All projects will involve a combination of data analysis, computational modeling, and written/verbal presentations of the work. Students will learn the foundations of network neuroscience analysis and ...

Our work on computational statistical methods include Bayesian inference, functional data analysis, large-scale statistical inference, and non-parametric estimation. Chengchun's research lies in ...

The Computational and Data Enabled Sciences PhD addresses pressing ... by integrating large-scale computing and big data analysis. Through the collaboration of faculty members from departments ...

Our faculty conduct cutting-edge research in both theoretical and applied statistics, and students use computational ... design, and data management – preparing them for high-demand positions in ...

Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...

In addition to an interest in computer modeling and statistical analysis methods, a career in computational ... problems and create simulations that require massive amounts of data. Computational ...

Math is applied to nearly every field and industry, and studying statistics and data analysis prepares students for many opportunities. Our students explore traditional statistical methods as well as ...

Gain Hands-on Experience: Sequence and annotate whole genomes of a variety of organisms using the Illumina MiSeq in the Genomics Lab. Industry Work Experience: Bioinformatics students gain career ...

This course is available on the MSc in Data Science ... principle component analysis, LASSO and graphical LASSO, PageRank, etc. Throughout the course, students will gain practical experience of ...