Course Syllabus

Pre-requisites

CM 1110

Remark:

This course module contains two main sections: (1) mathematics and (2) statistics. This syllabus is designed for the statistics section. Lectures for mathematics section and statistics section are conducted by two lecturers as two separate sub modules (1.5 hour lectures/Week). End Semester Examination is conducted as a single examination.

Learning Outcomes

On successful completion of this module, students will be able to plan more carefully the design of experiment in advance which provide evidence for or against theories of cause and effect and make inferences about population characteristics based on sample information and thereby solve data analysis problems in different application domains. (R(https://cran.r-project.org/) and RStudio are also freely available to install on your own computer). Get the Open Source Edition of RStudio Desktop. RStudio allows you to run R in a more user-friendly environment.

Outline Syllabus

Functions of Several Variables
Linear Algebra
Coordinate Systems & Vectors
Differential Equations
Statistical Distributions
Estimation
Hypothesis Testing
Contingency tables
Design of Experiments

Method of Assessment

Mid-semester examination
End-semester examination

Recommended Texts

Casella, G., & Berger, R. L. (2002). Statistical inference (Vol. 2, pp. 337-472). Pacific Grove, CA: Duxbury.
Mood, A.M., Graybill, F.A. and Boes, D.C. (2007): Introduction to the Theory of Statistics, 3rd Edn. (Reprint). Tata McGraw-Hill Pub. Co. Ltd.
Montgomery, D. C. (2017). Design and analysis of experiments. John wiley & sons.

Lecturer

Dr. Priyanga D. Talagala

Schedule

Lectures:

Friday [9.15 am - 10.45 am]

Tutorial:

Friday [11.00 am - 12.30 pm]

Consultation time:

Friday [8.15 am to 9.00 am]

CM 2110 Calculus and Statistical Distributions