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Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Quantitative Techniques.
Provides a comprehensive overview of quantitative techniques used in decision making. It covers topics such as linear programming, integer programming, nonlinear programming, decision theory, game theory, and multicriteria decision making. The book is written in a clear and concise style and is suitable for both undergraduate and postgraduate students of management.
Discusses the practical applications of various quantitative techniques used in management. It covers topics such as linear programming, transportation models, assignment models, inventory models, queuing models, simulation, and network analysis. The book is written in a clear and concise style and is suitable for both undergraduate and postgraduate students of management.
Provides a comprehensive overview of quantitative techniques used in business decision making. It covers topics such as statistics, forecasting, regression analysis, decision theory, and optimization. The book is written in a clear and concise style and is suitable for both undergraduate and postgraduate students of business.
Provides a comprehensive overview of quantitative techniques used in operations management. It covers topics such as linear programming, inventory management, queuing theory, and simulation. The book is written in a clear and concise style and is suitable for both undergraduate and postgraduate students of operations management.
Provides a comprehensive overview of quantitative techniques used in computer science. It covers topics such as algorithms, data structures, and complexity theory. The book is written in a clear and concise style and is suitable for both undergraduate and postgraduate students of computer science.
Provides a comprehensive coverage of quantitative techniques used in various fields such as business, economics, and engineering. It covers topics such as linear algebra, calculus, probability, statistics, and optimization. The book is written in a clear and concise style and is suitable for both undergraduate and postgraduate students.
Provides an introduction to quantitative techniques used in public administration. It covers topics such as statistics, forecasting, and decision theory. The book is written in a clear and concise style and is suitable for both undergraduate and postgraduate students of public administration.
Provides an introduction to quantitative techniques used in education. It covers topics such as statistics, research methods, and data analysis. The book is written in a clear and concise style and is suitable for both undergraduate and postgraduate students of education.
Provides an introduction to quantitative techniques used in marketing. It covers topics such as market research, forecasting, segmentation, and optimization. The book is written in a clear and concise style and is suitable for both undergraduate and postgraduate students of marketing.
For more information about how these books relate to this course, visit:
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