Syllabus:

OB1. Understand the fundamental concepts of software engineering;
OB2. Distinguish the concepts of methodology, method, technique and tool;
OB3. Know the main types of object-oriented analysis models, for the representation of software requirements;
OB4. Create some artifacts of object-oriented analysis;
OB5. Compare the processes of development according to the structured analysis and object-oriented analysis;
OB6. Know and use CASE tools (Computer Aided Software Engineering)
OB7. Know and use Software Engineering standards.

The general objectives of this curricular unit are:
– acquisition of skills on general programming concepts
– plan and develop solutions in the form of algorithms for solving different types of problems
– know the syntax of a programming language and implement the developed algorithms.

More specifically, after concluding this Curricular Unit, the student should be able to:
1. Have basic skills for analyzing problems and structuring algorithms to solve them
2. Know and use a software development environment and a programming language
3. Know the syntax of a programming language
4. Implement algorithms according to the imperative paradigm
5. Critically analyze a program to detect syntax, execution, and semantic errors
6. Develop programs for processing, inputting, and consulting information.

Syllabus:

The general objectives of this UC are focused on the ability to communicate orally and in writing, using grammatical, discursive, sociolinguistic and strategic skills, in situations of interaction in English, at level B2 + of CEFL. Students must be able to:
1. Communicate orally, and in writing, in the English language, interacting with other speakers, using grammatical, discursive, sociolinguistic and strategic skills in a social, academic and professional context;
2. Know how to identify, interpret texts, oral and written, in English, with particular emphasis in the professional context;
3. Know how to produce texts, oral and written, with particular emphasis on the professional context;
4. Know and know how to apply the typical language functions of different genres and interaction situations;
5. Know and know how to use the specialized lexicon, related to the world of Management and Management Systems.

Syllabus:

OBJECTIVES:
1. Understand and explain the concepts and fundamental principles of management and information systems in organizations;
2. Systemically analyse and interpret management and organizations;
3 Distinguish key management functions, demonstrating their interdepende 4 Categorize information systems by management levels
5 Integrate the concepts of management and information systems
6 Assessing the role and value of information systems in business and management
7 Understanding the multidimensional and multifunctional profile of informat systems.

Syllabus:

Objectives

O1 – Understanding the role of the logistics function and supply chain management in organizations.
O2 – Know how to interpret different inventory management policies.
O3 – Understand the importance of designing a supply chain and the trade-offs involved.
O4 – Understand the main decisions concerning warehouse management and transport planning.
O5 – Recognise the importance of information systems in supply chain management.

Syllabus:

Ojectives

O1 – Understanding the role of the logistics function and supply chain management in organizations.
O2 – Know how to interpret different inventory management policies.
O3 – Understand the importance of designing a supply chain and the trade-offs involved.
O4 – Understand the main decisions concerning warehouse management and transport planning.
O5 – Implement simulation models of logistic operations.

Syllabus:

GLOBAL OBJECTIVES:
OG1. Develop students’ skills in order to be able to respond to a business need such as Process Analysts, ?Process Automation Technicians or BPM solution programmers

SPECIFIC OBJECTIVES: Upon completion of this Course, the student should be able to:
OE1. Identify the advantages and critical success factors in implementing a solution oriented to Business Process Management
OE2. Know and understand the advantages of designing business processes according to the BPMN notation
OE3. Develop process-oriented solutions based on BPMS tools
OE4. Identify and evaluate rapid development tools
OE5. Apply knowledge in the development of a practical case

Syllabus:

1. Modeling decision problems and identify well-known problems.
2. Know and apply algorithms and specific tools for problem-solving.
3. Perform critical analysis of the performance of different algorithmic solutions.
4. Recognize the importance of using these techniques to support decision making.
5. Know areas of application of these techniques in real problems.

Syllabus:

Objectives

OB1. Understand the basics of an Information System, Types and Methodologies of designing an IS
OB2. Understand the role of Information Systems (IS) in organizations and the importance of its alignment with the business strategy;

OB3. Perform a basic usage of an ERP;

OB4. Interpret, classify and explain how the IS contributes to an organization Value Creation;
OB5. Perform a sales and acquisition process interacting with ERP interacting with the main modules (Sales, Procurement, GL Accounting, Cost Accounting, Inventory Management). Recognize the various steps involved.
OB6. Perform a basic Business/Financial Management/IT alignment

Contents

1. Information systems: Organizations, Methodologies and Strategy
2. Business applications and ERP
3. Alignment of an information system to the organization and to an integrated business software package
4. Methodologies and design of an Information System
5. Methodologies to help on understanding business models, with the objective of integration with the information systems and business applications
6. Case Study with an ERP usage

Syllabus:

1 – Understand the importance of strategic management for organizations.
2 – Understand and know how to use techniques of analysis of the environment and the company.
3 – Apply the appropriate concepts to develop and implement a strategy at corporate and business levels.

Syllabus:

Syllabus:

OBJECTIVES

1. To produce work of a scientific nature according to the scientific rules.
2. To know how to distinguish techniques of study and adequacy to the demands of the work that will have to
present.
3. To distinguish the different levels of analysis of organizational behavior.
4. To develop appropriate behaviors to team work and organizational context.
5. To develop communication and presentation, interaction and mediation skills.
6. To critique the work of other students.
7. To develop critical and reflective sense.
8. To develop goal-setting and planning skills through coaching tools

CONTENTS

A. Research Methodology, research process and current scientific rules.
B. Academic work, study techniques and work planning.
C. Concept and levels of analysis of organizational behavior.
D. The individual and the groups in the organizations.
E. Communication, oral presentations, oral and body expression.
F. Autoscopy, introduction to Coaching, constructive criticism.
G. Coaching Principles and Tools.

Syllabus:

OB1. Know and understand the process of decision making and each of its phases.
OB2. Select a group of concepts for describing real-world decision problems and be able to express them using a
modelling instrument.
OB3. Understand the basic concepts, the goals and the benefits of the analytical approach, and be able to apply optimization, simulation and modeling techniques
OB4. Know and explain the terms, concepts, methodologies and fundamental theories associated to decision support systems, as well as their application and opportunities.
OB5. To examine and describe the main components in the architecture of a DSS and how they are integrated.
OB6. To describe, analyze and evaluate the different methods and techniques used for developing DSS in
organizations.
OB7. Develop a prototype of a DSS as a solution for a real problem.

CP1. The process of decision making and decision support systems
CP2. Modelling techniques for DSS
CP2.1. Segmentation
CP2.2. Regression
CP2.3. Classification
CP2.4. Association rules
CP3. Methodologies for training models
CP3.1. Experiment design
CP3.2. Defining parameters
CP3.3. Metrics for evaluation and selection of models
CP3.4. Productionalizing models
CP4. Decision support systems
CP4.1. Architecture of a DSS
CP4.2. Development of a DSS