printer friendly pageMS&E 250B: Project Course in Engineering Risk Analysis
Students, individually or in groups, choose, define, formulate, and resolve a real risk management problem, preferably from a local firm or institution. Oral presentation and report required. Scope of the project is adapted to the number of students involved. Three phases: risk assessment, communication, and management. Emphasis is on the use of probability for the treatment of uncertainties and sensitivity to problem boundaries. Prerequisites: engineering risk analysis, decision analysis, or consent of instructor.
Terms: Spr
| Units: 3
| Repeatable
4 times
(up to 12 units total)
Instructors:
Pate-Cornell, E. (PI)
MS&E 252: Foundations of Decision Analysis
Coherent approach to decision making, using the metaphor of developing a structured conversation having desirable properties, and producing actional thought that leads to clarity of action. Emphasis is on creation of distinctions, representation of uncertainty by probability, development of alternatives, specification of preference, and the role of these elements in creating a normative approach to decisions. Information gathering opportunities in terms of a value measure. Relevance and decision diagrams to represent inference and decision. How to assess the quality of decisions, the role of the decision analysis cycle, framing decisions, the decision hierarchy, biases in assessment, and uncertainty about probability. Sensitivity analysis, joint information, options, flexibility, assessing and using risk attitude, and decisions involving health and safety. Principles are applied to decisions in business, technology, law, and medicine. nPrerequisite: 220 or equivalent.
Terms: Win
| Units: 3-4
Instructors:
Shachter, R. (PI)
;
Dai, Y. (TA)
;
Liu, S. (TA)
;
Rodriguez Silva Santisteban, F. (TA)
;
Zhao, Y. (TA)
MS&E 254: The Ethical Analyst
We raise awareness of ethically sensitive situations and provide principles and tools for forming coherent ethical judgments regarding individual, government, or organizational actions. Students learn ethical theories and tools from which they create their own personal ethical codes and test them against established ethical principles, class discussion, homework, class presentations, and situations from work and life. The course addresses personal life, human action and relations in society, technology, medicine, coercion, harming, stealing, imposition of risk, deception, and other ethical issues.
Terms: Spr, Sum
| Units: 3
MS&E 254A: The Ethical Analyst
We raise awareness of ethically sensitive situations and provide principles and tools for forming coherent ethical judgments regarding individual, government, or organizational actions. Students learn ethical theories and tools from which they create their own personal ethical codes and test them against established ethical principles, class discussion, homework, class presentations, and situations from work and life. The course addresses personal life, human action and relations in society, technology, medicine, coercion, harming, stealing, imposition of risk, deception, and other ethical issues. Limited enrollment.
Terms: Spr
| Units: 1
MS&E 256: Technology Assessment and Regulation of Medical Devices (BIOE 256)
Regulatory approval and reimbursement for new health technologies are critical success factors for product commercialization. This course explores the regulatory and payer environment in the U.S. and abroad, as well as common methods of health technology assessment. Students will learn frameworks to identify factors relevant to the adoption of new health technologies, and the management of those factors in the design and development phases of bringing a product to market through case studies, guest speakers from government (FDA) and industry, and a course project.
Terms: Spr
| Units: 3
MS&E 256A: Technology Assessment and Regulation of Medical Devices
Regulatory approval and reimbursement for new medical technologies as a key component of product commercialization. The regulatory and payer environment in the U.S. and abroad, and common methods of health technology assessment. Framework to identify factors relevant to adoption of new medical devices, and the management of those factors in the design and development phases. Case studies; guest speakers from government (FDA) and industry.
Terms: Spr
| Units: 1
MS&E 260: Introduction to Operations Management
Operations management focuses on the effective planning, scheduling, and control of manufacturing and service entities. This course introduces students to a broad range of key issues in operations management. Topics include determination of optimal facility location, production planning, optimal timing and sizing of capacity expansion, and inventory control. Prerequisites: basic knowledge of Excel spreadsheets, probability.
Terms: Win
| Units: 3
MS&E 262: Topics in Service and Supply Chain Management
This course will focus on topics in management of supply chains and services. The course will first discuss individual trade-offs and decisions faced by business such warehousing, transportation, revenue, and network design with emphasis on how to accommodate uncertainty. Next, it will explore decisions involved in supply chains and their impact on supply chain resiliency and performance. Finally, the course will discuss operational decisions faced by marketplaces such as controlling choice and managing revenue. The course will combine analytics to address trade-offs and discussions of practical cases. There will be some overlap with MS&E 260. There is no requirement to take MS&E 260.
Terms: Spr
| Units: 3
Instructors:
Ashlagi, I. (PI)
MS&E 263: Healthcare Operations Management
US health care spending is approximately 18% of GDP, growing rapidly, and driven in large part by prices and waste rather than quality and access. New approaches for improving health care delivery are urgently needed. This class focuses on the use of analytical tools to support efficient health care delivery. Topics include case studies on capacity planning, resource allocation, and scheduling. Methods include queueing, optimization, and simulation. Prerequisites: basic knowledge of Excel, probability, and optimization. For students in the Schools of Medicine, Business, and Law the course includes a variant of the curriculum with less emphasis on the technical material.
Terms: Win
| Units: 3
MS&E 264: Healthcare Engineering
The healthcare industry, accounting for over 17% of the US GDP, stands at the forefront of rapid growth and innovation, offering vast opportunities and challenges for engineers. This course is specifically designed for graduate students and advanced undergraduate students in healthcare engineering and healthcare management, focusing on the pivotal role of data and management engineers in revolutionizing healthcare systems through the integration of advanced mathematical, economic, and managerial principles. The course covers innovative methods for designing experiments, modeling healthcare systems, leveraging big data amidst uncertainty, and specifically, delve into advanced techniques for anomaly detection in healthcare settings, identifying outliers that may indicate critical health trends or emergent crises. Through exploring these methodologies with applications from recent research to illustrate each concept, this course is structured to foster a collaborative learning environment, encouraging participants to contribute to the advancement of personalized medicine, evidence-based practices, and informed healthcare policymaking.
Terms: Spr
| Units: 3
Instructors:
Yamin, D. (PI)
;
Ling, Y. (TA)
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