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Informativa privacy Ho letto e compreso questo messaggio Nascondi questo messaggio. Studenti Autocertificazioni Come fare per Consulta tutti i servizi. Pagina del docente. Torna al portale Uniba. Organizzazione Consiglio di Interclasse Giunta di Interclasse. Uniba Brindisi Uniba Taranto.Per facilitare l'apprendimento, si consiglia di acquisire una buona padronanza dei contenuti indicati nel programma del corso di Diritto commerciale. After completing the course, the student has the knowledge related to the legal rules applicable to the corporate governance and in relation to the joint-stock company in normal operation and in the case of business crisis.
Teaching will take place through lectures, but with a focus on discussion and direct dialogue with the students, who will be able, during class, formulate proposals for further study or debate.
The course will be held series of meetings with qualified professionals aimed at deepening of methodologies and applications of reliefs of directors. During the course we will be organized for students attending courses seminars and exercises practices or the carrying out of group work for the purpose of deepening the themes of the course. The examination of the end course will be oral. The question will be structured in questions ruling on the entire program in order to verify the acquisition by students of knowledge given within the teaching.
For attending students who have also done work in-depth collective examination will focus on the exposure of such work. Salta al contenuto principale. Insegnamento nome in italiano :. Insegnamento nome in inglese :. Tipo di insegnamento:. Settore disciplinare:. Anno di corso:. Anno accademico di offerta:. Responsabile della didattica:. Obbligo di frequenza:. Testi e materiali didattici:. Syllabus dell'insegnamento. Obiettivi formativi. Contenuti dell'insegnamento. Metodi didattici.Caratteristiche e requisiti generali.
Imprenditore e lavoratore autonomo. Tipi particolari di. Gli statuti degli imprenditori. Il registro delle imprese. I patti di famiglia. I controlli interni. Sistemi alternativi di amministrazione e controllo. Le modificazioni dello statuto. Le obbligazioni. Per i partecipanti ai seminari competitivi. Volume 2, capitoli: A Per coloro che NON partecipano ai seminari competitivi. Volume 1, capitoli: Volume 2, capitoli: The Commercial Law mainly has as object the discipline of the entrepreneur, both from an organizational and a functional and dynamic point of view, the discipline of free competition, that of companies and some aspects of the securities market, the regulation of savings.
Object of Commercial Law are also some contracts in which a party, always or frequently, is an entrepreneur and therefore they are usually qualified as contracts of commercial entrepreneurs. The Commercial Law course proposes the study of the disciplines of entrepreneurs and companies. The entrepreneur: characteristics and requirements. Companies: notions and types of companies. Entrepreneur Features and general requirements. Entrepreneur and self-employed person.
The categories of entrepreneurs: commercial and agricultural entrepreneur; small entrepreneur; the public entrepreneur. Particular types of company: the artisan company; the family business; the social enterprise; the agritourism enterprise; the illicit company. Start and end of the business. The statutes of entrepreneurs. The register of companies. The entrepreneur's writings. The attribution of the business activity.
The auxiliaries of the entrepreneur.
The company and its circulation. The family pacts.L'illustrazione dei concetti fondamentali del diritto commerciale presuppone una buona conoscenza da parte degli studenti delle nozioni principali del diritto privato.
The course aims to provide students with the institutional elements of Business law. Particular attention is devoted to the system of sources of Commercial and Corporate Law Business Lawto the historical origins of the rules, to their economic function, to jurisprudence and case law.
The study of the fundamental concepts of Business Law requires a good knowledge of Private Law. Students are requested to know the fundamental notions of business law and the rules governing corporate transactions.
Italiano English. Oral examination about the whole program. The grades will be based on the knowledge of fundamental principles of business law and on the ability to use legal language. Scrivi testo qui Write text here Modulo prof. Eva Desana I semestre : 1. Imprenditore, impresa, azienda.
Principi generali. Mia Callegari II semestre 5. Le operazioni straordinarie trasformazione, fusione e scissione. Scioglimento e liquidazione. Eva Desana 1st sem. The firm. Companies: general principles. Mia Callegari 2nd sem. The joint-stock company.Instead, boosted trees use their own combiner that relies on a few new parameters included with individual boosted trees.
These new parameters will be contained in the boosting attribute in each boosted tree, which may contain the following properties. These are sums of the first and second order gradients, and are needed for generating predictions when encountering missing data and using the proportional strategy. For regression problems, a prediction is generated by finding the prediction from each individual tree and doing a weighted sum using each tree's weight.
Once an ensemble has been successfully created it will have the following properties.
Creating a ensemble is a process that can take just a few seconds or a few days depending on the size of the dataset used as input, the number of models, and on the workload of BigML's systems. The ensemble goes through a number of states until its fully completed. Through the status field in the ensemble you can determine when the ensemble has been fully processed and ready to be used to create predictions. Once you delete an ensemble, it is permanently deleted.
If you try to delete an ensemble a second time, or an ensemble that does not exist, you will receive a "404 not found" response. However, if you try to delete an ensemble that is being used at the moment, then BigML. To list all the ensembles, you can use the ensemble base URL. By default, only the 20 most recent ensembles will be returned.
You can get your list of ensembles directly in your browser using your own username and API key with the following links.
You can also paginate, filter, and order your ensembles. Logistic Regressions Last Updated: Monday, 2017-10-30 10:31 A logistic regression is a supervised machine learning method for solving classification problems.
You can create a logistic regression selecting which fields from your dataset you want to use as input fields (or predictors) and which categorical field you want to predict, the objective field. Logistic regression seeks to learn the coefficient values b0, b1, b2. Xk must be numeric values.
To adapt this model to all the datatypes that BigML supports, we apply the following transformations to the inputs:BigML. You can also list all of your logistic regressions. Value is a map between field identifiers and a coding scheme for that field. See the Coding Categorical Fields for more details.
If not specified, one numeric variable is created per categorical value, plus one for missing values. This can be used to change the names of the fields in the logistic regression with respect to the original names in the dataset or to tell BigML that certain fields should be preferred. All the fields in the dataset Specifies the fields to be included as predictors in the logistic regression. If false, these predictors are not created, and rows containing missing numeric values are dropped.
Example: false name optional String,default is dataset's name The name you want to give to the new logistic regression.DIRITTO COMMERCIALE - 1 CORSO in 1 MINUTO - Prof. Stefano Cerrato
Example: "my new logistic regression" normalize optional Boolean,default is false Whether to normalize feature vectors in training and predicting. The type of the field must be categorical. The type of the fields must be categorical.Information from the Colleges ApplyingApplying overview What are we looking for. Dates and deadlines Entrance requirementsEntrance requirements overview Course requirements Age requirement English language requirements STEP and Further Mathematics Students at other UK universities UCAS applicationUCAS application overview Making an open application Supplementary Application Questionnaire (SAQ)Supplementary Application Questionnaire (SAQ) overview Completing the SAQ SAQ FAQ Cambridge Online Preliminary Application (COPA)Cambridge Online Preliminary Application (COPA) overview Completing the COPA COPA sections Submitting the COPA COPA fees COPA checklist COPA FAQ COPA Terms and Conditions Transcripts Admission assessmentsAdmission assessments overview Pre-interview assessments At-interview assessments Submitted work InterviewsInterviews overview Why do we interview.
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About research at Cambridge. Statistics is a dynamic discipline that aims at the development and application of methodologies for inference and data analysis for science, medicine, business and society. A current challenge facing the field is Big Data and the exponential growth of data being generated worldwide that await analysis. A consequence is that the demand for skilled statisticians has been steadily rising.
Statistics uses tools from mathematics, probability and computing to develop specific statistical approaches for prediction, classification, learning, estimation and hypothesis testing. UC Davis Statistics faculty pursue vigorous research programs at the forefront of current developments and engage in a large array of interdisciplinary collaborations. Department faculty are committed to provide students with excellent training and a broad education in Statistics.
The Statistics Department strives to increase diversity and equity in Higher Education.
We are committed to a multicultural academic environment that supports the success of all students and faculty. Applicants who show potential in leadership within the university mission of diversity and equity are strongly encouraged to apply to our graduate program or to our undergraduate major. Department of Statistics Mathematical Sciences Building 4118 399 Crocker Lane University of California, Davis One Shields Avenue Davis, CA 95616Make a gift to help support Statistics at UC DavisThis seminar is part of the Student-run Statistics Seminars seriesApplications are now open for the Statistics Research Training Group.
Undergraduate students in statistics are encouraged to apply, but all majors will be considered. Information about this year's projects and how to apply can be found at rtg. Applications are due on Monday, November 6th. The Statistics department has set up a memorial site for tributes to Professor Peter Hall, who passed away in January 2016.
How to find us We are located on the fourth floor of the Mathematical Sciences Building. Please try again or select another dataset. Stat includes data and metadata for OECD countries and selected non-member economies. GDP, FDI, Health, unemployment, income distribution, population, labour, education, trade, finance, prices, Economic Outlook, Government Debt, Social expenditure.
Information Please check the i to get information Powered by. Industrial engineering, operations research, and systems engineering are fields of study intended for individuals who are interested in analyzing and formulating abstract models of complex systems with the intention of improving system performance.
Unlike traditional disciplines in engineering and the mathematical sciences, the fields address the role of the human decision-maker as key contributor to the inherent complexity of systems and primary benefactor of the analyses. At ISyE, we are a national leader in 10 core research areas: Advanced Manufacturing, Analytics and Big Data, Economic Decision Analysis, Health, Optimization, Statistics, Stochastics and Simulation, Supply Chain Engineering, Sustainable Systems Engineering, and System Informatics and Control.
You can stay in touch with all things ISyE through our news feed, by reading one of our publications, or attending one of our upcoming events. Our faculty is world-renowned and our students are intellectually curious.
Our alumni can be found around the globe in leadership positions within a wide variety of fields. The emphasis in this cooperative program is on statistics as a science applicable in a technological environment. Although this program can prepare students for follow-on Ph. The program, which can be completed in twelve months, is designed to provide the graduate with competence in the collection, analysis, and interpretation of data and a sound understanding of statistical principles.
Students work with faculty actively engaged in research and prepared to teach the latest developments in statistics.On the 'Day of the Race Prices' Rule 4 (Deductions) will also apply. AntePost bets are settled at the Price and Place terms applicable at the time of acceptance.
Should a wager struck at a price on the day of an event couple selection(s) in that event with selection(s) in future event(s) then if the first selection(s) does not run the wager will be executed on the remaining selection(s) on the basis of all-in, run or not. Postponed RacesIf a race is postponed to another day and final declarations stand then bets stand.
However, single bets on horse racing will be made void and any selection involved in accumulative bets will be treated as a non-runner if:Each-Way BettingBets are settled to win unless Each-way is selected. An Each-way bet is a bet of twice the selected unit stake. It contains one bet of unit stake on the selection to Win and one bet of unit stake on the selection to be Placed according to the terms advertised for the event. In general, for UK horse racing the Place part of Each-way bets will be settled as per the following Place terms:In all races the number of runners shall be the number of runners coming under starters orders.
Bets will not be accepted where the Place stake exceeds the Win stake. Each-way doubles, trebles and accumulators will be settled Win to Win and Place to Place in accordance with the above. Dead-HeatsWhere two selections dead-heat half the stake money is lost and the full odds are paid to the other half.
If more than two dead-heat the stake is proportioned accordingly. FavouritesWagers will be accepted win only at starting price for 1st and 2nd favourites. The Place part of any wager inadvertently accepted for unnamed favourites will be settled as a Win stake. In the event of two selections starting joint favourites then stakes are divided equally.
Where three or more selections start co-favourites stakes will be divided proportionately. However, if such joint favourites or co-favourites are returned at a price whereby, irrespective of result, no profit could be accrued by the backer of the favourite, the unnamed favourite will be treated as a non-runner, in both single and accumulative bets.
Should the favourite be withdrawn before coming under starter's orders but too late for a new market to be formed then bets on the favourite in that particular race are void.
In the event a joint or co-favourite being withdrawn then the proportion of stakes on that selection will be void and the remaining proportion of stakes will be divided equally on the selections that do run. Forecast BettingForecasts are accepted for all races of 3 or more actual runners and will be settled as a straight forecast (selections to finish 1st and 2nd in correct order) in accordance with the computer straight forecast dividend.
If there are less than 3 actually running in a race then all forecasts for that race will be void. In the event of no straight forecast dividend being declared then forecasts will be settled in accordance with the NSL straight forecast chart provided that 3 or more actually run in that race.
You may take early prices or show prices in straight forecasts when available, in a fixed price forecast. Where a client selects combination forecasts A B C and stakes for 6 bets this will be settled as 6 straight forecasts as follows:Should any forecast contain a non-runner then the total stake will be placed to Win on the other selection.
In fixed price forecasts the remaining selection will be settled at SP. In races where a horse finishes alone and no forecast dividend is returned then all forecast bets nominating that horse to finish first will be settled as a Win single at SP on the winning horse. All other forecast bets in the race are lost.
In the event of two or more horses dead-heating for first or second place then separate dividends will be declared and paid to each qualifying forecast. In fixed price forecasts the full odds will be paid with the stake split according to the number of horses which dead-heat.
Tricast BettingYou may take early prices or show prices in straight Tricasts when available, in a fixed price Tricast. This is available on all horse races of 8 or more runners.
However, if no computer Tricast dividend is declared (e. The following applies to both Tricasts and fixed price Tricasts: if one selection is a non-runner then the bet will be settled as a straight forecast at the computer forecast dividend. If there are two non-runners then the bet will be settled as an SP single on the remaining selection.
In the event of two or more horses dead-heating for first, second or third place then separate dividends will be declared and paid to each qualifying tricast. In fixed price tricasts the full odds will be paid with the stake split according to the number of horses which dead-heat.
Tricasts are accepted for singles only.