CS 5453: Empirical Methods

Instructor: Andrew H. Fagg

Many subareas of computer science and engineering are inherently empirical. Whether one is designing network routing algorithms, designing robots to navigate across harsh terrains, tuning database search parameters, or employing a machine learning algorithm to solve a robot control problem, there exist a number of common steps in the research process. These include: the proper construction of experimental questions, the design of methods to get at these questions, and the evaluation of the empirical results. In this graduate-level course, we will discuss the formulation of empirically-testable hypotheses as applied to different sub-fields of computer science and engineering, the design of experiments in order to test these hypotheses, and a range of statistical methods that are available for the evaluation and analysis of experimental results.

Topics will include:

Student responsibilities include: Readings:

Where: TBD

When: TBD

Prerequisites: Statistics (Math 4743, Math 5743, Math 4753, or IE 3293) and permission of the instructor.

In order to grant permission, I am looking for research experience or an advanced course in some empirical area (for example: networks (CS 4133/5133/G5143/G6143), robotics (CS 4023/5023), operating systems (CS 4113/5113), machine learning (CS G5033), artificial intelligence (CS G4013), database management (CS G4513), computer architecture (CS G5633))


fagg cs ou.edu

Last modified: Thu Nov 20 15:40:44 2008