Preparing your Path…
ALLPATHFoundationALLPATHFoundationPreparing your Path…
Path Catalog
Data is pulled live from GET /api/v1/paths, and only Paths with a published version are listed.
Current filter: Learning · Clear filter
7808 Paths · page 310 / 781
This path equips sophomore industrial engineering students with the core concepts of engineering economics, enabling them to evaluate projects using time value of money, cash flow analysis, and rate of return methods. Through a structured sequence from foundational principles to practical application, learners will make informed engineering decisions.
This learning path guides junior industrial engineering students through the fundamentals of discrete-event simulation. It covers probability and statistics foundations, simulation model building, input analysis, and output analysis, providing the skills needed to develop and analyze simulation models for real-world systems.
This learning path introduces junior industrial engineering students to the core concepts of supply chain management, covering procurement, logistics, distribution, inventory, and strategic integration. It builds from foundational operations management principles to advanced supply chain strategies, preparing learners for careers in supply chain roles.
This learning path guides junior industrial engineering students through the fundamental concepts of facilities planning, including plant layout, material handling, location analysis, and the application of operations research techniques. Learners will develop the skills to analyze, design, and optimize industrial facilities.
This learning path introduces junior industrial engineering students to the principles of ergonomics and human factors. It covers anthropometry, physical ergonomics, cognitive factors, and workplace design, emphasizing how these elements integrate to create safe, efficient, and user-centered work systems.
This path equips junior industrial engineering students with the knowledge and skills to apply quality control tools and Six Sigma methodologies. It covers statistical process control, process capability analysis, the DMAIC framework, and essential quality tools, building from foundational statistics to practical application.
This path introduces junior industrial engineering students to the core concepts of managing production systems, covering forecasting, aggregate planning, inventory management, and scheduling. It builds on foundational knowledge in statistics and operations research, emphasizing practical application and decision-making.
A systematic learning path for sophomore industrial engineering students to model and solve network optimization problems, covering shortest path, minimum spanning tree, maximum flow, and CPM/PERT within the context of Operations Research I.
A systematic learning path for sophomore industrial engineering students to master the formulation and solution of linear programming (LP) problems. It covers essential linear algebra foundations, LP formulation, graphical and simplex solution methods, and duality theory, culminating in sensitivity analysis.
This learning path equips first-year industrial engineering students with the statistical tools needed to analyze and solve engineering problems. It covers descriptive statistics, probability distributions, estimation, hypothesis testing, and regression analysis, emphasizing practical applications in quality control and process improvement.