1 - 10 of 69 results for: BIOE

Principles of statistical physics, thermodynamics, and kinetics with applications to molecular biology. Topics include entropy, temperature, chemical forces, enzyme kinetics, free energy and its uses, self assembly, cooperative transitions in macromolecules, molecular machines, feedback, and accurate replication. Prerequisites: MATH 41, 42; CHEM 31A, B (or 31X); strongly recommended: PHYSICS 41, CME 100 or MATH 51, and CME 106; or instructor approval. Winter, Instructor: D. Fisher

Principles of transport, continuum mechanics, and fluids, with applications to cell biology. Topics include random walks, diffusion, Langevin dynamics, transport theory, low Reynolds number flow, and beam theory, with applications including quantitative models of protein trafficking in the cell, mechanics of the cell cytoskeleton, the effects of molecular noise in development, the electromagnetics of nerve impulses, and an introduction to cardiovascular fluid flow. Prerequisites: CHEM 31A, B (or 31X), CME 100 or MATH 51, CS 106A, and PHYSICS 41; strongly recommended: CME 106; or instructor approval. 4 units, Spr (Huang, K)

Introduction to next-generation techniques in genetic, molecular, biochemical, and cellular engineering. Lab modules build upon current research including: gene and genome engineering via decoupled design and construction of genetic material; component engineering focusing on molecular design and quantitative analysis of experiments; device and system engineering using abstracted genetically encoded objects; and product development based on useful applications of biological technologies. Limited enrollment. Priority given to majors.

Innovative new sequencing technologies are permitting the generation of massive amounts of sequence data and changing the way we think about and pursue biological questions. Coupled to these opportunities are tremendous challenges for biologists to grapple with the manipulation and analysis of large datasets and to address quantitative questions on a systems scale. The goal of this course is to provide biologists with basic computational tools and knowledge to confront large datasets in a quantitative manner. Students will learn basic programming skills in Matlab and Perl. Covered material will include: image analysis, bioinformatics algorithms, reaction-diffusion modeling, Monte Carlo algorithms, and population dynamics. Students will apply computational skills to a miniature research project studying the human microbiome or biofuel-related photosynthetic microbial communities. Spr 2012, (Huang, K., Sonnenburg, J., and Vora, T.)

Fundamental human anatomy, spanning major body systems and tissues including nerve, muscle, bone, cardiovascular, respiratory, gastrointestinal, and renal systems. Explore intricacies of structure and function, and how various body parts come together to form a coherent and adaptable living being. Correlate clinical conditions and therapeutic interventions. Participate in lab sessions with predissected cadaveric material and hands-on learning to gain understanding of the bioengineering human application domain. Encourage anatomical thinking, defining challenges and opportunities for bioengineers.

Preference to sophomores. Survey of innovative technologies and medical devices used in multiple medical specialties. Guest lecturers include Stanford Medical School physicians, entrepreneurs, and venture capitalists. Focus on how to identify clinical needs and design device solutions to address those needs. Fundamentals of starting a company. Field trips to local medical device companies and design house. No previous engineering training required.

Overview of bioengineering focused on engineering analysis and design of biological systems. Topics include chemical properties of biological components, rates and equilibrium properties of biological reactions, cellular structure and communication, genetic programming of biological systems, and engineering balances and systems analysis. Application of these concepts to engineering biological systems for diverse areas, including health and medicine, biomanufacturing, and sustainability, is emphasized. Includes an introduction to MATLAB as a problem-solving tool and a team-based project emphasizing the responsible development of technologies. 4 units, Spr (Smolke)

Complex biological behaviors through the integration of computational modeling and molecular biology. Topics: reconstructing biological networks from high-throughput data and knowledge bases. Network properties. Computational modeling of network behaviors at the small and large scale. Using model predictions to guide an experimental program. Robustness, noise, and cellular variation. Prerequisites: CME 102; BIO 41, BIO 42; or consent of instructor.

Biological and electrical design principles. Engineering tools used to electrically probe and model physiological systems. Basic and clinical excitable cell physiology. Topics: single-cell physiology (treatment of cells as bioelectrical devices, cable properties, ion channels and gradients, nonlinear dynamics of action potentials), network physiology and system design (neural networks, orderly recruitment of axons, Hebbian and spike timing-dependent plasticity), and excitable cell disease and interventions (major neurological and neuromuscular disease syndromes, neuromuscular simulation and surgical planning, electromagnetic stimulation instrumentation, optogenetics, tissue engineering). Prerequisites: MATH 41, 42; CME 102; PHY 41, 43; BIO 41, 42; or instructor approval.