Fall 2026 Lectures

Lecture Videos for Fall 2025 In Chronological Order:

(lectures will be linked to their corresponding pages once they are available)
  • Lecture 0 (2026-08-20): Introduction to the Course and Its Policies
  • Lecture A1 (2026-08-25): Introduction to Modeling
  • Lecture A2 (2026-08-27): Introduction to Simulation Modeling
  • Lecture B1 (2026-09-01): Fundamental Concepts of Discrete-Event Simulation
  • Lecture B2 (2026-09-03): DES Examples, Part I
  • Lecture B3 (2026-09-08): DES Examples, Part II (and post-lab discussion for Lab 2)
  • Lecture C1 (2026-09-10): Basic Simulation Tools and Techniques
  • Lecture C2 (2026-09-15): Beyond DES Simulation – SDM, ABM, and NetLogo (and pre-lab discussion for Lab 4 and post-lab discussion for Lab 3)
  • Lecture D1 (2026-09-17): Probability and Random Variables
  • Lecture D2 (2026-09-22): Probabilistic Models (and post-lab discussion for Lab 4 if time permits)
  • Lecture E1 (2026-09-24): Random-Number Generation (and a little bit of missed Lecture D2 content)
  • Lecture E2 (2026-09-29): Random-Variate Generation

  • Lecture F (2026-10-01): Midterm Review

  • Lecture G1 (2026-10-15): Input Modeling, Part 1 (Data Collection)
  • Lecture G2 (2026-10-20): Input Modeling, Part 2 (Selection of Model Structure)
  • Lecture G3 (2025-10-22): Input Modeling, Part 3 (Parameter Estimation and Goodness of Fit)
  • Lecture H (2026-10-27): Verification, Validation, and Calibration of Simulation Models
  • Lecture I (2026-10-29): Statistical Reflections
  • Lecture J1 (2026-11-03): Estimation of Absolute Performance, Part I (Introduction to Point and Interval Estimation)
  • Lecture J2 (2026-11-05): Estimation of Absolute Performance, Part II (Terminating Systems/Transient Simulations)
  • Lecture J3 (2026-11-10): Estimation of Absolute Performance, Part III (Non-Terminating Systems/Steady-State Simulations)
  • Lecture J4 (2026-11-12): Estimation of Relative Performance
  • Lecture K1 (2026-11-17): Variance Reduction Techniques, Part I (CRNs and Control Variates)
  • Lecture K2 (2026-11-19): Variance Reduction Techniques, Part II (AVs and Importance Sampling)
  • Lecture L (2026-11-24): Course Wrap-Up

  • Lecture M (2026-12-01): Final Exam Review [video, Zoom video, audio]

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