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71 - 80 of 162 results for: MS&E

MS&E 246: Financial Risk Analytics

Practical introduction to financial risk analytics. The focus is on data-driven modeling, computation, and statistical estimation of credit and market risks. Case studies based on real data will be emphasized throughout the course. Topics include mortgage risk, asset-backed securities, commercial lending, consumer delinquencies, online lending, derivatives risk. Tools from machine learning and statistics will be developed. Data sources will be discussed. The course is intended to enable students to design and implement risk analytics tools in practice. Prerequisites: MS&E 245A or similar, some background in probability and statistics, working knowledge of R, Matlab, or similar computational/statistical package.
Terms: Win | Units: 3

MS&E 248: Blockchain and Crypto Currencies

Blockchain is one of the most significant technologies to impact law and business in many years. Blockchain is also one of the most interdisciplinary areas, bringing together new questions, and opportunities at the intersection of technology, business and law. This course is designed to employ this interdisciplinary nature, provide an overview of the technology behind blockchain, and explore current and potential real-world applications in technology, business and law. This is a lecture, discussion, and project-oriented class. Each lecture will focus on one of the topics, including a survey of the state-of-the-art in the area and in-depth discussion of the topic. Each week, students are expected to complete reading assignments before class and participate actively in class discussion.
Terms: Spr | Units: 3
Instructors: LaBlanc, G. (PI)

MS&E 249: Corporate Financial Management (MS&E 146)

Key functions of finance in both large and small companies, and the core concepts and key analytic tools that provide their foundation. Making financing decisions, evaluating investments, and managing cashflow, profitability and risk. Designing performance metrics to effectively measure and align the activities of functional groups and individuals within the firm. Structuring relationships with key customers, partners and suppliers. Limited enrollment. Recommended: 145, 245A, or equivalent.
Terms: Win | Units: 3-4

MS&E 250A: Engineering Risk Analysis

Techniques of analysis of risk management decisions in engineering and other systems involving preferences and trade-offs (technical, human, environmental aspects). Elements of decision analysis; probabilistic risk analysis in the public or private sector (fault trees, event trees, systems dynamics); Bayesian updating and learning (elementary notions of quantum computing for complex cases); value of tests, economic analysis of failure consequences (human safety and long-term economic discounting); case studies such as space systems, nuclear power plants, medical systems and cyber security. Pre-requisites: probability, stochastic processes, and convex optimization.
Terms: Win | Units: 3

MS&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)

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

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
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