Department of Statistics

 

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Learning Objectives:

Upon completion of the program, students should:

  1. Demonstrate knowledge of probability and the standard statistical distributions.
  2. Demonstrate knowledge of fixed-sample and large-sample statistical properties of point and interval estimators.
  3. Demonstrate knowledge of the properties of parametric, semi-parametric and nonparametric testing procedures.
  4. Demonstrate the ability to perform complex data management and analysis.
  5. Demonstrate the ability to apply linear, nonlinear and generalized linear models.
  6. Demonstrate understanding of how to design experiments and surveys for efficiency.
  7. Demonstrate knowledge of classical and repeated measures multivariate methods and computational techniques.

Outcomes:

  • Students will formulate complete, concise, and correct mathematical proofs.
  • Students will frame problems using multiple mathematical and statistical representations of relevant structures and relationships and solve using standard techniques.
  • Students will create quantitative models to solve real world problems in appropriate contexts.
  • Students will effectively use professional level technology tools to support the study of mathematics and statistics.
  • Students will clearly communicate quantitative ideas both orally and in writing to a range of audiences.
S.No Name of the Faculty Designation   Profile
1 A.Muni Ratnam Contract Lecturer click here