Course

Credit Type:
Course
ACE ID:
SIMN-0001
Version:
1
Organization:
Coursera Inc.
Location:
Online
Length:
8 weeks and 34 hours
Minimum Passing Score:
80
ACE Credit Recommendation Period:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 2 Product Development Process
Lower-Division Baccalaureate 1 Career Readiness
Description

Objective:

The course objective is to prepare participants to understand the connections between engineering theory and industry practice, with focus areas in product lifecycle management, digital technologies, and sustainable engineering. Upon completion, participants will be equipped to evaluate product lifecycle approaches, assess emerging technologies like AI and digital twins, and analyze sustainable practices in engineering environments.

Learning Outcomes:

  • Describe the role of emerging technologies, including AI and digital transformation, in engineering and manufacturing environments
  • Apply foundational decision-making approaches that consider both technical and business factors
  • Demonstrate awareness of effective communication and collaboration practices within engineering teams
  • Identify key considerations related to sustainability and the evolving role of technology in industry
  • Evaluate product lifecycle concepts and engineering workflows in the context of modern industry practices

General Topics:

  • Professional and industry foundations, including onboarding practices, business acumen, stakeholder communication, and understanding roles and responsibilities within engineering organizations
  • Product lifecycle management (PLM) and engineering workflows, covering how products are designed, developed, manufactured, and managed using integrated digital systems and cross-functional processes
  • Electronic design automation (EDA) and electronics fundamentals, including semiconductors, integrated circuits, and the use of software tools to support and optimize electronic system design
  • Engineering design and manufacturing practices, including smart manufacturing, simulation, product development processes, and the use of digital tools across production environments
  • Digital transformation in industry, including connected systems, digital workflows, and the integration of technologies that improve efficiency, collaboration, and innovation across the product lifecycle
  • Artificial intelligence and emerging technologies, including generative AI, immersive technologies, and their role in engineering design, decision-making, and future industry applications
  • Data-driven decision-making and business considerations, including evaluating engineering solutions using technical requirements, financial factors, and risk management principles
  • Sustainability and future of industry topics, including sustainable engineering practices, environmental considerations, and responsible use of AI and digital technologies in industry
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Discussion
  • Learner Presentations
  • Lectures
  • Practical Exercises

Methods of Assessment:

  • Quizzes
Supplemental Materials
Equivalencies

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