BULLETIN OF ECS526 SUMMER COURSE:
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      Class notices and news will be posted here.
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            ECS526 SUMMER COURSE OUTLINE:
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Class 1: Introduction; descriptive data analysis (EDA); Probability; 
Statistical Concepts of statistical distributions. Corresponds to Classes 1 
and 2 of the Fall Semester schedule. Readings correspond to Chapters 1 and 2, 
of the Walpole Myers textbook and weeks 1 and 2 for the START sheets (SU red 
booklet): STARTs 1 and 2 of the Readings booklet.

Class 2: Discrete and continuous distributions; transformations. Corresponds 
to Classes 3 and 4 of the Fall Semester Schedule. Readings correspond to Chapter
3, 4 and 5 of W-M textbook and weeks 3 and 4 of the START Sheets readings:
STARTs 3, 4 and 5 of the Readings booklet.

Class 3: CLT; sampling distributions; t, Chi and F distributions; intro to 
confidence intervals (CI) and the use of statistical tables. Material
corresponds to Classes 5 and 6 of the Fall Schedule. Readings correspond to
Chapters 6, 7, and 8 of W-M. START sheets are from week 5 of the Fall
schedule and correspond to No. 6 and 7.

Class 4: Test #1. Will have two parts: one in-class (2 hours, individual work),
and group, take-home part. The test will start at 5:30 pm and end 7:30 pm. 
Then, we will cover confidence intervals (CI) for one and two means and 
for proportions. Readings correspond to Week 6 of Fall Schedule:  Ch. 9 W-M 
and START 11. 

Class 5: Industrial applications of CI and Quality Control; review of midterm 
test. Readings from Class 7 of the Fall Schedule and Chapters 9, 16, 17 of 
W-M (CIs SPC and NonPar). Readings are STARTs 11, 13.

Class 6: Intro to Hypothesis Testing; the one sample case. Corresponds to Class 
8 of Fall and Readings from Chapter 10 of the W-M and STARTs from week 8 of the 
Fall schedule (Nos. 8, 9 and 10). Tests for large and small samples.

Class 7: Hypothesis Testing (end); the two-sample case; non parametrics. 
Corresponds to Class 9 of Fall and Readings from Chapter 10 and 16 of W-M. 
STARTs from week 9 of the Fall schedule (Nos. 10, 11 and 12).

Class 8: take-home test on CI and hypothesis testing topics (Chs 8 through 10).
Followed by the Computer-based group part. In class we will start regression
and ANOVA models and residual analysis. This corresponds to Chs. 11 and 13 of
W-M and Chs. 5-6-7 of Romeu-Grethlein. Final Project in GPSS is handed out.

Class 9: Extensions to regression/ANOVA and residual analysis. Corresponds to
Classes 11 and 12 of Fall Schedule. Readings from Ch. 12 and 13 of W-M and
STARTs corresponding to weeks 10 and 11 (Nos. 14, 16 and 17). Groups should 
start the presentations of their final Projects.

Class 10: Case Studies in regression/ANOVA modeling; delivery of Final Project. 
Readings from Classes 13 and 14 (Chs. 12, 14 of W-M; STARTs No. 18, 19, 20).


Note:
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their course participation at Syracuse University may be used for educational 
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