1 - 10 of 43 results for: BIOE

Emphasis is on acquiring and developing the tools and skills needed to work collaboratively and lead teams within interdisciplinary research environments. Cutting edge topics, challenges, and opportunities at the intersection of biology and biotechnology. How to design and implement projects that are responsive to real-world problems using biological technologies, and assess projects based on their significance, feasibility, and costs. Course work includes daily hands-on projects, discussion, and presentations.

Preference to sophomores. Commonly used medical devices in different medical specialties. Guest lecturers include Stanford Medical School physicians, entrepreneurs, and venture capitalists. How to identify clinical needs and design device solutions to address these needs. Fundamentals of starting a company. Field trips to local medical device companies; workshops. No previous engineering training required.

New foundational tools that are making biology easier to engineer. Topics include DNA synthesis, RNA, protein, and cellular engineering, programmed pattern formation, standardization, and abstraction. Current and future applications of biotechnology. Social issues such as ethics, safety, security, and ownership, sharing, and innovation frameworks. All majors welcome; optional weekly background tutorial.

Directed study and research for undergraduates on a subject of mutual interest to student and instructor. Prerequisites: consent of instructor and adviser. (Staff)

Topics: algorithms for alignment of biological sequences and structures, computing with strings, phylogenetic tree construction, hidden Markov models, computing with networks of genes, 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, graphical display of biological data, machine learning (clustering and classification), and natural language text processing. Prerequisites: programming skills; consent of instructor for 3 units.

The physics of medical imaging and human anatomy through medical images. Emphasis is on normal anatomy, contrast mechanisms, and the relative strengths of each imaging modality. Labs reinforce imaging techniques and anatomy. Prerequisites: basic biology, physics.

Instruments for imaging molecular and cellular events in animals and human beings using novel assays. Instrumentation physics, chemistry of molecular imaging probes, and applications to preclinical models and clinical disease management.

In vivo imaging techniques and applications to preclinical models and clinical disease management. Focus on cancer research, neurobiology, cardiovascular and musculoskeletal diseases.