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EHL Course Catalogue 2011-2012 - Ecole Hôtelière de Lausanne

EHL Course Catalogue 2011-2012 - Ecole Hôtelière de Lausanne

EHL Course Catalogue 2011-2012 - Ecole Hôtelière de Lausanne

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nutrients, carbohydrate, protein, fats, vitamins and minerals, and their physiological function in<br />

human health and disease. In the second half, they will be introduced to various application of<br />

nutrition as it relates to issues such as obesity and public health, activity and physical performance,<br />

international dietary references and menu planning, spa and wellness needs, and environmental and<br />

sustainability issues driving consumers and food choices today.<br />

� Objective<br />

� Upon successful completion of this course, the stu<strong>de</strong>nt should have acquired the necessary<br />

competencies to:<br />

� <strong>de</strong>monstrate a systematic un<strong>de</strong>rstanding of basic nutrition science as it relates to human<br />

physiology in health and disease;<br />

� use basic nutrition information to i<strong>de</strong>ntify possible opportunities for a competitive advantage<br />

in hospitality industry;<br />

� show the analytical skills nee<strong>de</strong>d to create or modify menus using healthy and sustainable<br />

food choices.<br />

8411AM – Advanced statistics<br />

40 hours of contact – 4 US quarter credits – 6 ECTS credits<br />

� Summary<br />

- Statistical surveys (survey techniques, building a questionnaire, sample size, maximal<br />

error estimation);<br />

- Confi<strong>de</strong>nce intervals and tests of hypotheses for average differences, proportion<br />

differences and variance reports;<br />

- ANOVA and contrast analysis;<br />

- Multidimensional data analysis: presentation of the objectives of the various methods of<br />

data analysis.<br />

- This elective course will allow stu<strong>de</strong>nts to increase their knowledge of <strong>de</strong>scriptive<br />

statistical methods, one-dimensional inferential statistics, touching also on the most<br />

common methods of multidimensional analysis with the use of a statistical program that<br />

is recognized globally by the industry (SPSS).<br />

� Objective<br />

After successfully completing this course stu<strong>de</strong>nts will be able to analyse a complete set of data<br />

that inclu<strong>de</strong>s several in<strong>de</strong>pen<strong>de</strong>nt and/or correlated variables, from the i<strong>de</strong>ntification of the<br />

problem and selection of the appropriate statistical methods, to the interpretation of the results<br />

and the <strong>de</strong>duction of conclusions.

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