David DeAngelo - AttractionWiki. Driving. Driving is the controlled operation and movement of a vehicle, such as a car, carriage, truck or bus. History[edit] The world's first long distance road trip by automobile[1] took place in Germany in August 1888 when Bertha Benz, the wife of Karl Benz, the inventor of the first patented motor car (the Benz Patent-Motorwagen), travelled from Mannheim to Pforzheim[2] (a distance of 106 km or 66 miles)[3] and back in the third experimental Benz motor car, which had a maximum speed of 10 mph or 16 km/h, with her two teenage sons Richard and Eugen but without the consent and knowledge of her husband.
Her official reason was that she wanted to visit her mother, but unofficially she intended to generate publicity for her husband's invention, which had only been taken on short test drives before. The automobile took off greatly afterwards and the Benz's family business eventually evolved into the present day Mercedes-Benz company.[4] Driveability[edit] Driving skills[edit] Driving laws[edit] Equestrianism. Equestrianism (from Latin equester, equestr-, horseman, horse)[1] more often known as riding, horseback riding (American English) or horse riding (British English)[2] referring to the skill of riding, driving, steeplechasing or vaulting with horses. This broad description includes the use of horses for practical working purposes, transportation, recreational activities, artistic or cultural exercises, and competitive sport.
Overview of equestrian activities[edit] A young Tibetan rider. Horse riding is an essential means of transportation in parts of the world where the landscape does not permit other means Horses continue to be used in public service: in traditional ceremonies (parades, funerals), police and volunteer mounted patrols, and for mounted search and rescue. History of horse use[edit] Prehistoric cave painting, depicting a horse and rider An equestrian Mughal nobleman on horseback.
Horse racing[edit] Types of horse racing[edit] Under saddle: In harness: Haute École[edit] Dressage. Dressage (/ˈdrɛsɑːʒ/ or /drɨˈsɑːʒ/; a French term, most commonly translated to mean "training") is a competitive equestrian sport, defined by the International Equestrian Federation as "the highest expression of horse training", where "horse and rider are expected to perform from memory a series of predetermined movements.
"[1] Competitions are held at all levels from amateur to the World Equestrian Games. Its fundamental purpose is to develop, through standardized progressive training methods, a horse's natural athletic ability and willingness to perform, thereby maximizing its potential as a riding horse. At the peak of a dressage horse's gymnastic development, the horse will respond smoothly to a skilled rider's minimal aids. The rider will be relaxed and appear effort-free while the horse willingly performs the requested movement. Dressage horses[edit] All riding horses can benefit from use of dressage principles and training techniques. Arena[edit] Judges[edit] Competition[edit] Piaffe. Google Afbeeldingen resultaat voor. Getting Things Done.
Getting Things Done, in het algemeen afgekort tot GTD, is een actiegebaseerde managementmethode, en de titel van een boek door David Allen. GTD is gebaseerd op het principe dat een persoon door zijn taken vast te leggen zich over die taken geen zorgen hoeft te maken. Het moeten herinneren van alle taken maakt plaats voor het daadwerkelijk uitvoeren van de taken. De essentie van GTD[bewerken] De psychologie van GTD is gebaseerd op het eenvoudig opslaan, bijhouden en terugvinden van alle relevante informatie die nodig is voor de taken die je uit moet voeren.
Allen suggereert dat veel van de mentale blokkades waar we tegenaan lopen bij het uitvoeren van bepaalde taken worden veroorzaakt door onvoldoende 'front-end'-planning (met andere woorden, voor ieder project moeten we duidelijk maken wat er bereikt moet worden en welke specifieke acties hiervoor uitgevoerd moeten worden).
Het is, volgens Allen, het meest praktische om hierover vooraf na te denken. Basisprincipes[bewerken] Do[bewerken] Administration (business) The administration of a business includes the performance or management of business operations and decision making as well as the efficient organization of people and other resources to direct activities toward common goals and objectives. Administrator is occasionally the title of the general manager or company secretary who reports to a corporate board of directors. This usage is archaic[citation needed]. In general, administration refers to the broader management function, including the associated finance, personnel and MIS services.
In some organizational analyses, management is viewed as a subset of administration, specifically associated with the technical and operational aspects of an organization, distinct from executive or strategic functions. Alternatively, administration can refer to the bureaucratic or operational performance of routine office tasks, usually internally oriented and reactive rather than proactive. See also[edit] References[edit] Bachelor of Business Administration. The Bachelor of Business Administration (BBA or B.B.A.) is a bachelor's degree in commerce and business administration.
In most universities, the degree is conferred upon a student after four years of full-time study in one or more areas of business concentrations. The BBA program usually includes general business courses and advanced courses for specific concentrations. The BSBA (Bachelor of Science in Business Administration) - a variant on this degree[citation needed] - usually differs as regards to General educational requirements. Content[edit] The degree[1] is designed to give a broad knowledge of the functional areas of a company, and their interconnection, while also allowing for specialization in a particular area.
The core topics usually comprise: The specializations often include: BBA[edit] General educational requirements emphasize humanities and social sciences (history, economics, and literature). BSBA[edit] The BSBA is a variant on the BBA. Accreditation[edit] See also[edit] International marketing. Global marketing is “marketing on a worldwide scale reconciling or taking commercial advantage of global operational differences, similarities and opportunities in order to meet global objectives".[1] Worldwide competition[edit] One of the product categories in which global competition has been easy to track in U.S.is automotive sales. The increasing intensity of competition in global markets is a challenge facing companies at all stages of involvement in international markets.
As markets open up, and become more integrated, the pace of change accelerates, technology shrinks distances between markets and reduces the scale advantages of large firms, new sources of competition emerge, and competitive pressures mount at all levels of the organization. Evolution to global marketing[edit] Global marketing is not a revolutionary shift, it is an evolutionary process. By Gorvam Saddar Domestic marketing[edit] The domestic market is a large market that every nation needs. Global marketing[edit] Marketing. Marketing is communicating the value of a product, service or brand to customers, for the purpose of promoting or selling that product, service, or brand.
Marketing techniques include choosing target markets through market analysis and market segmentation, as well as understanding consumer behavior and advertising a product's value to the customer. From a societal point of view, marketing is the link between a society's material requirements and its economic patterns of response. Marketing satisfies these needs and wants through exchange processes and building long-term relationships. Marketing blends art and applied science (such as behavioural sciences) and makes use of information technology. Marketing is applied in enterprise and organizations through marketing management.
History[edit] Earlier approaches[edit] The marketing orientation evolved from earlier orientations, namely, the production orientation, the product orientation and the selling orientation.[1][2] Customer orientation[edit] Agribusiness. In agriculture, agribusiness is the business of agricultural production. It includes agrichemicals, breeding, crop production (farming and contract farming), distribution,farm machinery, processing, and seed supply, as well as marketing and retail sales. Within the agriculture industry, "agribusiness" is used simply as a portmanteau of agriculture and business, referring to the range of activities and disciplines encompassed by modern food production. There are academic degrees in and departments of agribusiness, agribusiness trade associations, agribusiness publications, and so forth, worldwide. In this context the term is only descriptive, and is synonymous in the broadest sense with food industry.
The UN's Food and Agriculture Organization (FAO), for example, operates a section devoted to Agribusiness Development[1] which seeks to promote food industry growth in developing nations. Examples[edit] Studies and reports[edit] See also[edit] Notes and references[edit] Further reading[edit] International trade. Industrialization, advanced in technology transportation, globalization, multinational corporations, and outsourcing are all having a major impact on the international trade system. Increasing international trade is crucial to the continuance of globalization. Without international trade, nations would be limited to the goods and services produced within their own borders. International trade is, in principle, not different from domestic trade as the motivation and the behavior of parties involved in a trade do not change fundamentally regardless of whether trade is across a border or not.
The main difference is that international trade is typically more costly than domestic trade. The reason is that a border typically imposes additional costs such as tariffs, time costs due to border delays and costs associated with country differences such as language, the legal system or culture. History[edit] Models[edit] The following are noted models of international trade. Adam Smith's model[edit] Datamining. Datamining is het gericht zoeken naar (statistische) verbanden in gegevensverzamelingen met als doel profielen op te stellen voor wetenschappelijk, journalistiek of commercieel gebruik. Zo'n verzameling gegevens kan gevormd worden door gebeurtenissen in een praktijksituatie te registreren (aankoopgedrag van consumenten, symptomen bij patiënten, et cetera) of door de resultaten van eerder uitgevoerde wetenschappelijke onderzoeken met elkaar te vergelijken en te herinterpreteren.
Misbruik van statistische gegevens[bewerken] Een valkuil die bij datamining op de loer ligt is de drogreden Cum hoc ergo propter hoc: als je maar genoeg gegevens analyseert zul je vroeg of laat ongetwijfeld een statistische correlatie tussen twee variabelen vinden, maar dat hoeft niet te betekenen dat er ook een oorzakelijk verband bestaat tussen de twee betreffende variabelen. Algoritmes en technieken[bewerken] Datamining wordt bijgestaan door verscheidene technieken. Beslissingsbomen[bewerken] Politie[bewerken] Correlation and dependence. In statistics, dependence is any statistical relationship between two random variables or two sets of data. Correlation refers to any of a broad class of statistical relationships involving dependence. Familiar examples of dependent phenomena include the correlation between the physical statures of parents and their offspring, and the correlation between the demand for a product and its price. Correlations are useful because they can indicate a predictive relationship that can be exploited in practice.
For example, an electrical utility may produce less power on a mild day based on the correlation between electricity demand and weather. In this example there is a causal relationship, because extreme weather causes people to use more electricity for heating or cooling; however, statistical dependence is not sufficient to demonstrate the presence of such a causal relationship (i.e., correlation does not imply causation). Pearson's product-moment coefficient[edit] Correlation matrices[edit] Time series. Time series: random data plus trend, with best-fit line and different applied filters A time series is a sequence of data points, measured typically at successive points in time spaced at uniform time intervals.
Examples of time series are the daily closing value of the Dow Jones Industrial Average and the annual flow volume of the Nile River at Aswan. Time series are very frequently plotted via line charts. Time series are used in statistics, signal processing, pattern recognition, econometrics, mathematical finance, weather forecasting, earthquake prediction, electroencephalography, control engineering, astronomy, and communications engineering . Time series data have a natural temporal ordering. Time series analysis can be applied to real-valued, continuous data, discrete numeric data, or discrete symbolic data (i.e. sequences of characters, such as letters and words in the English language.[2]). Methods for time series analyses[edit] Analysis[edit] Motivation[edit] Classification[edit] Regression analysis. Regression analysis is widely used for prediction and forecasting, where its use has substantial overlap with the field of machine learning.
Regression analysis is also used to understand which among the independent variables are related to the dependent variable, and to explore the forms of these relationships. In restricted circumstances, regression analysis can be used to infer causal relationships between the independent and dependent variables. However this can lead to illusions or false relationships, so caution is advisable;[1] for example, correlation does not imply causation. The performance of regression analysis methods in practice depends on the form of the data generating process, and how it relates to the regression approach being used. Since the true form of the data-generating process is generally not known, regression analysis often depends to some extent on making assumptions about this process.
History[edit] Regression models[edit] Statistical assumptions[edit] and . Is . Strategic management. Strategic management involves the formulation and implementation of the major goals and initiatives taken by a company's top management on behalf of owners, based on consideration of resources and an assessment of the internal and external environments in which the organization competes.[1] Strategic management provides overall direction to the enterprise and involves specifying the organization's objectives, developing policies and plans designed to achieve these objectives, and then allocating resources to implement the plans. Academics and practicing managers have developed numerous models and frameworks to assist in strategic decision making in the context of complex environments and competitive dynamics.
Strategic management is not static in nature; the models often include a feedback loop to monitor execution and inform the next round of planning.[2][3][4] Corporate strategy involves answering a key question from a portfolio perspective: "What business should we be in? " Ballroom dance. Latin dance. RESULTS] Krav Maga. Modern physics. Civilization. Sun Tzu. Sun Tzu the Art of War Success Strategy Presentation By Osama El-kadi. Technical drawing. AutoCAD. AutoCAD 2009 Demo - Part 4 - Ribbon. Telemarketing. Alec Baldwin - Best performance. User interface. CMS Made Simple. Adobe Photoshop. New company website. Futurepathways - Pearltrees. WebGUI. Innovatieve ketels, direct geinstalleerd - van Slooten BV.