The Ohio State University
Department of Statistics
Office: Cockins Hall, Room 305D
Email: schuetter.1@buckeyemail.osu.edu
Spring 2009
Computer Experiments Journal Club
Data Mining & Statistical Learning Group
CSE 630: Survey of Artificial Intelligence I
CSE 767: Applied Use-Case-Driven
Object-Oriented Analysis and Design
STAT 999: Graduate Research
(Multi-Sample DaSpec Clustering)
Research Assistant: NSF-HSD Project
(Joint w/Anthropology & Remote Sensing)
Winter 2009
Computer Experiments Journal Club
Data Mining & Statistical Learning Group
CSE 668: Applied Component-Based Programming
CSE 680: Analysis of Algorithms and Data Structures
STAT 893: Independent Reading Hours
(Data Spectroscopic Clustering)
Research Assistant: NSF-HSD Project
(Joint w/Anthropology & Remote Sensing)
Autumn 2008
Computer Experiments Journal Club
Data Mining & Statistical Learning Group
CSE 502: Object-Oriented Computer Programming
STAT 999: Graduate Research
(Data Spectroscopic Clustering)
Research Assistant: NSF-HSD Project
(Joint w/Anthropology & Remote Sensing)
Summer 2008
STAT 999: Graduate Research
(Data Spectroscopic Clustering)
Research Assistant: NSF-HSD Project
(Joint w/Anthropology & Remote Sensing)
Spring 2008
Data Mining & Statistical Learning Group
STAT 999: Graduate Research
(Data Spectroscopic Clustering)
Winter 2008
Computer Experiments Journal Club
Data Mining & Statistical Learning Group
STAT 760: Elements of Statistical Learning
STAT 882: Multi-Scale Statistical Analysis
STAT 893: Independent Reading Hours
(Cluster Analysis/Image Segmentation)
Autumn 2007
Computer Experiments Journal Club
STAT 761: Non-Parametric Statistics
STAT 833: Statistical Methods for Genetics
STAT 893: Independent Reading Hours
(Information Theory)
Summer 2007
STAT 661: Applied Non-Parametric Statistics
STAT 801: Seminar on Research in Statistics
STAT 893: Independent Reading Hours
(Cluster Analysis/Image Segmentation)
Spring 2007
STAT 764: Order Statistics
STAT 881: Advanced Statistical Learning
STAT 893: Independent Reading Hours
(Cluster Analysis/Image Segmentation)
Winter 2007
STAT 723: Probability Theory II
STAT 832: Applied Probability Models
STAT 893: Independent Reading Hours
(Cluster Analysis/Image Segmentation)
Autumn 2006
Computer Experiments Journal Club
STAT 722: Probability Theory I
STAT 773: Statistical Computing
Summer 2006
STAT 601: Statistical Consulting II
STAT 603: Teaching of Statistics
STAT 665: Discrete Data Analysis
Spring 2006
MATH 549: Real Analysis III
STAT 600: Statistical Consulting I
STAT 656: Applied Multivariate Analysis
STAT 822: Statistical Inference III
Winter 2006
MATH 548: Real Analysis II
PUBH 605: Survival Analysis
STAT 743: Generalized Linear Models
STAT 746: Design and Analysis of Experiments
STAT 821: Statistical Inference II
Autumn 2005
MATH 547: Real Analysis I
STAT 635: Analysis of Time Series
STAT 742: Linear Model Theory
STAT 820: Statistical Inference I
Stat 133: Statistics for the Business Sciences
(Autumn 2007, Winter 2008, Spring 2008)
Math 102: Introduction to Statistics
(Spring Semester 2007, Denison U.)
Courses as Recitation Facilitator
Stat 427: Intro. to Statistics for Engineering I
(Summer 2007)
Stat 428: Intro. to Statistics for Engineering II
(Summer 2007)
Stat 133: Statistics for the Business Sciences
(Autumn 2006, Winter 2007, Spring 2007)
Fun Stuff
Extreme Close-Ups Guessing Game
Lecture by Mikhail Belkin about Data Spectroscopy
Lecture by Luis von Ahn about Human Computation
Games Related to That Lecture:
The ESP Game
Peekaboom
Phetch