Guía Docente 2023-24 BUSINESS WORKSHOP II |
BASIC DETAILS:
Subject: | BUSINESS WORKSHOP II | ||
Id.: | 32811 | ||
Programme: | DOBLE GRADO EN ADMON. Y DIRECCIÓN DE EMPRESAS Y GRADO EN DERECHO | ||
Module: | MÓDULO TRANSVERSAL | ||
Subject type: | OBLIGATORIA | ||
Year: | 3 | Teaching period: | Primer Cuatrimestre |
Credits: | 6 | Total hours: | 150 |
Classroom activities: | 68 | Individual study: | 82 |
Main teaching language: | Inglés | Secondary teaching language: | Inglés |
Lecturer: | Email: |
PRESENTATION:
PROFESSIONAL COMPETENCES ACQUIRED IN THE SUBJECT:
General programme competences | G01 | Ability to analyse and summarise information from several sources. |
G02 | Creative and efficient resolution of problems that arise in day-to-day, in order to ensure the highest levels of quality of professional work. | |
G03 | Ability to organise and plan the work in the context of continuous improvement | |
G04 | Use of information and communication technologies | |
G05 | Ability to work effectively in interdisciplinary teams, integrating and participating in scientific and professional teamwork, contributing ideas and respecting and valuing the diversity of views of other team members. | |
G06 | Ability to incorporate ethical principles into the professional culture, giving priority to ethical commitment to customers and society. | |
G07 | Ability to work in an international context and innovate and adopt new approaches used in other national contexts. | |
G08 | Oral and written communication in Spanish. | |
G09 | Oral and written communication in English in academic and professional contexts. | |
G10 | Ability to apply the acquired knowledge, adapting it to the needs and special features of each situation and person. | |
G11 | Ability to come up with new ideas (creativity). | |
G12 | Ability to incorporate scientific research and evidence-based practice as a professional culture, updating knowledge and skills continuously. | |
G13 | Ability to develop learning strategies throughout life to be able to acquire new knowledge, by developing their own academic and professional path. | |
G14 | Oral and written communication in native language and in English, according to the needs of their field of study and the demands of their academic and professional environment. | |
G15 | Ability to establish and meet the most appropriate quality criteria and apply methodologies and work strategies geared towards continuous improvement. | |
G16 | Ability to assimilate concepts of a social and humanistic nature into a comprehensive university education to enable the development of ethical values such as solidarity, multiculturalism, equality, commitment, respect, diversity, integrity, etc. | |
G17 | Ability to create, from a critical and constructive point of view, proposals for social transformation based on democracy and fundamental rights of individuals. | |
Specific programme competences | E01 | Understand the specific aspects of the operation, management and control of the different functional areas of the company. |
E02 | Know and understand the local, national and international socio-economic context in which the companies operate and be able to interpret its impact on them. | |
E03 | Ability to apply the acquired knowledge of the functional areas of the company and the socio-economic environment. | |
E04 | Ability to identify related variables and understand their impact on business organisations. | |
E09 | Appreciate how the domestic and international financial markets operate. | |
E13 | Know the decision making processes in terms of policy and business strategy. | |
E14 | Understand the principles of business ethics and be able to design scenarios in which these principles can be put into business practice. | |
E15 | Propose, plan and lead business innovation projects that ensure the competitiveness of the company. |
PRE-REQUISITES:
Strong knowledge of mathematics, statistics and econometrics.
SUBJECT PROGRAMME:
Subject contents:
1 - UNIT 1. INTRODUCTION: THE ESSENTIALS OF FORECASTING |
1.1 - Basic steps |
1.2 - Forecasting research |
2 - UNIT 2: FUNDAMENTAL ISSUES IN BUSINESS FORECASTING |
2.1 - Statistics and econometrics |
2.2 - Types and sources of data |
2.3 - Forecasting accuracy. |
2.4 - Types of forecasts |
2.4.1 - Point or interval |
2.4.2 - Absolute or conditional |
2.4.3 - Alternative scenarios weighed by probabilities |
2.4.4 - Short run or long range |
2.5 - Integrated case 1 |
3 - Unit 3. FORECASTING WITH REGRESSION METHODS |
3.1 - Forecasting with simple regression |
3.2 - Forecasting with multiple regression |
3.3 - Integrated case 2 |
4 - UNIT 4: TIME-SERIES DECOMPOSITION |
4.1 - Time-series decomposition |
4.2 - Non-parametric forecasting |
4.3 - Quarterly forecasts |
4.4 - Integrated case 3 |
5 - UNIT 5: ARIMA (BOX-JENKINS) - TYPE FORECASTING METHODS |
5.1 - Introduction to the Box-Jenkins Models |
5.2 - Forecasting with Autoregressive Models (AR) |
5.3 - Forecasting with Autoregressive-Moving Average (ARMA) models |
5.4 - Forecasting seasonal time series |
5.5 - Integrated case 4 |
6 - UNIT 6: BUSINESS FORECASTING AND DATA MINING |
6.1 - Data Mining and techniques |
6.2 - Integrated case 5 |
7 - UNIT 7: FORECAST IMPLEMENTATION |
7.1 - Economic forecasting |
7.2 - Application to market research |
7.3 - Application to financial economics |
7.4 - Application to economic growth |
7.5 - Integrated case 6 |
Subject planning could be modified due unforeseen circumstances (group performance, availability of resources, changes to academic calendar etc.) and should not, therefore, be considered to be definitive.
TEACHING AND LEARNING METHODOLOGIES AND ACTIVITIES:
Teaching and learning methodologies and activities applied:
Tutorial sessions: if students require further explanation about specific contents, they should contact the lecturer to arrange a time for a tutorial.
Student work load:
Teaching mode | Teaching methods | Estimated hours |
Classroom activities | ||
Master classes | 28 | |
Other theory activities | 11 | |
Practical exercises | 4 | |
Practical work, exercises, problem-solving etc. | 8 | |
Debates | 4 | |
Coursework presentations | 4 | |
Assessment activities | 9 | |
Individual study | ||
Tutorials | 8 | |
Individual study | 42 | |
Individual coursework preparation | 9 | |
Group cousework preparation | 6 | |
Project work | 8 | |
Research work | 5 | |
Compulsory reading | 4 | |
Total hours: | 150 |
ASSESSMENT SCHEME:
Calculation of final mark:
Written tests: | 20 | % |
Final exam: | 40 | % |
Individual portfolio : | 10 | % |
Group assignment. Integrated cases: | 30 | % |
TOTAL | 100 | % |
*Las observaciones específicas sobre el sistema de evaluación serán comunicadas por escrito a los alumnos al inicio de la materia.
BIBLIOGRAPHY AND DOCUMENTATION:
Basic bibliography:
GUJARATI, Damodar. Econometrics by example. Palgrave Macmillan, 2012 |
MILLS, Terence. Palgrave handbook of econometrics. Volume 2: Applied Econometrics. Palgrave Macmillan, 2011 |
BOLVIKEN, Erik. Computation and modelling in Insurance and Finance. Institute and Faculty of Actuaries. Cambridge, 2014 |
STOCK, James. Introduction to econometrics. Pearson, 2015 |
Hyndman, R.J and Athanasopoulos, G. (2018) Forecasting: principles and practice, 2nd edition, OTexts: Melbourne, Australia. OTexts.com/ fpp2 |
EVANS, Michael K. Practical business forecasting. Blackwell Publishers, 2003 |
Aaron D. Smith J. Edward Taylor Essentials of Applied Econometrics. Oakland, California : University of California Press. Disponible a través de la plataforma Ebook Collection Ebsco de la Universidad San Jorge |
Aslanidis, Nektarios. Applied macroeconometrics. Publicacions Universitat Rovira i Virgili. Disponible a través de la plataforma Ebook de la Universidad San Jorge |
Recommended bibliography:
WOOLDRIDGE, Jeffrey. Econometric analysis of cross section and panel data. Massachusetts Institute of Technology, 2010. |
GUJARATI, Damodar. Econometría. McGraw Hill, 2009. |
URIEL, Ezequiel. Introducción al análisis de series temporales. Editorial AC, 2005 |
GREENE, William. Análisis econométrico (3a edición). Prentince Hall, 2008 |
PÉREZ, César. Estadística aplicada a través de Excel. Pearson, 2002 |
PÉREZ, César. Econometría básica : aplicaciones con EVIEWS, STATA, SAS y SPSS. Ibergaceta, 2012 |
PEÑA, Daniel. Fundamentos de estadística. Alianza editorial, 2008 |
PENA, J. Bernardo. Cien ejercicios de econometría. Pirámide, 1999 |
HAIR, Joseph F. Essentials of Marketing Research. McGraw Hill, 2013 |
HAIR, Joseph F. Análisis Multivariante. Pearson, 2007 |
WOOLDRIDGE, Jeffrey. Introducción a la econometría. Paraninfo, 2008 |
HITCHNER, James. Financial valuation : applications and models. Wiley, 2011 |
PILBEAM, Keith. International Finance. Palgrave Macmillan, 2013 |
DORNBUSCH, Rudiger. Macroeconomía. McGraw Hill, 2009 |
VARIAN, Hal. Microeconomía intermedia. Antoni Bosch Editorial, 2011. |
ELLET,William. The Case Study Handbook. Harvard Business School Press, 2007 |
CHASE, Charles. Demand-Driven Forecasting: A Structured Approach to Forecasting, 2nd Edition. Wiley, 2013 |
SYDSAETER, Knut. Matemáticas para el análisis económico. Pearson, 2011. |
CAMPBELL, Michael. Statistics at square one. John Wiley. 2009 |
SPIEGEL, Murray. Probabilidad y estadística. McGraw Hill, 2010 |
HANKE, John. Business Forecasting. Pearson, 2008. |
MAKRIDAKIS, Spyros. Forecasting: Methods and Applications.Wiley, 1998. |
RENDER, B. Quantitative Analysis for Management. Pearson, 2015 |
SOLLIS, Robert. Empirical Finance for Finance and Banking. Wiley,2012 |
WILSON,J.Holton. Business Forecasting with ForecastX. McGraw Hill, 2009 |
Recommended websites:
Instituto Nacional de Estadística | www.ine.es |
Eurostat (statistical office of the European Union) | epp.eurostat.ec.europa.eu |
International Monetary Fund | www.imf.org/external/index.htm |
World Trade Organization | www.wto.org/index.htm |
Instituto Aragonés de Estadística | www.aragon.es/Temas/Estadistica |
Ministerio de Industria, Energia y Turismo | www.minetur.gob.es/ |
The World Bank | data.worldbank.org |
* Guía Docente sujeta a modificaciones