DATA 451: Data Science Capstone I
Winter 2019

Instructors:

• Alexander Dekhtyar, dekhtyar@calpoly.edu, 14-210
• Hunter Glanz , hglanz@calpoly.edu, 25-111

  Office Hours:

  When		Who	Where
  Monday	9:10am - 10:00am	Alex	14-210
  Tuesday	1:10pm - 3:00pm	Alex	14-210
  Wednesday	9:10am - 10:00am	Alex	14-210
  Wednesday	12:10pm - 2:00pm	Hunter	25-111
  Friday	12:10pm - 2:00pm	Hunter	25-111

  Additional appoinments: send email.

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  News and Notes

  • Take the Project preference survey

  Course Materials

  Syllabus	PDF
  Piazza Website	[HERE]
  Jupyter Website	data400.calpolydatascience.org
  Textbook	Joseph M. Williams and Joseph Bizup. Style: Lessons in Clarity and Grace, Pearson.	[12 Edition], [11 Edition], [9 Edition]

  Team Meetings Schedule

  Note: team meetings with customers take place on even weeks.

  Team	Meeting Time
  Sarah Keadle	Mondays, 10:30-11:00am
  MapR	Mondays, 11:30am-12:00pm
  Katya Vasilaki	Wednesdays, 10:30 -11:00am
  Unanimous.AI	Wednesdays, 11:00-11:30am

  Calendar

  Week	Day	Date	What's going on?
  W1	Monday	January 7	Syllabus Dr. Sarah Keadle project presentation
  W1	Wednesday	January 9	Dr. Katya Vasilaki project presentation Unanimous AI project presentation
  W1	Friday	January 11	Lecture: Perceptron Activity: Perceptron Discussion: Data Science Projects
  W2	Monday	January 14	MapR Project presentation Project preference survey Discussion: Requirements Elicitation
  W2	Wednesday	January 16	Teams announced Katya Vasilaky team meeting Unanimous AI team meeting
  W2	Friday	January 18	Discussion: Style Chapter 1 Sarah Keadle team meeting Lecture: Linear Discriminant Analysis
  W3	Wednesday	January 23	Team meetings: 1. Katya Vasilaki 2. Sarah Keadle 3. Unanimous.AI 4. MapR
  W3	Friday	January 25	Team updates: data description presentations Lecture: Linear Discriminant Analysis
  W4	Monday	January 28	10:30am: Sara Keadle team meeting 11:30am: MapR team meeting team work time
  W4	Wednesday	January 30	10:30am: Katya Vasilaki team meeting 11:00am: Unanimous.AI team meeting team work time
  W4	Friday	February 1	Lecture: Support Vector Machines Activity: Support Vector Machines Discussion: Lesson 2 (Williams)
  W5	Monday	February 4	Lecture: Support Vector Machines Team meeting time
  W5	Wednesday	February 6	Team meetings with instructors (all teams)
  W5	Friday	February 8	Lecture: Hidden Markov Models Customer meeting: MapR team
  W6	Monday	February 11	10:30am: Sara Keadle team meeting team work time
  W6	Wednesday	February 13	10:30am: Katya Vasilaki team meeting 11:00am: Unanimous.AI team meeting team work time
  W6	Friday	February 15	Lecture: PCA Discussion: Lesson 3 (Williams)

  Projects

  Report 1	Data	Due: Friday, January 25, 2019	Googledoc	[January 13, 2019]
  End of quarter Presentation		Due: Wednesday, March 13, 2019	Googledoc	[March 1, 2019]
  Mid-Project Report		Due: Wednesday, March 20, 2019	Googledoc	[March 1, 2019]

  Activities

  Assignment 1

  Perceptron

  Due: Wednesdaay, January 16, 2019

  Googledoc

  [January 13, 2019]

  Reading/Writing Practice

  Lesson 1 Assignment	Origins of Unclear Writing	Due: Friday, January 18,2019	Googledoc	[January 13, 2019]
  Lesson 2 Assignment	Correctness	Due: Friday, February 1,2019	Googledoc	[January 25, 2019]
  Lesson 3 Assignment	Action	Due: Friday, February 14,2019	Googledoc	[February 7, 2019]
  Lesson 4 Assignment	Active vs Passive Voice	Due: Friday, March 1, 2019	Googledoc	[February 20, 2019]

  Lecture Notes

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  January 11	Data Science Project Challenges	PDF	[January 11, 2019]
  January 11	Linear Classifiers (Perceptron and SVM)	PDF	[January 11, 2019]
  January 14	Requirements Elicitation for Data Science Projects	PDF	[January 11, 2019]
  February 11	Hidden Markov Models	PDF	[February 20, 2019]
  February 19	Principal Components Analysis	PDF	[February 20, 2019]

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  Other Materials

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  January 6, 2019, dekhtyar at csc.calpoly.edu