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Course Overview

With nuclear and radiological materials poised to play a significant role in national and international plans to develop safe, secure, clean, and affordable power, and in scientific and medical innovation, it is critical that facility designers, operators, and regulators understand foundational nuclear security. The Nuclear Material Accountancy and Control (NMAC) course was developed to ensure that the next generation of nuclear security experts understand the principles, concepts, technologies, and practices used in accounting and controlling nuclear material at nuclear facilities.

What You'll Learn

This course serves as an advanced, comprehensive study of the principles, concepts, technologies, and practices used in accounting and controlling nuclear material at facilities that process and/or handle such material. Students will be exposed to technical concepts and methods, and they will be faced with open-ended questions and laboratory exercises that will allow them to learn and demonstrate mastery of these concepts. Particular attention will be paid to radiation detection and measurement concepts that apply to NMAC.

Who Should Attend

Advanced student, graduate-level students, and doctoral candidates in nuclear engineering; early- to mid-career nuclear engineers in nuclear engineering or nuclear security roles within government, industry, or academia.

Additional Information

This program is tuition remission eligible under Professional Development.

Prerequisites

All students are expected to have some familiarity with nuclear facilities and competency with some level of data analysis software (Microsoft Excel at a minimum), as well as basic mathematics. University students are expected to have some background in the nuclear fuel cycle, nuclear physics, radiation detection and measurement, simulation, and programming in their choice of language (MatLab, C/C++, Root, Python, etc.). Students should be experienced with independent research to obtain relevant material including (but not limited to) nuclear data, computational tools, manuals, etc.

Requirements

Students should be experienced with independent research to obtain relevant material including (but not limited to) nuclear data, computational tools, manuals, etc. There will be some modeling covered toward the end of the course; students are encouraged to acquire and install MCNP early in the course in order to allow ample time to resolve any issues.
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