Teaching guide ECONOMETRICS
|
|
- Alberta Miles
- 8 years ago
- Views:
Transcription
1 Teaching guide ECONOMETRICS INDEX CARD Subject Data Código Titulación Nombre Carácter Ciclo Grado en Administración y Dirección de Empresas, Mención Creación y Dirección de Empresas, Itinerario Emprendedores Econometrics Formación Básica Grado Curso 3º Créditos ECTS 6.0 Materia Centro Econometría Centro Universitario EDEM Curso académico Professor Name Conchado Peiró, Andrea Departament 10 Análisis Económico Office hours: Wednesday, from 15 to 17 Asignatura: Grado en ADE para Emprendedores Página 1
2 SUMMARY Econometrics is a compulsory basic course scheduled during the first semester of year 3 of the Grade in Management and Business Administration with a total workload of 6 ECTS credits (150 hours). This course completes the topics covered by the Quantitative Methods Module in this degree. The aim of the course is to provide students with the basic knowledge of an academic discipline as Econometrics, which combines concepts from Economic Theory, Mathematics and Statistics. The basic topics of study in this subject include the estimating regression models, the formulation and testing of hypotheses for these models, prediction and the effects and problems that follow from the possible breach of any of the cases dealt. About these estimates, the basic models of qualitative and quantitative dependent variable are explained. Likewise, models that include independent variables of both types are considered. As a discipline of mathematical-statistical contents, the students should use the previous knowledge acquired of calculus and statistics. It is, therefore, a training course with a wide range of theoretical and practical content, which is based on previously acquired skills and designed to allow, with the support of appropriate informatics tools, a comprehensive view of the instruments of quantitative analysis used in the study and prediction of economic and business reality. The main content of the course focuses primarily on the development of the linear regression model, its assumptions and associated problems. PRIOR KNOWLEDGE Relación con otras asignaturas de la misma titulación Restrictions of registration with other subjects of the degree have not been specified. Other requisites Although there are no prerequisites, it is recommended to have studied previously the subjects of Mathematics I, Mathematics II, Basic Statistics and Statistical Inference. Asignatura: Grado en ADE para Emprendedores Página 2
3 COMPETENCES BASICS: Analysis and synthesis (GI.1) Organization and planning (GI.2) Oral and written communication in the native language (GI.3) Ability to use English in professional environments (GI.4) Ability to use ICT in the field of study (GI.5) The ability to find, collect and analyze information from different sources (GI.6) Ability to solve problems (GI.7) Decision making (GI.8) Ability to negotiate and reconcile interests effectively (GI.9) Ability to transmit and communicate complex ideas and approaches to both specialist and non-specialist stakeholders (GI. 10) Ability to work in team (GP.1) Critic and auto critic thinking (GP.3) Manage time effectively (GP.5) Self-study Adaptation Creativity Coordination SPECIFIC: Know and use appropriately the various quantitative and qualitative methods to argue in a correct and analytical way evaluate results and predict economic and financial magnitudes (EG.7). Knowing how to perform strategic diagnosis in complex and uncertain environments, using appropriate methodologies in this process (EA.4). Ability to make decisions in certainty and uncertainty environments (EA.5). Ability to apply mathematical and analytical methods for the analysis of economic and business contexts (EA.6). Ability to define, expose and solve complex problems in a systemic way (EA.8). Ability to argue in formal, graphical and symbolic languages (EA.10). Ability to plan, to organize and to control and evaluate the implementation of business strategies (EA.30). The capacity to evaluate the context in which entrepreneurial ideas and initiatives can be introduced (EA.30) To develop a critical capacity on the Spanish and international economic news (EA.73) RESULTADOS DEL APRENDIZAJE Evaluate the state of an economic context or business environment from the observation of the economic reality. Asignatura: Grado en ADE para Emprendedores Página 3
4 To promote the ability to use logical / strategic thinking to address real world economic situations. Manage the basic quantitative tools (especially linear regression analyses) and apply them to the analysis of economic and business environments. Use statistical software to estimate different types of regression models. Interpret results derived from the application of regression techniques and methods. Identify problems associated to regression analyses and acquire knowledge about their treatment. Students will get the ability to select a theoretical frame of reference to develop different types of analyses. Students will get the knowledge and understanding of the basic tools of quantitative nature for the analysis, diagnosis and economic prospection. Identify, classify, reason, argue and interpret the relationships between economic variables. Be capable of applying different regression methods and analysis techniques under uncertainty using statistical software. COURSE CONTENTS Chapter 1. Introduction: econometrics and econometric models 1.1. Econometrics: concept 1.2. Elements of an econometric model 1.3. Stages in the econometric modeling: process of econometric research The role of Econometrics: economic data and usefulness of econometrics. Chapter 2. The classical linear regression model 2.1. The simple linear regression model (model specification, estimation by Ordinary Least Squares [OLS]) The multiple regression model Coefficients interpretation Units of measurement and functional forms. Chapter 3. Properties and hypotheses associated to the regression model 3.1. Descriptive properties of the regression 3.2. Statistical hypotheses in the simple linear and multiple regression models 3.3. Probabilistic properties of the regression model 3.4. Goodness of fit: measures, the determination coefficient and models selection criteria (AIC). Asignatura: Grado en ADE para Emprendedores Página 4
5 Chapter 4. Hypotheses tests in the multiple regression model 4.1. Assumptions of the classical linear model and introduction to hypothesis testing 4.2. Hypothesis testing on a single parameter: the t statistic Hypothesis testing on a set of parameters (multiple linear constraints): the F statistic Testing for structural stability 4.5. Prediction Chapter 5. Multiple regression analysis with qualitative information 5.1. The dummy variables Interpretation of coefficients of dummy variables 5.3. Multiple categories 5.4. Interactions 5.5. The logistic regression model: an overview. Chapter 6. Breach of the basic assumptions of the regression model 6.1. Multicollinearity 6.2. Normality 6.3. Heteroscedasticity 6.4. Autocorrelation VOLUMEN DE TRABAJO CLASS ACTIVITIES/ ACTIVIDADES PRESENCIALES HORAS Lectures 28.0 Complementary activities 2.0 Practical sessions 28.0 Partial Exams 2.0 Total class activities 60.0 SELF-STUDY / ACTIVIDADES NO PRESENCIALES Individual tasks and works 10,0 Self-study 20,0 Preparation of evaluation activities 20,0 Preparation of lectures 15,0 Preparation of practical classes, problems and group work 20,0 Resolution of practical classes 5,0 Total self-study 90,0 TOTAL 150,0 TIMELINE Asignatura: Grado en ADE para Emprendedores Página 5
6 Chapter / Practical activities SESSIONS/WEEKS Chapter 1: Introduction: econometrics and econometric models. 1 Chapter 2: The classical linear regression model. 2.1 The simple linear regression model 2 Chapter 2: The classical linear regression model The multiple regression model 3 Software for econometrics (Session 1) 4 Chapter 2: The classical linear regression model Coefficients interpretation 5 Software for econometrics (Session 2) 6 Chapter 2: The classical linear regression model Units of measurement and functional forms 7 Software for econometrics (Session 3) 8 Chapter 2: Summary and key points 9 Chapter 3. Properties and hypotheses associated to the regression model Descriptive properties of the regression 10 Chapter 3. Properties and hypotheses associated to the regression model. 3.2 Statistical hypotheses in the simple linear and multiple 11 regression models Chapter 3. Properties and hypotheses associated to the regression model Probabilistic properties of the regression model 12 Chapter 3. Properties and hypotheses associated to the regression model Goodness of fit: measures, the determination coefficient 13 and models selection criteria (AIC). Chapter 3: Summary and key points 14 Partial exam of Chapters 1, 2, 3 15 Chapter 4. Hypotheses tests in the multiple regression model Assumptions of the classical linear model and introduction to 16 hypothesis testing Chapter 4. Hypotheses tests in the multiple regression model Hypothesis testing on a single parameter: the t statistic. 17 Chapter 4. Hypotheses tests in the multiple regression model Hypothesis testing on a set of parameters (multiple linear constraints): 18 the F statistic. Chapter 4. Hypotheses tests in the multiple regression model Testing for structural stability 19 Chapter 4. Hypotheses tests in the multiple regression model Prediction 20 Chapter 4: Summary and key points 21 Chapter 5. Multiple regression analysis with qualitative information The dummy variables Interpretation of coefficients of dummy 22 variables Chapter 5. Multiple regression analysis with qualitative information Multiple categories 23 Chapter 5. Multiple regression analysis with qualitative information Interactions 24 Chapter 5. Multiple regression analysis with qualitative information The logistic regression model: an overview 25 Chapter 5: Summary and key points 26 Chapter 6. Breach of the basic assumptions of the regression model Multicollinearity and specification errors Normality 27 Asignatura: Grado en ADE para Emprendedores Página 6
7 Chapter 6. Breach of the basic assumptions of the regression model Heteroscedasticity Autocorrelation Chapter 6: Summary and key points 29 External programmed visit 30 TEACHING METHODOLOGY 1. Interactive master classes The master class will serve as an introduction to the main contents of the subject. The professor will describe the theoretical concepts underlying the field of econometrics, on the basis of different sources of scientific knowledge. Besides, the professor will provide students with examples and applications of this subject oriented to the development of their entrepreneurship skills. Master classes will not be limited to oral presentations by the professor. In order to increase the commitment of the students during the process of teaching and learning, other resources will be used during the course, such as audiovisual media and publications specialized in this area. The professor will foster the active participation of students during the master class, through the formulation of questions and the proposal of discussions, with the aim to set new contents in the context of previous knowledge. Summaries, lists of key points and conceptual maps will be provided by the professor to sum up the contents of each chapter. 2. Problem based learning Problem based learning will be introduced by the professor through guided examples, focused on the contents previously exposed in the interactive master class. Subsequently, the professor will set up several problems to students in such a manner that this activity will facilitate learning the theoretical contents of the subject. The resolution of these problems will require a deep understanding of the main concepts as well as the relationships between them. In addition, computer skills will be needed to solve the problems posed by the professor, particularly statistical software for the estimation of regression models and basic statistics, such as Excel, PSPP and R. 3. Case studies Case studies will be analyzed by students working in pairs. Each group of students will be assigned a particular problem or situation in an innovative business. Students will assume the responsibility to make an in depth examination of the context, formulation of hypothesis, specification of regression models, estimation of parameters, discussion of the results and assessment of the applicability of the model in the context of study. Besides, students will report periodically about the advances of their case study, Asignatura: Grado en ADE para Emprendedores Página 7
8 through the application of the knowledge and skills developed in the interactive master class and problem based learning activities. EVALUATION CRITERIA Evaluation of students will take place through continuous assessment and exams. Class attendance is mandatory for optimal monitoring of the subject. When the number of unjustified absences exceeds the 10% of the sessions, i.e. more than 3 sessions of 30, continuous assessment will not be considered in the final mark. As a result, the maximum score which can be achieved by student is limited to 6 points in the exams. 1. Continuous assessment (40%) Continuous assessment will be based on: - Written assignments (20%) Students working in pairs have to report the latest advances on their case studies on a regular basis. These advances will consist on the application of the contents of the subject to analyze the situation assigned to each group. To accomplish this task, students are expected to produce high quality written reports. These reports usually will explain the particular aspect of the subject they are covering, they will show the main results of the analysis and finally they will discuss the results, using the econometrics jargon. On the other hand, the resolution of problems using statistical software will be also described through written assignments. In these reports, students will emphasize in their decisions while setting the options of the software, the code or menu options used and the discussion of the results in the context of the problem. - Oral presentations (10%) All groups will expose briefly the situation or problem posed in their case study, the difficulties and challenges they found and the solutions they proposed. The schedule of these presentations will be organized in such a manner that different stages of the analysis and discussion may be presented to the rest of students. To put it differently, oral presentations of case studies will be spaced over the course so that students can present different stages of the development of their work. - Multiple choice tests and One minute papers (10%) Asignatura: Grado en ADE para Emprendedores Página 8
9 Theoretical knowledge will be assessed through multiple choice tests. In spite of the practical approach of this subject, students have to demonstrate their understanding and familiarity with the main concepts of the subject. It is recommended to devote some effort to the comprehension of the contents of the subject, as this background is essential for the appropriate application in the resolution of problems and case studies. Additionally, one minute papers will be used by the professor to identify strong and weak points at the end of the sessions. This information, obtained from the responses of students, will be highly valuable for the professor for improving her teaching. 2. Exams (60%) Each registration entitles three examination sessions: A partial exam in the middle of the course, the final exam in January 2016 and an additional exam for recovery in April Contents will be divided in two partial sections for the assessment. The average mark in both partial sections must be higher to 5 to pass the subject. Exams will consist on a set of problems to be solved by applying theoretical concepts and the use of statistical software. Results have to be discussed using econometric jargon in the context of the problem. Students with failing grades in the first partial exam will have the opportunity to pass it during the final exam in January Meanwhile, students who failed the final exam (1 st or 2 nd part of the subject, or both) will have to repeat the exam in April REFERENCIAS Main reference books: -Gujarati, D.N., y D.C. Porter (2010). Econometría. 5ª edición. McGraw-Hill. -Wooldridge, J. M. (2012). Introductory econometrics: a modern approach. South-Western College Publishers (2012), 5 th edition -Contreras, D. y Belaire, J. (2000). Introducció a l Econometria. Universitat de València. -Uriel, E. (2013). Introducción a la Econometría. Manual electrónico, Valencia. ( -Uriel, E. (2013). Introduction to econometrics. Electronic textbook, Valencia. ( Asignatura: Grado en ADE para Emprendedores Página 9
10 Complementary bibliography: -Stock and Watson. (2010). Introduction to econometrics. Addison-Wesley. -Uriel, E. y Gea, I. (1997). Econometría Aplicada, Editorial AC. -Uriel, E., D. Contreras, M.L. Moltó y A. Peiró (1990). Econometría: El modelo lineal. Editorial AC. -Dougherty, C. (2011). Introduction to Econometrics. 4th edition. Oxford University Press. Asignatura: Grado en ADE para Emprendedores Página 10
Titulación 1313.- Grado en Administración y Dirección de Empresas, Mención Creación y Dirección de Empresas, Itinerario Emprendedores.
Guía Docente Foundations of Market Research FICHA IDENTIFICATIVA Datos de la Asignatura Código 36267 Titulación 1313.- Grado en Administración y Dirección de Empresas, Mención Creación y Dirección de Empresas,
More information1313.- Grado en Administración y Dirección de Empresas, Mención Creación y Dirección de Empresas, Itinerario Emprendedores
Guía Docente 35802 Estrategia de Marketing / Marketing Strategy FICHA IDENTIFICATIVA Datos de la Asignatura Código 35802 Titulación Nombre Carácter Ciclo Curso 1313.- Grado en Administración y Dirección
More informationGrado en Administración y Dirección de Empresas, Mención Creación y Dirección de Empresas, Itinerario Emprendedores
Guía Docente Dirección Empresas Internacionales International Business Management FICHA IDENTIFICATIVA Datos de la Asignatura Código 1313 Titulación Nombre Carácter Ciclo Grado en Administración y Dirección
More informationGuía Docente Fiscalidad de la empresa/business Tax
Guía Docente Fiscalidad de la empresa/business Tax FICHA IDENTIFICATIVA Datos de la Asignatura Código 36275 Titulación 1313.- Grado en Administración y Dirección de Empresas, Mención Creación y Dirección
More informationTitulación 1313.- Grado en Administración y Dirección de Empresas, Mención Creación y Dirección de Empresas, Itinerario Emprendedores
Guía Docente BASIC STATISTICS FICHA IDENTIFICATIVA Datos de la Asignatura Código 36259 Titulación 1313.- Grado en Administración y Dirección de Empresas, Mención Creación y Dirección de Empresas, Itinerario
More informationTitulación 1313.- Grado en Administración y Dirección de Empresas, mención Creación y Dirección de Empresas, Itinerario Emprendedores
Guía Docente Entrepreneurial Culture FICHA IDENTIFICATIVA Datos de la Asignatura Código 36252 Titulación 1313.- Grado en Administración y Dirección de Empresas, mención Creación y Dirección de Empresas,
More informationTeaching model: C1 a. General background: 50% b. Theory-into-practice/developmental 50% knowledge-building: c. Guided academic activities:
1. COURSE DESCRIPTION Degree: Double Degree: Derecho y Finanzas y Contabilidad (English teaching) Course: STATISTICAL AND ECONOMETRIC METHODS FOR FINANCE (Métodos Estadísticos y Econométricos en Finanzas
More informationSupply Chain Management
Supply Chain Management Máster Universitario en Management y Gestión del Cambio Universidad de Alcalá Curso Académico 2015/2016 GUÍA DOCENTE Nombre de la asignatura: Supply Chain Management Código: 201747
More informationAcademic Guide. Strategic Management 4th year Degree in Marketing and Sales Management (TSDMC) Academic Year 2014 /2015
Academic Guide Strategic Management 4th year Degree in Marketing and Sales Management (TSDMC) Academic Year 2014 /2015 Campus: Pozuelo (Madrid) Professors: Academic Period: Year: Type: Language Segundo
More informationCOMPLEMENTOS PARA LA FORMACIÓN DISCIPLINAR EN INGLÉS. Máster en Formación del Profesorado. Universidad de Alcalá
COMPLEMENTOS PARA LA FORMACIÓN DISCIPLINAR EN INGLÉS Máster en Formación del Profesorado Universidad de Alcalá Curso Académico 2015/2016 GUÍA DOCENTE Nombre de la asignatura: Complementos para la formación
More information(27) credit hours as follows: Code Subject Credit Hours
Study Plan MBA/ Finance Comprehensive Exam First: General Rules and Conditions Plan Number 2010 Exam 1- This plan coincides with general frame of the master program in graduate studies. 2- Specialists
More informationTeaching guide for the course: BUSINESS STATISTICS II
Teaching guide for the course: BUSINESS STATISTICS II Degree program: Degree in Business Administration and Management Year 2012-2013 - 0 - Teaching Guide 1. Information about the course Name Subject Module
More informationCOMPRENSIÓN LECTORA Y PRODUCCIÓN ESCRITA
COMPRENSIÓN LECTORA Y PRODUCCIÓN ESCRITA Máster en Formación del Profesorado Universidad de Alcalá Curso Académico 2012/2013 GUÍA DOCENTE Nombre de la asignatura: Comprensión Lectora y Producción Escrita
More information1.-Subject details Código Asignatura Créditos Idioma P NP Total 29701 Inglés I 2.4 3.6 6 Inglés
Pág.: 1 de 12 1.-Subject details Código Asignatura Créditos Idioma P NP Total 29701 2.4 3.6 6 Inglés Titulación Carácter Curso Semestre Estudios Grado en protocolo y organización F. Básica 1º 1º Grado
More informationTeaching guide for the course: HUMAN RESOURCE MANAGEMENT. Degree program: Degree in Business Administration and Management
Teaching guide for the course: HUMAN RESOURCE MANAGEMENT Degree program: Degree in Business Administration and Management Year 2012-2013 Teaching Guide 1. Information about the course Name Subject Module
More informationProgramme Curriculum for Master Programme in Corporate and Financial Management
Programme Curriculum for Master Programme in Corporate and Financial Management 1. Identification Name of programme Scope of programme Level Programme code Decision details Master Programme in Corporate
More informationM.Sc. Health Economics and Health Care Management
List of Courses M.Sc. Health Economics and Health Care Management METHODS... 2 QUANTITATIVE METHODS... 2 ADVANCED ECONOMETRICS... 3 MICROECONOMICS... 4 DECISION THEORY... 5 INTRODUCTION TO CSR: FUNDAMENTALS
More informationStatute for the PhD Program in Political Science at the Department of Political Science University of Copenhagen
Statute for the PhD Program in Political Science at the Department of Political Science University of Copenhagen Adopted by the Faculty of Social Sciences Doctoral Committee on 28 May 2014 Introductory
More informationProgramme Curriculum for Master Programme in Accounting and Finance
Programme Curriculum for Master Programme in Accounting and Finance 1. Identification Name of programme Scope of programme Level Programme code Master Programme in Accounting and Finance 60 ECTS Master
More informationMBA Degree Plan in Finance. (Thesis Track)
MBA Degree Plan in Finance (Thesis Track) First: General Rules and Conditions Plan Number 2012 Thesis 1- This plan conforms to the valid regulations of the programs of graduate studies 2- Specialists allowed
More informationEconometrics and Data Analysis I
Econometrics and Data Analysis I Yale University ECON S131 (ONLINE) Summer Session A, 2014 June 2 July 4 Instructor: Doug McKee (douglas.mckee@yale.edu) Teaching Fellow: Yu Liu (dav.yu.liu@yale.edu) Classroom:
More informationInternationalization Processes and International Outsourcing
Internationalization Processes and International Outsourcing Máster Universitario en Management y Gestión del Cambio Universidad de Alcalá Curso Académico 2014/15 SYLLABUS Nombre de la asignatura: Código:
More informationBachelor Program in Analytical Finance, 180 credits
Program Curriculum Page 1 of 7 Program code: RMV20 Bachelor Program in Analytical Finance, 180 credits This is a translation of the original program study plan in Swedish, which was approved by the Faculty
More informationGrado en Lenguas Modernas y Traducción Universidad de Alcalá Curso Académico 2015/2016 Curso 3º - Cuatrimestre 2º
HERRAMIENTAS INFORMÁTICAS APLICADAS A LA TRADUCCIÓN // TRANSLATION TECHNOLOGY Grado en Lenguas Modernas y Traducción Universidad de Alcalá Curso Académico 2015/2016 Curso 3º - Cuatrimestre 2º GUÍA DOCENTE
More information220514 - Supply Chain Management
Coordinating unit: 220 - ETSEIAT - Terrassa School of Industrial and Aeronautical Engineering Teaching unit: 732 - OE - Department of Management Academic year: Degree: 2015 MASTER'S DEGREE IN MANAGEMENT
More informationECON 523 Applied Econometrics I /Masters Level American University, Spring 2008. Description of the course
ECON 523 Applied Econometrics I /Masters Level American University, Spring 2008 Instructor: Maria Heracleous Lectures: M 8:10-10:40 p.m. WARD 202 Office: 221 Roper Phone: 202-885-3758 Office Hours: M W
More informationCOURSE SYLLABUS. Academic year 2011-2012. (English teaching)
1. COURSE DESCRIPTION Degree: Administración y Dirección de Empresas (English teaching) Double Degree: Derecho y Administración y Dirección de Empresas (English teaching) Course: BUSINESS STATISTICS I
More informationCurriculum for Business Economics and Information Technology
Curriculum for Business Economics and Information Technology Copenhagen School of Design and Technology August 2012 1 General regulations for all institutions providing the programme Curriculum Applicable
More informationBrown University Department of Economics Spring 2015 ECON 1620-S01 Introduction to Econometrics Course Syllabus
Brown University Department of Economics Spring 2015 ECON 1620-S01 Introduction to Econometrics Course Syllabus Course Instructor: Dimitra Politi Office hour: Mondays 1-2pm (and by appointment) Office
More informationHealth Policy and Administration (HPA)
University of Illinois at Chicago 1 Health Policy and Administration (HPA) Courses HPA 400. Principles of Management in Public Health. 3 A detailed discussion of the conceptual and theoretical foundations
More informationCourse Guide Academic Year COURSE INFORMATION SHEET
Course Guide Academic Year FACULTAD DE CIENCIAS ECONÓMICAS Y EMPRESARIALES COURSE INFORMATION SHEET Course Information Course Title MARKETING MANAGEMENT Code Degree Degree in Business Administration Year
More informationCOURSE SYLLABUS. (English teaching)
1. COURSE DESCRIPTION Degree: Administración y Dirección de Empresas (English teaching) Double Degree: Derecho y Administración y Dirección de Empresas (English teaching) Course: MANAGEMENT INFORMATION
More informationEquity and Fixed Income
Equity and Fixed Income MÁSTER UNIVERSITARIO EN BANCA Y FINANZAS (Finance & Banking) Universidad de Alcalá Curso Académico 2015/16 GUÍA DOCENTE Nombre de la asignatura: Equity and Fixed Income Código:
More information240ST014 - Data Analysis of Transport and Logistics
Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 240 - ETSEIB - Barcelona School of Industrial Engineering 715 - EIO - Department of Statistics and Operations Research MASTER'S
More informationTeaching guide for the course: FINANCIAL ACCOUNTING I
Teaching guide for the course: FINANCIAL ACCOUNTING I Degree program: Degree in Business Administration and Management Course 2012 2013 0 Teaching Guide 1. Information about the course Name Subject Module
More informationTeaching Plan. Financial Statement Analysis
Teaching Plan Financial Statement Analysis Study: ADE, Empresarials-Management Code: 20839/21849 Course: second Term: First Number of ECTS credits: 5 Hours of student s dedication: 125 Language: Català
More informationCurriculum for the Bachelor s Degree Programme in International Hospitality Management 2014 to 2016
Curriculum for the Bachelor s Degree Programme in International Hospitality Management 2014 to 2016 Curriculum for the Bachelor s Degree Programme in International Hospitality Management 2014 to 2016 Foreløbig
More informationCódigo Asignatura Créditos Idioma P NP Total 29107 Inglés I 2.4 3.6 6 Inglés
Pág.: 1 de 11 1.-Subject details Código Asignatura Créditos Idioma P NP Total 29107 2.4 3.6 6 Inglés Titulación Carácter Curso Semestre Estudios Grado en Turismo FB 1º 1º Grado FB: Formación básica FOb:Formación
More informationManagement Science and Business Information Systems
Objectives The objectives of the course are: Understand and practice the main concepts of MS Apply the concepts of MS in real business cases Understand the consequences of MS in companies competitive advantage
More informationLearning outcomes. Knowledge and understanding. Competence and skills
Syllabus Master s Programme in Statistics and Data Mining 120 ECTS Credits Aim The rapid growth of databases provides scientists and business people with vast new resources. This programme meets the challenges
More informationTeaching guide for the course: BUSINESS STATISTICS I
Teaching guide for the course: BUSINESS STATISTICS I Degree program: Degree in Business Administration and Management Year 2012-2013 - 0 - Teaching Guide 1. Information about the course Name Subject Module
More informationGUÍA DOCENTE Inglés III. Código Asignatura Créditos Idioma P NP Total 29123 Inglés III 2.4 3.6 6 Inglés
Pág.: 1 de 11 1.- Subject details Código Asignatura Créditos Idioma P NP Total 29123 2.4 3.6 6 Inglés Titulación Carácter Curso Semestre Estudios Grado en Turismo Obligatoria 3º 1º Grado Profesor Sra.
More informationUNIVERSITY OF BELGRADE FACULTY OF PHILOSOPHY. Part two: INFORMATION ON DEGREE PROGRAMS
Part two: INFORMATION ON DEGREE PROGRAMS Part two: Information on Degree Programs Philosophy Bachelor s Degree Philosophy Master s Degree Philosophy Doctoral Degree Sociology Bachelor s Degree Sociology
More informationDESCRIPTION OF COURSES
DESCRIPTION OF COURSES MGT600 Management, Organizational Policy and Practices The purpose of the course is to enable the students to understand and analyze the management and organizational processes and
More informationTransport Demands Models
ESCUELA DE INGENIEROS DE CAMINOS, CANALES Y PUERTOS. Curso académico 2015-16 Pág. 1 de 8 Transport Demands Models 1. General overview UPM Code Credits Type Specialization Language 43000411 4,5 Optional
More informationUniversity of the Balearic Islands Teaching guide
21, 1S, GTUR identification Credits Teaching period Teaching language 2.4 in-class (60 hours) 3.6 distance (90 hours) 6 totals (150 hours). 21, 1S, GTUR(Campus Extens) 1st semester Lecturers Lecturers
More informationBUSINESS FORECASTING
BUSINESS FORECASTING January-May 2011 Professors Rogerio Domenge, Ph.D. domenge@itam.mx Aurora Monroy, MD monroy@itam.mx Julieta María Sarralde, MD: sarralde@itam.mx (Coordinator) Rubina Verma, Ph.D. rubina.verma@itam.mx;
More informationDegree Type Year Semester. 2501572 Business Administration and Management OB 2 2. 2501573 Economics OT 4 0
Cost Accounting 2015/2016 Code: 102374 ECTS Credits: 6 Degree Type Year Semester 2501572 Business Administration and Management OB 2 2 2501573 Economics OT 4 0 Contact Name: Pere Nicolás Plans Email: Pere.Nicolas@uab.cat
More informationFACULTY OF ECONOMICS AND BUSINESS SCIENCE Elviña Campus, A Coruña Updated: october 2005 GRADUATE IN BUSINESS ADMINISTRATION AND MANAGEMENT
FACULTY OF ECONOMICS AND BUSINESS SCIENCE Elviña Campus, A Coruña Updated: october 2005 Address Campus de Elviña 15071 A Coruña Tel.: +34.981.167000 (Ext.: 2409) Fax.: +34. 981.167070 Webpage: www.udc.es
More informationFinance. Corporate Finance. Additional information: See Moodle. Investments
Finance Corporate Finance Yrityksen rahoitus Code: LASK3047 Credit Units: 6 ETCS Time: Autumn semester, periods I-II. Content: Overview of corporate finance including valuation of stocks and bonds, capital
More informationUniversidad de Alcalá
Circuit Electronics Degree in Electronic Communications Engineering Degree in Telecommunications Systems Degree in Technology Telecommunication Telematics Engineering Universidad de Alcalá Academic Year
More informationCurriculum for the basic subject at master s level in. IT and Cognition, the 2013 curriculum. Adjusted 2014
D E T H U M A N I S T I S K E F A K U L T E T K Ø B E N H A V N S U N I V E R S I T E T Curriculum for the basic subject at master s level in IT and Cognition, the 2013 curriculum Adjusted 2014 Department
More informationSTATISTICS APPLIED TO BUSINESS ADMINISTRATION
BASIC PROGRAM FOR THE COURSE STATISTICS APPLIED TO BUSINESS ADMINISTRATION Degree: BA (ADE) Course: 2nd Semester: second Credits: 6 Type: Core Code: 25837 Department of Applied Economics III (Econometrics
More informationRegression and Multivariate Data Analysis
Regression and Multivariate Data Analysis STAT-GB.2301 STAT-UB.17 Jeffrey S. Simonoff Office: KMC 8 54 Phone: (212) 998 0452 FAX: (212) 995 4003 e mail: jsimonof@stern.nyu.edu Class meeting time: Wednesdays,
More informationMSc Business Analysis and Finance.
MSc Business Analysis and Finance Programme Specification Course Title MSc Business Analysis and Finance. Course Overview The MSc Business Analysis and Finance degree is a one-year full-time course for
More informationCOURSE SYLLABUS. Administración y Dirección de Empresas y Derecho. (English teaching)
1. COURSE DESCRIPTION Degree: Administración y Dirección de Empresas (English teaching) Double Degree: Administración y Dirección de Empresas y Derecho (English teaching) Course: MANAGEMENT INFORMATION
More informationINSTITUTO DE ESTUDIOS DE POSTGRADO MÁSTER UNIVERSITARIO ERASMUS MUNDUS EN CIENCIAS FORENSES CURSO 2014/15 ASIGNATURA: QUÍMICA ANALÍTICA FORENSE
INSTITUTO DE ESTUDIOS DE POSTGRADO MÁSTER UNIVERSITARIO ERASMUS MUNDUS EN CIENCIAS FORENSES CURSO 2014/15 ASIGNATURA: DATOS DE LA ASIGNATURA Denominación: Código: 8711 Plan de estudios: MÁSTER UNIVERSITARIO
More information240071 - Project Management
Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 240 - ETSEIB - Barcelona School of Industrial Engineering 736 - PE - Department of Engineering Design BACHELOR'S DEGREE IN MATERIALS
More informationCOURSE SYLLABUS. Academic year 2012-2013. (English teaching)
1. COURSE DESCRIPTION Degree: Administración y Dirección de Empresas (English teaching) Double Degree: Derecho y Administración y Dirección de Empresas (English teaching) Course: BUSINESS MANAGEMENT PROCESS
More informationLearning Objectives for Selected Programs Offering Degrees at Two Academic Levels
Learning Objectives for Selected Programs Offering Degrees at Two Academic Levels Discipline Degree Learning Objectives Accounting 1. Students graduating with a in Accounting should be able to understand
More informationSection Format Day Begin End Building Rm# Instructor. 001 Lecture Tue 6:45 PM 8:40 PM Silver 401 Ballerini
NEW YORK UNIVERSITY ROBERT F. WAGNER GRADUATE SCHOOL OF PUBLIC SERVICE Course Syllabus Spring 2016 Statistical Methods for Public, Nonprofit, and Health Management Section Format Day Begin End Building
More informationSchool of Business Masters in International Management 2012/2013. Gerald P. Dwyer N/A gpdwyer@gmail.com By appointment during the class week
School of Business Masters in International Management 2012/2013 MODULE CODE: BU7510 MODULE NAME: Financial Econometrics ECTS: This course carries 5 ECTS credits. Lecturer: Phone: E-mail: Office Hours:
More informationUNIVERSIDAD LOYOLA ANDALUCÍA
UNIVERSIDAD LOYOLA ANDALUCÍA CAMPUS CORDOBA 2 ND SEMESTER / SPRING SEMESTER LIST OF AVAILABLE SUBJECTS Here you will find the academic offer available in each Bachelor s degree programme (Campus Cordoba):
More informationTHE UNIVERSITY OF MANCHESTER Postgraduate Programme Specification
Note: To add a new row to any table sit in the last column of the last row and press the Tab key. 1. GENERAL INFORMATION Award Programme Title Duration Mode of study MSc Information Systems Engineering
More informationSyllabus for the course: Operations Management. Index
Syllabus for the course: Operations Management Index 1. Course description data... 2 2. Presentation of the course... 3 3. Competences to be achieved in the course... 4 4. Contents... 5 5. Evaluation...
More informationLAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE
LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 119 STATISTICS AND ELEMENTARY ALGEBRA 5 Lecture Hours, 2 Lab Hours, 3 Credits Pre-
More informationMEBS09 Didactics of Natural, Social and Cultural Sciences
MEBS09 Didactics of Natural, Social and Cultural Sciences Asignatura: MEBS09 Didactics of Natural, Social and Cultural Sciences Carácter: Elective Idioma: English Créditos: 6 Curso: 1st Semestre: Second
More informationPROGRAMME SPECIFICATION POSTGRADUATE PROGRAMMES. Programme name MSc Project Management, Finance and Risk
PROGRAMME SPECIFICATION POSTGRADUATE PROGRAMMES KEY FACTS Programme name MSc Project Management, Finance and Risk Award MSc School School of Mathematics, Computer Science and Engineering Department or
More informationTotal Credits: 30 credits are required for master s program graduates and 51 credits for undergraduate program.
Middle East Technical University Graduate School of Social Sciences Doctor of Philosophy in Business Administration In the Field of Accounting-Finance Aims: The aim of Doctor of Philosphy in Business Administration
More informationGENERAL SYLLABUS FOR PHD STUDIES IN BUSINESS ADMINISTRATION
1 (9) 2014-06-27 GENERAL SYLLABUS FOR PHD STUDIES IN BUSINESS ADMINISTRATION (this is a translation of the original document in Swedish 1 ) 120 and 240 higher education credits 1. Subject description The
More informationDEVELOPMENT AND ASSESSMENT OF COMPETENCES THROUGH PARTICIPATIVE LEARNING METHODOLOGIES FOR CORPORATE ACCOUNTING (OPERACIONES SOCIETARIAS)
DEVELOPMENT AND ASSESSMENT OF COMPETENCES THROUGH PARTICIPATIVE LEARNING METHODOLOGIES FOR CORPORATE ACCOUNTING (OPERACIONES SOCIETARIAS) Carretié Arangüena, Héctor Business Management Department Faculty
More informationUNIVERSIDAD DE GUADALAJARA
UNIVERSIDAD DE GUADALAJARA CENTRO UNIVERSITARIO DE CIENCIAS ECONÓMICO ADMINISTRATIVAS MASTER BUSINESS ADMINISTRATION COURSE PROGRAM 1. - SUBJECT Economic Environment 2. - SUBJECT CODE NRC D0812 3. - PREREQUISITES
More informationEconomic Statistics (ECON2006), Statistics and Research Design in Psychology (PSYC2010), Survey Design and Analysis (SOCI2007)
COURSE DESCRIPTION Title Code Level Semester Credits 3 Prerequisites Post requisites Introduction to Statistics ECON1005 (EC160) I I None Economic Statistics (ECON2006), Statistics and Research Design
More informationBachelor s Programme in Analytical Finance, 180 credits
Programme Syllabus Page 1 of 7 2012-05-10 Bachelor s Programme in Analytical Finance, 180 credits This programme syllabus is valid for programmes given after 1 July 2012. This is a translation of the original
More informationSUBJECT: PUBLIC RELATIONS STRATEGIC PLANNING YEAR: SECOND TERM: FIRST TIPE: COMPULSORY CREDITS: 3 LANGUAGE: ENGLISH GOALS:
SUBJECT: PUBLIC RELATIONS STRATEGIC PLANNING YEAR: SECOND TERM: FIRST TIPE: COMPULSORY CREDITS: 3 LANGUAGE: ENGLISH GOALS: This subject develops students understanding of the role of public relations as
More informationHealthcare Administration
University of Illinois at Chicago 1 Healthcare Administration Mailing Address: MHA Program Division of Health Policy and Administration School of Public Health (MC 923) 1603 West Taylor Street Chicago,
More informationExecutive Master of Public Administration. QUANTITATIVE TECHNIQUES I For Policy Making and Administration U6310, Sec. 03
INSTRUCTORS: PROFESSOR: Stuart E. Ward TEACHING ASSISTANT: Hamid Rashid E-Mail: sew9@columbia.edu hr99@columbia.edu Office Phone# 212.854.5941 (o) To Be Announced Office Room# 407A To Be Announced MEETING
More informationCOURSES: 1. Short Course in Econometrics for the Practitioner (P000500) 2. Short Course in Econometric Analysis of Cointegration (P000537)
Get the latest knowledge from leading global experts. Financial Science Economics Economics Short Courses Presented by the Department of Economics, University of Pretoria WITH 2015 DATES www.ce.up.ac.za
More informationThis Document is a Draft. College of Technology and Management (ESTiG) Polytechnic Institute of Bragança (IPB) Degree in Management
This Document is a Draft Institution: College of Technology and Management (ESTiG) Polytechnic Institute of Bragança (IPB) Degree in Management SCIENTIFIC AREA SIGLA COMPULSORY ECTS OPTIONAL Management
More informationFaculty of Organizational Sciences
Faculty of Organizational Sciences Management EC TS: 60/ L anguage of instruc tion: Serbian/ degree: M A S TER The Master s degree study program of Management is the continuation of undergraduate studies
More information1.- NAME OF THE SUBJECT 2.- KEY OF MATTER. None 3.- PREREQUISITES. None 4.- SERIALIZATION. Particular compulsory 5.- TRAINING AREA.
UNIVERSIDAD DE GUADALAJARA CENTRO UNIVERSITARIO DE CIENCIAS ECONÓMICO ADMINISTRATIVAS MAESTRÍA EN ADMINISTRACIÓN DE NEGOCIOS 1.- NAME OF THE SUBJECT Selected Topics in Management 2.- KEY OF MATTER D0863
More informationMy Office Hours: Mondays 12:30-2:00 and Fridays 10:30-12:00 and by appointment.
CRP 5450: Inferential Statistics for Planning and Public Policy Spring 2015 Professor Nancy Brooks 212 Sibley Hall phone: 255-2186 email: nb275@cornell.edu blackboard site: blackboard.cornell.edu. My Office
More informationZ-ZIP2-0543. Ekonometria i prognozowanie. Econometrics and Forecasting
MODULE DESCRIPTION Module code Z-ZIP2-0543 Module name Ekonometria i prognozowanie Module name in English Econometrics and Forecasting Valid from academic year 2016/2017 A. MODULE PLACEMENT IN THE SYLLABUS
More informationCOURSE SYLLABUS. (English teaching)
1. COURSE DESCRIPTION Degree: Administración y Dirección de Empresas (English teaching) Double Degree: Derecho y Administración y Dirección de Empresas (English teaching) Course: FINANCIAL MATHEMATICS
More informationBusiness Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.
Business Course Text Bowerman, Bruce L., Richard T. O'Connell, J. B. Orris, and Dawn C. Porter. Essentials of Business, 2nd edition, McGraw-Hill/Irwin, 2008, ISBN: 978-0-07-331988-9. Required Computing
More informationProfessionsbachelor i Innovation og Entrepreneurship Bachelor of Innovation and Entrepreneurship
Bachelor of Innovation and Entrepreneurship 2012-2014 Professionsbachelor i Innovation og Entrepreneurship Bachelor of Innovation and Entrepreneurship August 2012 Bachelor of Innovation and Entrepreneurship
More informationCurriculum for Master in Problem Based Learning in Engineering and Science (MPBL)
Faculty of Engineering and Science Study board for Techno Anthropology Curriculum for Master in Problem Based Learning in Engineering and Science (MPBL) Aalborg University 2013 Campus: Aalborg Preface:
More informationSTUDY REGULATIONS Study regulations for International Executive Master of Business Administration (MBA) program, applicable to English language
STUDY REGULATIONS Study regulations for International Executive Master of Business Administration (MBA) program, applicable to English language version Table of contents Page 2 1 Equity principle... 3
More informationInternational Management
International Management Máster Universitario en INTERNATIONAL BUSINESS ADMINISTRATION (MBA) Universidad de Alcalá Edition 2015/2016 GUÍA DOCENTE Nombre de la asignatura: International Management Código:
More informationApplied mathematics and mathematical statistics
Applied mathematics and mathematical statistics The graduate school is organised within the Department of Mathematical Sciences.. Deputy head of department: Aila Särkkä Director of Graduate Studies: Marija
More informationfor an appointment, e-mail j.adda@ucl.ac.uk
M.Sc. in Economics Department of Economics, University College London Econometric Theory and Methods (G023) 1 Autumn term 2007/2008: weeks 2-8 Jérôme Adda for an appointment, e-mail j.adda@ucl.ac.uk Introduction
More informationForecasting Methods / Métodos de Previsão Week 1
Forecasting Methods / Métodos de Previsão Week 1 ISCTE - IUL, Gestão, Econ, Fin, Contab. Diana Aldea Mendes diana.mendes@iscte.pt February 3, 2011 DMQ, ISCTE-IUL (diana.mendes@iscte.pt) Forecasting Methods
More informationName of the module: Multivariate biostatistics and SPSS Number of module: 471-8-4081
Name of the module: Multivariate biostatistics and SPSS Number of module: 471-8-4081 BGU Credits: 1.5 ECTS credits: Academic year: 4 th Semester: 15 days during fall semester Hours of instruction: 8:00-17:00
More informationCOURSE DESCRIPTOR Signal Processing II Signalbehandling II 7.5 ECTS credit points (7,5 högskolepoäng)
Blekinge Institute of Technology School of Engineering, ASB Andhra University College of Engineering (A) TWO YEAR DOUBLE DEGREE MASTERS PROGRAM MS (SIGNAL PROCESSING) FIRST YEAR I SEMESTER CODE Name of
More informationSoftware Quality Management
Software Quality Management Learning Guide Information for Students 1. Description Grade Module Máster Universitario en Ingeniería de Software - European Master on Software Engineering Support Processes
More informationThe course is designed to be applicable, either if the student develops its career in a large enterprise, a SME, or builds its own start up.
TEACHING PLAN FOR INFORMATION SYSTEMS 1. Basic description Name of the course: Information Systems Academic year: 2013-2014 Term: 1st Degree / Course: Bachelor s Degree in International Business and Marketing
More informationCurriculum for the PhD Program Management at the University of Innsbruck School of Management
The English version of the curriculum for the PhD Program Management is not legally binding and is for informational purposes only. The legal basis is regulated in the curriculum published in the University
More informationMaster in Economics and Business Administration [MEBA]
[MEBA] Universitat Autònoma de Barcelona About MEBA The Master in Economics and (MEBA) is a one-year full-time official master program of 60 ECTS, organized by the Faculty of Economics and of the Universitat
More informationHealth Policy and Administration PhD Track in Health Services and Policy Research
Health Policy and Administration PhD Track in Health Services and Policy INTRODUCTION The Health Policy and Administration (HPA) Division of the UIC School of Public Health offers a PhD track in Health
More informationECTS equivalent. Any special criteria PGDip International Marketing 120 60 Students undertake 120 credits from taught modules 4. Exit award.
PROGRAMME APPROVAL FORM SECTION 1 THE PROGRAMME SPECIFICATION 1. Programme title and designation International Marketing 2. Final award Award Title Credit value ECTS equivalent MSc International Marketing
More information