- Teacher: Nisha Oommen
Course Outcomes:
CO1: Examine fundamental concepts of Vector spaces, subspaces, basis, dimension and coordinates. (A)
CO2: Apply the properties of linear transformations, matrix representations, linear functionals, double dual spaces, and the transpose of linear transformations. (A)
CO3: Compute eigenvalues and eigenvectors of linear transformations and explain simultaneous triangulation and diagonalization. (A)
CO4: Explain Direct Sum Decompositions, Invariant Direct Sums and Primary Decomposition Theorem. (An)
- Teacher: Nisha Oommen
CO1: Describe the general characteristics of random variables
CO₂: Explain various properties of some important random variables and establish the applications of probability distributions
CO3:Illustrate the uses of Tchebycheff’s Inequality, Laws of Large Numbers and Central Limit theorem
CO4: Explain the concepts of Statistic and Sampling distribution
CO5:Solve numerical problems associated with topics covered in various modules using R built-in functions
- Teacher: rajitha cs
X
- Teacher: jiju gillariose