Traditional and molecular methods strategically applied to problems related to microbial biotechnology and environmental microbiology. Ranges from the diversity of microbial life to biodegradation. Seven general areas emphasized: 1) Statistical sampling and site characterization, 2) biomass determination, 3) enrichment techniques, 4) microbial activity measurements, 5) single cell detection in situ, 6) sequence and phylogenetic analysis followed by probe design, and 7) other modern techniques of environmental microbiology.

Do diseases like cancer and diabetes begin in the womb? This course will introduce students to key concepts and emerging concerns in the field of developmental toxicology. Through a combination of lectures and discussions of historical examples and recent research papers, students will learn how the combination of teratogens and critical windows of exposure can result in a spectrum of outcomes ranging from birth defects to diseases that emerge at later life stages.

An introduction to the main concepts of Informatics. There are several "Big Ideas" in computing, including but not limited to abstraction, data and information, algorithms, programming, and analysis of both computational problems and computational artifacts. This class provides an introduction to those ideas and considers some of the ways that those computing principles might be used to solve real world problems. Computer-based assignments are an integral part of this course but no programming knowledge or prior programming experience is expected or required. Not for CS majors.

Mathematical techniques useful in the study of computing and information processing. The mathematical method of definition and proof. Sets, functions, and relations. Combinatorics, probability and probabilistic reasoning. Graphs and trees as models of data and of computational processes. Prerequisite: R1 math skills recommended. Not intended for Computer Science majors - students interested in a majors-level treatment of this material should see COMPSCI 240 and 250, or MATH 455.

An exploration of computer science for first-year CICS students, focusing on a single topic.

An exploration of computer science for first-year CICS students, focusing on a single topic.

An exploration of computer science for first-year CICS students, focusing on a single topic.

An exploration of computer science for first-year CICS students, focusing on a single topic.

An exploration of computer science for first-year CICS students, focusing on a single topic.

An exploration of computer science for first-year CICS students, focusing on a single topic.