Dr Dohm relies on Moodle, a free and open-source software learning management system, to support student learning in his courses.
Courses Dr Dohm currently teaches at Chaminade University include
BI 307 Molecular Biology I Genes and Genetics (3)
Life cycles and meiosis. Mendelian inheritance. Population genetics. Chromosomal and molecular basis of inheritance. Flow of genetic information. Determining structure and function of genes. Mutation and DNA repair systems. Genetic basis of disease, DNA technology.
BI 307L Molecular Biology I Laboratory Genes and Genetics (1)
Laboratory section accompanying BI 307. Concurrent registration in BI 307 required.
BI 308 Molecular Biology II Genomics and Epigenomics (3)
Components and architecture of genomes. Linkage, physical mapping, and DNA sequencing. Comparing genomes of different species. Role of gene expression and gene networks in differentiation and morphogenesis. Role of DNA methylation and chromatin remodeling in regulation of genes. Role of regulatory RNAs in gene expression.
BI 308L Molecular Biology II Laboratory Genomics and Epigenetics (1)
Laboratory section accompanying BI 308. Concurrent registration in BI 308 required.
BI 311 Biostatistics (3)
Lecture course devoted to rigorous grounding in biological statistics, and in the application of statistical models to global health problems. Biostatistics is a lecture and hands-on course designed to provide students with the opportunity to develop statistical reasoning skills appropriate to analyze and implement biological experiments. Exemplars and case studies will be primarily derived from the public health field. Topics include principles of experimental design, sampling and variables, data categories and assumptions of parametric statistics, risk analysis, repeated measures, goodness of fit and contingency table analyses, and the general linear model.
BI 420 Systems Biology (3)
This course will focus on the frontiers of our understanding of the multi-level networks that underlie biological systems. Lecture course reviewing the key concepts of the systems biology approach to ecological, organismal and cellular systems. Contribution of cornerstone technologies such as genomics, bioinformatics, proteomics and metabolomics will be reviewed, along with their computational foundations.