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Subject Code                 Subject Name (Laboratory Course)               Category   L  T  P  C
                  BA19211                  Computer Applications For  Business               CC       0  0  4  2
               Objectives:
                   The objective of this course is to provide an insight into basic features of Computer Systems and their
                
                   Applications in Managerial Decision Making.

                                                      List of  Experiments
                1   MS-Word Mail Merge & Short-Cut Keys
                2   MS-Word- Resume Building Exercise With Insert Table and Formatting
                3   MS-Power point - Creation of slides, animation, and templates
                4   MS-Power point-Designing Presentations–Slide show control
                5   MS-Excel Applications and Short Cuts
                6   MS-Excel - Graphs and Charts and Formulas- Logical Functions
                7   MS-Excel Calculation of Time Value of Money
                8   MS-Excel Calculation of Equated Monthly Instalments
                9   Ms- Excel Calculation of IRR and NPV, Extended Experiment/ Mini Project Work.
               10  Descriptive Statistics
               11  Hypothesis  - Parametric- Compare Means- t Test, Paired t test, Independent Sample t test, One Way ANOVA
               12  Hypothesis  - Parametric- Two Way ANOVA
               13  Hypothesis – Non-parametric- Chi-square, U Test, H Test, K-S Test
               14  Correlation
               15  Regression, Extended Experiment/ Mini Project Work.
                                                                                   Total Contact Hours   :   60
                      Spreadsheet Software and
                      Data Analysis Tools
                                                                                      TOTAL: 60 PERIODS
               REQUIREMENTS for a batch of 30 students

                   1.  Personal Computers – 30 nos
                   2.  Any licensed Spreadsheet and Analysis software like Microsoft Excel, SPSS etc– 30 user licenses

               Course Outcomes: After completing the course, the Learners should be able to :
                   Demonstrate how analytical techniques and statistical methods can enhance decision making by converting data
                
                   to information and insights for decision making.
                   Critically evaluate various short-term forecasting and regression models and identify their appropriate use and
                
                   limitations.
                   Effectively communicate the analysis, outcomes, assumptions and implications through spreadsheet models and
                
                   presentations.
                  Interpret the analytical model results in the context of business situation
                  Prepare and present reports

               Reference Books(s) / Web links:
                                                                         th
                1   David M. Levine et al, “Statistics for Managers using MS Excel’ (6  Edition) Pearson, 2010.
                   David  R.  Anderson,  et  al,  ‘An  Introduction  to  Management  Sciences:    Quantitative  approaches  to  Decision
                2            th
                   Making, (13  edition) South-Western College Pub, 2011.
                   David  R.  Anderson,  et  al,  ‘An  Introduction  to  Management  Sciences:    Quantitative  approaches  to  Decision
                3            th
                   Making, (13  edition) South-Western College Pub, 2011.
                                                                                         rd
                   Wayne L. Winston, Microsoft Excel 2010:  Data Analysis & Business Modeling, 3  edition, Microsoft Press,
                4
                   2011.
                   Vikas Gupta, Comdex Business Accounting with Ms Excel, 2010 and Tally ERP 9.0 Course Kit, Wiley India,
                5
                   2012.
                6   KiranPandya and SmritiBulsari, SPSS in simple steps, Dreamtech, 2011.

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