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 08/27
08/29		 1. Introduction to DATA 525    
  1.1 Course outline  
  1.2 Tentative schedule    
  1.3 Topics to be covered    
2 09/03
09/05		 2. Programming Exercise I    
  2.1 Specifications    
  2.2 Web page download    
  2.3 Code sample    
09/03  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. 		   
09/01
Holiday, Labor Day (Monday) — no classes
   
3 09/08
09/10
09/12		 3. Essential Technologies for Exercise Construction    
  3.1 Essential software and tools    
  3.2 Using Linux    
  3.3 Writing HTML scripts    
4 09/15
09/17
09/19		 4. PHP (HyperText Preprocessor)    
  4.1 LAMP    
  4.2 PHP    
  4.3 MySQL    
5 09/22
09/24
09/26		 5. Web Search Services    
  5.1 The World Wide Web    
  5.2 Web page information    
  5.3 Web search methods    
6 09/29
10/01
10/03		 6. Information Retrieval (IR)    
  6.1 Various IR methods    
  6.2 Automatic indexing methods    
  6.3 Data classification and clustering EX I  
7 10/06
10/10		 7. The PageRank Algorithm    
  7.1 Background    
  7.2 The PageRank algorithm    
  7.3 Computing PageRank scores    
10/08
(no class)
Exam I (for both on-campus and on-line students; 6:30pm – 8:30pm (CST), Wednesday)
   
8 10/13
10/15
10/17		 8. Firebase Database    
  8.1 Programming Exercise II    
  8.2 Introduction to Firebase    
  8.3 Using Firebase    
9 10/20
10/22
10/24		 9. TensorFlow    
  9.1 TFJS operations    
  9.2 TFJS models    
  9.3 TFJS visor    
10 10/27
10/29
10/31		 10. A TensorFlow.js Example    
  10.1 Example introduction    
  10.2 Example model    
  10.3 Example training    
11 11/03
11/05
11/07		 11. JavaScript    
  11.1 JavaScript syntax    
  11.2 JavaScript instructions    
  11.3 JavaScript examples    
12 11/10
11/12
11/14		 12. Decision Trees    
  12.1 Background    
  12.2 Measuring impurity    
  12.3 Information gain    
11/14  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 		   
13 11/17
11/21		 13. k-Nearest Neighbors (kNN) Algorithm    
  13.1 Background    
  13.2 kNN for prediction and smoothing    
  13.3 Strengths and weaknesses    
11/19
(no class)
Exam II (for both on-campus and on-line students; 6:30pm – 8:30pm (CST), Wednesday)
   
14 11/24 14. Artificial Neural Networks (ANNs)    
  14.1 Artificial intelligence    
  14.2 Backpropagation    
  14.3 Genann: a minimal ANN    
11/26
11/27
11/28
Holidays, Thanksgiving Break (WeThFr) — no classes
   
15 12/01
12/03
12/05		 15. Data Processing and Management    
  15.1 Data science    
  15.2 Data warehouse    
  15.3 Data fusion EX II  
16 12/08
12/10		 16. Data Mining Concepts    
  16.1 Introduction to data mining    
  16.2 Data mining steps    
  16.3 Data mining techniques    
17 12/17
Final exam (for both on-campus and on-line students; 06:30pm – 08:30pm (CST), Wednesday)
   
18 12/23 Grades posted before noon, Tuesday    






      A system administrator has 2 problems:    

      — dumb users    
      — smart users