Dr. C. H. Magalla

SENIOR LECTURER – GRADE I

Department of Statistics
University of Colombo
Colombo 00300
Sri Lanka

Office: Department of Statistics
Work Phone: +94 11-259 0111
Work Fax: +94 11-259 0111
Email: champa@stat.cmb.ac.lk

Academic & Professional Qualifications

  • PhD 2012

    PhD

    Kansas State University, USA

  • BSc 2002

    BSc (Statistics)

    University of Colombo

Teaching

Undergraduate

  • “Linear Models” for the 4th Year Statistics, Statistics + Computer Science, special students.
  • “Multivariate Data Analysis” for the 4th Year Statistics, Statistics + Computer Science, Industrial Statistics, Financial Mathematics, Statistics + Mathematics + Computer Science special students.
  • “Applied Multivariate Methods” for IS general and Applied Statistics Theme students.
  • “Computational Statistics” for the 4th Year Statistics, Statistics + Computer Science students.
  • “Computer Intensive Methods” for the 4th Year Industrial Statistics.
  • “Generalized Linear Models” for the 4th Year Statistics, Statistics + Computer Science, Industrial Statistics special students.
  • “Applied Statistical Models” for the 3rd Year Applied Statistics Theme students.
  • “Applied Nonparametric Methods” for the 2nd year students.
  • “Laboratory II – Statistical methods using R” for the UCSC 2nd year students.
  • “Medical Statistics” for the 1st year students.
  • “Literature Review” for the 4th Year Statistics, Statistics + Computer Science, Industrial Statistics students.
  • “Probability and Statistics” for the BSc in Electronics and Automation Technologies – External Degree students
  • “Computational Statistics” for the BSc in Electronics and Automation Technologies – External Degree students

 

Graduate

  • “Statistical Methods” for the MSc in Applied Statistics students.
  • “Linear and Nonlinear Models” for the MSc in Applied Statistics students.
  • “Multivariate methods” for the MSc in Applied Statistics students.
  • “R Software for Data Analysis” for the MSc in Actuarial Science students.
  • “Linear and Nonlinear Modelling” for the MSc in Bioinformatics students.

Research Interests

  • Linear and Nonlinear Models
  • Multivariate Data Analysis
  • Computational Statistics