# Engineering

## ECM2102 - Management and Management Science (2010)

MODULE TITLE CREDIT VALUE Management and Management Science 15 ECM2102 Prof David Zhang (Coordinator), Dr Mark Errington, Dr Sarah Ward, Ms Aileen MacGregor
DURATION: TERM 1 2 3
DURATION: WEEKS
DESCRIPTION - summary of the module content
AIMS - intentions of the module
To introduce students to the economic environment, tasks carried out and some elementary tools used by engineering managers. Knowledge gained from this course will be useful for the appreciation of higher level courses, especially in quantitative business analysis.
INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)
Note: List A comprises core outcomes that will be covered fully in lectures and must be achieved by all students to meet the minimum university requirement for progression. List B comprises outcomes that are EITHER more difficult to achieve OR are to be achieved by private study (or both). All outcomes will be assessed, and coverage of List B outcomes is essential for both BEng and MEng students. A: THRESHOLD LEVEL Economics and Total Design - the design of products to satisfy the â€˜Marketâ€™: Economic environment - market systems; evolution of products and companies; real world market deficiencies; trade cycles; differences between the size and power of the players; monopolies; cartels; price fixing; only controls price, does not make social judgements; political interference in market; the National Economy; Gross Domestic Product (GDP); inflation; supplier customer relationships, monopolies. Total design briefs: Product Design Specifications (PDS); Functional, Safety, Legal and Economic requirements. Design for: the market, manufacture, minimum life cycle cost. Statistics. Elementary statistical presentation and analysis, inference and significance testing. Data: types and representation of mean, standard deviation; Median, percentiles, interquartile range; Permutations and combinations. Probability: combining probabilities, conditional, trees. Distributions: shape, skewness; Uniform distribution, Binomial distribution, Normal distribution. Chi squared test. Correlation: Pearson product moment correlation coefficient. Scatter graphs and line of best fit. Hypothesis testing. Project Planning. Six Sigma and its application to control of manufacturing processes. Critical path analysis and use of project planning software. B: GOOD TO EXCELLENT Government economic policies and attempts to control the economy; control of money supply, taxation, incomes and price policies; state Ownership, regulation. Probability for discrete and continuous data, Bayes theorem. Distributions: Poisson. Student distribution and test. Least squares regression line.
SYLLABUS PLAN - summary of the structure and academic content of the module
Economics: economic environment, market systems, government policy, management objectives, and financial constraints. Total design: product design specification and design for the market, manufacture and life cycle. Statistics: elementary statistical presentation and analysis inference, significance testing. Project planning: critical path analysis.
LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
SUMMATIVE ASSESSMENT (% of credit)
 Coursework Written Exams 40 60
DETAILS OF SUMMATIVE ASSESSMENT
DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
RE-ASSESSMENT NOTES
RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener