Syllabus: Emerging Information Technologies IDeliverables shown in red. |
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Mtg |
Topics |
Assignments |

1Sat Sep 12 |
Course IntroductionCourse Overview Dissertation Data Teams Choose Presentation Topics: Examples Exercise: "Thinking outside the box" Technology Life Cycle (TLC) and Kurzweil's Lawof Accelerating Returns leading to The Singularity |
Readings:Kurzweil 6 Epochs TED(not req) Did you know? A B C (not req) |

2Sat Oct 3 |
11:30: Intro Pattern Reco & Machine Learning Bayes Decision Theory Simple Bayes kNN Assignment 1: Bayes Decision Theory vs kNN 1:30: Team 1 Presentation: Algorithms
paperDiscuss Algorithms textbook: Chap 1-3 |
Assignment ReferencesTeam Presentation Readings: |

3Sat Oct 31 |
11:30: Regression Analysis Assignment 2: Linear Regression Discussion on Assignment 1 1:30: Dr. Matt Ganis: Social Media Big Data |
Assignment 1Team Presentation Readings: |

4Sat Nov 21 |
11:30: Unsupervised Learning and Clustering In-class Exercise: K-Means Algorithm Assignment 3: K-Means Algorithm Discussion on Assignment 2 1:30: Team 2 Presentation: Wearable ComputingDiscuss Algorithms textbook: Chap 7-10 |
Assignment 2Team Presentation Readings: Algorithms textbook: Chap 7-10 |

5Sat Dec 19 |
11:30: Speaker: Dr. Nwosisi, DPS'08
slides1:30: Team 3 Presentation: Big Data AnalyticsCourse Review + Next Semester Discussion: 3 assignments and Algorithms textbook |
Assignment 3 |