ECTSCodeAvailability
5.0MGDI_EGOTutorial

Syllabus:

  1. To understand organization’s benefits of a strategic focus culture;
  2. To monitor the evolutionary perspectives of strategic management;
  3. To know the fundamental theories of management and administration;
  4. To understand the management process based on its explanatory theories;
  5. To structure critical thinking about the management process associated.

SPECIFIC OBJECTIVES: Upon completion of this Course, the student should be able to:

  1. To apply the appropriate concepts to develop and implement a strategy at the level of a business;
  2. To apply industry analysis techniques, environmental analysis and competition analysis;
  3. To select and implement a strategy and specify barriers typically underlying these practices.
  4. To link the theoretical concepts and ideas that allow long run risks minimization.
  5. Critically evaluate the fundamentals of management based on students’ theory and research.

Part I: Basics of Management

  1. Introduction to Strategy
  2. Analysis of Strategic Positioning
  3. Strategy Choice and Formulation
  4. Information and Strategy
  5. Strategic Management and Quality Management Systems

Part II: Management Theories

  1. Resource-based Theory
  2. Theory of Transaction Costs;
  3. Agency theory
  4. Governance Theory
  5. Knowledge-based theory
ECTSCodeAvailability
5.0MGDI_MITutorial

Syllabus:

GENERAL OBJECTIVES:

This curricular units aims providing students with the tools for rigorous research in business and with the main instruments of scientific research methodologies, which will allow them to perform research and data analysis, to define a research problem, to find and synthesize the most relevant literature, to choose the research strategy, as well as data collection and analysis techniques.

SPECIFIC OBJECTIVES: Upon completion of this Course, the student should be able to:

– To know the process of scientific research

– To decide on methodological processes adequate to the different research problems

– To critically interpret and discuss research results

  1. Research Design
    2. Qualitative methods
    3. Quantitative methods 
    4. Combining qualitative and quantitative methods.
ECTSCodeAvailability
5.0MGDI_GFTutorial

Syllabus:

GENERAL OBJECTIVES:                                                             

Provide students with fundamental skills in financial and management accounting.

The development of fundamental skills in finance.

 

SPECIFIC OBJECTIVES:

  1. Analyse the financial statements.
  2. Assess the financial balance.
  3. Know the fundamental elements for economic and financial analysis and make decisions based on those elements.
  4. Analyse financial information from a management perspective.
  5. Understand the purpose of the financial function and the role of the financial manager.
  6. Understand the concept of opportunity cost, associated with time of financial decisions.
  7. Understand the relationship between profitability and risk.
  8. Analyse and reflect on the financing methods and make decisions to reach an optimal financial structure.
  9. Understand the importance of the dividends policy in creating value.

PART I – Accounting

 

  1. Analysis of accounting and financial statements:
    • Balance sheet
    • Profit-and-loss statement
    • Performance ratios and financial position
  2. Financial balance of the company:
    • Origin and Application of Funds
    • Working capital
    • Working Capital Needs
  3. Economic-financial performance from the perspective of management:
    • Financial Analysis
    • Value creation

PART II – Finance

 

  1. The role of the financial manager
  2. The value of money over time
  3. Portfolio theory:
    • Risk and Return
    • Risk diversification
    • Investment portfolio efficiency
  4. Financial Asset Valuation Models:
    • CAPM
    • APM
    • Fama French Five Factor Asset Pricing Model
ECTSCodeAvailability
5.0MGDI_MSITutorial

Syllabus:

GENERAL OBJECTIVES:

GO1 – To use mathematical models, techniques and methods suitable for the analysis of the real situation, its interpretation and simplification

GO2 – To select and use the most appropriate methods and software to solve industrial optimization problems

GO3 – To analyze, interpret and evaluate industrial processes through simulation

 

SPECIFIC OBJECTIVES: Upon completion of this course, the student should be able to:

O1 – To model industrial problems using Integer Programming (IP) and Mixed Integer Programming (MIP) formulations

O2 – To solve IP and MIP problems, using the appropriate techniques and tools

O3 – To know information systems and simulation technologies

O4 – To formulate and solve problems through industrial simulation

GENERAL OBJECTIVES:

GO1 – To use mathematical models, techniques and methods suitable for the analysis of the real situation, its interpretation and simplification

GO2 – To select and use the most appropriate methods and software to solve industrial optimization problems

GO3 – To analyze, interpret and evaluate industrial processes through simulation

 

SPECIFIC OBJECTIVES: Upon completion of this course, the student should be able to:

O1 – To model industrial problems using Integer Programming (IP) and Mixed Integer Programming (MIP) formulations

O2 – To solve IP and MIP problems, using the appropriate techniques and tools

O3 – To know information systems and simulation technologies

O4 – To formulate and solve problems through industrial simulation

ECTSCodeAvailability
5.0MGDI_LGCAITutorial

Syllabus:

GENERAL OBJECTIVES

  1. Know route optimizationtools and their benefits for logistics processes
  2. Understand the role of logisticsin organizational performance
  3. Develop decision-making capacity within the scope of logistics operations and the supply chain
  4. Increase scientific research skills in the scope of the internationalization process of organizations.

SPECIFIC OBJECTIVES

  1. Plan and optimize routes
  2. Identify logistics operations as a factor of competitiveness and their integration in the value chain
  3. critically analyse the characteristics and implications of demanding forecasting models in supply chain management
  4. Understand the functioning of the inventory and irs main implications for supply chain management
  5. Assess the diferet means of transport at the disposal of logistical solutions and their implications for supply chain management
  6. Know the new trends in operations and logistics management

CONTENTS

Cap. I: Route optimization

Cap. II: Inventory Optimization

  1. The role of Logistics Management: systemic view
  2. Future trends in Logistics and Supply Chains

Cap. III: Management of International Supply Chains

  1. Strategic Alignment in supply chains
  2. Supply chain management planning
  3. Information systems for supply chain management
  4. Purchasing management in the supply chain
  5. Inventory management along the supply chain
  6. Transport management in the supply chain
ECTSCodeAvailability
5.0MGDI_OITutorial

Syllabus:

GENERAL OBJECTIVES:

OG1 – To acquire knowledge of decision support optimization models in organizations

OG2 – To contribute to the promotion of research in the field of optimization

OG3 – To select and use the most appropriate methods and software to solve industrial optimization problems

 

SPECIFIC OBJECTIVES: Upon completion of this Course, the student should be able to:

O1 – Model problems using linear and non-linear optimization formulations

O2 – Know linear and non-linear optimization methodologies and techniques

O3 – Solve optimization problems

O4 – Use the appropriate software to solve optimization problems

O5 – Validate the models and interpret the solutions obtained in order to develop recommendations for the system under analysis.

C1 – Optimization problems

– General form of optimization problems

– Modeling and classification of problems

– optimality conditions

C2 – Linear optimization problem solving methods:

– Primal simplex method

– Artificial Variables and Big M Method

– Revised simplex method

– Dual simplex method

C3 – Non-linear optimization problem solving methods:

– Quadratic problems,

– Unconstrained and constrained problems,

– Derivative-free optimization,

– Multiobjective problems;

– Use of software (Scilab, AMPL, Excel) to solve industrial problems

ECTSCodeAvailability
30.0MGDI_TIGTutorial

Syllabus:

  1. Examine and criticize themes present in the current theoretical and empirical debate on the management of organizations
  2. Assess / criticize the role of management in organizations
  3. Develop and support a management research program suggesting feasible research avenues

SPECIFIC OBJECTIVES: Upon completion of this Course, the student should be able to:

  1. Prepare, present and discuss a dissertation/project proposal on a relevant topic in management.

2. Develop an article of a scientific nature applied in the area of management

  1. Management in Organizations
  2. Management in the corporate, public and non-profit sector
  3. Current Management Topics

4. Support Theories for Management Research

BUSINESS SCIENCES

ECTSCodeAvailability
5.0MGDI_CGRSTutorial

Syllabus:

GENERAL OBJETIVES:                                                                

  1. Identify and understand the evolution of corporate governance and sustainability
  2. Identify and understand the evolution of corporate social responsibility

 

SPECIFIC OBJETIVES: Upon completion of this course, the student should be able to:

  1. understand the evolution of corporate governance and sustainability concepts
  2. Apply the appropriate concepts to develop a network of governance
  3. understand the concepts of linked to corporate social responsibility
  4. Identify evaluation forms and accountability

Part I – Corporate Governance and Sustainability

Evolution of corporate governance models

Nature and structure of Corporate Governance

Theoretical Framework: agency, resources and sustainability theories

Internal and external mechanisms of Corporate Governance

Governance and networking – management challenges  

Part II – Corporate Social Responsibility

Corporate Social Responsibility (CSR): concepts and models

Drivers of CSR (facilitators, obstacles and advantages)

Stakeholders management

Accountability and evaluation

ECTSCodeAvailability
6.0MGDI_MQTutorial

Syllabus:

GENERAL OBJECTIVES

To know different statistical approaches to decision support in economy and management

To identify the most appropriate methods to solve concrete problems

To adquire skills in terms of tools to support scientific research

SPECIFIC OBJECTIVES

To distinguish tools to support scientific research in different problematic situations

To know and apply multivariate data analysis methods to support decision making

Select, from a variety of statistical methods, those that best apply to specific situations

Interpret the results obtained from the application of statistical methods

CONTENTS

Introductory concepts: Descriptive statistics; Association of variables;

Comparison of means and medians:

Factor analysis: Exploratory, Confirmatory-Reliable Measure

Multiple Linear Regression

Discriminant Analysis

Cluster Analysis

Logistic and multinomial regression

 

 

ECTSCodeAvailability
5.0MGDI_AFPITutorial

Syllabus:

GENERAL OBJECTIVES:

The general objective of this curricular unit is the development of knowledge about investment projects that allows the student to plan and evaluate investments making the best decisions regarding the selection of projects and the sources of financing.

 

SPECIFIC OBJECTIVES:

At the end of this curricular unit, the student should be able to:

  1. Understand the types of investment, undertaking the investment decisions within the scope of the firm’s general planning.
  2. Determine investment and project cash flows.
  3. Determine the cost of capital related to the investment project.
  4. Know the different models of investment project appraisal, making use of their critical capabilities to undertake investment decisions.
  5. Integrate risk analysis methodologies in the design of investment projects.
  6. Analyze the relative advantages between different financing options by (internal and external) equity and debt, with different maturities.

7. Understand the specifics of investment projects appraisal, with cash flows in foreign currency.

  1. Introduction to investment appraisal (IA)

1.1. Delimitation of the area under study

1.2. Typologies of investment projects (IP)

1.3. Development phases of an IP

  1. Cash flows (CF)

2.1. Notions of CF and its calculation

2.2. Incremental CF and relevant CF

2.3. Notion of sunk costs

2.4. IP duration

2.5. The residual value of the PI

  1. Evaluation and selection criterias of investments

3.1. Discount rate and cost of capital

3.2. Net present value (NPV) and ajusted NPV

3.3. Internal rate of return (IRR) and modified IRR

3.4. Other criteria

3.5. IP selection

  1. Risk and uncertainty in the investment decisions

4.1. Sensitivity analysis

4.2. Scenario analysis

4.3. Decision trees

4.4. Other methods of risk analysis

  1. IP financing

5.1. Introduction: Equity versus non-equity

5.2 Short-term financing

5.3. Medium-long term financing

  1. International IP

6.1. Notions of international context

6.2 Financial flows and foreign exchange risk

6.3. Appraisal of international IPs

ECTSCodeAvailability
5.0MGDI_ADITutorial

Syllabus:

GENERAL OBJECTIVES

Identify good practices in information collection

Recognize the most appropriate methods for pre-processing and analyzing data

Support decision-making on analyses upon industrial data

SPECIFIC OBJECTIVES

Properly use methodologies to define data collection instruments

Know and apply data analysis methods that allow the modeling of industrila situations

Select, from a variety of methods of graphical data representation, those that best illustrate industrial realities

CONTENTS

Data Collection:

Data collection techniques;

Sample definition;

Questionnaires construction;

Digitalization processes in data collection;

Big data in decision making.

Data Analysis:

Data characterization

Data pre-processing

Decision trees

Data distributions

Data fit models

Presentation of data:

Graphics and free visualisation tools

Analysis of real databases: production, stakeholders, marketing, finance, risk, execution times

 

ECTSCodeAvailability
3.0MGDI_RIETutorial

Syllabus:

GENERAL OBJECTIVES

 

  1. To know the mechanisms associated with training and participation in networks, both in terms of internationalisation and innovation processes
  2. To explore the role of social capital;
  3. To develop the knowledge concerning the theories of transaction costs and resource based-view;
  4. To promote the creation and dissemination of scientific research with national and international projection in this area of knowledge.

SPECIFIC OBJECTIVES: At the end of this course, the student should be able to:

 

  1. To analyse in depth the mechanisms associated with training and participation in networks, at the level of internationalisation and innovation;
  2. To apply a set of skills in the field of business cooperation;
  3. To connect the theoretical concepts and ideas that allow to explore the role of social capital and develop analytical skills that allow to maximize resources and minimize transaction costs.
  1. Business networks: concepts, advantages, mechanisms
  2. Innovation: sources, obstacles and barriers
  3. The role of social capital
  4. TCT and RBV as explanatory theories of networks
  5. Business cooperation
  6. Business cooperation for innovation
  7. Business cooperation for internationalisation
ECTSCodeAvailability
6.0MGDI_MPADTutorial

Syllabus:

GENERAL OBJECTIVES:                                                             

GO1 – Understand forecasting models with a temporal component to support decision making;

GO2 – Identify and apply the most appropriate methods to solve practical problems;

GO3 – Understand behavioural theories in uncertain environments and strategic interaction by rational economic agents;

GO4 – Apply the main concepts of Game Theory to Business Strategy;

 

SPECIFIC OBJECTIVES: After completing this course, the student should be able to:

O1 – Estimate longitudinal or temporal forecasting models, which include variables supported by the literature;

O2 – Interpret results and compare them with other approaches, indicating lines of action that will be more favorable;

O3 – Understand the notion of strategic behavior;

O4 – Distinguish different types of equilibrium and determine the equilibrium solution in static and dynamic games;

C1 – Longitudinal Models

– Fixed-Effects Model

– Random Effects Model

C2 – Survival Models

– Reliability and failure prediction of an equipment

C3 – Time Series

– Linear Time Series Analysis

– Multivariate Time Series Analysis

C4 – Game Theory

– Introduction

– Static games with complete information

– Dynamic games

ECTSCodeAvailability
30.0MGDI_DAPTutorial

OBJECTIVES

The dissertation will consist of scientific work on one of the themes of industrial decision.

CONTENTS

  1. Summary presentation of the objectives and methods for the elaboration of a research proposal or advanced project at master’s level
  2. Research strategies
  3. How to write a project/dissertation
  4. The importance of research questions
  5. Presentation /defense of the advanced project/dissertation