DAS 714 – Advanced Computational Statistics

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About Course

  • Understand computational statistical methods, including Monte Carlo simulation, bootstrapping, and Bayesian inference, and their role in modern data analysis.
  • Apply programming tools to implement computational techniques for solving complex statistical and data science problems.
  • Analyze and interpret real-world datasets using advanced computational methods to support informed decision-making across various domains.

Course Content

Week 1: Introduction to Computational Statistics

  • LO1: Define the fundamental concepts and objectives of computational statistics in modern data analysis
  • LO2: Explain the role of computational methods in solving complex statistical problems
  • LO3: Describe the key statistical programming tools and software used in computational statistics

Week 2: Monte Carlo Methods I

Week 3: Monte Carlo Methods II

Week 4: Bootstrapping Techniques I

Week 5: Bootstrapping Techniques II

Week 6: Bayesian Inference I

Week 7: Bayesian Inference II

Week 8: Midterm Exam or Assignment

Week 9: Applications in Big Data Analysis

Week 10: Non-Parametric Methods

Week 11: High-Dimensional Data and Dimensionality Reduction

Week 12: Model Validation and Selection

Week 13: Ethical Considerations in Computational Statistics

Week 14: Future Trends in Computational Statistics

Week 15: Course Review

Week 16: Final Test or Project

Florida Coastal University

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