sent to their George Mason University email account and are required to check it regularly. All

communication from the university, college, school, and program will be sent to students solely through their Mason email account.

GMU’s Social Media “best practices” guidelines: http://webdev.gmu.edu/Social_Media_Guidelines

15 Campus Resources

The George Mason University Counseling and Psychological Services (CAPS) staff consists of professional counseling and clinical psychologists, social workers, and

counselors who offer a wide range of services (e.g., individual and group counseling, workshops and outreach programs) to enhance students’ personal experience and

academic performance [See http://caps.gmu.edu/].

The George Mason University Writing Center staff provides a variety of resources and services (e.g., tutoring, workshops, writing guides, handbooks) intended to support

students as they work to construct and share knowledge through writing [See http://writingcenter.gmu.edu/

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16 Religious Holidays

A list of religious holidays is available on the University Life Calendar page (http://ulife.gmu.edu/calendar/religious-holiday-calendar/ ). Any student whose religious observance conflicts with a scheduled course activity must contact the Instructor at least 2

weeks in advance of the conflict date in order to make alternative arrangements.

17 Privacy Mason’s privacy policy: http://registrar.gmu.edu/students/privacy/

18 Submissions and Communications All work must be submitted at the scheduled time and place unless prior arrangements are made. Missed reports cannot be made up without these prior arrangements.

All assignments will be graded on correctness as well as style and presentation. Each assignment is due on the announced date before 12 midnight, with the exception of the project

that are due before class begins on presentation day. There will be a 10% penalty per day for late submissions unless otherwise specified.

All submissions’ file names need to indicate student or group names.

a. For individual submissions, use this format:

AIT622_LastName_First_Name_AssignmentName b. For group submissions, questions, etc. for the Professor,

i. CLEARLY mark the subject of the item as w/ AIT622: ATTN TO PROFESSOR: subject (I do not monitor group discussion areas)

ii. Send a follow-up email to the Professor that the item has been posted

iii. For Submissions, use this format: 622_Group#_ArtifactName_State (eg.,Initial, Draft, Final), Version (e.g. #)

iv. Submit on group’s File Exchange area on Blackboard ALL submissions should be in MS Word, unless otherwise specified. In other words, DO NOT

SUBMIT PDF’s – we cannot effectively provide feedback on .PDF’s.

A 10% penalty may be assessed for not following these instructions! NOTE: Also, mark the Subject Line of emails w/ AIT622-section#: Your topic

19 Electronic Devices Laptops are allowed for the purpose of taking notes during class only. Phone usage is

discouraged, and is only allowed in the case of personal or business emergencies. If we suspect that these allowances are being abused, then restrictions will be enforced.

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20 Academic Integrity The integrity of the University community is affected by the individual choices made by each of us. GMU has an Honor Code with clear guidelines regarding academic integrity. Three

fundamental and rather simple principles to follow at all times are that: (1) all work submitted be your own; (2) when using the work or ideas of others, including fellow students, give full

credit through accurate citations; and (3) if you are uncertain about the ground rules on a particular assignment, ask for clarification. No grade is important enough to justify academic misconduct. Plagiarism means using the exact words, opinions, or factual information from

another person without giving the person credit. Writers give credit through accepted documentation styles, such as parenthetical citation, footnotes, or endnotes. Paraphrased

material must also be cited, using MLA or APA format. A simple listing of books or articles is not sufficient. Plagiarism is the equivalent of intellectual robbery and cannot be tolerated in the academic setting. If you have any doubts about what constitutes plagiarism, please see me.

As in many classes, a number of projects in this class are designed to be completed within

your study group. With collaborative work, names of all the participants should appear on the work. Collaborative projects may be divided up so that individual group members complete portions of the whole, provided that group members take sufficient steps to ensure that the

pieces conceptually fit together in the end product. Other projects are designed to be undertaken independently. In the latter case, you may discuss your ideas with others and

conference with peers on drafts of the work; however, it is not appropriate to give your paper to someone else to revise. You are responsible for making certain that there is no question that the work you hand in is your own. If only your name appears on an assignment, your professor

has the right to expect that you have done the work yourself, fully and independently.

GMU is an Honor Code university; please see the Office for Academic Integrity for a full description of the code and the honor committee process. The principle of academic integrity is taken very seriously and violations are treated gravely. What does academic integrity mean in

this course? Essentially this: when you are responsible for a task, you will perform that task. When you rely on someone else’s work in an aspect of the performance of that task, you will

give full credit in the proper, accepted form. Another aspect of academic integrity is the free play of ideas. Vigorous discussion and debate are encouraged in this course, with the firm expectation that all aspects of the class will be conducted with civility and respect for differing

ideas, perspectives, and traditions. When in doubt (of any kind) please ask for guidance and clarification.

It is your responsibility to know and to follow Mason’s policy on academic integrity (http://oai.gmu.edu/honor-code/masons-honor-code/).

The professor utilizes the tools such as SafeAssign (provided as part of Blackboard) to check

assignments against published resources AND other students’ work. To stay safe:

Provide citations for your work – group and individual – even if it is “adapted from”.

Do not work in groups to complete individual work. Do not copy and paste material from the text except for short, pithy definitions that

cannot necessarily be re-worded easily.

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21 Disability Accommodations If you have a documented learning disability or other condition that may affect academic performance you should: 1) make sure this documentation is on file with Office of Disability

Services (SUB I, Rm. 4205; 993-2474;http://ods.gmu.edu) to determine the accommodations you need; and 2) talk with me to discuss your accommodation needs.

If you are a student with a disability and you need academic accommodations, please see me and contact the Office of Disability Services (ODS) at 993-2474, http://ods.gmu.edu. All

academic accommodations must be arranged through the ODS.

If you have a learning or physical difference that may affect your academic work, you will need to furnish appropriate documentation to the Office of Disability Services. If you qualify for accommodation, the ODS staff will give you a form detailing appropriate accommodations for

your instructor. In addition to providing your professors with the appropriate form, please take the initiative to discuss accommodation with them at the beginning of the semester and as

needed during the term. Because of the range of learning differences, faculty members need to learn from you the most effective ways to assist you. If you have contacted the Office of Disability Services and are waiting to hear from a counselor, please tell me.

22 Special Accommodations In the course of a semester, “life happens”. If you have situations, academic or otherwise, impede your ability to fulfill the requirements of this course, please talk to the professor or

assistants. It may require informing my TA or administration as needed so that they can also support you as well. Mason offers a great deal of help in many areas, but we cannot help unless we know.

We cannot lend assistance if we do not know about your situation. We hold your situation in

the strictest of confidence to help you have a successful and growing learning experience.

23 Mason Diversity Statement George Mason University promotes a living and learning environment for outstanding growth and productivity among its students, faculty and staff. Through its curriculum, programs,

policies, procedures, services and resources, Mason strives to maintain a quality environment for work, study and personal growth.

An emphasis upon diversity and inclusion throughout the campus community is essential to achieve these goals. Diversity is broadly defined to include such characteristics as, but not

limited to, race, ethnicity, gender, religion, age, disability, and sexual orientation. Diversity also entails different viewpoints, philosophies, and perspectives. Attention to these aspects of

diversity will help promote a culture of inclusion and belonging, and an environment where diverse opinions, backgrounds and practices have the opportunity to be voiced, heard and respected.

The reflection of Mason’s commitment to diversity and inclusion goes beyond policies and

procedures to focus on behavior at the individual, group and organizational level. The implementation of this commitment to diversity and inclusion is found in all settings, including

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individual work units and groups, student organizations and groups, and classroom settings; it is also found with the delivery of services and activities, including, but not limited to,

curriculum, teaching, events, advising, research, service, and community outreach.

Acknowledging that the attainment of diversity and inclusion are dynamic and continuous processes, and that the larger societal setting has an evolving socio-cultural understanding of diversity and inclusion, Mason seeks to continuously improve its environment. To this end, the

University promotes continuous monitoring and self-assessment regarding diversity. The aim is to incorporate diversity and inclusion within the philosophies and actions of the individual,

group and organization, and to make improvements as needed.

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24 Class Schedule: AIT622 The schedule below is only the initial schedule, but is subject to change per the progress of the class as a whole. The schedule reflected here will not change. The

most recent schedule, with any changes, is reflected in the weekly session spreadsheets in the Rolling Session Plans folder.

Assignments are due on Sunday at midnight (end of week) respective week reflected in the schedule unless otherwise noted.

Week #

Week Start Date

Learning Activities

Assignments (Due on

Sunday Midnight of Week)

0 ASAP (08/28/16)

- Submit Student Information & Requests - Read: o Syllabus

o INFS622 Class & Artifact Overview o Summer_School_Case_Study_v1-3c.docx - Watch Lecture:

o Course Overview Lecture o Group Project Orientation Lecture - Watch Videos: o Video Learning Sessions Welcome from Author

o Video Learning Sessions Introduction

1 08/29/16

- Read:

o Chapter 1 Material o Building Data Science Teams o What is Data Science

o Could data scientist be your next job - Watch Lecture: o Systems Analysis/Design & Big Data (Part 1)

o Systems Analysis/Design & Big Data (Part 2)

Student Information on

Discussion Board: 09/04/16

Respondus Test Due: 09/04/16

Event 08/30/16 Kickoff Session

2 09/05/16

- Read: o TEN#38 Enterprise Architecture as Strategy.pdf + http://www.ies.aust.com/ten/ten38.htm o FSAM Folder Material (Skim vs. read)

o The Art And Practice Of The Learning Organization. Senge, Peter M. . The Fifth Discipline, The Art And Practice Of The Learning Organization. Crown Business, print.

* URL:http://www.infed.org/thinkers/senge.htm * Optional Book: ISBN: 0385517254 o CaLC Modeling Paper - Watch Lecture:

o Traditional Systems Analysis & Design & Extensions (Part 1) o Traditional Systems Analysis & Design & Extensions (Part 2)

GRP: Establish project teams and topics

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Week

#

Week

Start Date Learning Activities

Assignments (Due on Sunday Midnight of

Week)

3 09/12/16

- Read: o Chapter 5 Material o Chapter 6 Material - Watch Videos:

o DFD Symbols and Diagrams o DFD Context Diagrams o DFD Diagram 0

o Decision Tables o Object Modeling o Object-Oriented Terms and Concepts

- Watch Lecture: o Modeling Basics for Class

IND: Homework #1,

Due 09/18/16

4 09/19/16

- Read: o Chapter 2 Material

o Get VW of America Managing IT Priorities HBR Case Study o Chapter 3 Material - Watch Videos: o Financial Tools: Payback Analysis

o Financial Tools: Return on Investment o Financial Tools: Present Value Analysis o Project Management: Work Breakdown Structures

o Project Management: Task Patterns o Project Management: Critical Path Analysis - Watch Lecture: o Planning and Managing the Needs Lecture

o Strategic Planning - VW Case Lecture

GRP: Create Case Study Core

Foundations Strawman

PROF: HW1 Review

5 09/26/16

- Read: o Chapter 4 Material

- Watch Lecture: o Modeling the User Needs

GRP: Solidify Core Artifacts

6 10/03/16

- Read: o The evolving role of data in decision-making.pdf

+ URL: http://www.emc.com/collateral/white-papers/ei-evolving-role-data-decision-making.pdf o Countering Terrorism Through Information Technology.pdf

+ URL: http://information-retr ieval.info/taipale/papers/p36-popp.pdf - Watch Lecture: o Modeling the Operations

GRP: Addt'l Analysis

Artifacts First Draft

10/10/16 No Class

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Week

#

Week

Start Date Learning Activities

Assignments (Due on Sunday Midnight of

Week)

7 10/17/16

- Read: o Chapter 7 Material

- Watch Lecture: o Transition to Design o Presentations Tips & Tricks

8 10/24/16

- Read: o Chapter 8 Material

o Big Data Visualization: 3 Errors To Avoid.pdf + http://www.informationweek.com/big-data/big-data-analytics/big-data-visualization-3-errors-to-avoid/d/d-id/1113294 o The Rise of the Data Artist in Business.pdf

+ http://www.datasciencecentral.com/profiles/blogs/the-rise-of- the-data-ar tist-in-business - Review:

+ Introduction to Data Visualization URL: http://guides.library.duke.edu/vis_types + Text Visualization Browser: A Visual Survey of Text Visualization Techniques URL: http://textvis.lnu.se/

- Watch Video o http://www.ted.com/ta lks/david_mccandless_the_beauty_of_data_visualization - Watch Lecture: o Designing the Interface w/ the User

• GRP: Analysis Artifacts Completed

• IND: Mid-Semester Survey Due 10/30/16

9 10/31/16

- Read: o Chapter 9 Material o Data Modeling 101

+ http://www.agiledata.org/essays/dataModeling101.html - Watch Videos: o Data Design: Entity-Relationship Diagrams o Data Design: First Normal Form

o Data Design: First Normal Form o Data Design: Second Normal Form o Data Design: Third Normal Form

- Watch Lecture: o Traditional Data Modeling

PROF:

o Mid-semester Survey Review

10 11/07/16

- Read: o Data Modeling In The Age Of NoSQL And Big Data.pdf URL: http://www.dataversity.net/data-modeling-age-nosql-big-data/

o data-modeling-for-big-data-zhu-wang.pdf URL: http://www.ca.com/us/~/media/Files/Articles/ca- technology-exchange/data-modeling-for-big-data-zhu-wang.pdf o NoSQL Data Modeling Techniques.pdf URL:

http://highlyscalable.wordpress.com/2012/03/01/nosql-data-modeling- techniques/ - Watch Lecture: o Nimble Data Modeling

IND: Homework #2, Due 11/06/16

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Week

#

Week

Start Date Learning Activities

Assignments (Due on Sunday Midnight of

Week)

11 11/14/16

- Read:

o An Introduction To Domain-Driven Design.pdf URL: http://msdn.microsoft.com/en-us/magazine/dd419654.aspx#id0090128 o Axiomatic Design of SW Systems.pdf

- Watch Video: o DDD: putting the model to work + http://www.infoq.com/presentations/model-to-work-evans

- Watch Lecture: o Domain-centered Design

GRP: Presentation (w/

Design) Strawman

PROF: o HW2 Review o Presentation Prep

o Final Exam Prep

12 11/21/16

- Read: o Chapter 10 Material - Watch Lecture:

o Designing the Infrastructure o Open Items Lecture + Metadata

+ AWS Architecture Lecture + Remaining Principle Review

13 11/28/16

- Read: o Chapter 11 Material o Chapter 12 Material

- Watch Videos: o Structure Charts - Watch Lecture: o Implementing & Maintaining Systems

14 12/05/16 - Watch Lecture:

o Course Wrapup

• GRP: Group Presentations 12/06-7/16 o Live

o Bring hardcopy of presentation o Submit softcopy of

presentation before • IND: Semester Evaluation Due 12/09/16

15 12/12/16

• IND: Final Exam: Due 12/16/16

12/19/16

(est’d) Review Final Exam

- PROF o Final Exam Review