The featured courses are courses identified as being of particular import or interest to a wide variety of academics or are courses that represent a rare opportunity.
Course #
Course Title
Comments
CJ
8305 (0605)
Advanced Statistical Issues with Criminal Justice Data
This course is offered Spring 2006 in the Department of Criminal Justice and is taught by Dr. Taylor. This course examines the uses of multilevel models (MLMs) in criminal justice and related disciplines. Multilevel models address data nesting, whether that be individuals within neighborhoods, students in schools, employees in organizations, or observations within persons. They permit separating individual from aggregated impacts, or unit-specific, time-varying covariates from random effects due to persons or organizations and, under some circumstances, interactions between lower level and aggregated units. For more information, please go to: http://www.rbtaylor.net/cj605_sp_04_main.htm
CIS
4350 (0350)
Data Mining
This course is offered Spring 2006 by the Department of Computer and Information Science. Data Mining is becoming one of the most important and useful techniques for data analysis used across all disciplines. For more information contact: (215) 204-8450.
CIS
8525 (0525)
Neural Computation
This course is offered Fall 2006 in the Department of Computer and Information Science and is taught by Dr. Zoran Obradovic. This hands-on course is designed to help students construct/use computer programs that utilize Neural Networks, a new a very powerful technique inspired by simulations of the human brain. Dr. Obradovic is Director of the Center for Information Science and Technology at Temple University and is a world authority on solving Bioinformatics, Geoinformation Sciences and Computational Finance problems by virtue of developing and integrating data mining and statistical learning technology for efficient knowledge discovery from large databases. Now Dr. Obradovic will be teaching a course on a topic no one knows better. Don’t miss out on this opportunity. For more information, please go to: http://www.ist.temple.edu/~zoran/teaching/
CIS
8526 (0526)
Machine Learning
This course is offered Spring 2006 in the Department of Computer and Information Science and is taught by Dr. Zoran Obradovic. This hands-on course is designed to help students construct/use computer programs that automatically learn to cluster and classify data. Dr. Obradovic is Director of the Center for Information Science and Technology at Temple University and is a world authority on solving Bioinformatics, Geoinformation Sciences and Computational Finance problems by virtue of developing and integrating data mining and statistical learning technology for efficient knowledge discovery from large databases. Now Dr. Obradovic will be teaching a course on a topic no one knows better. Don’t miss out on this opportunity. For more information, please go to: http://www.ist.temple.edu/~zoran/teaching/cis526_full.htm
ES
3062 (0262)
GUS
5062 (0462)
Fundamentals of GIS
This course is listed in both the Department of Envirnomental Studies and Geography and Urban Studies for the Fall of 2006 and will be taught by our local authorities on GIS; Professors Jeremy Mennis and Kevin Henry. As spacial analysis becomes increasingly important in just about any science, this course offers an opportunity to learn from the experts the very basics of Geographic Information Systems (GIS). For more information about the course, please go to: http://astro.temple.edu/~jmennis/
PH
5002 (0502 )
Biostatistics
This course offered this Fall 2006 by the Department of Public Health is a must for any researcher wishing for a brush-up on their statistics. This will cover all the basic hypothesis testing, regression, and Chi-squared tests you need for basic scientific analysis. The course is taught by the College of Health Professionals resident Biostatistician; Dr. Alex Hanlon. For more information, contact the Public Health department at 215-204-9662.
PSY
8041 (0525)
Factor Analysis and Scaling
This course is offered Spring 2006 in the Department of Psychology and is taught by the father of Structural Equation Modeling himself, Temple’s own Dr. James Arbuckle. Dr. Arbuckle created the original version of AMOS software, which is currently available through SPSS. If you want to know about Structural Equation Modeling or Latent Variable Modeling or Path Analysis, then there is no better course to take than this one. For more information, please contact:
These courses are offered each semester at the undergraduate and graduate levels by the Department of Public Health. The courses are to be taught by Temple's resident Biostatistician Dr. Alex Hanlon and Epidemiologiest Dr. Deborah Nelson. For the first time ever Temple University now offers a Master's Degree in Epidemiology. Congratulations and thanks to the Department of Public Health and theCollege of Health Professionals for this exciting new program, which is yet another way that Temple University is moving swiftly toward the future of Health Care sciences. For more information about either of these courses or the new program, contact the Epidemiology program director Dr. Deborah Nelson at: dnelson@temple.edu
STAT
3501 (0103)
Statistics for Engineers
This course offered by our very own Department of Statistics in Fall 2006 and is specifically designed for Engineers. The course is taught by Dr. Ken Swartz who not only has a degree in Statistics, but Physics as well. So, for the real low-down on statistics from the engineer's perspective, don't miss this course. For more information about the course and the topics covered, contact the statistics department at: 215-204-5083.
STAT
5002 (0403)
Introduction to Biostatistics
This course offered by our very own Department of Statistics in Spring 2006 and is specifically designed for those in the Medical School or Health Professionals. So, if you are aspiring to be a doctor (or are already a doctor and wish to get a brush up on stats) or are in the health care field in general, be sure not to miss this one designed just for you. For more information about the course and the topics covered, contact the statistics department at: 215-204-5083.
STAT
8003 (0503)
Statistical Methods I
This course is offered by our very own Department of Statistics each Fall and is taught by Dr. Richard Heiberger this 2006. Dr. Heiberger is a world authority on Data Display and programming in S-Plus, R, and SAS. His new book on the topic (Heiberger and Holland) has recently been published (Springer) and is the course text. Statistical Methods I is the first part of a year-long, hands-on course for statistics and business majors covering popular topics such as Data Display, ANOVA, Regression, Multiple Regression, Logistic Regression, Time Series, Non- parametric Analysis, Factor Analysis, Descriminant Analysis, Jacknife, and the Bootstrap Method. Students will be programming in S- Plus, R, or SAS to complete assignments. For more information on the book visit: http://astro.temple.edu/%7Ebholland/books.html. For more information about the course visit: http://www.sbm.temple.edu/faculty/rheiberger/
STAT
8004 (0504)
Statistical Methods II
This course is offered by our very own Department of Statistics each Spring and is taught by Dr. Richard Heiberger this 2006. Dr. Heiberger is a world authority on Data Display and programming in S-Plus, R, and SAS. His new book on the topic (Heiberger and Holland) has recently been published (Springer) and is the course text. Statistical Methods II is the second part of a year-long, hands-on course for statistics and business majors covering popular topics such as Multiple Regression, Logistic Regression, Time Series, Non- parametric Analysis, Factor Analysis, Descriminant Analysis, Jacknife, and the Bootstrap Method. Students will be programming in S- Plus, R, or SAS to complete assignments. For more information on the book visit: http://astro.temple.edu/%7Ebholland/books.html. For more information about the course visit: http://www.sbm.temple.edu/faculty/rheiberger/
STAT
9180 (0701)
Topics in Statistical Genetics (working title)
This course offered by our very own Department of Statistics and is taught by Dr. Boris Iglewicz this Spring 2006. Dr. Iglewicz is Director of the Biostatistics Research Center here at Temple University and knows more people from and more about the pharmaceutical industry than just about anyone else on earth. One of two texts: Exploring and Analysis of DNA Microarray and Protein Array Data, by Amaratunga and Cabera, Wiley Interscience. Don’t miss this course. For more information, contact Dr. Iglewicz at: boris.iglewicz@temple.edu.
STAT
9190 (0702)
New Topics in Multivariate Analysis II
This course offered by our very own Department of Statistics and is taught by Dr. Alan Izenman this Spring 2006. Dr. Izenman is Director of the Center for Statistical and Information Science and is an expert in multivariate analysis and the father of Reduced Rank Regression. The course covers topics ranging from Random Forests, Text Database Analysis, Data Mining, and Machine Learning. This second course in a yearlong program features a final project utilizing one of the topics covered in the course. If you want to know about the new innovations in statistics, don’t miss this one. For more information, contact Dr. Izenman at: alan.izenman@temple.edu.
SOC
(0810)
Advanced Statistical Applications
This course offered Spring of 2007 by the Department of Sociology is a real opportunity to apply statistics in complicated applications. Dr. Gene Ericksen is teaching the course on how the use of statistical techniques fits into controversial situations. In other words, how is the debate carried out and to what extent do the arguments actually focus on statistics. The course will include hierarchical modeling (HLM). For more information, contact the professor at: eugene.ericksen@temple.edu
ED PSYCH
(0986)
Introduction to HLM
This course is listed in both the Department of Education and Psychology and is offered this Spring 2007 by Dr. Billie Gastic. This Lab-based course is designed for students who are interested in learning more about the use of multi-level models (MLMs) in education research. Training for use of the popular and new HLM software is provided. For more information about the course, please go to: http://astro.temple.edu/~bgastic/
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