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. *

Mathematics

6 to 9 questions

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

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

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

Engineering Sciences

4 to 6 questions

Thermodynamics and fluid mechanics

Statics, dynamics, and materials

Electricity and electrical circuits

Ethics and Professional Practice

4 to 6 questions

Codes of ethics and licensure

Agreements and contracts

Professional, ethical, and legal responsibility

Public protection and regulatory issues

Engineering Economics

9 to 14 questions

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)

Probability and Statistics

10 to 15 questions

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)

Modeling and Quantitative Analysis

9 to 14 questions

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)

Engineering Management

8 to 12 questions

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, Service, and Other Production Systems

9 to 14 questions

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)

Facilities and Supply Chain

9 to 14 questions

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, Ergonomics, and Safety

8 to 12 questions

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)

Work Design

7 to 11 questions

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

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

Learning curves

Quality

9 to 14 questions

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)

Systems Engineering, Analysis, and Design

8 to 12 questions

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)

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