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11 - 15 of 15 results for: CS106A

IMMUNOL 207: Essential Methods in Computational and Systems Immunology

Introduction to the major underpinnings of systems immunology: first principles of development of computational approaches to immunological questions and research; details of the algorithms and statistical principles underlying commonly used tools; aspects of study design and analysis of data sets. Prerequisites: CS106a and CS161 strongly recommended.
Terms: Spr | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)

ME 52SI: Scan, Model, Print! Designing with 3D Technology

Think 3D scanning, modeling, and printing technology is just about plastic widgets? Think again! Immerse yourself in a world of custom prosthetics, manufacturing in space, autonomous cars, and much more. This hands-on engineering design course teaches advanced 3D imaging and computational modeling skills in order to leverage the unique benefits of additive manufacturing to solve complex problems. Students will connect the theory behind these tools to direct experience with the equipment and software. Short assignments at the start of the quarter will build students' core competencies and prepare them for a team-based, open-ended project. Class time will be a mixture of lecture, lab, guest speakers, and field trips. Recommended: basic CAD, fabrication, and programming experience (e.g. ME103D, 203, CS106A or equivalents).
Terms: not given this year | Units: 2 | Grading: Satisfactory/No Credit

ME 216M: Introduction to the Design of Smart Products

This course will focus on the technical mechatronic skills as well as the human factors and interaction design considerations required for the design of smart products and devices. Students will learn techniques for rapid prototyping of smart devices, best practices for physical interaction design, fundamentals of affordances and signifiers, and interaction across networked devices. Students will be introduced to design guidelines for integrating electrical components such as PCBs into mechanical assemblies and consider the physical form of devices, not just as enclosures but also as a central component of the smart product. Prerequisites include: CS106A, E40, and ME 210, or instructor approval.
Terms: Spr | Units: 4 | Grading: Letter or Credit/No Credit

PHYSICS 91SI: Practical Computing for Scientists

Essential computing skills for researchers in the natural sciences. Helping students transition their computing skills from a classroom to a research environment. Topics include the Unix operating system, the Python programming language, and essential tools for data analysis, simulation, and optimization. More advanced topics as time allows. Prerequisite: CS106A or equivalent.
Terms: Spr | Units: 2 | Grading: Satisfactory/No Credit

SOMGEN 217SI: Fundamentals of Digital Health Innovation

Digital Health is an emerging field that sits at the intersection of healthcare and technology. Last year, healthcare spending in the United States surpassed $3.2T, and remains an unmet need. To fully address this issue, this requires expertise in healthcare and technology trends. This class will focus on how understanding healthcare trends of the past, present and future combined with the innovative technology trends can ultimately be utilized to drive innovation in healthcare. Some topics covered will revolve around technology trends in healthcare and healthcare stakeholders, such as providers, payers, biotechnology and pharmaceutical companies, FDA, and the financial markets. Prerequisities for the course are BIO41 or CS106A or equivalent.
Terms: not given this year | Units: 1 | Grading: Medical Satisfactory/No Credit
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