CSCE 4930 Big Data Science (Spring 2016)

CSCE 4930 - Big Data Science
Syllabus

:
DAY DATE TOPIC READ SLIDES ASSIGNMENT
W Jan 20 What's Data Mining All About? (part 1) Ch 1 Ch1.pptx
M Jan 25 What's Data Mining All About? (part 2) Ch 1
W Jan 27 What's Data Mining All About? (part 3) Ch 1
M Feb 1 Inputs: Concepts, Instances, and Attributes Ch 2 Ch2.pptx
W Feb 3 Output: Knowledge Representation Ch 3 Ch3.pptx
M Feb 8 Inferring Rudimentary Rules §4.1 4.1.pptx
W Feb 10 Experimental Design: Overview §5.1,3,4 5.1,3,4.pptx
M Feb 15 Partitioning Data, Training, Validation, Test §5.1,3,4
W Feb 17 Predicting Performance, Comparing DM Schemes §5.2,5 5.2,5.pptx
M Feb 22 Evaluation Metrics, Statistical Modeling NB §5.7,4.2, W W
W Feb 24 Naive Bayes §4.2 4.2 HW1 11:59pm
M Feb 29 Constructing Decision Trees §4.3 4.3.pptx
W Mar 2 Constructing Decision Trees §6.1 6.1.pptx HW2 2:30pm
M Mar 7 Data Cleansing §2.4,7.1,7.5 pptx
W Mar 9 Feature Engineering §7.2 HW3 2:30pm
M Mar 14 Spring Break
W Mar 16 Spring Break
M Mar 21 Midterm review
T Mar 22 H4 9a bonus
W Mar 23 Midterm Study guide
R Mar 24 HW4 11:59pm
M Mar 28 Covering Algorithm and Classification Rules §4.4,6.2 4.4, 6.2 H2-4 grds 9a
W Mar 30 Association Rules §4.5,6.3 4.5, 6.3
M Apr 4 Linear Models §4.6,5.8,
6.4,6.6
4.6, 5.8
M Apr 6 Instance-Based Learning §4.7,6.5 4.7, 6.5
M Apr 11 Clustering §4.8,6.8 4.8, 6.8
W Apr 13 Semi-Supervised and Active Learning §6.9 6.9+AL
M Apr 18 Big Data, Hadoop, YARN YARN YARN
F Apr 22 Big Data, Hadoop, Matrix Ops and Cumulon Cumulon
M Apr 25 Big Data and Ensemble Learning Ch 8 Ensembles
W Apr 27 Big Data, Hadoop and Spark Spark
M May 2 Big Data and Dimensionality Reduction §7.3 PCA,SVD,+
W Apr 27 Big Data Summary
M May 9 1:30-3:30 PM Final Exam