Information Systems and Quantitative Techniques

CS_Foundation :: Paper 5: [One paper: Three hours - 100 marks]

Level of Knowledge :

Basic knowledge.

Objective . . .

To provide an awareness of basic concepts of information systems and various quantitative techniques to the students.

Detailed Contents . . .


  1. Systems - An Overview — Systems - definition, characteristics, types of systems, sub-systems, super systems, and total systems; systems concepts in business, systems approach to management problem solving.

  2. Information and Information Systems - An Overview — Information and data - definition and distinctions, information as a corporate resource, features and qualities of information; types of information; process of generating information; value and cost of information; information needs at various levels of management; factors influencing information needs; information systems - definition and elements; information system activities; types of information systems; information systems in business management; recent trends in information systems.

  3. Computer Hardware - An Overview — Computers - an introduction, benefits and drawbacks of computers; computer system concept; types, categories, generation and trends in computers; components of a computer system; primary and secondary storage; computer storage capacities; computer peripherals - inputs, output and storage devices; number system (binary; octal; hexadecimal and their operations) for computers; security of computer hardware, hardware standards, acquisition and selection of computers.

  4. Computer Software - An Overview — Computer software - an introduction, software trends; systems software - operating systems, utilities, assembler, compiler, linker, loader; multi-programming, multiprocessing, time sharing, batch processing, on-line and real time processing; application software; computer virus and crimes.

  5. Data Base — Data base concepts, data structure, data base management system; data base files.

  6. Programming - An Overview — Programming concepts, stages of programming; programme development approach; algorithm, flow charting concepts; high level languages; machine level languages.


  • Prentice Hall of India Pvt. Ltd.
    1. Managing with information
      • Jerome Kanter
  • Tata Mc Graw Hill Company
    1. Management information system, conceptual Foundations
      • Gordon B Davis& Margrethe H Olson
  • Excel Books
    1. Fundamentals of information Technology
      • Deepak Bharhoke
  • Leon Tech Worlds
    1. Fundamentls of information Technology
      • Alexis Leon & Mathew Leon
  • Pearson Education Asia.
    1. Information systems - A Management perspective
      • Steven Millers


  • Mc Graw Hill Books Company
    1. Computer Data Processing
      • Gordon B Davis
  • Prentice Hall of India, Pvt Ltd.
    1. Information systems - Success in 21st century
      • Uma Gupta
  • Vikas publishing House Pvt. Ltd.
    1. Analysis design and implementation of information system
      • Ashok Kumar Sharma
  • Excel Books
    1. Information systems for managers
      • Ashok Arora & Akshya Bhatia


  1. Quantitative Techniques - An Introduction — Classifications of quantitative techniques; applications of quantitative techniques to business and industry; limitations of quantitative techniques.

  2. Statistical Techniques
    1. Descriptive statistics - functions, scope, distrust and limitations of statistics.

    2. Statistical data collection - primary and secondary data, methods of collecting primary data, sources of secondary data, census and sample investigation.

    3. Presentation of statistical data - classification; tabulation; frequency distribution; diagrams and graphs.

    4. Statistical averages - importance and requisites of a good statistical average; types of averages - arithmetic mean, median, mode, geometric mean and harmonic mean, weighted average; relationship amongst different averages.

    5. Dispersion - meaning and significance of dispersion; methods of measuring dispersion - range, quartile; mean deviation, standard deviation, Lorenz Curve.

    6. Correlation and regression analysis (simple) - meaning and significance of correlation, types of correlation, methods of studying correlation - scattered diagram, Karl Pearson's coefficient of correlation; rank correlation; co-efficient of determination; regression analysis - meaning and significance, difference between correlation and regression, regression lines, regression equations, coefficient of regression; standard error of the estimate.

    7. Index numbers - definition and significance of index numbers, construction of index numbers, types of index numbers, consumer price index numbers, limitations of index numbers.

    8. Time series analysis - meaning, significance and components of time series, measurement of trend-graphic, semi-average, moving average and least square method, measurement of seasonal variations; forecasting.

  3. Linear Programming Technique - Basics — Meaning, advantages, limitations and business applications of linear programming; basic terminology; formulation of linear programming problem; graphic solution of linear programming problem.



  • Tata Mc Graw Hill Company
    1. Theory and problems of statistics
      • Murray R Spiegel & Larry J Stephens
    2. Quantitative Techinques in Management
      • vohra
  • Excell books
    1. Business statistics
      • R S Bhardwaj
    2. Quantitative Techinques in Management
      • vohra
  • Sultan Chand & Sons
    1. Statistical Methods
      • S P Gupta
  • Frank Sons, Daryaganj
    1. Fundamental of statistics
      • A K Agarwal & Sahib Singh
  • S. Chand & Company Ltd.
    1. Statistics
      • RSN Pilai & V Bagavathi
  • New Central Book Agency
    1. Business statistics
      • S Saha


  • Himalaya publishing House
    1. Fundamentals of statistics
      • S C Gupta

Other Relevant Books


Author Credit : Team Future Accountant

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