` DCS860A Emerging Information Technologies I - Pace University
Syllabus: Emerging Information Technologies I
Deliverables shown in red.
Mtg     Topics     Assignments
1
Sat
Sep 12
Course Introduction
Course Overview   Dissertation Data
Teams Choose Presentation Topics: Examples
Exercise: "Thinking outside the box"  
Technology Life Cycle (TLC) and Kurzweil's Law
of Accelerating Returns leading to The Singularity

Readings:
  Kurzweil 6 Epochs TED(not req)
  Did you know? A  B  C (not req)
2
Sat
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  paper
Discuss Algorithms textbook: Chap 1-3
Assignment References
Team Presentation Readings:
3
Sat
Oct 31
11:30: Regression Analysis
Assignment 2: Linear Regression
Discussion on Assignment 1

1:30: Dr. Matt Ganis: Social Media Big Data
Assignment 1
Team Presentation Readings:
4
Sat
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 Computing
Discuss Algorithms textbook: Chap 7-10
Assignment 2
Team Presentation Readings:

Algorithms textbook: Chap 7-10
5
Sat
Dec 19
11:30: Speaker: Dr. Nwosisi, DPS'08 slides

1:30: Team 3 Presentation: Big Data Analytics
Course Review + Next Semester
Discussion: 3 assignments and Algorithms textbook
Assignment 3