Biology 201: Cell Function Top
Fall 2013: Section -03, MWF 11:00-11:50 AM, Section -04, MWF 12:00-12:50 PM, Doolan 222
The purpose of this course is to introduce students to the core concepts of cellular biology that needed to succeed in upper-division biology courses. The overall theme for this course is how structure implies function for macromolecules and cells. Course topics include: cellular and sub-cellular structures and functions, DNA and RNA structure and function, protein synthesis and structure, enzyme function, metabolic pathways, and membrane function.
Currents Students: For syllabus and course information login to MyLMU Connect (or via MYLMU).
Previously Offered: Fall semesters 2005-2011.
Biology 367-01 / Computer Science 367-01 / Honors 398-01: Biological Databases Top
Fall 2013: TR 9:25-10:40 AM, Doolan 219
The disciplines of biology and computer science come together in bioinformatics, where computational tools are needed to manage and analyze the flood of data coming from new genomics technologies. Biological databases form a significant part of this young and exciting field. This course introduces students to both the biology and computer science expertise needed to understand, use, and develop biological databases. Biology topics include the fundamentals of genetics, molecular biology, and biochemistry needed to understand the data stored in biological databases, as well as the biotechnologies used to gather these data in a high-throughput fashion. Computer science topics include what biological databases are, why they are important (and needed), and the challenges that arise in compiling them effectively. Biology and computer science lectures on topics that are relevant to biological databases are coupled with hands-on experience with a variety of software packages ranging from bioinformatics utilities to general-purpose database and software development tools. After learning how to use a biological database, students will be asked to build one of their own.
Current Students: Course web site and public wiki
Fall 2010: Course web site, private wiki (enrolled students only), OpenWetWare.org wiki.
Fall 2009: Course web site, private wiki (enrolled students only).
Fall 2008: Course web site, private wiki (enrolled students only).
Biology 368: Bioinformatics Laboratory Top
Next offered: TBA
Bioinformatics is the application of information technology (informatics) to biological data. Informatics is the representation, organization, manipulation, distribution, maintenance, and use of digital information. When applied to biological data, informatics provides databases and analytical tools for answering biological questions. Bioinformatics is inherently interdisciplinary, involving aspects of biology, computer science, mathematics, physics, and chemistry. While computers have been used to analyze biological data since their invention, the need for computational methods has recently exploded due to the huge amounts of data produced by genome sequencing projects and other high-throughput technologies. Bioinformatics techniques are being used to move the field of biology from a “one gene at a time” approach, to the analysis of whole systems. In this course, students will learn current bioinformatics techniques to address systems-level biological questions. Topics include biological databases, sequence alignment and phylogeny, comparative genomics, protein structure prediction, modeling pathways and networks, and the analysis of high-throughput genomic and proteomic data.
Fall 2011: Course website at OpenWetWare.org.
Spring 2010: Course website at OpenWetWare.org.
Fall 2008: Course Google Site (enrolled students only).
Biology 398: Biomathematical Modeling/Mathematics 388: Survey of Biomathematics
Next offered (tentatively): Spring 2015
Introduction to mathematical and statistical concepts closely related to research problems in biology. Biological topics include the structure, function, and regulation of the three major types of cellular pathways: metabolic, signaling, and gene regulatory pathways. Mathematical topics include statistical analysis of biological measurements, dynamic modeling of biological systems, and fitting models to observed data. Students will critically evaluate the primary literature and carry out three major modeling projects throughout the semester.
Spring 2013: Course website at OpenWetWare.org.
Spring 2011: Course website at OpenWetWare.org.
Biology 478: Molecular Biology of the Genome Top
Next offered: Spring 2014
The completion of the Human Genome Project 50 years after Watson and Crick first described the structure of DNA marks a fundamental shift in the way we view ourselves and practice biology. This course will examine the fundamental concepts in molecular biology required to understand the biotechnology that has brought us to the genomics era and beyond. In the laboratory, students will become proficient in the basic techniques of molecular biology and then will get to work with cutting-edge genomics technology. Students will design and carry out a DNA microarray experiment. Students will then use bioinformatics tools to analyze their DNA microarray data and to model biological pathways and networks. By the end of this course, students will be working independently on a research project.
Current Students: For syllabus and course information login to MyLMUConnect (or via MYLMU)
Previously Offered: Fall 2005, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2013.
Honors 240: On the Nature of Things Top
Next offered: TBA
The purpose of this course is to examine the history, philosophy, and nature of scientific discovery, theory, and practice. The completion of the Human Genome Project 50 years after Watson and Crick first described the structure of DNA marks a fundamental shift in the way we view ourselves and in the way biology is practiced. Thus, we will focus on case studies of recent advances in biology, specifically biotechnology and genomics. Ultimately, we will explore the question, “How do I know that I know something?” Furthermore, in the popular media, “the genome is the new soul.” We will explore biological (genetic) determinism in relation to what biologists really know about our genes.
Spring 2009: Google Site (enrolled students only).