Static program analysis is a cornerstone in verifying, optimising, and debugging modern software systems. By evaluating code without executing it, these techniques enable early detection of defects, ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

The problem of computing the variance of a sample of N data points {x i} may be difficult for certain data sets, particularly when N is large and the variance is ...

This paper describes the development of an air mission planning algorithm for the Joint Stochastic Warfare Analysis Research (JSTOCHWAR). The overall problem scope was to develop an algorithm to ...

Do you want to enter the job market as a competitive GIS modeler with programming skills? This course will help you get there. It focuses on the extension of geographic information systems (GIS) ...