Successful design requires good decisions in the presence of uncertainty and competing goals. A key design requirement of successful products is their reliability. Often, performance and cost requirements drive product designs to possess relatively small margins of safety. Since materials degrade with time, the resulting product life is finite. Engineers are challenged to design the product to ensure predictable reliability while optimally achieving the goals of performance and cost.
Making optimal decisions considering tradeoffs between diverse objectives is an essential activity in all organizations and teams involved in engineering design and product development. The ability to effectively make design decisions, and to coordinate the decisions of a team are valuable competencies for various roles in the industry, including those of systems engineers, design engineers, and engineering managers.
Both product reliability as well as design decisions require an assessment of uncertainty in product lifetimes or market factors. Product lifetimes are inherently uncertain, due to uncertainty in geometrical dimensions, material parameters or loading conditions. Assessment of market risk and uncertainty is crucial for good design decisions. Therefore, the tools and techniques of probability and statistics that are critical to the study of uncertainty form an important learning of this program. Analyzing the uncertainty and designing to reduce failure probability and the uncertainty in product performance represents another important goal. The physics of material degradation and the common failure mechanisms in mechanical and electronic products is an important learning, as well.
This MicroMasters program will benefit a wide range of practitioners and active learners, whether entry level engineers or transitioning into engineering management roles. The learning outcomes of this program will have applicability to products across all major engineering disciplines including automotive, aerospace, biomedical and electronics industries. This MicroMasters program from the best ranked online Mechanical Engineering Master’s degree program will prepare the student for leadership roles in product development or engineering management.
The program content is suitable for individuals with an undergraduate degree in engineering, or a related field. Basic knowledge of mechanics of materials and programming is expected.
Courses under this program: Course 1: Decision Making in Engineering Design
In this course, you will learn the foundations of decision-making in the design of engineering products, processes, and systems.
Course 2: Reliability in Engineering Design
Learn the methods of reliability analysis and reliability-driven design of mechanical and electronic systems.
The course is aimed at providing an engineering view (as opposed to a purely statistical view or a management view) of reliability analysis as well as reliable product design. The goal is to make the student familiar with both the statistical tools as well as the failure physics that enable one to model time to failure of products and to use such models during design phase to ensure reliable product designs.
Decision making is an essential activity in all organizations and teams involved in engineering design and product development. Successful design requires the ability to make good decisions in the presence of risk and uncertainty, and an understanding of how customers and other stakeholders make decisions.
This course provides a rigorous foundation of decision making by bringing together theories and knowledge from diverse fields of study and applying them to the engineering design context. The key topics covered in the course include multi-objective decision making under risk and uncertainty, group decision making, model-based and data-driven decision making, and heuristics & biases in human decisions. Example applications in engineering design including estimation of customer preferences, simulation-based design, and sustainable design.
The course would benefit a wide range of practitioners and active learners, whether they are entry-level engineers or transitioning into engineering management roles. The course content is suitable for individuals will an undergraduate degree in engineering or a related field. Basic knowledge of programming (in any programming language) is expected.