# FE Industrial and Systems

The latest NCEES specifications with category and topics.

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Effective July 1st, 2020, these are the categories and subcategories specified by the NCEES that this discipline covers. It includes an estimate of the number of questions you will see on the official exam for each category. We've covered the specification changes in this blog post. PrepFE provides hundreds of questions in proportional amounts to the official exam.

For the prior categories and topics that were discontinued at the end of June, 2020, please see the categories here.

#### Industrial and Systems FE exam categories

Questions on the FE Exam

Analytic geometry (e.g., areas, volumes)

Calculus (e.g., derivatives, integrals, progressions, series)

Linear algebra (e.g., matrix operations, vector analysis)

Thermodynamics and fluid mechanics

Statics, dynamics, and materials

Electricity and electrical circuits

Codes of ethics and licensure

Agreements and contracts

Professional, ethical, and legal responsibility

Public protection and regulatory issues

Discounted cash flows (e.g., nonannual compounding, time value of money)

Evaluation of alternatives (e.g., PW, EAC, FW, IRR, benefit-cost)

Cost analyses (e.g., fixed/variable, break-even, estimating, overhead, inflation, incremental, sunk, replacement)

Depreciation and taxes (e.g., MACRS, straight line, after-tax cash flow, recapture)

Probabilities (e.g., permutations and combinations, sets, laws of probability)

Probability distributions and functions (e.g., types, statistics, central limit theorem, expected value, linear combinations)

Estimation, confidence intervals, and hypothesis testing (e.g., normal, t, chi-square, types of error, sample size)

Linear regression (e.g., parameter estimation, residual analysis, correlation)

Design of experiments (e.g., ANOVA, factorial designs)

Data, logic development, and analytics (e.g., databases, flowcharts, algorithms, data science techniques)

Linear programming and optimization (e.g., formulation, solution, interpretation)

Stochastic models and simulation (e.g., queuing, Markov processes, inverse probability functions)

Principles and tools (e.g., planning, organizing, motivational theory, organizational structure)

Project management (e.g., WBS, scheduling, PERT, CPM, earned value, agile)

Performance measurement (e.g., KPIs, productivity, wage scales, balance scorecard, customer satisfaction)

Decision making and risk (e.g., uncertainty, utility, decision trees, financial risk)

Manufacturing processes (e.g., machining, casting, welding, forming, dimensioning, new technologies)

Manufacturing and service systems (e.g., throughput, measurement, automation, line balancing, energy management)

Forecasting (e.g., moving average, exponential smoothing, tracking signals)

Planning and scheduling (e.g., inventory, aggregate planning, MRP, theory of constraints, sequencing)

Process improvements (e.g., lean systems, sustainability, value engineering)

Flow, layout, and location analysis (e.g., from/to charts, layout types, distance metrics)

Capacity analysis (e.g., number of machines and people, trade-offs, material handling)

Supply chain management and design (e.g., pooling, transportation, network design, single-level/multilevel distribution models)

Human factors (e.g., displays, controls, usability, cognitive engineering)

Safety and industrial hygiene (e.g., workplace hazards, safety programs, regulations, environmental hazards)

Ergonomics (e.g., biomechanics, cumulative trauma disorders, anthropometry, workplace design, macroergonomics)

Methods analysis (e.g., charting, workstation design, motion economy)

Work measurement (e.g., time study, predetermined time systems, work sampling, standards)

Learning curves

Quality management, planning, assurance, and systems (e.g., Six Sigma, QFD, TQM, house of quality, fishbone, Taguchi loss function)

Quality control (e.g., control charts, process capability, sampling plans, OC curves, DOE)

Requirements analysis and system design

Functional analysis and configuration management

Risk management (e.g., FMEA, fault trees, uncertainty)

Life-cycle engineering

Reliability engineering (e.g., MTTF, MTBR, availability, parallel and series failure)