This course will survey the discipline of molecular genetics. Two broad areas will be considered 1) Molecular Biology: DNA replication, transcription, translation, regulation of gene expression in both prokaryotic and eukaryotic systems, and genomics and 2) Genetics: basic Mendelian & molecular genetics.

This course will survey the discipline of molecular genetics. Two broad areas will be considered 1) Molecular Biology: DNA replication, transcription, translation, regulation of gene expression in both prokaryotic and eukaryotic systems, and genomics and 2) Genetics: basic Mendelian & molecular genetics.

This course will survey the discipline of molecular genetics. Two broad areas will be considered 1) Molecular Biology: DNA replication, transcription, translation, regulation of gene expression in both prokaryotic and eukaryotic systems, and genomics and 2) Genetics: basic Mendelian & molecular genetics.

This course will focus on fundamental topics related to the ecological and evolutionary processes driving the transmission of pathogenic microbes among hosts including life-history strategies; evolution of pathogenic traits; the impacts of temporal, spatial and host-trait heterogeneity; and factors causing the emergence of an infectious pathogen. Examples will be drawn from human, wildlife, and plant pathogens to illustrate these ecological and evolutionary topics. Students will learn to develop and apply current ecological and evolutionary theory to infectious microbe research and gain practical experience accessing, interpreting and synthesizing the peer-reviewed scientific literature through a combination of popular and scientific readings, discussion, and lecture.

The goal of this course is to develop a deeper understanding of techniques and concepts used in Computational Biology. The course will strive to focus on a small set of approaches to gain both theoretical and practical understanding of the methods. We will aim to cover practical issues such as programming and the use of programs, as well as theoretical issues such as algorithm design, statistical data analysis, theory of algorithms and statistics. This course WILL NOT provide a broad survey of the field nor teach specific tools but focus on a deep understanding of a small set of topics. We will discuss string algorithms, hidden markov models, dimension reduction, and machine learning (or phylogeny estimation) for biomedical problems.

Introductory probability theory. Principles of statistical methods. Problems of estimation and hypothesis testing in biology and related areas.

This course will cover various mathematical models and tools that are used to study modern biological problems. Mathematical models may be drawn from cell biology, physiology, population genetics, or ecology. Tools in dynamical systems or stochastic processes will be introduced as necessary. No prior knowledge of biology is needed to take this course, but some familiarity with differential equations and probability will be assumed.

Integrative seminar on current biological research for first-year PhD students.

This course focuses on teaching students the Pennsylvania flora, both native and naturalized. Through weekly field trips, students will gain an appreciation for the diversity of plant species and plant communities in PA, and observe and discuss ecological and historical forces that influence plant species occurrences and plant communities. The ability to quickly and accurately identify plants in the field, through both sight identification and the use of a dichotomous key, is the major thrust of this course. Students will also learn how to appropriately collect plant materials for further study/identification in the laboratory and for archiving in an herbarium collection.

This course is designed to introduce the undergraduate student to the structure of tissues at the cellular level and to the way in which those tissues are assembled into organs. This knowledge of structure will be the basis for discussion of tissue and organ function. This course is open to students in the College of Liberal and Professional Studies only.