SYLLABUS

First Year
First Semester Second Semester
Foundation of Human Skill - I Foundation of Human Skill - II
Finance & Cost Accounting Industrial Law
Business Law Computer Application in Business
Quantitative Methods for Business - I Business Environment
Effective Communication - I Managerial Economics - I
Principles of Management - I Production Management
Introduction to Computers Environmental Management
Second Year
Third Semester Fourth Semester
Management Accounting International Marketing
Managerial Economics - II Elements of Direct and Indirect Taxes
Marketing Management Export - Import Procedures and Documentation
Material Management Management of Small Scale Industries
Effective Communication - II Productivity and Quality Management
  Public Relations Management
Third Year
Fifth Semester Sixth Semester
Human Resource Management Enterpreneurship
Service Sector Management Quantitative Methods for Business - II
Financial Management Marketing Research
Elements of Logistics Management Indian Management Thought & Practises
Management of Co -operatives Elective Paper - I
Econometrics
International Finance
Rural Marketing Elective Paper - II
Special Study in Finance
Special Study in Marketing

First Year: First Semester

1.1 Foundation of Human Skill - I

Basics of human nature, influence of heredity and environment, intelligence, abilities, basic dimensions of individual interaction in society, characteristics of groups and their behavior, nature of groups at work, leadership.


1.2 Finance And Cost Accounting

Introduction to accountancy, Preparation of final statements of Accounts with adjustments, importance and advantages of cost accounting, elements of cost, cost classification, preparation of cost sheets


1.3 Business Law

Indian Contract Act, Companies Act, Partnership Act, Negotiable Instruments Act, Laws relating to Agencies, Sureties, Mortgages, Sale of Goods, Insurance, Excise and Customs.


1.4 Quantitative Methods for Business - I

  1. Basic Statistical Concepts
  2. Summarization of Data: Frequency Distribution; Measures of Central Tendency; Measure of Dispersion; Relative Dispersion - Skewness, Kurtosis.
  3. Elementary Probability Theory: Relative Frequency Approach; Axiomatic Approach: Subjective Probability: marginal & Conditional Probability : Independence/Dependence of Events
  4. Elementary Statistical Distributions: Binomial, Poisson, Normal, Sampling, Estimation; Point and Interval, Sampling Distribution mean and proportion, Testing of Hypothesis.
  6. Simple correlation and regression, Spearman's rank correlation
  7. Types of sampling, simple and random sampling, stratified sampling and cluster sampling
  8. Time series - Components of Time Series. Estimation of Trends and Seasonal Components