2. Course Syllabus and Schedule

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Class Schedule (Fall 2013)

This page provides our tentative class schedule for CS412: An Introduction to Data Warehousing and Data Mining. The schedule will be modified slightly based on the progress of the class.

The video recording of the lecture can be retrieved from https://wiki.engr.illinois.edu/display/ENGRonline/CS412  Class news and discussions at Piazza 

Please check the errata of the textbook draft before you try to identify potential errors in the textbook. Thanks for your careful reading.

Week# Date Lecture# Topic Slides (3rd Ed.) Assignment Out Assignment Due Lecture Notes (3rd ed.)
1 08/27/13 1 Class Outline / Chapter 1: Introduction Chap. 1 Intro. pdf version     Chapter 1. Intro.
1 08/29/13 2 Chapter 2: Know Your Data Chap. 2. Data pdf version     Chapter 2. Know Your Data

2 09/03/13 3 Chapter 2: Know Your Data Chap. 2 Data (continued) Assignment 1 (new and ready on 9/3 at Compass 2g!)   Chapter 2 (Additional Material) (updated on 9/6)
2 09/05/13 4 Chapter 3: Data Preprocessing
Chap. 2 Dat (continued)  / Chap. 3 Preprocessing
pdf version


    Chapter 3. Data Preprocessing
3 09/10/13 5 Chapter 3: Data Preprocessing Chapter 3: Data Preprocessing (continued)      
3 09/12/13 6 Chapter 3: Data Preprocessing Chapter 3: Data Preprocessing (continued)     Chapter 4. Data Warehousing and OLAP
4 09/17/13 7 Chapter 4: Data Warehousing & OLAP Chap. 4. OLAP PDF version      
4 09/19/13 8 Chapter 4: Data Warehousing & OLAP Chap. 4. OLAP (continued) Assignment 2 (new on 9/19 at Compass 2g, due 10/8)
Assignment 1 Due (at 11:59pm 9/19)
5 09/24/13 9 Chapter 5: Data Cube Technology Chap. 5. Cube Tech PDF version      Chapter 5. Data Cube Technology
5 09/26/13 10 Chapter 5: Data Cube Technology Chap. 5. Cube Tech (continued)      
6 10/01/13 11 Chapter 6: Mining Frequent Patterns and Associations: Basic Concepts
Chap. 6. Frequent Pattern Basic
PDF version
    Chapter 6. Mining Frequent Patterns and Associations: Basic Concepts
6 10/03/13 12 Chapter 6: Mining Frequent Patterns and Associations: Basic Concepts
Chap. 6. Frequent Pattern Basic (continued)
 

7 10/08/14 13 Chapter 6: Mining Frequent Patterns and Associations: Basic Concepts Chap. 6. Frequent Pattern Basic (continued)
Assignment 3 (new on Oct. 8)(Programming) Assignment 2 Due  
7 10/10/13 14 Chapter 6: Mining Frequent Patterns and Associations: Basic Concepts
Chap. 7. Frequent Pattern Advanced
PDF version
    Chapter 7 Mining Frequent Patterns and Associations: Advanced Methods
8 10/15/13 15 Chapter 7: Mining Frequent Patterns, Associations: Advanced Methods
Chap. 7. Frequent Pattern Advanced (continued)
(midterm hints
Fall2013_midterm
Additional office hours:
Instructor: 11-12:30pm Wed. Oct. 16 at 2132 SC
TAs:  Siebel 0207 3-4pm and 5-6pm on Wednesday
  Answers_to_some_textbook_questions
8 10/17/13 16 Midterm Exam
Midterm Exam
    In class: 3:30-5:00pm, 10/17 Thursday, 1404 Siebel Center + 2405 Siebel:  Note:   All those whose student ID ended with 1, 2, 3 will be at 2405 SC and all others will be at 1404 SC
9 10/22/13 17 Chapter 7: Mining Frequent Patterns, Associations: Advanced Methods
Chap. 7. Frequent Pattern Advanced (continued)

   
9 10/24/13

18 Chapter 7: Mining Frequent Patterns, Associations: Advanced Methods
Chap. 7. Frequent Pattern Advanced (continued)
    Chapter 7 (additional materials) sequential pattern mining
Chapter 7 (additional materials) graph pattern mining
10 10/29/13 19 Chapter 8: Classification: Basic Concepts Chap. 8. Classification: Basic  
PDF Version
    Chapter 8. Classification: Basic Concepts
10 10/31/13 20 Chapter 8: Classification: Basic Concepts
Chap. 8. Classification: Basic (continued)      
11 11/05/12 21 Chapter 8: Classification: Basic Concepts
Chap. 8. Classification: Basic (continued)
     
11 11/07/13 22 Chapter 8: Classification: Basic Concepts
Chap. 8. Classification: Basic (continued)
Assignment 4 (NEW)
(Programming)
Assignment 3 Due  
12 11/12/13 23 Chapter 9: Classification: Advanced Methods
Chap. 9. Classification: Advanced
PDF version
    Chapter 9. Classification: Advanced Methods
12 11/14/13 24 Chapter 9: Classification: Advanced Methods Chap. 9. Classification: Advanced (continued) Assignment 5 (new on Nov.14 )    
13 11/19/13 
25 Chapter 9: Classification: Advanced Methods
Chap. 9. Classification: Advanced (continued)
     
13 11/21/13 26 Chapter 10: Cluster Analysis: Basic Concepts
Chap. 10. Clustering: Basic
PDF version (updated on 12/11/2013)
    Chapter 10. Cluster analysis: Basic Concepts 
14 11/26/13   Thanksgiving break
No class
     
14 11/28/13   Thanksgiving break
No class
     
15 12/03/13 27 Chapter 10: Cluster Analysis: Basic Concepts
Chap. 10. Clustering: Basic Concepts (continued)    
 
15 12/05/13 28 Chapter 10: Cluster Analysis: Basic Concepts
Chap. 10. Clustering: Basic Concepts (continued)
     
16 12/10/13 29 Chapter 10: Cluster Analysis: Basic Concepts
Chap. 10. Clustering: Basic Concepts (continued)
An early final_exam_set Assignment 4 
and 5 Due
 
16 12/14/13   Research Project Due Date hand-in e-version only

(Hand in the final project)
Additional reading for working on research projects: (not covered in the exam) 
Chapter 13. Trends and Research Frontiers in Data Mining
17 12/19/13 Exam Final Exam  Final exam time: 7-10pm Dec. 19 (new)     Exam Locations: 
If your student UID ends at [0-2]: EVRT-151
If your student UID ends at [3-5]: RAL-116
If your student UID ends at [6-9]: SIEBL-1404
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