` DCS860A Emerging Information Technologies I - Pace University
Syllabus: Emerging Information Technologies I
Deliverables shown in red.
Mtg     Topics     Assignments
1
Sat
Sep 9
Course Overview   Dissertation Data
Choose Team Presentation Topics   2016 2017a b
Intro Pattern Reco & Machine Learning
Bayes Decision Theory Simplified GMM

Conferences and Proceedings Javid Mike Hilda
Assignment 1: Bayes Decision Theory vs kNN
Time permitting: Discuss textbooks
  Ray Kurzweil: How to Create a Mind
  Technology Life Cycle (TLC) and Kurzweil's Law
of Accelerating Returns leading to The Singularity

  Exercise: "Thinking outside the box"  
Assignment References

Readings:
  Kurzweil 6 Epochs TED(not req)
  Did you know? A  B  C (not req)
2
Sat
Oct 7
11:30-12:30: Dr. Agerwala, Data Mining

1:30: Team 1 Presentation: Tensor Flow
   If time, continue working on Assignment 1
3
Sat
Oct 21
11:30-12:30:
Finding Cassandras to Stop Catastrophes
Regression Analysis
  Assignment 2: Linear Regression
  Discussion on Assignment 1

1:30: Team 2 Presentation: Big Data Tools
   Apache Hadoop Anaconda Apache Spark

Assignment 1
4
Sat
Nov 11
11:30-12:30: Discus IBM Visit
  Talia Gershon: Quantum Computing
    IBM Q experience  The composer  QISKit
    Youtube1  Youtube2
  Michael Peronne: AI Overview
  Hendrik Hamann: Cognitive IoT  link
  Horst Samulowitz: Machine Learning  2  3
  Brian Gaucher: Data, IoT, AI/Cognitive, QC

1:30: Unsupervised Learning and Clustering
In-class Exercise: K-Means Algorithm
Assignment 3: K-Means Algorithm
Discussion on Assignment 2

1:30: Team 3 Presentation:
Assignment 2
5
Sat
Dec 2
11:30-12:30: Speaker TBD

1:30: Course Review + Next Semester
Discussion: 3 assignments and textbook
Assignment 3