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1 - 10 of 24 results for: BIOE

BIOE 44: Fundamentals for Engineering Biology Lab

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.
Terms: Aut, Spr | Units: 4 | UG Reqs: WAY-SMA | Grading: Letter (ABCD/NP)

BIOE 101: Systems Biology (BIOE 210)

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.
Terms: Aut | Units: 4 | UG Reqs: WAY-AQR | Grading: Letter (ABCD/NP)

BIOE 191: Bioengineering Problems and Experimental Investigation

Directed study and research for undergraduates on a subject of mutual interest to student and instructor. Prerequisites: consent of instructor and adviser. (Staff)
Terms: Aut, Win, Spr, Sum | Units: 1-5 | Repeatable for credit | Grading: Letter or Credit/No Credit

BIOE 210: Systems Biology (BIOE 101)

Terms: Aut | Units: 4 | Grading: Letter (ABCD/NP)

BIOE 214: Representations and Algorithms for Computational Molecular Biology (BIOMEDIN 214, CS 274, GENE 214)

Topics: introduction to bioinformatics and computational biology, algorithms for alignment of biological sequences and structures, computing with strings, phylogenetic tree construction, hidden Markov models, Gibbs Sampling, basic structural computations on proteins, protein structure prediction, protein threading techniques, homology modeling, molecular dynamics and energy minimization, statistical analysis of 3D biological data, integration of data sources, knowledge representation and controlled terminologies for molecular biology, microarray analysis, machine learning (clustering and classification), and natural language text processing. Prerequisites: programming skills; consent of instructor for 3 units.
Terms: Aut | Units: 3-4 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Altman, R. (PI)

BIOE 273: BIODESIGN FOR MOBILE HEALTH (MED 273)

This seminar examines the emerging Mobile Health industry. Mobile Health is the provision of health services and information via mobile technologies such as mobile phones and wearable sensors. Faculty from Stanford University and other Academic Institutions and guest lecturers from the Mobile Health industry discuss the driving needs, opportunities and challenges that characterize the emerging Mobile Health innovation landscape, and present an overview of the technologies, initiatives and companies that are transforming the way we access health care today.
Terms: Aut | Units: 1-2 | Grading: Medical Satisfactory/No Credit

BIOE 283: Mechanotransduction in Cells and Tissues (ME 244)

Mechanical cues play a critical role in development, normal functioning of cells and tissues, and various diseases. This course will cover what is known about cellular mechanotransduction, or the processes by which living cells sense and respond to physical cues such as physiological forces or mechanical properties of the tissue microenvironment. Experimental techniques and current areas of active investigation will be highlighted.
Terms: Aut | Units: 3 | Grading: Letter or Credit/No Credit

BIOE 301A: Molecular and Cellular Engineering Lab

Preference to Bioengineering graduate students. Practical applications of biotechnology and molecular bioengineering including recombinant DNA techniques, molecular cloning, microbial cell growth and manipulation, and library screening. Emphasis is on experimental design and data analysis. Limited enrollment. Fall (Cochran)
Terms: Aut | Units: 2 | Grading: Letter (ABCD/NP)

BIOE 376: Startup Garage: Design

A hands-on, project-based course, in which teams identify and work with users, domain experts, and industry participants to identify an unmet customer need, design new products or services that meet that need, and develop business models to support the creation and launch of startup products or services. This course integrates methods from human-centered design, lean startup, and business model planning. Each team will conceive, design, build, and field-test critical aspects of both the product or service and the business model.
Terms: Aut | Units: 4 | Grading: Letter or Credit/No Credit

BIOE 391: Directed Study

May be used to prepare for research during a later quarter in 392. Faculty sponsor required. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-6 | Repeatable for credit | Grading: Satisfactory/No Credit
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