Quantitative Methods for Computer Students
An Active-learning Approach
Published in May 1993
Book
Paperback/Softback
400 pages
978-1-873981-17-7 (ISBN)
Description
Offering teaching material for a quantitative methods course for BTEC Higher National Computing, computing degree courses and other computing courses with a quantitative methods component, this book is accompanied by a free Lecturers' Supplement. The book aims to enable students to acquire a sound grasp of both the underlying mathematics of constructing an accurate and workable application, and the skills of mathematical model formulation and validation, interpretation of results and model evaluation. The three-part, activity-based structure is suited to students who have come to expect an investigative and problem-solving approach in their mathematical studies. Students first identify problems in realistic contexts and are then directed to the appropriate information on principles and practices to solve them. Further tasks and assignments (with and without answers) develop knowledge and skills.
More details
Series
Language
English
Place of publication
London
United Kingdom
Target group
Adult education
College/higher education
Professional and scholarly
Dimensions
Height: 275 mm
Width: 215 mm
ISBN-13
978-1-873981-17-7 (9781873981177)
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Schweitzer Classification
Content
Part 1 Scenarios and related tasks: an ongoing scenario centred around a college which has a great variety of problems requiring solutions reached by using computer technology. Part 2 Student information bank: mathematical models - concept of a model, the modelling process, approximate nature of models; functions and graphs - functions as a means of expressing relationships, interpreting graphs, standard functions and graphs, use of spreadsheets, curve sketching; numerical analysis - numbers - computer representation, accuracy and errors, iterative methods; statistical analysis - data collection, display and analysis, correlation and regression, elementary probability, decision trees, probability distributions, statistical tests, time series; specialized problem-solving techniques - simulation techniques, linear programming, transportation and assignment, network analysis (shortest route, travelling salesman), network analysis (planning, critical path), inventory control; supporting mathematical topics - arithmetic (number bases, modulo arithmetic), algebraic manipulation, sequences and series, differentiation, set theory, elementary logic, matrices, simple topology. Part 3 Further tasks and investigation.