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31 - 40 of 228 results for: MS

EE 205: Product Management for Electrical Engineers and Computer Scientists

Successful products are the highest impact contribution anyone can make in product development. Students will learn to build successful products using fundamental concepts in Product Management. These include understanding customers, their job to be done, Identifying new product opportunities, and defining what to build that is technically feasible, valuable to the customer, and easy to use The course has two components, Product Management Project with corporate partners, and case-based classroom discussion of PM concepts and application. Prerequisite: Students must be currently enrolled in a MS or PhD engineering degree program.
Terms: Aut | Units: 3

EE 268: The Engineering Economics of Electricity Markets (ECON 261)

This course presents the power system engineering and economic concepts necessary to understand the costs and benefits of transitioning to a low carbon electricity supply industry. The technical characteristics of generation units and transmission and distribution networks as well as the mechanisms used to operate the electricity supply industries will be studied. The fundamental economics of wholesale markets and how intermittent renewables impact the price and quantity of physical and financial products traded in these markets (e.g., energy, capacity, ancillary services, and financial contracts) will be analyzed. Long-term resource adequacy mechanisms will be introduced and their properties analyzed. The role of both short-duration and seasonal energy storage will be analyzed. Mechanisms for determining the engineering and economic need for transmission network expansions in a wholesale market will be discussed. The impact of distributed versus grid-scale generation on the performanc more »
This course presents the power system engineering and economic concepts necessary to understand the costs and benefits of transitioning to a low carbon electricity supply industry. The technical characteristics of generation units and transmission and distribution networks as well as the mechanisms used to operate the electricity supply industries will be studied. The fundamental economics of wholesale markets and how intermittent renewables impact the price and quantity of physical and financial products traded in these markets (e.g., energy, capacity, ancillary services, and financial contracts) will be analyzed. Long-term resource adequacy mechanisms will be introduced and their properties analyzed. The role of both short-duration and seasonal energy storage will be analyzed. Mechanisms for determining the engineering and economic need for transmission network expansions in a wholesale market will be discussed. The impact of distributed versus grid-scale generation on the performance of electricity supply industries will be studied. A detailed treatment of electricity retailing will focus on the importance of active demand-side participation in a low carbon energy sector. This course uses knowledge of probability at the level of Stats 116, optimization at the level of MS&E 111, statistical analysis at the level of Economics 102B, microeconomics at the level of Economics 51 and computer programming in R.
Terms: Aut | Units: 3

EE 277: Bandit Learning: Behaviors and Applications (MS&E 237A)

The subject of reinforcement learning addresses the design of agents that improve decisions over time while operating within complex and uncertain environments. This first course of the sequence restricts attention to the special case of bandit learning, which focuses on environments in which all consequences of an action are realized immediately. This course covers desired agent behaviors and principled scalable approaches to realizing such behavior. Topics include learning from trial and error, exploration, contextualization, generalization, and representation learning. Motivating examples will be drawn from recommendation systems, crowdsourcing, education, and generative artificial intelligence. Homework assignments primarily involve programming exercises carried out in Colab, using the python programming language and standard libraries for numerical computation and machine learning. Prerequisites: programming (e.g., CS106B), probability (e.g., MS&E 121, EE 178 or CS 109), machine learning (e.g., EE 104/ CME 107, MS&E 226 or CS 229).
Terms: Aut | Units: 3

EE 290A: Curricular Practical Training for Electrical Engineers

For EE majors who need work experience as part of their program of study. Final report required. Prerequisites: for 290B, EE MS and PhD students who have received a Satisfactory ("S") grade in EE290A; for 290C, EE PhD degree candidacy and an "S" grade in EE 290B; for 290D, EE PhD degree candidacy, an "S" grade in EE 290C and instructor consent.
Terms: Aut, Win, Spr, Sum | Units: 1

EE 290B: Curricular Practical Training for Electrical Engineers

For EE majors who need work experience as part of their program of study. Final report required. Prerequisites: for 290B, EE MS and PhD students who have received a Satisfactory ("S") grade in EE290A; for 290C, EE PhD degree candidacy and an "S" grade in EE 290B; for 290D, EE PhD degree candidacy, an "S" grade in EE 290C and instructor consent.
Terms: Aut, Win, Spr, Sum | Units: 1

EE 290C: Curricular Practical Training for Electrical Engineers

For EE majors who need work experience as part of their program of study. Final report required. Prerequisites: for 290B, EE MS and PhD students who have received a Satisfactory ("S") grade in EE290A; for 290C, EE PhD degree candidacy and an "S" grade in EE 290B; for 290D, EE PhD degree candidacy, an "S" grade in EE 290C and instructor consent.
Terms: Aut, Win, Spr, Sum | Units: 1

EE 290D: Curricular Practical Training for Electrical Engineers

For EE majors who need work experience as part of their program of study. Final report required. Prerequisites: for 290B, EE MS and PhD students who have received a Satisfactory ("S") grade in EE290A; for 290C, EE PhD degree candidacy and an "S" grade in EE 290B; for 290D, EE PhD degree candidacy, an "S" grade in EE 290C and instructor consent.
Terms: Aut, Win, Spr, Sum | Units: 1

EE 290E: Curricular Practical Training for Electrical Engineers

For EE majors who need work experience as part of their program of study. Final report required. Prerequisites: for 290B, EE MS and PhD students who have received a Satisfactory ("S") grade in EE290A; for 290C, EE PhD degree candidacy and an "S" grade in EE 290B; for 290D, EE PhD degree candidacy, an "S" grade in EE 290C and instructor consent; for 290E, EE PhD degree candidacy, an "S" grade in EE 290D and instructor consent.
Terms: Aut, Win, Spr, Sum | Units: 1

EE 370: Reinforcement Learning: Behaviors and Applications (MS&E 237B)

This course treats reinforcement learning, which addresses the design of agents to operate in environments where actions induce delayed consequences. Concepts generalize those arising in bandit learning, which is covered in EE277/MS&E 237A. The course covers principled and scalable approaches to realizing a range of intelligent learning behaviors. Topics include planning, credit assignment, and learning of models, value functions, and policies. Motivating examples will be drawn from generative artificial intelligence, web services, control, and finance. Prerequisites: EE277.
Terms: Win | Units: 3

EMED 308A: Point-of-Care Ultrasound Clerkship

VISITING: Open to visitors. TYPE OF CLERKSHIP: Elective. DESCRIPTION: Point-of-care ultrasound (POCUS) has become increasingly utilized in multiple medical specialties, with emergency medicine at the forefront. This rotation is designed to introduce point-of-care ultrasound to the clinical medical student and provide more in-depth and hands-on familiarity with bedside US for a variety of modalities. These skills will better equip students to use these techniques at the bedside of any patient in the emergency room or on the floors with greater facility and confidence. It will enhance patient diagnosis and management, procedural guidance, and patient satisfaction. It may even save a life! Primary emphasis will be on developing competent technical skills to enhance image acquisition and interpretation. The applications as defined by the American College of Emergency Physicians will be the main focus. A goal for a minimum number of ultrasound scans will be 25 per application including, eFA more »
VISITING: Open to visitors. TYPE OF CLERKSHIP: Elective. DESCRIPTION: Point-of-care ultrasound (POCUS) has become increasingly utilized in multiple medical specialties, with emergency medicine at the forefront. This rotation is designed to introduce point-of-care ultrasound to the clinical medical student and provide more in-depth and hands-on familiarity with bedside US for a variety of modalities. These skills will better equip students to use these techniques at the bedside of any patient in the emergency room or on the floors with greater facility and confidence. It will enhance patient diagnosis and management, procedural guidance, and patient satisfaction. It may even save a life! Primary emphasis will be on developing competent technical skills to enhance image acquisition and interpretation. The applications as defined by the American College of Emergency Physicians will be the main focus. A goal for a minimum number of ultrasound scans will be 25 per application including, eFAST, thoracic, renal, RUQ, aorta, limited ECHO and IVC, first trimester pelvic, DVT, orbital, MSK. Other advanced ultrasound applications will potentially be introduced (airway, bladder, nerve blocks). Students will obtain US images in the Stanford Emergency Department and will have imaging formally reviewed by a US fellowship trained emergency medicine faculty member. Images will be obtained during scan shifts during which students will scan appropriate patients and review images with the faculty member onsite and independently. Students will attend Bedside US didactics offered by an US EM faculty member every Thursday morning, followed by quality assessment (QA) review of Ultrasound scans performed in the ED. Students will have access and be expected to participate in online and computer-based learning that will be provided for them as well. This clerkship requires prior approval by Clerkship Director. Contact clerkship director Dr. Nick Ashenburg (ashenburg@stanford.edu) and clerkship coordinator Lauren Berriatua (laurenbe@stanford.edu). For visiting international students, please submit your application directly through the International Visiting Student (IVS) Program via https://med.stanford.edu/clerkships/international.html. Please contact visiting-MD-students@stanford.edu if you have any additional questions regarding the IVS Program. PREREQUISITES: Medicine and Surgery rotations, MS 4/5 given preference over MS3. PERIODS AVAILABLE: 4-11, full time for 4 weeks, 2 students per period (subject to change by period). CLERKSHIP DIRECTOR: Nick Ashenburg, M.D., ashenburg@stanford.edu. CLERKSHIP COORDINATOR: Lauren Berriatua, laurenbe@stanford.edu. REPORTING INSTRUCTIONS: Where: TBA; Time: 9:00 am. CALL CODE: 0. OTHER FACULTY: K. Anderson, Y. Duanmu, V. Lobo, M. Askar, C. Hill. LOCATION: SUMC.
Terms: Aut, Win, Spr | Units: 6
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