Tentative Schedule


Week

Class Topic Due Where
0 0. Computer Career and Data Research & Technologies    
  0.1 A computer career    
  0.2 Data research    
  0.3 Data technologies    
1 08/28
08/30		 1. Introduction to DATA 525    
  1.1 Course introduction  
  1.2 Data life cycle    
  1.3 Topics covered    
2 09/04
09/06		 2. Programmining Exercise I    
  2.1 Specifications    
  2.2 Web page download    
  2.3 Code sample    
09/04  Last day to add a course or drop without record — 100% refund
 Last day to add audit or change to/from audit
 Last day to receive a refund on a dropped class
 Drops after the last day to add will appear on a transcript. 		   
09/02
Holiday, Labor Day (Monday) — no classes
   
3 09/09
09/11
09/13		 3. Essential Technologies for Exercise Construction    
  3.1 Essential software and tools    
  3.2 Using Linux    
  3.3 Writing HTML scripts    
4 09/16
09/18
09/20		 4. PHP (HyperText Preprocessor)    
  4.1 LAMP    
  4.2 PHP    
  4.3 MySQL    
5 09/23
09/25
09/27		 5. Web Search Services    
  5.1 The World Wide Web    
  5.2 Web page information    
  5.3 Web search methods    
6 09/30
10/02
10/04		 6. Information Retrieval (IR)    
  6.1 Various IR methods    
  6.2 Automatic indexing methods    
  6.3 Data classification and clustering EX I  
7 10/07
10/11		 7. The PageRank Algorithm    
  7.1 Background    
  7.2 The PageRank algorithm    
  7.3 Computing PageRank scores    
10/09
Exam I (for both on-campus and on-line students; 6:30pm – 8:30pm, Wednesday)
   
8 10/14
10/16
10/18		 8. Firebase Database    
  8.1 Programmining Exercise II    
  8.2 Introduction to Firebase    
  8.3 Using Firebase    
9 10/21
10/23
10/25		 9. TensorFlow    
  9.1 TFJS operations    
  9.2 TFJS models    
  9.3 TFJS visor    
10 10/28
10/30
11/01		 10. A TensorFlow.js Example    
  10.1 Example introduction    
  10.2 Example model    
  10.3 Example training    
11 11/04
11/06
11/08		 11. JavaScript    
  11.1 JavaScript syntax    
  11.2 JavaScript instructions    
  11.3 JavaScript examples    
12 11/13
11/15		 12. Decision Trees    
  12.1 Background    
  12.2 Measuring impurity    
  12.3 Information gain    
11/15  Last day to change to or from S/U grading
 Last day to change to or from audit grading
 Last day to drop a full-term course or withdraw from school 		   
11/11
Holiday, Veteran’s Day (Monday) — no classes
   
13 11/18
11/22		 13. k-Nearest Neighbors (kNN) Algorithm    
  13.1 Background    
  13.2 kNN for prediction and smoothing    
  13.3 Strengths and weaknesses    
11/20
Exam II (for both on-campus and on-line students; 6:30pm – 8:30pm, Wednesday)
   
14 11/25 14. Artificial Neural Networks (ANNs)    
  14.1 Artificial intelligence    
  14.2 Backpropagation    
  14.3 Genann: a minimal ANN    
11/27
11/28
11/29
Holidays, Thanksgiving Break (WeThFr) — no classes
   
15 12/02
12/04
12/06		 15. Data Processing and Ming    
  15.1 Data science    
  15.2 Data warehouse    
  15.3 Data fusion    
16 12/09
12/11		 16. Data Mining Concepts    
  16.1 Introduction to data mining    
  16.2 Data mining steps    
  16.3 Data mining techniques EX II  
17 12/18
Final exam (for both on-campus and on-line students; 06:30pm – 08:30pm, Wednesday)
   
18 12/24 Grades posted before noon, Tuesday    






      A system administrator has 2 problems:    

      - dumb users    
      - smart users