Curricular Unit:			Code:
Quantitative Methods and Accounting for Managers			877MQCG
Year:	Level:	Course:	Credits:
1	Master	Business Sciences	6 ects
Learning Period:		Language of Instruction:	Total Hours:
Winter Semester		Portuguese/English	78
Learning Outcomes of the Curricular Unit:
To understand the importance of business forecasting in decision-making and to apply basic quantitative forecasting methods. linear programming as a management tool. To understand the basic accounting framework as a management practice and to apply the key financial analysis tools and techniques, that allow elaborating a financial diagnosis. Skills: acquisition of specific knowledge and tools of quantitative forecasting methods and linear programming; recognition of basic accounting process as a management practice; acquisition of financial analysis tools and techniques; adaptation to new situations; autonomy.
Syllabus:
Quantitative methods for management: quantitative forecasting methods (selection criteria, moving averages, smoothing methods, linear regression); linear programming. Accounting for managers: basic accounting concepts (Portuguese standards and financial statements); financial analysis (financial equilibrium and profitability analysis).
Demonstration of the Syllabus Coherence with the Curricular Unit's Objectives:
1 Forecasting. Allows understanding the importance of forecasting in decision-making by presenting its nature, scope and methodology. Allows applying forecasting techniques through case studies. 2 Linear programming. Allows understanding LP modelling, by identifying the variables, the objective and constraints, and by interpreting the solution. 3 Basic concepts of accounting. Allows understanding the importance of accounting in decision-making by presenting Portuguese accounting standards (Sistema de Normalização Contabilística - SNC). 4 Economic and Financial Analysis: Allows preparation an economic and financial analysis by calculating and by using a critical approach in interpreting financial ratios.
Teaching Methodologies (Including Evaluation):
The course relies on theoretical presentations, conceptual clarification and computational calculation. Lectures combine theory and practice, and analysis of case-study scenarios. Assessment is based on written papers (50% + 50%).
Demonstration of the Coherence between the Teaching Methodologies and the Learning Outcomes:
The combination of theoretical presentations and problem solving tasks enables students to acquire specific management techniques well as to practice its application to specific case-scenarios.
Reading:
PARTE A Caiado, J. (2016). Métodos de Previsão em Gestão - Com Aplicações em Excel, 2e. Lisboa: Edições Sílabo. DeLurgio, S. A. (1998). Forecasting Principles and Applications. Boston: McGraw Hill. Hillier, F. S. and Hillier, M. S. (2019). Introduction to Management Science: A Modelling and Case Studies Approach with Spreadsheets, 6e. New York: McGraw Hill. Makridakis, S., Wheelwright, S. C. and McGee, V. E. (1998). Forecasting: Methods and Applications, 3e. New York: John Wiley & Sons. Taylor III, B. W. (2016). Introduction to Management Science, 12th. Boston: Ed. Pearson. PARTE B Borges, A., Rodrigues, A. e Rodrigues, R. (2014). Elementos de Contabilidade Geral, 26e. Lisboa: Areas Editora. Neves, J. (2014). Análise e Relato Financeiro – Uma Visão Integrada de Gestão, 7e. Lisboa: Texto Editores. Sistema de Normalização Contabilístico. Aprovado pelo Decreto-Lei nº 158/2009 de 13 de julho e legislação complementar.