<p>Topics in supervised and unsupervised learning are covered, including logistic regression, support vector machines, classification trees and nonparametric regression. Model building and feature selection are discussed for these techniques, with a focus on regularization methods, such as lasso and ridge regression, as well as methods for model selection and assessment using cross validation. Cluster analysis and principal components analysis are introduced as examples of unsupervised learning. Same as ASRM 451. 3 undergraduate hours. 4 graduate hours.

Class instruction in contemporary compositional practice at the beginning stages.

<p>Macroscopic mechanical behavior in terms of phenomena at the nanometer and micrometer levels for the three types of engineering materials (metals, ceramics, and polymers) with emphasis on specific materials used in civil engineering -- steel, rocks, clay, portland cement concrete, asphaltic concrete, and wood. Same as TAM 324. Credit is not given for both CEE 300 and either ME 330 or MSE 280. Prerequisite: Completion of Composition I general education requirement; CHEM 104; TAM 251. Students must register for one lab and one lecture section.</p>

<p>This course conducts hands-on workshops for graduate students in biomedical related majors who are interested in learning big data analysis, basic programming and statistical techniques, especially for next generation sequence genomics data. The topics include introduction to linux</p>

This course conducts hands-on workshops for graduate students in biomedical related majors who are interested in learning big data analysis, basic programming and statistical techniques, especially for next generation sequence genomics data. The topics include introduction to linux command line, R programming, NGS data analysis for Whole Genomic Sequencing (WGS), RNA-seq, ChIP-seq, scRNA-seq, ATAC-seq etc. We will also cover how to make scientific figures with Adobe Illustrator.

The aim of the course is to provide the students with a deeper understanding of a variety of biomedical disorders, and the possibilities and limitations of fundamental and translational research environments and tools. Throughout this course they will be taught by basic and translational researchers across the thematic research areas of ZJE (vertical themes) including: ? Infection medicine ? Cancer ? Neuroscience/neuroendocrinology ? Development, stem cells, regeneration & repair ?

Biomedical Disorder 1B

The aim of this course is to provide an overall vision of current biomedical research development. The topic varies from infectious diseases, oncology, regenerative medicine, child health and disease, reproductive medicine and diabetes etc. Each topic will be given a lecture and relevant publication (original paper) analysis. The students will participate once a week classes through all academic year. The taught language is English. This course is only available to students enrolled on the integrated 4-year dual PhD programme.

Biomedical Disorder 2B

Biomedical Genetics 2 aims to investigate the basis of modern human molecular genetics. The course focuses on the development of knowledge and understanding of the organisation of the human genome, and the regulation and function of gene expression. Concepts will be introduced in lectures through evaluation of experimental approaches and genomic technologies used in the analysis of the structure and expression of genes, including in model organisms.