Available courses

Complementary course of BA English Third Sem

COURSE TITLE: SPECTRUM

COMMON ENGLISH

SEMESTER: 4

CLASSES: BA ENGLISH, BA MALAYALAM, B.Sc Statistics

COURSE: BA ENGLISH

SEMESTER: 2

COMMON ENGLISH COURSE

COURSE: BA ENGLISH

SEMESTER: 2

CORE COURSE

BA ENGLISH CORE

SEMESTER: 5


COURSE: INDIAN WRITING IN ENGLISH

SEMESTER: 5

CLASS: BA ENGLISH LANGUAGE AND LITERATURE


COURSE: WAYS WITH WORDS

COMMON ENGLISH

CLASSES: BA ENGLISH/BA MALAYALAM/B.Sc STATISTICS/B.COM

SEMESTER: 1

BA ENGLISH  2020

SEMESTER 1

CORE COURSE

TITLE: INTRODUCING LITERATURE 

CONTACT HOURS: 6/WK

Common English Course in Semester One in UG Programme for BA/B.Sc/B.Com

Semester: ONE

Course Name: Transactions: Essentials Skills in English

Total Modules in the Course: 5

    • Programme : BA English Language and Literature
    • Semester : 3
    • Course: Core
    • Module 2 and 3

Programme : BA English Class -Fifth Semester This a core course in fifth semester

STA1B01: OFFICIAL STATISTICS AND PROBABILITY
Objective:
1. To summarize the data in a diagrammatic and graphical way, obtain descriptive
statistics and make possible & appropriate interpretations
2. To understand various approaches to probability & compute probabilities.

STA4B04: TESTING OF HYPOTHESIS




Complementary course of BA English 1st  Semester starting from  November 2020.

Unit-1: Discrete distributions: Random variables, Moments and Moment generating functions,
Probability generating functions, Discrete uniform, Binomial, Poisson, Geometric, Negative binomial,
Hyper geometric and Multinomial distributions, Power series distributions.
Unit-2: Continuous distributions: Uniform, Normal, Exponential, Weibull, Pareto, Beta, Gamma,
Laplace, Cauchy and Log-normal distributions. Pearsonian system of distributions, location and scale
families.
Unit-3: Functions of random variables: Joint and marginal distributions, Conditional distributions and
independence, Bivariate transformations, Covariance and Correlations, Bivariate normal distributions,
Hierarchical models and Mixture distributions, Multivariate distributions, Inequalities and Identities.
Order statistics.
Unit-4: Sampling distributions: Basic concept of random sampling, Sampling from normal
distributions, Properties of sample mean and variance. Chi-square distribution and its applications, tdistribution and its applications. F-distribution- properties and applications. Non-central Chi-square, t,
and F- distributions.