Module 1 — Precision Measurement & Signal Science
Weeks 1–6 · Measurement performance, statistics, uncertainty, signal conditioning, filters, DAQ, and frequency-domain analysis.
Measurement System Performance
Accuracy, precision, resolution, sensitivity, linearity, hysteresis, deadband, and instrument selection criteria.
Study Week 1 → Week 2Statistical Analysis & Error Characterization
Systematic vs. random error, descriptive statistics, normal distribution, confidence intervals, and t-tests.
Study Week 2 → Week 3Uncertainty Analysis & Calibration
Kline-McClintock method, single vs. multiple-sample uncertainty, calibration standards, and reporting results.
Study Week 3 → Week 4Advanced Signal Conditioning
Instrumentation amplifiers, CMRR, Wheatstone bridge configurations, bridge excitation, and lead-wire compensation.
Study Week 4 → Week 5Active Filters & Data Acquisition
Butterworth and Chebyshev filters, anti-aliasing, DAQ architecture, sampling theorem, and quantization error.
Study Week 5 → Week 6Frequency Domain Analysis & Curve Fitting
Fourier series, DFT, FFT, power spectral density, windowing, and linear/nonlinear least-squares fitting.
Study Week 6 →Module 2 — Advanced Sensor Systems
Weeks 7–10 · Strain, force, temperature, pressure, flow, displacement, inertial sensing, and machine vision.
Strain, Force & Temperature Sensing
Gauge factor, rosette configurations, load cells, thermocouples, RTDs, thermistors, and radiation pyrometers.
Study Week 7 → Week 8Pressure Measurement
Piezoresistive and piezoelectric transducers, absolute/gauge/differential pressure, manometers, and diaphragm sensors.
Study Week 8 → Week 9Flow & Displacement Measurement
Pitot tubes, differential pressure meters, flow meter types, encoders, resolvers, LVDTs, and proximity sensors.
Study Week 9 → Week 10Inertial & Vision-Based Sensing
MEMS accelerometers and gyroscopes, IMU architecture, sensor fusion, camera fundamentals, and blob detection.
Study Week 10 →Module 3 — Dynamic System Modeling & Analysis
Weeks 11–13 · Differential equation models, Laplace transforms, transfer functions, step response, stability, and Bode plots.
Mathematical Modeling & Laplace Transforms
Newton-Euler mechanics, thermal/fluid analogies, Laplace properties, transfer functions, and block diagram algebra.
Study Week 11 → Week 12First- & Second-Order System Response
Time constant, damping ratio, natural frequency, settling time, overshoot, poles/zeros, and Routh-Hurwitz stability.
Study Week 12 → Week 13Frequency Response & System Identification
Bode plots, gain and phase margins, resonance, and extracting system parameters from experimental data.
Study Week 13 →Modules 4 & 5 — Feedback Control & System Integration
Weeks 14–15 · PID control theory, digital implementation, embedded systems, and complete mechatronic system design.
PID Control Theory
Open vs. closed-loop, PID actions, Ziegler-Nichols tuning, ITAE criterion, anti-windup, and derivative filtering.
Study Week 14 → Week 15Digital Control & System Integration
Controller discretization, interrupt-driven loops, finite state machines, advanced protocols, and sensor fusion.
Study Week 15 →Exam Study Guides
Practice problems, conceptual reviews, and worked solutions for each examination.
Midterm 1 Study Guide
Covers Modules 1–2 (Weeks 1–7): measurement science, statistics, uncertainty, signal conditioning, filters, DAQ, sensors.
Midterm 2 — Week 14Midterm 2 Study Guide
Covers Module 3 (Weeks 11–13): mathematical modeling, Laplace transforms, step response, stability, and Bode plots.
Final Exam — Finals WeekFinal Exam Study Guide
Comprehensive review of all modules with emphasis on PID control, digital implementation, and system integration.