36-751 Advanced Statistical Computing

6 units, Carnegie Mellon University

A projectbased course in statistical computing. Students will choose individual projects on computing topics related to statistical modeling and practice, including databases, parallel and cluster programming, big data frameworks e.g. Spark or Hadoop, algorithms and data structures, numerical methods, and other topics based on student interest. The course will include introductions to each topic as well as student presentations on the results of their projects. Multiple programming languages will be supported. Recommended prerequisite 36650 or 36750

Prerequisites: 36-750 (min B)

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