Project Guidelines

Data-X is an advanced project course.  The skillset learned in this course can be applied to a broad range of industry sectors and applications.  A key part of the course is an open-ended project.  The first 4 weeks are used to generate a story and low-tech demo for a real-world project.  The remaining 8 weeks are used for an agile sprint which results in a demonstration of working project code by the end of the course.

Course Model

course model@4x

The project development is based on the development framework of Innovation Engineering, which includes the story development, execution while learning, innovation behaviors, and leadership.

References

Innovation Engineering Textbook. You can check here for the latest table of contents/reading assignments.

Navigator tool to reinforce inductive learning in the project

Low Tech Demo template deck

Project Modules

 

Project Assignment

Complete assignment by designated time (change).

Reading

Weekly Instructions: Write a ½ to 1 page maximum reflection and/or critique about which concepts from the chapter are most relevant to your project.

P01 Project Introduction Write down 3 ideas a project, 1-3 sentences each. Due within one. Submit will be in a google form here and shared spreadsheet to that everyone can see the concepts submitted. (5 points) SUMMARIZING THE PROBLEM AND INTRODUCING THE SOLUTION and Caviar Case (5 points)
P02 Team Formation 1 Bring the three ideas to class. Allow 10-15 people to pitch project idea for 1 min each. 1 extra participation point per pitch. Remaining time, mingle, share ideas. Form teams. Use Google form to submit your project name, team members, contact information, and keywords that describe your project.  Your project concept may change. THE SOLUTION (5 points)
P03 Team Formation 2 During class, open the Innovation Navigator, make a copy, fill in title page and contact information for each team member, share document with team members, instructors and GSIs. (5 points)
In class, start brainstorming for 30 min. Continue over the next week for open-ended brainstorming, but then converge to a few key requirements for the project.  As needed, collect data by talking to potential users of the project.  The team should come up with a multiple project variations and then select one for implementation.  Summarize your brainstorming in 1 page. Where did you start and end, what did you decide?  Each person on team turn in your brainstorm and convergence summary by next week.  (5 points)
DEVELOPING A BETTER STORY (5 points)
P04 Low Tech Demo Create low tech demo. This is a 5-slide presentation with no code.  It can be up to 10 slides at most.   Insert these slides into your Innovation Navigator just after the title slide.  The team should make one presentation and record it as a video of approximately 5 min. Turn in a link to the slides and the video (which can be embedded on one of the slides) within 1 week.  (10 points) A STEP-BY-STEP GUIDE TO INNOVATION PROJECTS (5 points)
P05 Starting Agile Implementation and Navigator Some teams to present live as case examples. Participation credits for live presentation (5 min) and Q/A (5 min). (2 point extra per person if volunteer) Fill the next 2 pages of the Innovation Navigator which are 1) initial conditions and 2) one of the execution/reflection pages. Send link when finished, within 1 week. (5 points) Create your first Minimal Viable Demo. Be ready to demonstrate it by next week. Case Study: “Starting an Agile Implementation for Technical Delivery” in Appendix.  Quickly review the following section including Data-X project cases.  Summarize main points of Starting an Agile Implementation in 1 paragraph.  Turn in 1 per person, within 1 week.  (5 points)
P06 Minimum Viable Demo Improve your first Minimal Viable Demo. Be ready to demonstrate it. Min Viable Demonstration (10 points)
P07 Project Progress 1 Agile implementation.  Turn in a summary of what is working, what is not working yet, and general reflection in less than one page 5 points.  (When requested, demonstration updates are all 5 points) INNOVATION LEADERSHIP (5 points)
P08 Project Progress 2 Agile implementation. Turn in a summary of what is working, what is not working yet, and general reflection in less than one page 5 points.  (When requested, demonstration updates are all 5 points) CULTURE, MINDSET, AND BEHAVIOR (5 points)
P09 Project Progress 3 and Navigator Record project progress on Innovation Navigator with a new execution/reflection sheet. (5 points).  Agile implementation. Be prepared to demonstrate what you have. (When requested, demonstration updates are all 5 points)
P10 Project Progress 4 Agile implementation. Turn in a summary of what is working, what is not working yet, and general reflection in less than one page 5 points.  Be prepared to demonstrate what you have. (When requested, demonstration updates are all 5 points)
P11 Final Demo Preparation and Navigator Prepare for final demo. Agile implementation. Switch to checklist of remaining action items to get project ready. (5 points)
P12 Final Demo Preparation Prepare for final demo. Agile implementation. Switch to checklist of remaining action items to get project ready. (5 points)

 

Project Final Guidelines

Be prepared to showcase your work during reading week. 

The Team will have to turn in the following:

  • Slides and demo (50 points) graded on
    • 20 points effort
    • 20 points quality in work,
    • 10 points creativity or project or presentation style
  • Code via github link (10 points for code check)
  • The slides should include a reflection of what happened over the journey project and what the team learned. (10 points for reflection)
  • A news write up in 3rd 1-2 paragraphs that tell the news story of what your team created. (5 points)

Individuals should plan to turn in:

  • 360 assessment of contribution of each team member including yourself.
  • Course feedback form and reflection
  • Sign up for Facebook/Linkedin alumni group.

Advisors and Mentor Directory for Data-X

The Data-X course and project brings together students, technical experts, start-up companies, and executives.  Each brings a different perspective to data, algorithms, and scale.