Notre Dame CSE 40647/60647 Fall 2017 - Data Science (Updating)

Week# Date (T/R) Lecture# Topic
1 08-22-17 (T) 1 Introduction [pdf] [notes]
1 08-24-17 (R) 2 Data Processing: Data description [pdf] [notes]
2 08-29-17 (T) 3 Data Processing: Data visualization [pdf] | HW1 out [coming soon]
2 08-31-17 (R) 4 Project introduction [pdf], Project out
3 09-05-17 (T) 5 Data processing: Data cleaning and data integration
3 09-07-17 (R) 6 Data processing: Data reduction and dimension reduction
4 09-12-17 (T) 7 Data cube: Concepts and operations | HW1 due, HW2 out
4 09-14-17 (R) 8 Data cube: Data warehouse and OLAP
5 09-19-17 (T) 9 Frequent pattern mining: Apriori
5 09-21-17 (R) 10 Frequent pattern mining: FP-Growth | HW2 due, HW3 out
6 09-26-17 (T) 11 Frequent pattern mining: Evaluation
6 09-28-17 (R) 12 Frequent pattern mining: Beyond itemset
7 10-03-17 (T) 13 Course review 1, HW3 due
7 10-05-17 (R) - Mid-term exam
8 10-10-17 (T) 14 Classification: Decision tree induction
8 10-12-17 (R) 15 Classification: Naive Bayes | HW4 out
9 10-17-17 (T) - Fall break
9 10-19-17 (R) - Fall break
10 10-24-17 (T) 16 Classification: Evaluation
10 10-26-17 (R) 17 Classification: Ensembles
11 10-31-17 (T) 18 Classification: SVMs
11 11-02-17 (R) 19 Classification: Neural networks
12 11-07-17 (T) 20 Clustering: Concepts
12 11-09-17 (R) 21 Clustering: Partitioning methods | HW4 due, HW5 out
13 11-14-17 (T) 22 Clustering: Kernel-based clustering
13 11-16-17 (R) 23 Clustering: Density-based clustering
14 11-21-17 (T) 24 Clustering: Evaluation
14 11-23-17 (R) - Thanksgiving break
15 11-28-17 (T) 25 Course review 2, HW5 due
15 11-30-17 (R) 26 Course review 3, Project due
16 12-05-17 (T) 27 Project presentation 1
16 12-07-17 (R) 28 Project presentation 2
17 12-12-17 (T) - Final exam