MAL2FA104(1) വിനിമയ മലയാളവും സർഗാത്മക രചന

The Course focuses on the skills required to equip learners to becomeconfident and effective in business and managerial communication. The course supports the learner to identify key points and critically evaluate information presented in lectures, presentation, and various audio & video formats, developing the effectiveness of communication, become competent in their fields, excel in collaborating fruitfully with others and adapt to different job environments.

Aswini Remeshan

To introduce students to experiences unique to women and to the fundamental percepts of the feminist movement.

Aswini Remeshan

Gender Perspectives in Literatures, designed for the undergraduate English Language and Literature programme, aims to explore the nuanced intersections of gender with identity, culture and power through a literary lens.

Pradeep kumar TMK Kumar

This course provides a comprehensive understanding of literary criticism by exploring diverse theoretical perspectives from antiquity to modern times. Learners will be able to delve into pivotal works by influential thinkers, gaining insights into various critical lenses used to analyze literature 

Divya p FACULTY

FOUNDATOINS OF BUSINESS ANALYTICS       Module 1: Introduction to Business Analytics & Probability Business Analytics Why Analytics Types of Business Analytics Random Experiment Sample Space and Events Probability Estimation using Relative Frequency Algebra of Events Fundamental Concepts of Probability Axioms of Probability Joint Probability Marginal Probability Independent Events Conditional Probability Applications of Simple ProbabilityBaye's Theorem  Module 2: Theoretical Distributions Random Variables Probability Density Function (PDF) Cumulative Distribution Function (CDF) of a Continuous Random Variable Binomial Distribution Poisson Distribution Normal Distribution Chi-Square Distribution Student’s t Distribution F Distribution

Divya p FACULTY

   Programme: BBA Course Title: Decision Science Course Type: Core Course Semester: I Academic Level : 2020–20 Credits: 4 Lecture per Week: 4 Pre-requisites  No pre-requisites required Course Summary Various concepts of Operations Research Identification and development of business solutions Use of quantitative techniques helps students understand tools required to solve optimal problems in management Course Outcomes (CO) CO1: Develop an understanding of basic management science techniques and their role in managerial decision-making CO2: Help students formulate business situations into quantitative models for optimal decision-making CO3: Build capabilities in students for analyzing different business problems using management science and finding optimal solutions within constraints CO4: Enable students to apply techniques such as linear programming in managerial decision-making CO5: Apply techniques to business decision-making situations CO6: Develop mathematical models for real-life business and management problems Decision Science  syllabus  Module I – Introduction to Operations Research Meaning of Operations Research (OR) Scope of Operations Research Limitations of Operations Research Methodology of Operations Research OR Models Applications of Operations Research Importance of Ethics in Operations Research Linear Programming: Basic concepts Applications in management decision-making Mathematical formulation of Linear Programming Problems Graphical solution of Linear Programming Models Module II – Transportation and Assignment Problems Transportation Problem: Initial Basic Feasible Solution North West Corner Rule Vogel’s Approximation Method (VAM) Test for Optimality: Modified Distribution (MODI) Method Assignment Problem: Introduction Solution methods Hungarian Method Maximization in Assignment Problems Unbalanced Assignment Problems Travelling Salesman Problem