Course Calendar

Year 2013

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January 2013

04 Friday Introduction to Statistical Modeling (4 weeks)
Practical Rasch Measurement - Core Topics (4 weeks)
Statistics 1 – Probability and Study Design (4 weeks)
18 Friday Decision Trees and Rule-Based Segmentation (4 weeks)
Statistics 3 – ANOVA and Regression (2 weeks)
Missing Data Analysis in Clinical Trials (4 weeks)
25 Friday Visualization in R with ggplot2 (4 weeks)
Biostatistics 1 (4 weeks)

February 2013

01 Friday Introduction to Bayesian Statistics (4 weeks)
08 Friday Statistics 2 – Inference and Association (4 weeks)
15 Friday Introduction to Design of Experiments (4 weeks)
22 Friday Analysis and Sensitivity Analysis for Missing Data (4 weeks)

March 2013

01 Friday Statistics 1 – Probability and Study Design (4 weeks)
Statistics 3 – ANOVA and Regression (4 weeks)
Introduction to R - Data Handling (4 weeks)
22 Friday Adaptive Designs for Clinical Trials (4 weeks)

April 2013

05 Friday Statistics 2 – Inference and Association (4 weeks)
12 Friday Advanced Design of Experiments (4 weeks)
Discrete Choice Modeling and Conjoint Analysis (4 weeks)
Introduction to Quantitative Risk Analysis (4 weeks)
Programming in R (4 weeks)
19 Friday Acceptance Sampling for Quality Control (4 weeks)
26 Friday Advanced Logistic Regression (4 weeks)

May 2013

03 Friday Statistics 1 – Probability and Study Design (4 weeks)
10 Friday Mixed and Heirarchical Linear Models (4 weeks)
Statistics 3 – ANOVA and Regression (4 weeks)
Introduction to R - Data Handling (4 weeks)
17 Friday Financial Risk Modeling (4 weeks)
24 Friday Principal Components and Factor Analysis (4 weeks)
Engineering Statistics (4 weeks)

June 2013

07 Friday Introduction to Statistics 1 AP: Inference for a Single Variables (3 weeks)
Statistics 2 – Inference and Association (4 weeks)
14 Friday Introduction to Assessment and Measurement (4 weeks)
21 Friday An Introduction to Bayesian Hierarchical and Multi-level Models (4 weeks)

July 2013

05 Friday Practical Rasch Measurement - Further Topics (4 weeks)
Statistics 1 – Probability and Study Design (4 weeks)
12 Friday Introduction to Statistics 2 AP: Working with Bivariate Data (3 weeks)
Statistics 3 – ANOVA and Regression (4 weeks)
19 Friday Modeling Longitudinal and Panel Data (4 weeks)
Natural Language Processing (4 weeks)

August 2013

02 Friday Introduction to R - Data Handling (4 weeks)
09 Friday Many-Facet Rasch Measurement (4 weeks)
Statistics 2 – Inference and Association (4 weeks)
30 Friday Sentiment Analysis (3 weeks)

September 2013

06 Friday Statistics 1 – Probability and Study Design (4 weeks)
13 Friday Rasch Applications in Clinical Assessment, Survey Research, and Educational Measurement (4 weeks)
Statistics 3 – ANOVA and Regression (4 weeks)

October 2013

04 Friday Environmental Statistics (1 weeks)
11 Friday Data Mining: Unsupervised Techniques (4 weeks)
Analysis of Survey Data from Complex Sample Designs (4 weeks)
Statistics 2 – Inference and Association (4 weeks)
Ecological and Environmental Sampling (4 weeks)
18 Friday Clinical Trials - Clustering (4 weeks)

November 2013

01 Friday Cluster Analysis (4 weeks)
Statistics 1 – Probability and Study Design (4 weeks)
08 Friday Categorical Data - Applied Modeling (4 weeks)
Introduction to R - Data Handling (4 weeks)
15 Friday Statistics 3 – ANOVA and Regression (4 weeks)
Bayesian Environmental Statistics (4 weeks)

December 2013

13 Friday Spatial Analysis Techniques in R (5 weeks)
Statistics 2 – Inference and Association (4 weeks)

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