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Pennsylvania State University is a top-ranked public research university located in State College, PA. It offers over 160 majors, world-class faculty, and an array of research opportunities.
An introductory video series on finding and using open-source information, from metadata and geospatial intelligence to malware-related OSINT.
Explore how infectious diseases spread and are controlled: pathogens and R0, host immunity, social networks, vaccination and herd immunity, drug resistance evolution, and digital disease surveillance.
Our lives are being disrupted by pandemics, global warming, wars, political chaos, and technological innovations. We must prepare for an unpredictable and unknown future - and this is the goal of the course on Creativity, Innovation and Transformation (…
Learn how dairy herds are managed: cattle genetics and selection indexes, forage and silage production, cow and calf nutrition, reproduction and estrus detection, health and milk quality.
Learn the geodesign process through global case studies and interactive mapping, covering design, decision, and data, computation and collaboration, and cultural context, then outline your own challenge.
This course offers a careful mix of video lectures and interviews, readings, online resources, and exercises to gain both knowledge and practical skills for promoting decent work in global supply chains.
Twelve video lectures covering the material of a STAT 200 statistics course.
Short lectures on linear regression assumptions, hypothesis tests, model comparisons, and selecting multiple regression models.
Experimental design using Latin and Graeco-Latin squares, Plackett–Burman designs, split plots, factorial experiments, ANOVA, and regression.
A compact sequence of four open lectures from Penn State’s STAT 200 statistics course.
Study probability theory: assign and compute probabilities, work with discrete and continuous random variables, joint and conditional distributions, and functions of random variables via moment-generating techniques.
Build a statistics toolbox from theory: derive point estimates, confidence intervals, hypothesis tests, ANOVA, least-squares regression, chi-square and nonparametric tests, plus basic Bayesian methods.
Learn SAS programming basics: manage and manipulate data sets, run exploratory data analysis, and build toward the SAS Version 9 Base Programming Certification Exam.
Extend SAS programming to an intermediate level with data management and manipulation techniques, good programming practices, and preparation for the SAS Version 9 Base Programming Certification Exam.
Extend SAS programming to an advanced level: apply commonly used statistical procedures, manage and manipulate data, and apply good programming practices.
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