North Carolina State University at Raleigh · Courses

EM

11 courses with the subject EM, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.

EM 501Engineering Leadership and Strategic Change

Notes: 1. Students must complete ISE 362 or ISE/OR 560 (or equivalent) to enroll in ISE/OR 562.

Subject: EM
Type: course
Edition: 2026-2027
Source: catalog.ncsu.edu

EM 506Managing New Hi Tech Product Launches

Subject: EM
Type: course
Edition: 2026-2027
Source: catalog.ncsu.edu

EM 507Product Life Cycle Management

Subject: EM
Type: course
Edition: 2026-2027
Source: catalog.ncsu.edu

EM 517Facilities Engineering Systems

Subject: EM
Type: course
Edition: 2026-2027
Source: catalog.ncsu.edu

EM 518Environmental Compliance for Facilities Engineers

EM/ISE 538 Practical Machine Learning for Engineering

Subject: EM
Type: course
Edition: 2026-2027
Source: catalog.ncsu.edu

EM 530Project Management ()3

This project management course takes an expansive view of project management concepts, methods, processes, and tools, with the understanding that the discipline of project management crosses traditional industry and functional boundaries. Course material considers project management from multiple perspectives, including executive management, the project manager, the project team, and the larger set of project stakeholders. We will examine projects from technical, business, and strategic perspectives. A survey of the Project Management Institute's (PMI(R)) Guide to the Project Management Body of Knowledge (PMBOK(R)) is included. Typically offered in Fall and Spring EM 534/ISE 534 Artificial Intelligence for Engineering Managers (3 credit hours) This course is designed for engineering managers to develop the skills necessary to manage AI and machine learning projects. It covers a broad range of AI topics including the various methods and algorithms (such as machine learning, deep learning, and large language models) and associated applications in different industries. The focus is on understanding the technical aspects of AI sufficient to manage teams, make informed decisions on AI adoption, and create project plans that estimate resources, costs, and timelines. The course aims to equip managers with the knowledge to assess the impact of AI on their firms and the broader economy. It is not a technical course for becoming an AI/ML engineer, but rather a management-oriented course to help in the deployment and oversight of AI projects. Typically offered in Fall, Spring, and Summer EM 538/ISE 538 Practical Machine Learning for Engineering Analytics (3 credit hours) Machine learning has become integral to engineering analytics, significantly improving predictive capabilities and providing valuable insights from complex datasets. In engineering, machine learning models can analyze vast amounts of data from multiple sources to identify patterns and make accurate predictions. These predictions can optimize system performance, predict equipment failures, and improve maintenance schedules. Machine learning techniques transform how engineers approach problem-solving, enabling them to make more informed decisions and implement more effective solutions. One of the critical aspects of this course is the focus on practical examples and hands-on experience with machine learning tools and techniques. Through lectures, case studies, interactive assignments, and projects, students will gain a comprehensive understanding of machine learning applications in engineering analytics. The course will cover fundamental machine learning concepts, such as supervised and unsupervised learning, classification, regression, anomaly detection, and clustering. Typically offered in Fall and Spring

Subject: EM
Credits (min): 3
Credits (max): 3
Credit unit: credit hours
Type: course
Edition: 2026-2027
Source: catalog.ncsu.edu

EM 534Artificial Intelligence for Engineering Managers

Subject: EM
Type: course
Edition: 2026-2027
Source: catalog.ncsu.edu

EM 538Practical Machine Learning for Engineering

Subject: EM
Type: course
Edition: 2026-2027
Source: catalog.ncsu.edu

EM 589Special Topics in Engineering Management (1-6

hours) New or special course on recent developments in some phase of engineering management using traditional course format. Identification of various specific topics and prerequisites for each section from term to term. Students may repeat this course under a different topic. Typically offered in Fall, Spring, and Summer

Subject: EM
Credits (min): 1
Credits (max): 6
Credit unit: credit
Type: course
Edition: 2026-2027
Source: catalog.ncsu.edu

EM 675Engineering Management Masters Project3

Subject: EM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2026-2027
Source: catalog.ncsu.edu

EM 677Engineering Management Masters Project2

Subject: EM
Credits (min): 2
Credits (max): 2
Type: course
Edition: 2026-2027
Source: catalog.ncsu.edu

Source: North Carolina State University at Raleigh's catalog, linked per course · table learning_unit · CourseShelf publish 61