2024BCA3FS113 Website Designing Using Content Management System

Divya p FACULTY

Internal (20) External 80   Credit : 4 Lecture Hours per Week : 4 Module III  : Data Collection Data Collection: Types of Data , Primary Vs Secondary Data ,Methods of Primary data Collection, Survey Vs Observation ,Experiments, Construction of Questionnaire and Instrument, Validation of Questionnaire, Sampling plan, sample size, sampling methods, Determinants of optimal sample size, Sampling techniques, Probability Vs non probability methods . Module IV  : Data Processing   Data Processing : Processing Stages , Editing, Coding and data entry, Validity of data, Qualitative Vs Quantitative data analysis, Frequency table, Contingency table, Graphs, Measures of central tendency and index number, Testing of Hypothesis, Bivariate and multivariate statistical techniques, Factor analysis, Discriminant analysis, Cluster analysis, Interpretation. Objectives  To enable students for acquiring basic knowledge in business research methods and to develop basic skill in them to conduct survey researches and case study .  

Divya p FACULTY

Internal (20) External 80   Credit : 4 Lecture Hours per Week : 4 Module III  : Data Collection Data Collection: Types of Data , Primary Vs Secondary Data ,Methods of Primary data Collection, Survey Vs Observation ,Experiments, Construction of Questionnaire and Instrument, Validation of Questionnaire, Sampling plan, sample size, sampling methods, Determinants of optimal sample size, Sampling techniques, Probability Vs non probability methods . Module IV  : Data Processing   Data Processing : Processing Stages , Editing, Coding and data entry, Validity of data, Qualitative Vs Quantitative data analysis, Frequency table, Contingency table, Graphs, Measures of central tendency and index number, Testing of Hypothesis, Bivariate and multivariate statistical techniques, Factor analysis, Discriminant analysis, Cluster analysis, Interpretation. Objectives  To enable students for acquiring basic knowledge in business research methods and to develop basic skill in them to conduct survey researches and case study .  

Divya p FACULTY

Minor Semester III Academic Level 200-299  Credit :4 TOTAL mark: 100  External (70) + Internal (30) Per week Total Hours: 4  Course Summary          This course comprises four main modules: Lattice, Boolean Algebra, System of Equations, and Eigenvalue and Eigenvectors. Module I introduce concepts like ordered sets and lattices, while Module II explores Boolean Algebra and its applications. Module III covers linear systems of equations, including Gauss elimination and determinants. Finally, Module IV delves into Eigenvalue and Eigenvectors, offering insights into matrix properties and applications.  Course Outcome  CO1: Analyse Lattices and Boolean Algebra . CO2: Apply Matrix Operations and Linear Systems . CO3: Investigate Eigenvalue and Eigenvector Problems.  Textbook 1. Theory and Problems of Discrete mathematics (3/e), Seymour Lipschutz, Marc Lipson, Schaum's Outline Series.  2. Advanced Engineering Mathematics (10/e), Erwin Kreyzsig, Wiley India. MODULE I Lattice (Text 1)   1 14.2 Ordered set 2 14.3 Hasse diagrams of partially ordered sets 3 14.5 Supremum and Infimum 4 14.8 Lattices 5 14.9 Bounded lattices, 14.10 Distributive lattices 6 14.11 Complements, Complemented lattices MODULEII Boolean Algebra (Text 1)    7 15.2 Basic definitions 8 15.3 Duality 9 15.4 Basic theorems 10 15.5 Boolean algebra as lattices 11 15.8 Sum and Product form for Boolean algebras 12 15.8 Sum and Product form for Boolean algebras Complete Sum and Product forms  MODULE lII System of Equations (Text 2)   13 7.1 Matrices, Vectors: Addition and Scalar Multiplication 14 7.2 Matrix Multiplication (Example 13 is optional) 15 7.3 Linear System of Equations- Gauss Elimination 16 7.4 Linear Independence- Rank of a matrix- Vector Space (Proof   Theorem 3 is optional)  17 7.5 Solutions of Linear Systems- Existence, Uniqueness (Proof of Theorem 1, Theorem 2 and Theorem 4 are optional) MODULE IV Eigen Value and Eigen Vectors (Text 2)  18 7.6 Second and Third Order Determinants- up to and including  Example 1 19 7.6 Second and Third Order Determinants- Third order determinants 20 7.7 Determinants- Theorem 2, Theorem 3 and Theorem 4 are optional) 21 7.8 Inverse of a Matrix- Gauss- Jordan Elimination (Proof Theorem 1, Theorem 2, Theorem 3 and Theorem 4 are optional) 22 8.1 The Matrix Eigenvalue Problem- Determining Eigenvalues and Eigenvectors (Proof of Theorem 1 and Theorem 2 are optional)  V Open Ended Module   Relation on a set, Equivalence relation and partition, Isomorphic ordered sets, Wellordered sets, Representation theorem of Boolean algebra, Logic gates, Symmetric, Skew-symmetric and Orthogonal matrices, Linear Transformation.  References: 1. Howard Anton & Chris Rorres, Elementary Linear Algebra: Application (11/e) : Wiley 2. Ron Larson,Edwards, David C Falvo : Elementary Linear Algebra (6/e), Houghton Mi_in Harcourt Publishing Company (2009) 3. Thomas Koshy - Discrete Mathematics with Applications-Academic Press (2003) 4. George Gratzer, Lattice theory: First concepts and distributive lattices. Courier Corporation (2009) Note: 1) Optional topics are exempted for end semester examination. 2) Proofs of all the results are also exempted for the end semester exam.     

Divya KK

After the completion of the course students should be able to:-● Correlate the various phases of the evolution of Indian writing in English.● Delineate the thematic concerns, genres and trends of Indian writing in English .● Recognize the pluralistic aspects of Indian culture and identity.● Determine how and why Indian literature emerged as a distinct field of study.● Identify the development of history of Indian English literature from its beginning to thepresent day.● Interpret the works of great writers of Indian writers in English.● Demonstrate, through discussion and writing, an understanding of significant cultural andsocietal issues presented in Indian English literature.

RAJULA C M

BUSINESS RESEARCH METHODS

ASHIFA N T PG Dept of Commerce

Module I: Management Accounting: Nature and Scope - Difference between cost Accounting, Financialaccounting and Management accounting - Recent trends in Management Reporting. (05 Hours, 5 marks)Module II: Analysis and Interpretation of Financial Statements: Meaning - Types and Methods of FinancialAnalysis - Comparative Statements - Trend Analysis - Common size Statements (aPage 23 of 59general discussion only). (10 Hours, 10 marks)Module III Ratio Analysis: Meaning - Nature - uses and limitations of Ratios - Liquidity, Profitability,Turnover, Solvency, Leverage. Market test Ratios. Construction of Financial Statements from ratios - Judgmentof financial stability through ratios - (Focus to be given to problems solving and Interpretation skills) (25 Hours,25 marks)Module IV: Fund Flow and Cash Flow Analysis: A. Fund Flow Statements: Meaning and concept of Fund -Current and Non Current Accounts Flow of fund - Preparation of Fund Flow statement - Uses and Significance.B. Cash Flow Statement: Difference between Fund flow Statement and Cash flow Statement - Preparation ofCash Flow Statement as per AS - 3 Norms - Direct and Indirect methods (Stress to be given to Problems). (25hours, 25 marks)Module-V: Managerial Decision making with the help of CVP Analysis : Marginal Costing - Fixed CostVariable Cost - Contribution - P/V Ratio - Break Even Analysis - Algebraic and Graphic presentation - Decisionmaking : Fixation of Selling Price - Exploring new markets - Make or Buy - Key Factor - Product Mix - Operateor Shutdown. (15 Hours, 15 marks)(Theory and Problems may be in the ratio of 40% and 60% respectively).

ASHIFA N T PG Dept of Commerce

BCM3BO3: BUSINESS REGULATIONSCourse objectives: To familiarize the students with various laws in force on establishmentand running of business in the country and the legal aspects to be observed.

Pradeep kumar TMK Kumar

  The course aims to present the learner with the advanced structures of the English Language in a contextualized graded manner. The objective is to equip the learner with the ability to integrate grammatical knowledge with real-life language uses and effectively use grammatically appropriate language for performing different functions. By fine- tuning the knowledge of grammar, it attempts to enhance the learner’s communicative competence.