Fall 2025 Lectures

Lecture Videos for Fall 2025 In Chronological Order:
(lectures will be linked as they become available)

  • Lecture 0 (2025-08-21): Introduction to the Course and Its Policies
  • Lecture A1 (2025-08-26): Introduction to Modeling
  • Lecture A2 (2025-08-28): Introduction to Simulation Modeling
  • Lecture B1 (2025-09-02): Fundamental Concepts of Discrete-Event Simulation
  • Lecture B2 (2025-09-04): DES Examples, Part I
  • Lecture B3 (2025-09-09): DES Examples, Part II
  • Lecture C1 (2025-09-11): Basic Simulation Tools and Techniques
  • Lecture C2 (2025-09-16): Beyond DES Simulation – SDM, ABM, and NetLogo
  • Lecture D1 (2025-09-18): Probability and Random Variables
  • Lecture D2 (2025-09-23): Probabilistic Models
  • Lecture E1 (2025-09-25): Random-Number Generation
  • Lecture E2 (2025-09-30): Random-Variate Generation
  • Lecture F (2025-10-02): Midterm Review
  • Lecture G1 (2025-10-16): Input Modeling, Part 1 (Data Collection)
  • Lecture G2 (2025-10-21): Input Modeling, Part 2 (Selection of Model Structure)
  • Lecture G3 (2025-10-23): Input Modeling, Part 3 (Parameter Estimation and Goodness of Fit)
  • Lecture H (2025-10-28): Verification, Validation, and Calibration of Simulation Models
  • Lecture I (2025-10-30): Statistical Reflections
  • Lecture J1 (2025-11-04): Estimation of Absolute Performance, Part I (Introduction to Point and Interval Estimation)
  • Lecture J2 (2025-11-06): Estimation of Absolute Performance, Part II (Terminating Systems/Transient Simulations)
  • Lecture J3 (2025-11-13): Estimation of Absolute Performance, Part III (Non-Terminating Systems/Steady-State Simulations)
  • Lecture J4 (2025-11-18): Estimation of Relative Performance
  • Lecture K1 (2025-11-20): Variance Reduction Techniques, Part I (CRNs and Control Variates)
  • Lecture K2 (2025-11-25): Variance Reduction Techniques, Part II (AVs and Importance Sampling)
    • Also, if time permits: Lecture L (2025-11-25): Course Wrap-Up
  • Lecture M (2025-12-02): Final Exam Review

See also:

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