ISQS 7000-081,
Advanced Problem Solving with SAS
Spring 2009 Schedule
Weekly meeting:
1-2;30p Friday, classroom (TBD)
Textbooks
Data Preparation for Data Mining Using SAS® Software
(DPDM)
SAS® Programming II (SASII)
SAS® Programming III (SASIII)
Design
and Analysis of Probability Surveys, SAS®
Course Notes (SUPRB)
SAS® Neural Network Modeling (DMNN)
SAS
9.1 Macro Language Reference (MACRO)
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Stage 1: Data
Preparation for Analytics Course Components: ·
Input and output ·
Summarizing data ·
Handling different types of data ·
Data transformations ·
Data processing ·
SAS SQL Deliverables: 1) A summary report of the project 2) A knowledge structure of your learning
process and the suggested structure Note: Two primary instructor-led courses by SAS for the
certificate exam of SAS base programming: SAS Programming 2:
Data Manipulation Techniques SAS self-paced e-learning: SAS
Certification: Base Programming for SAS 9 (Self-Paced e-Learning) For exam candidates with considerable SAS programming
experience, this review course provides a thorough overview of the
programming knowledge representative on the examination. |
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Date |
Days |
Contents |
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Notes |
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Week1 |
Jan 7-9 |
Orientation,
Schedule |
DPDM, SAS II |
Read the materials
and prepare a plan for the learning of this stage |
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Week2 |
Jan12-16 |
SAS Data Step |
DPDM, SAS II |
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Week3 |
Jan 19-23 |
SAS Data Mart |
DPDM, SAS II |
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Week4 |
Jan 26-30 |
SAS Data Mart |
DPDM, SAS II |
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Week5 |
Feb 2-6 |
Presentations |
DPDM, SAS II |
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Stage 2: Simulation
and Data Processing Course Components: ·
Combining data ·
Lookup tables ·
By-group processing and sorting ·
Data storage space control ·
SAS program efficiency improvement ·
Generating SAS Code Using Macros ·
Use of Macro variables ·
Manipulating Macro Variable Values with Macro Functions ·
Macro processing ·
Macro expression ·
Macro quoting ·
Interfacing Macro facilities Deliverables: 1) A summary report of the project 2) A knowledge structure of your learning
process and the suggested structure Note: For those intending to take the certification exam of
advanced SAS programming, SAS provides three primary instructor-led courses
for the exam:
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Date |
Days |
Contents |
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Notes |
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Week6 |
Feb 9-13 |
SASIII, SAS
Macro |
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Week7 |
Feb 16-20 |
SASIII, SAS
Macro |
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Week8 |
Feb 23-27 |
Presentations |
SASIII, SAS
Macro |
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Week9 |
Mar 2-6 |
SASIII, SAS
Macro |
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Week10 |
Mar 9-13 |
SASIII, SAS
Macro |
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Week11 |
Mar 16-20 |
Spring Break |
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Week12 |
Mar 23-27 |
SASIII, SAS
Macro |
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Stage 3: Data Analysis
Programming Course Components: ·
Supervised prediction ·
Network architecture ·
Model training ·
Model complexity ·
Neural Net for predictive
modeling ·
Nonlinear autoregression ·
Simple random sampling ·
Stratified sampling ·
Cluster sampling ·
Handling nonresponse ·
Case studies Deliverables: 1) A summary report of the project 2) A knowledge structure of your learning
process and the suggested structure |
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Date |
Days |
Contents |
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Notes |
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Week13 |
Mar 30-Apr 3 |
DMNN, SUPRB |
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Week14 |
Apr 6-10 |
DMNN, SUPRB |
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Week15 |
Apr 13-17 |
DMNN, SUPRB |
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Week16 |
Apr 20-24 |
DMNN, SUPRB |
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Week17 |
Apr 27-May 1 |
Presentations |
DMNN, SUPRB |
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Week18 |
May 4-8 |
Final Exam |
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