Bioinformatics and Genomics, CBMG688Y, provides an overview of some major topics and research areas bioinformatics and genomics, and includes material from basic foundations through advanced concepts. The course consists of readings, lectures, discussions, collaborative learning activities, writing assignments, and exams. The course is co-taught with Professor Najib El-Sayed, and is online for 2020.
Expected learning outcomes: Students should be able to demonstrate knowledge of bioinformatics and genomics. Specifically, to recognize, articulate, differentiate, compare and apply core concepts of bioinformatics and genomics, recall relevant literature to justify arguments, to analyze and interpret data to produce justifiably logical conclusions, and to solve relevant problems in the disciplines.
Molecular Evolution, BSCI471 and BIOL671, cover the field of molecular evolution from basic foundations through advanced concepts. Among the topics covered are patterns and processes of DNA sequence variation, multiple sequence alignment, phylogenetic methods, transposable element dynamics, gene duplication and loss, genome organization. Some relevant concepts from genetics (classical, molecular, population), biochemistry, and phylogenetics will be covered. The course consists of readings, quizzes, lecture presentations, active learning assignments, and exams. The courses are online since 2018.
Expected learning outcomes: Students should be able to demonstrate knowledge of molecular evolution. Specifically, to recognize, articulate, describe, differentiate, compare and apply core concepts of molecular evolution, and interpret data and analytical results to produce justifiably logical conclusions. Additionally, for students in BIOL671, you should be able to select, justify, design, revise and apply molecular evolution concepts in a written research study design of appropriate scientific style; and review, evaluate and assess other research study designs in a critical and constructive manner.
Research Methods and Study Design, DATA698, is among the last courses taken in the Master of Professional Studies in Data Science and Analytics Program. The course is online in 2020.
Expected learning outcomes: Students should be able to compose problem specifications relevant to work environment, create project descriptions, determine data and resource requirements, propose appropriate methods analytical methods, construct research plans; determine reporting requirements appropriate to various employment situations, identify intended audiences and uses, propose supporting documentation, and possibly other outcomes. Includes ethical and legal considerations in data science. Intended to be penultimate course, though the course may be taken concurrently with other courses.