LG1. Understand the vector and matrix language and its application to the resolution and classification of systems of linear equations.

LG2. Understand matrix language and matrix operations.

LG3. Understand the concept of determinant and its applications to the computation of areas, volumes and to solving systems of certain linear equations.

LG4. Recognize abstract vector spaces as subspaces of R^n, unless isomorphism, and understand linear functions and in particular endomorphisms.

LG5. Understand and calculate eigenvalues and eigenvectors. Determine the diagonal matrix similar to a diagonalizable matrix.

LG6. Understand the concept of series of real numbers and apply convergence criteria.

PC 1. Vectors and systems of linear equations
- The R^n vector space. Linear combination and linear dependence.
- AX = B notation. Systems of linear equations. Gauss elimination method.
- Vector subspaces.
- Base and dimension. Coordinates of a vector.
- Inner product and norm of vectors. Orthogonality.

PC 2. Matrices
- The space of the matrices. Matrix algebra.
- Inversion of matrices.
- Application to systems of linear equations AX = B.

PC 3. Determinants
- Definition and properties. Areas and volumes.
- Cramer's rule andcomputation of the inverse matrix.

PC 4. Linear functions
- Definition. Image and kernel.
- Matrix of a linear function. Dimension theorem.
- Similar matrices and base change.

PC 5. Eigenvalues and eigenvectors
- Eigenvalues and eigenvectors. Eigenspaces.
- Diagonalization and applications.

PC 6. Series
- Definition and examples.
- Series of non-negative terms.
- Series with general term without fixed sign. Absolute convergence.
- The space l^2(R).

There are two types of assessment:

1. Periodic Assessment, consisting of:
- Midterm Test 1 (50%): written test carried out during the semester; minimum grade of 7.5 values.

- Test 2 (50%): written test carried out in the 1st assessment period; minimum grade of 7.5 values.

2. Final Assessment: carrying out a final Exam (with a weight of 100%), in the 1st or 2nd period of the evaluation period.

The minimum passing grade for the curricular unit is 9.5.

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

OA1: To manipulate and to perform arithmetic operations using integer values represented in different numerical bases;

OA2: To manipulate logic expressions using properties of the Boolean algebra;

OA3: To design a combinational logic circuit that solves a given problem;

OA4: To design a sequential logic circuit that controls other elements on a digital system;

OA5: To simulate and to implement a logic circuit using a set of integrated circuits end programmable logic devices;

OA6: To categorize memory types and to design larger sized memory banks using smaller memory modules;

OA7: To identify and to relate the main elements of simple processor architectures;

OA8: To explain how the computer executes a program and to identify the main intervening mechanisms in that process;

CP1. Information representation
- Integer representation using different numerical bases
- Arithmetic operations over signed and unsigned integers
- Alphanumeric codes: ASCII and Unicode

CP2. Boolean algebra an logical functions
- AND, OR and NOT operations
- Boolean algebra
- Logical functions
- Minterms and "sum-of-products" form
- Karnaugh maps

CP3. Combinational circuits
- Combinational circuits design
- NAND, NOR and XOR gates
- Decoders and multiplexers
- Propagation delays

CP4. Sequential circuits
- Latches and flip-flops
- Sequential circuits analysis
- State diagrams and transition tables
- Sequential circuits design
- Registers and counters

CP5. Memory
- RAM memory
- ROM memory
- Memory banks

CP6. Processor architecture
- Register banks
- Functional unit
- Micro-instructions
- Program execution

1. Periodic assessment, comprising:
- One mid-term test and another end of term test. The minimum grade is 7,5. This component has a 70% weight.
- Laboratory assignments (20%): group work performed on a weekly basis, during the lab classes.
- Online mini-tests (10%): performed on a weekly basis (e-learning platform).

2. Exam assessment (100%) - the final course grade will be the one obtained in the exam (in any of the 3 evaluation epochs).

At the end of this learning units, the student is able to:
1. Identify the management models of management and their contexts.
2. Identify and describe organizations and environmental components.
3. Analyze and describe the main concepts and theories in the context of the management process: planning, decision making, organization, leadership, motivation, control and social responsibility.
4.Understand the role of IT in the design of business models and organizational management,
5.Identify and understand cases of IT adoption
6. Understand globally the digital transformation of organizations

1. Managing organizations
2. Models of Management
3. Organizational Contexts
4. Organizational Structure
5. Influence and Power
6. Motivation
7. Corporate Responsibility
8. The Role and impact of IS/IT
9. IT adoption cases
10. Digital transformation

During the learning-teaching term each student should acquire analytical, information gathering, according with the established learning outcomes for this unit.


Learning methodologies (LM):
1. Expositional
2. Participative
3. Active
4. Self-study

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Evaluation may be continuous or final.
Continuous evaluation entails the instruments:
1 Class participation and attendance - 10%
2. Test ? 45% for each (the test mark must be above 7.5).
(one of the tests may be replaced by a project/assignment)
Students may opt for a final written exam (two dates) at the end of the semester.

After obtaining approval in the course, students should be able to:

OA1. Develop functions/procedures that implement simple algorithms.

OA2. Develop code that manipulates arrays and objects.

OA3. Develop simple object classes (no recourse to inheritance and polymorphism), taking into account the notion of encapsulation.

OA4. Write and understand Java code.

CP1. Functions and parameters
CP2. Variables and control structures
CP3. Invocation and recursion
CP4. Arrays
CP5. Procedures and references
CP6. Matrices
CP7. Simple objects
CP8. Object classes
CP9. Composite objects
CP10. Composite object classes
CP11. Encapsulation and interfaces

Periodic assessment, comprising:
15% Midterm test + 75% Final test + 10% Online mini-tests
[a minimum score of 8 is required in the Final Test and C in the individual project]

The possible grades in the Individual Project are (A, B, C, D). The project grade defines an upper bound for the final grade:
A - max. 20
B - max. 16
C - max. 12
D - implies failing the course

After the course, the student will be able to:
LO1. Understand sorting and search algorithms appropriate to computational solutions;
LO2. Identify, rewrite and review common ways of organizing data and associated algorithms (with and without dynamic memory management, with iterative or recursive algorithms);
LO3. Estimate and value the complexity of algorithms on alternative data structures,
LO4. Prototype new forms of organization of data and associated algorithms suited to solve new computational problems.

PC1. The problem Union-Find
PC2. Analysis of Algorithms
PC3. Stacks, Queues, Lists, Bags
PC4. Priority Queues
PC5. Mergesort Elementary Symbol Tables
PC6. Quicksort Balanced Search Trees
PC7. Hash Tables
PC8. Elementary Sorts: Selectionsort; Insertionsort; Shellsort
PC9. Advanced Sorts: Mergesort; Quicksort; Heapsort
PC10. Sorting Complexity

Periodic Assessment: 10 weekly online evaluations (10%) + 10 weekly programming exercises (20%) + 2 periodic individual evaluations (70%) + 1 individual programming project (grades A,B,C,D).
The programming project grades are qualitative and defines an upper bond for final grade: A - max. 20; B - max. 17; C - max. 13; D - failing the course.
or
Final Examination: Individual examination (100%)

At the end of the module, it is intended that students should be able to:

LG1: Develop abstraction skills;

LG2: Calculate integrals, and interpret the results;

LG3: Calculate limits, study the continuity and differentiability of multivariable functions;

LG4: Apply numerical methods to compute approximate values of derivatives and integrals;

LG5: Use a computational tool to graphically represent curves and surfaces.

1. Differentiation
1.1 The Derivative
1.1.1 The Concept of Derivative
1.1.2 Differentiation Rules
1.1.3 Rolle's and Lagrange's Theorems
1.1.4 Numerical Methods: Bisection and Newton-Raphson
1.1.5 Graphical Representation of Functions

1.2 Primitives
1.2.1 Definition
1.2.2 Formulas for Primitives
1.2.3 Primitives by Parts
1.2.4 Primitives of Rational Functions
1.2.5 Primitives by Substitution

2. Integration in R
2.1 Riemann Integral
2.2 Conditions for Integrability
2.3 Geometric Interpretation
2.4 Fundamental Theorem of Calculus
2.5 Barrow's Rule
2.6 Numerical Methods:
2.6.1 Derivative
2.6.2 Integration

3. Vector Analysis
3.1 Topology
3.2 Representation of 2D Functions
3.3 Continuity
3.4 Limits
3.5 Partial Derivative
3.6 Differentiability
3.7 Gradient and its Graphical Representation
3.8 Differentials
3.9 Chain rule
3.10 Higher Order Partial Derivatives
3.11 Young's Theorem. Schwarz's Theorem
3.12 Higher-Order Differentials
3.13 Taylor Formula
3.14 Extreme Values

A student must obtain an overall grade of at least 10 (out of 20) in one of the assessment modes:
- Periodic assessment: Exam (75%) + two team assignments on numerical methods and graphical representation (25%).
- Exam assessment: in any of the exam seasons (100%).

Students with a grade over 16 shall be subject to an oral examination.

LO1: To identify, describe and explain the role of accounting in business language.
LO2: To understand the rationale and technique for preparing financial reports and the role of information and integration systems in their preparation.
LO3: To identify and describe the objectives of financial statements and how they relate to each other.
LO4: To apply recognition and measurement criteria to the most relevant components of financial statements.
LO5: To understand the importance of preparing and analyzing financial reports for economic decision-making.

Chapter 1: Accounting and financial reporting: business language.
Chapter 2: Information systems, new technologies and Enterprise Resource Planning for financial reporting.
Chapter 3: Financial statements: interrelationships and compilation.
Chapter 4: Financial statements: recognition and measurement of components.
Chapter 5: Users of accounting information: analysis and trends in the digital age.

The following teaching-learning methodologies (LM) are used for the acquisition of the above-defined competencies:
LM1: Expository, for presenting the theoretical frameworks referred to.
LM2: Participatory, with study and analysis of practical cases.
LM3: Participatory, with analysis and discussion of practical case studies and/or support and further reading texts.
LM4: Active, carrying out mini-cases and individual and/or group assignments.
LM5: Self-study, related to students? autonomous work

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1. Periodical assessment:
Intermediate individual test (25%)
Mini-test individual (5%)
Final test (70%)
Requirements: i) minimum grade of 7,5 points in intermediate test and final test; ii) approval requires a minimum of 10 points.
Scale: 0-20 values.
2. Evaluation by exam:
Final exam (100%)
Minimum grade of 10 points in exam for approval. Scale: 0-20 values.

LG1 ? Know and use the main concepts of descriptive statistics, choose appropriate measures and graphical representations to describe data
LG2- Apply basic concepts of probability theory, namely compute conditional probabilities, and check for independence of events
LG3- Work with discrete and continuous random variables.
LG4- Work and understand the uniform, Bernoulli, binomial, Poisson, Gaussian distribution, as well as Chi-Square, t and F distributions
LG5 ? Perform point parameter estimation and distinguish parameters from estimators
LG6 ? Build and interpret confidence intervals for parameter estimates
LG7 ? Understand the fundamentals of hypothesis testing
LG8- Get familiar with some software (such as R and EXCEL)

Syllabus contents (SC):
SC1 ? Descriptive statistics: Types of variables. Frequency tables and graphical representations. Central tendency measures. Measures of spread and shape.
SC2- Concepts of probability theory: definitions, axioms, conditional probability, total probability theorem and Bayes?s formula
SC3- Univariate and bivariate random variables: probability and density functions, distribution function, mean, variance, standard deviation, covariance and correlation.
SC4- Discrete and Continuous distributions: Uniform discrete and continuous, Bernoulli, binomial, binomial negative, Poisson, Gaussian, Exponential Chi-Square, t and F distributions.
SC 5- Sampling: basic concepts. Most used sample distributions
SC6- Point estimation and confidence intervals
SC7- Hypothesis testing: types of errors, significance level and p-value

The teaching-learning methodologies (LM) includes four components
LM1. Expositional, to present the theoretical frameworks;
LM2. Participative, with analysis and resolution of practical exercises;
LM3. Active, with the execution of individual and group works.
LM4. Self-study, related with autonomous work by the student, as is contemplated in the Class Planning

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Students may choose either Periodical Assessment or Final Exam.
Periodical Assessment:
- two pratical activities (2 students per group) with a minimum grade of 10 (30%);
-individual test with a minimum grade of 8.5 (70%); approval requires a minimum average grade value of 10.
Final Exam: a written exam which requires a minimum grade of 10.
The Individual test and final exame will be carried out without consulting hndouts, books or other materials, not being allowed the useof graphic calculators or mobile phones; all necessary calculation formuls will be provide by teachingteam at the momentof the evaluation.

OA1: Distinguish Operating System (OS) types, functions and characteristics
OA2: Describe aspects of process managment and related algorithms
OA3: Describe mechanisms related with inter-process communication and syncronization
OA4: Describe memory management models in multiprogramming systems and compare related algorithms. Explain virtual memory management methods
OA5: Describe the I/O principles
OA6: Explain the most common file system implementation issues
OA7: Identify OS security mechanisms and describe types of security attacks, and protection methods
OA8: Use the command line to work on a remote linux server; program shell script; use processing text and administration related commands
OA9: Program at the system level, using the OS functionalities and considering both sequential and concorrent programming

CP1: Introduction to Operating Systems
Processes
CP2: - Processes and threads
CP3: - Process scheduling
CP4: - Process syncronization. Semaphors
CP5: - Interprocess comunication
Memory Management
CP6: - Memory management models and algorithms
CP7: - Virtual Memory
CP8: Input / Output
CP9: File Systems
CP10: Administration and security issues
Case study: Linux
CP11: - shell commands and shell programming
CP12: - Communication and syncronization mechanisms

The working method includes the following guidelines:
- emphasis on the understanding of the key OS concepts and on relating these concepts with student practice and work
- strong liaison between theory and practice / laboratory work
- practice and laboratory work as the driver to consolidation of student skills and knowledge

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This course uses a periodical evaluation, not allowing a single final exam.

Evaluation components:
* TRAB (12.5% x 3): group work performed in 3 stages
* TPC (12.5%): 9 home questionaries, counting only the best 8
* PE (50%): Written exam performed during the evaluation periods

Requirements: Trab+TPC >= 9.5, PE >= 7 valores

grade of TRAB+TPC limited to grade(PE) + 6

Further information in "Observações"

It is intended that the students after attending this course know:
LG1. Explore the data, analyze the assumptions of the model to be applied, assess the quality of the model, carry out statistical inference and interpret data;
LG2. Recognize the uniqueness of each statistical model and complementary relations with other models included in the UC, in order to get its best interpretation;
LG3. Homogenize cases and variables, standardize scales and create indexes;
LG4. Apply IBM SPSS software.

1. One-way Anova and Kruskal-Wallis test.
2. Analysis of the Principal Components: exploration and adequacy of data; components to retain; model quality; representation, interpretation of retained components and the index construction.
3. Cluster Analysis: selection of variables; identification of outliers; hierarchical method; non-hierarchical K-Means method; Two-step clustering; validation of results.
4. Regression: multiple linear regression with/without interaction effects; probit and binary logit.

Periodic Evaluation:
Grade = Group work (50%) + Final test (50%)
Students should obtain a minimum of 8,5 in each component of the continuous evaluation and a minimum of 10 as final grade to be approved.
Exam:
Final grade = Theoretical exam (60%) + Practical test in lab (40%)
Students should obtain a minimum of 8,5 in each component of the evaluation and a minimum of 10 as final grade to be approved.

To provide students with solid knowledge on core subjects in the area of conventional databases (database systems supported by relational models), namely: relational schema design and queries supported by the SQL language.

PC1 - Relational schema design
PC2 - UML - Class Diagram
PC3 - Relational Model
1. Relations and primary keys
2. Foreign Keys and Integrity Rules
3. Optimizations and Indexes
4. Transactions and Concurrency
PC4 - Mapping from a conceptual model to a relational model
PC5 – SQL
1. Simple Querys
2. Agregate Functions
3. SubQuerys
4. Triggers, Stored Procedures and Functions
PC6 – Introduction to PHP/MySQL

I. ASSESSMENT IN REGULAR SEASON
Given the eminently practical nature of this Course, its assessment is based on the realization of the following components:
- Group project, with a pondering of 40% in two phased deliveries;
- Individual written test, with a pondering of 50% - to be accomplished on the date of the 1st period; and
- Four online mid-term tests, with a weighting of 10% - to be carried out during the semester.
Condition for approval: minimum grade of 8.00 points, without rounding for the project and the test.
If the student fails or does not reach the minimum mark in the written individual test, he may use the 2nd period date to repeat this evaluation component. For the project component and mid-term tests online there is no possibility of further deliveries or repetitions.
In exceptional situations of missing the 1st period date for the written individual test, the student may use the 2nd period date to perform the test. These cases will be subject to previous verification and acceptance with the services.
Students who wish to improve their grade may improve the written individual test, to be held in the 2nd season. None of the other components may be improved.

II. ASSESSMENT IN SPECIAL SEASON
The students who fulfill the conditions to be admitted in the Special Season, will have the following evaluation components:
- Individual or group project, with a weighting of 50% - to be handed in on the official assessment date of Special Season;
- Individual written test, with a weighting of 50% - to be handed in on the official assessment date of the Special Season
The project will have the same structure of the project done in the regular season, however, differs the theme, that will be proposed by the students to the teacher for approval. The project size requirements will be proportional to the number of students in the group. The maximum size of the group, the metrics related to the size and the deadlines will be published in a specific statement made available on the e-learning platform.
Also the students who use the Special Season are required to have a minimum score of 8.00 (without rounding) in each of the assessment components.

At the end of this learning unit?s term, the student must be able:
LG 1: Summarize the relevance of management accounting to manage organizations
LG 2: Identify cost allocation methods
LG 3: Identify the income effects of alternative cost accumulation systems
LG 4: Interpret the basis of accounting information for decision making
LG 5: Exemplify the Cost/Volume/Profit approach and the use data from the variable costing system to inform the decision making process
LG 6: Comment the role of budgeting within the process of planning and the relationship between the long-range plan and the budgeting process
LG 7: Exemplify the procedures for calculating and analyzing of variances.

1. Aims and fundamental concepts of management and cost accounting
2. Allocation of overheads and costing techniques: the cost center method
3. Alternative cost accumulation systems
4. Cost/Volume/Profit approach and the use of information provided by the variable costing system
5. Planning, control and budgeting: Resource allocation to achieve organizational objectives. The budgeting traditional process
6. Comparing planned and actual results. Variance analysis

1) Assessment in the 1st sitting - one of the following:
A - Periodic assessment: 6 mini quizzes online (25%), minim mark 7,5 + Final test (75%), minim mark 7,5. Approval at UC with a minim average of 10, after weighting all the evaluation instruments.
B - Assessment by final exam: written individual test (100%) with minimum grade 10 points.

2) Assessment in the 2nd sitting and in the special sitting: Written individual exam (100%) with minimum grade 10 points.

1. Understand the concept of simple and compound interest rates, know how to discount and compound cash-flows, and know how to determine the cash-flows of financing and investment operations.
2. Understand the working of the different segments of financial markets.
3. Know how to value bonds, how to make trading decisions in the bond market, and how to compute the return of a bond investment.
4. Know how to analyze the efficiency, performance and risk profile of a portfolio of financial assets.
5. Know how to value stocks with the discounted cash-flow method.

1. Financial Calculus
(a) Interest rates, compounding and discounting
(b) Day count conventions
(c) Compounding regimes
(d) Simple and compound interest rates
(e) Installments
2. Financial Markets
(a) Money market
(b) Forex market
(c) Stock market
(d) Bond market
(e) Derivatives market
3. Bonds
(a) Bond features
(b) Term structure of interest rates: spot rates and forward rates
(c) Valuation of fixed coupon bonds
(d) Trading decision in the bond market
(e) Rates of return: yield-to-maturity and effective return rate
(f) Ratings and credit risk
(g) Valuation of float-rate bonds
4. Asset pricing models
(a) Return and risk
(b) Markowitz model
(c) Tobin model
(d) Capital Asset Pricing Model (CAPM)
(e) Performance analysis and evaluation: Jensen?s alfa, Sharpe index and Treynor index
5. Stock valuation
(a) Gordon model
(b) Present value of growth opportunities and dividend payment policy

1st chance: periodic evaluation consisting of a written mid-term exam (50%) and a written final exam (50%), with passing conditioned to a minimum grade of 7,5 in each exam; or only final exam (100%).
2nd chance: written final exam (100%).

For everything else, the general regulations for the Licenciatura em Informática e Gestão de Empresas apply.

At the end of the term the student should be able to:
OA1. Use an object oriented programming language to design, implement, test and debug small applications.
OA2. Understand and apply the concepts of encapsulation, abstraction, inheritance and polymorphism.
OA3. Know how to use the fundamental data structures of a standard library (stacks, queues, trees, hashtables).
OA4. Apply error-control mechanisms.
OA5. Explain the utility of design patterns and demonstrate their usage in simple cases.

CP1. Packages and encapsulation
CP2. Reading and writing files
CP3. Exceptions and error handling
CP4. Polymorphism and interfaces
CP5. Anonymous classes and lambdas
CP6. Inheritance
CP7. Collections and generic classes
CP8. Introduction to design patterns

The assessment can be carried out in one of the following ways:

Mode A:
- Exercises carried out in class (20%, groups of 2 or individual)
- Written test in the middle of the semester (30%, individual, minimum grade of 7 val.)
- Project (50%, groups of 2 or individual)

Mode B:
- Written test in the middle of the semester or in the special season (50%, individual, minimum grade of 7 val.)
- Project (50%, groups of 2 or individual)

Regardless of the modality followed, the grade for the "Project" component is limited by the performance demonstrated individually in an oral discussion, in accordance with the following rule:
- Very good performance - no limit;
- Good performance - limit of 16 val.
- Sufficient performance - 12 val limit.
- Poor performance in the discussion - fail in the course.

Given the practical nature of the UC, there is no need for assessment by exam.

Assessment in a special period follows modality B.

Grade improvement can only be done by repeating the evaluation in the following year.

O1. Identify the ISDD requirements, main phases and activities;
O2. Transform the requirements in technical specifications and IS models;
O3. Use IS modelling tools;
O4. Use Low-Code implementation technologies and introduction to services for the implementation of SI, Application Programming Interfaces with REST protocols;
O5. Build teamwork experience in the context of carrying out the ISDD project, developing the skills of discussion, tolerance, acceptance and respect for the opinions of the colleagues (soft skills);
O6. Co-build solutions based on critical thinking, creative problem solving, collaboration, critical observation, negotiation and collaborative decision making;
O7. Apply strategies for proposing reflected solutions, autonomous work based on the search for solutions and sustained construction of argumentation;
O8. Develop the skills of oral and written communication and technical discussion of the work.

P1. Introduction to the Information System (IS) Design and Development;
P2. Lifecycle of Development of IS;
P3. Requirements analysis for the design and development of IS;
P4. Specification and design of IS, UML diagrams;
P5. Process modelling in the context of IS;
P6. Low-Code implementation technologies;
P7. Integration technologies in the context of IS: Service-Oriented Architectures, API and REST;
P8. Service-Oriented Computing in the context of IS.

The assessment in the course unit is exclusively done by continuous evaluation through a project: the individual grade results from the evaluation of the interim reports, final report, assessment of the student's performance throughout the semester (involvement in weekly discussions, in his/her capacity for exposition and technical discussion, oral discussion) and a brief individual questionnaire, in the following way:
- Individual questionnaire: 20%
- Phase 1 of the project (delivery, weekly discussions, oral): 30%
- Phases 2 and 3 of the project (delivery, weekly discussions, oral): 50%
Attendance at 80% of weekly meetings is mandatory. There is no assessment by exam and the special period is a complement to continuous assessment, if necessary.

After finishing this unit a student should be able to:
LG1. Know and understand basic concepts and technologies for web development.
LG2. Know client-side concepts and apply the adequate technologies for client-side web development.
LG3. Know server-side concepts and apply the adequate technologies for server-side web development.
LG4. Know how to integrate client-side and server-side development into a coherent model for performing typical tasks within a web application.
LG5. Know and understand the main concepts for mobile software development.
LG6. Apply the adequate technologies for mobile software development.
LG7. Know and understand the main concepts for IoT network development.
LG8. Apply the adequate technologies for IoT network development.

CP1 [Introduction]
The history of the Web;
Previous and actual programming languages for the web;
W3C standards;
Client-server architecture;
MVC architecture for the Web.
CP2 [Client-Side Programming]
Main formatting and programming languages for the Web;
Libraries for programming Web applications;
Introduction to security on the client side.
CP3 [Server-Side Programming]
Client/Server architectures;
Database access from Web;
Data model on the website and corresponding database interaction;
Session management;
Introduction to security on the server side.
CP4 [Mobile Programming]
Native cross-platform languages;
Hybrid tools.
CP5 [Internet of Things (IoT)]
Sensors;
Design solutions for IoT networks;
Connected supply chain protocols;
Management of Big Data from IoT;
Programming resources for IoT;
Introduction to security in IoT.

Given the practical nature of the contents, the assessment will encompass a project. Its subject should be aligned with all or part of the syllabus.
Exercises in class (10%).
Project (90%, including teamwork (report and software) ? 40%, and oral exam ? 50%).
All components of the project - proposal, report, software and oral exam, are mandatory. The minimal classification for each component is 10 on a scale of 0 to 20.
There will be a unique deadline for submitting the project, except for students accepted to the special period of assessment, that will be allowed to submit during that period.
Presence in class is not mandatory.
There is no final exam.
Students aiming to improve their classification can submit a new project in the following scholar year.

1. Analysis of investment projects, identifying provisional cash-flows and using the recovery time, present value, internal rate of return and return index methods
2. Robustness analysis of a project, identifying the critical factors and using complementary analysis.
3. Identify the main sources of funding that can be used in a project.
4. Establish the link between the value of an investment project and its capital structure.
5. Know the main corporate valuation methods: discounted free cash-flow, multiples and economic value added.
6. Understand the significance of short term financial decisions and its impacts on the company?s treasury, and the financial instruments available for treasury management.

I - Valuation of Real Investments
1. Estimation of investment cash-flows
2. Criteria for investment valuation
3. Selection among investment projects with diferent maturities
4. Robustness analysis, scenario analysis and break-even analysis
5. Analysis using decision trees
II ? Long Run Funding Sources
1. Capital
2. Debt
III ? Capital Structure
1. Irrelevance of the capital structure
2. Capital structure with earnings taxation
3. Limits to debt funding
4. Valuation of real investments funded with debt
IV ? Corporate valuation
1. Discounted cash-flow
2. Economic value added
3. Market multiples
V ? Short Run Financial Management
1. Cash and credit management
2. Short run financial investments
3. Short run sources of funding

Periodic evaluation consisting of 2 written exams (50% each) or final exam (100%)

OA1: identify and distinguish various layered reference models
OA2: identify and describe the main functionalities of each layer of the OSI and TCP/IP reference models
OA3: be able to solve problems and study cases for each of the first three layers of the OSI reference model
OA4: be able to conduct experiments, record and analyze their results and assess the behavior and performance of different technologies
OA5: be able to assess the performance of different technologies using analytic and simulation tools.

CP1. Introduction to computer networks
a. Classification of networks and their technologies
b. Services, protocols and reference models (OSI and TCP/IP)
CP2. Physical layer
a. Physical medium characteristics and impairments
b. Multiplexing and switching
CP3. Data link layer
a. Data link layer core functionalities
b. Error and flow control protocols and their performance
c. The IEEE 802 protocols
d. Interconnection of local area networks (VLANs and STPs)
CP4. Network level
a. Routing and forwarding. Architecture of a router.
b. The IPv4 protocol (packets, routing, fragmentation)
c. Addressing in IPv4 and IPv6 protocols. NAT.
d. Routing algorithms
e. Network interconnection. RIP, OSPF, and BGP routing protocols.
f. Key Internet protocols: ICMP, ARP and DHCP.

There are two modes:
1. Periodic evaluation:
- One written test carried out during the exam season with a minimum mark of 8.0 (in 20) - (45%)
- Eight lab experiments in group - (20%)
- One practical work in a group - (25%)
- Eighth mini-tests online - (10%)
2. Exam evaluation:
The exam has a written part (50%) with a minimum mark of 8 (in 20) and a practical part (50%). The written and practical parts should be done in the same exam season.

The student should:
LG1. Know and apply the main aspects of economic analysis to business decision;
LG2. Know how to map the economic environment (sectorial, national and international) in the performance of the companies;
LG3. Know the main forms of public intervention in the macroeconomic field (economic policy);
LG4. Know a wide range of economic indicators.

Part A: The economic dynamics of the company - internal decision dimensions and the sector environment
Part B: The macroeconomic context - key indicators and economic policy
Part C: The international context - The company in a globalized world

Assessment is carried out through periodic assessment or final assessment.

1. Periodic assessment

Includes the following elements:
- Group assignment: 50%
- Final exam: 50%. Exam with partial consultation. Minimum mark: 7.5

2. Final assessment
The exam (with partial consultation) will correspond to 100% of the course grade.

Approval is obtained with a mark greater than or equal to 9.5.

OA1 - Understand the operation of networks in an integrated manner, identifying and implementing different solutions to support applications and services.
OA2 - Know, distinguish and evaluate different protocols and services available for end-to-end communication and communication between applications over the network.
OA3 - Understand the architecture of the transport network, software defined networks and mobility. Be able to distinguish and evaluate different architectures.
OA4 - Know the different approaches and solutions for multimedia networks and multicast. Be able to distinguish and evaluate different existing techniques for them.
OA5 - Configure different network architectures, identifying and implementing different solutions in an integrated manner. Detect and correct errors in their configuration.

CP1 - Network interconnection. Interconnection and routing in IP networks. NAT. Routing Protocols: OSPF and BGP. Router architecture. IPv6 networks. Mobility: architectures.
CP2 - End-to-end communication. Addressing and multiplexing. UDP and TCP protocols. TCP connection management. Flow control and congestion control.
CP3 - Transport networks. Software defined and configured networks: SDN architecture, OpenFlow, NFV. Mobility: architectures and routing.
CP4 - Network services and applications. Communication models. Protocols definition in ABNF and ASN1. Name services: DNS, etc.; Electronic mail; WWW Architecture. Server infrastructures. Content distribution networks, GSLB.
CP5 - Multimedia Networks. Architectures and addressing. IGMP and multicast. Protocols DVMRP, PIM, MOSPF. Multimedia applications. Architectures for streaming. VoIP. Protocols RTSP, RTP, RTCP, SIP. Scaling and policing. Integrated services. RSVP. Differentiated services.

Summary of the evaluation process.
Periodic Evaluation and 1st Period:
30% - 1st written test (CP1 and CP2), and a 35% - 2nd written test (CP3, CP4, and CP5), with a minimum score of 8 out of 20 in the weighted rounded average of the written tests.
35% - 5 laboratories (with a weight of 9%, 9%, 7%, 5%, 5%, by decreasing order of marks per laboratory) with a minimum score of 8 out of 20 in the weighted rounded average of the laboratories.
or
100% - written test (CP1 to CP5)

Season 2 Evaluation
65% - written test (CP1 to CP5), with a minimum score of 8 out of 20.
35% - 5 laboratories attended during the semester (with a weight of 9%, 9%, 7%, 5%, 5%, by decreasing order of marks per laboratory), with a minimum score of 8 out of 20 in the weighted rounded average of the laboratories.
or
100% - written test (CP1 to CP5)

Special Season Evaluation
100% - written test (CP1 to CP5)

Students who successfully complete this course will be able to:
LG1 - Describe and contrast theories and practices of human resources management
LG2 - Using methods and techniques to diagnose and intervene in the main problems related with teams management

1. Human resource management, its evolution and importance.
2. Human Resource Management Models and Processes: Integrated management, strategic management, HR planning, recruitment and selection, performance management and people development.
3. Management and development of teams and project teams.
4. Factors of effectiveness, leadership, trust, communication, decision making and team negotiation
5. Exercises and / or case studies.

1) Periodic assessment: a) 1 group assignments (40%) b) individual final test (60%). The approval implies a minimum score of 8 values in each of the tests; minimum final classification 10 points (in 0 - 20 values).
2) Final assessment (1st season or 2nd season): written test or other assessment test (100%), with a minimum grade of 10 points (in 0-20 values).

LG1 - To identify the specificities of the several Marketing applications domains, namely for products and services including a technology component.
LG2 - To know the market players and flows, as well as the buying process decision and technology adoption by the B2C and B2B.
LG3 - To understand the marketing intelligence system and hnow how to apply simple and entuitive methods for gathering information to support decision, such as secondary data analysis, surveys and interviews.
LG4 - To define the value proposition, on a product/service brand development, adapting to the competition and market trends.
LG5 - To design the Marketing Plan
LG 6 - To establish the marketing-mix politics under a blended approach.
LG7 - To identify methods of control ((as those accessed by google analytics, social media analytics, market research, etc).

S1. Marketing management specificities for the Tech and information technology (IT) products. Marketing domains. The Marketing Plan structure. Key concepts: value proposition, competitive advantage and positioning.
S2. The Technology adoption life cycle and its role on the B2C and B2B decision buying process. The customer journey
S3. The market: characterization, players, life cycle, competition and distribution analysis. E-marketplaces and E-commerce
S4. Marketing Intelligence.simple market research methods and sales goals
S5. Competitiveness analysis. Tools as dynamic SWOT analysis or the TOWS matrix, market key success factors and firm competitive advantage.
S6- Goals and Marketing strategic options: Segmentation, targeting, positioning and value proposition
S7. The Marketing-mix politics (the 7 P)
S8. Metrics and analytics tools (SEO, social media analytics, etc)

Option between periodical evaluation or Exam (1st or 2nd call). Approval if grade > = 9.5 v.
The periodical evaluation system considers a final grade by: Individual (70%) - final test (on the 1st call) (40% with Minimum grade of 8,5 values.) + Teamwork discussion, oral presentation and participation (30% with minimum grade of 9,5v) and Team (30% with minimum of 9.5v in each component):Project Team and case study.

After having completed this course unit, the student should be able to:

OA1. Know how to program using the paradigm of event programming.
OA2. Graphical user interfaces programming. GUIs in Java - Swing.
OA3. Understand the problems involved in accessing shared resources.
OA4. Understand how to coordinate threads and understand the main problems associated with coordination like deadlocks, livelocks and starvation.
OA5. Know the main programming patterns for the coordination of threads.
OA6. Understand the classic architectures and some algorithms from the distributed programming paradigm.

CP1. Introduction.
CP2. Java Swing
CP3. Introduction to threads. Life cycle of the threads.
CP4. Synchronization, locks.
CP5. Process coordination.
CP6. Deadlocks, starvation and livelocks.
CP7. Classical problems of concurrency.
CP8. High-level concurrency objects
CP9. Network programming
CP10. Distributed Programming Architectures

The course is organized in two types of classes: theoretical and practical. In theoretical classes, theory is interleaved with examples and exercises. In practical classes students should solve a set of problems. In addition to the work performed during classes, students are expected to have ~6 hours of weekly autonomous work to complete exercises and implement the final project.

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Registration for the written tests is mandatory.
The evaluation is based on a project and a final exam.
The project has two evaluation fases, mid-term delivery and a final oral examination.
The possible grades in the Individual Project are (A, B, C, D). The project grade has no weight in the final grade, but it defines an upper bound for it:
A-max. 20
B-max. 16
C-max. 12
D-failing the course

Final grade is only given by the exam's classification.

OA1: To master basic concepts on HCI using a given text/paper, being able to interpret it, organize the ideas and present them oraly;
OA2: to be able to define and create a prototype, its interface, defining functionality, usability, target audience, tests and evaluation
OA3: to be able to create a prototype with concrete and palpable existence (by CNC or 3D printing if it is a 3D prototype created from scratch, or a Web page if the prototype is developed for the Web)

CP1: Human factors, psychology, interactive systems design; The machine, interfaces for text, position, selection; output; processing
CP2: Interaction techniques, interaction paradigms, screen layout and design, design e layout de ecrãs, color perception and implications
CP3: Task analysis
CP4: Dialog styles; semantics; dialog analysis and design
CP5: Low-fidelity prototyping (lo-fi) versus hi-fi
CP6: Usability
CP7: User models
CP8: Evaluation techniques, heuristics
CP9: Multimedia and web design; Digital image and video for the web and multimedia, and the H-C interaction design
CP10: CAD and 3D modeling with Solid Edge; CNC and 3D printing

Assessment by Exam (100%) or Periodic Assessment consisting of: Written Test 1 (35%); Written Test 2 (35%); Written Test 3 or miniProject (30%); Written Test 3 held simultaneously with Exam 1 in the evaluation period; Written tests are individual and miniProject is in group; the miniProject is subject to oral discussion, if the professors deem it necessary; Written Tests have a minimum grade of 8 valores; minProject has no minimum grade; the 30% of the written Test 3 or miniProject grade is applied to the maximum of the two.

1.Realize and present to an audience a diagnosis study on a management control model (written and oral format);

2.Know how to select the management control tools most adequate to the needs of managers;

3.Interpret financial and non-financial information and structure it from a managerial standpoint;

4.Propose the implementation of management control tools through a corporate performance perspective.

I Management Control System: Key Ideas
1.Framework
2.Performance approach
3.Principles
4.Marketing approach
5.Management control system evolution
II Financial Information Requirements
1.Financial information objectives relevant to management
2.Costs and margins segmentation methodology
3.EVA and value management by residual income
4.Costs and decision making: ABC
III Behaviour inducing tools
1.Organizational structure based on responsibility centers
2.Performance evaluation criteria of responsibility centers
3.Transfer prices methods
IV Planning and Activity Monitoring
1.Planning cycle role on defining objectives
2.Budget control on monitoring financial targets achievement
3.Performance measurement systems: Tableau de bord and Balanced Scorecard.

1) Periodical evaluation: Instruments: case solving/Work, in group/individual (40%) and an individual written final test (60%). Requires a minimum grade of 7,5 points in each element (or group of elements), attendance to classes of at least 2/3, and a minimum of 10 points in the final classification
2) Exam (1st sitting): written test (100%), requiring minimum 10 points to get approval
3) Exam (2nd sitting): written test (100%), requiring minimum 10 points to get approval. Scale: 0-20 points

After having completed this course unit, the student should be able to:
OA1. Apply an engineering process to the production of software;
OA2. Produce software in large groups (>6 developers);
OA3. Apply principles of software engineering such as software requirements analysis, software analysis and design, implementation, testing, code inspection, configuration management, build, delivery and deployment;
OA4. Software product quality assessment and improvement.

CP1 - Software engineering processes
CP2 - Configuration management and build automation
CP3 - Software requirements
CP4 - Software testing
CP5 - Software design
CP6 - Product quality metrics and product improvement
CP7 - Software evolution, delivery and deployment

Periodic Assessment: Practical group project with a weight of 50% (individualized and minimum grade of 9.5 out of 20) and frequency (1º epoch) with a weight of 50% (minimum grade of 9.5 out of 20).

Final exam (100%): 1º epoch, 2ª epoch and special epoch.

After completing the course, students should
(LO1) be aware of the advantages and challenges of using and developing AI based systems and models, in particular search algorithms, knowledge representation and reasoning, approaches for adaptive systems, and machine learning;
(LO2) be capable of identifying the requirements of the systems and models to create;
(LO3) be capable of choosing and the approaches more suited to the LO2 requirements
(LO4) mastering and usage of the approaches presented in the course for system development and world modelling

After completing the course, students should
(LO1) be aware of the advantages and challenges of using and developing AI based systems and models, in particular search algorithms, knowledge representation and reasoning, approaches for adaptive systems, and machine learning;
(LO2) be capable of identifying the requirements of the systems and models to create;
(LO3) be capable of choosing and the approaches more suited to the LO2 requirements
(LO4) mastering and usage of the approaches presented in the course for system development and world modelling

Continuous Evaluation:
- 2 Tests (30% + 40%), minimum grade of 8.5 in each test
- 1 Project (20%)
- 8 classroom exercises (the best 6 will be considered). (10%)

Final evaluation:
- 2 Exams + Special Season, each weighing 100%

The tests and the Exams may have groups of questions with a minimum grade

To access the tests and exam, it is necessary to complete all activities related to the covered topics up to this moment on Moodle.

Students may be required to explicitly enroll in any of the evaluation components

1. Efficient and secure storage of large volumes of data;
2. Access, transport and integrate dispersed information for various applications;
3. Automatic monitoring of data access (auditing);
4. Develop soft skills: Problem Solving, Teamwork and Critical Observation.

1 Migrations (coherent, incremental) using scripts and remote access through web services (REST / php);
2. Redundancy and distribution of data to manage fault tolerance on large data volumes;
3. Using MongoDB / JSON to store and extract large volumes of data;
4. PLSQL programming to automate security control; 5. Brief Introduction to Android Application Development;
6. MTTQ protocol as a way of communicating with sensors.

The Course is exclusively evaluated through a project. The individual grade results from the interim reports evaluation, the final report the evaluation of the student's performance during the semester (their involvement in weekly discussions), and a brief questionnaire. Class attendance is compulsory for 80% meeting. There is no evaluation by exam There is no evaluation per examination, and the "special" evaluation may complete the continuous evaluation.

At the end of the learning unit, the student must be able to:
1. Understand the major information security challenges that organizations and users have to face;
2. Identity and manage information security risk;
3. Know and apply adequate security technologies to mitigate risk;
4. Manage and maintain information security environments.

I. Introduction to Information Security
II. Information Security Legal, Ethical and Professional Aspects
III. Information Security Planning
IV. Risk Management
V. Information Security Technology
VI. Cryptography
VII. Physical Security
VIII. Information Security Implementation
IX. Personnel Security
X. Information Security Maintenance

Periodic Assessment:
- Different group projects (50%) throughout the semester
- Two individual tests (50%) [minimum score of 6 points for each test], one of the tests taking place in the middle of the semester and the second one on the 1st season period date.
Students should attend a minimum of 50% of classes to be able to do the periodic assessment.
Assessment by examination:
For students who opt for this process or for those who fail the periodic assessment process, with 3 periods under the RGACC.

At the end of the learning unit, the student must be able to:
LG.1. Understand entrepreneurship
LG.2. Create new innovative ideas, using ideation techniques and design thinking
LG.3. Create value propositions, business models, and business plans
LG.4. Promote the company, the products and services
LG.5. Develop and test technology-based products and services.
LG.6. Analyse business scalability
LG.7. Prepare internationalization and commercialization plans
LG.8. Search and analyse funding sources

I. Introduction to Entrepreneurship
II. Generation and discussion of business ideas
III. Value Proposition Design
IV. Business Ideas Communication
V. Business Models Creation
VI. Business Plans Generation
VII. Minimum viable product test and evaluation
VIII. Scalability analysis
IX. Internationalization and commercialization
X. Funding sources

Periodic grading system:
- Group project: first presentation: 30%; second presentation: 30%; final report: 40%.
Attending a minimum number of classes is not a mandatory requirement for any of the evaluation methods.

LG1: To understand the basic concepts of Operations Management and Supply Chain Management
LG2: To design products and services that satisfy customers' needs and their underlying processes
LG3: To define the Supply Chain structure
LG4: To plan and control the resources needed in the operations and in the supply chain

S1: Introduction to operations and supply chain management
S2: Operations performance and strategy
S3: Innovation
S4: Supply chain
S5: Process design
S6: Organization of space and flows
S7: Planning and control
S8: Materials management
S9: JIT and Lean Management
S10: Information Systems in operations and supply chain

OPTION 1:
Assessment throughout the term (periodic):
1. Group project (presentation including the delivery of related slides with full text, times, and actors) - 50%:
2. End-of-term test, individual - 50%
The passing grade is 10 points, with at least 8 points (out of 20) in both tests and group project.
OPTION 2:
End-of-term exam - 100%.
A passing grade means 10 points or above (over 20).

At the end of this learning unit, the student must be able to:
1. Identify and describe the fundamentals of project management;
a. Know the key standards and best practices of the market;
b. Identify the main features of ICT projects;
c. Identify contexts, key components, process groups, critical areas of project management and project management life cycles;
2. Define and plan an ICT project and identify its key management factors. Consolidate project management concepts by solving a "real" project;
3. Understand the most significant project management processes, tools and techniques, with particular emphasis on its planning and control;
4. Enterprise Project Management: Identify, select, organize and manage projects in business context.

I. Introduction and fundamentals of project management
(i) The context of project management (PMI)
(ii) Project management of ICT projects
II. Project Management overview
III. Project Management processes
(i) Project initiation and planning
(ii) Project execution, monitoring and controlling
(iii) Project closing
IV. Enterprise Project Management

Review for final exam:
* 100% - Written test: Theoretical + Exercise.
- Final approval: note >= 10

Periodic Assessment grading system (optional):
- Components:
* 50% - Project;
* 50% - Individual written test (without consultation).
- Minimum score for both components: 40%.
Oral discussion of the projects may be scheduled by decision of the professor. The non-attendance of this discussion will imply a grade of zero in the project component.

To succeed in this course the student should be able to:
OA1. Know the characteristics of the different types and the evolution of Decision Support Systems;
OA2. Design a dimensional model for a particular business area;
OA3. Know and apply the fundamental principles of agile dimensional modeling
OA4. Compare and evaluate different dimensional models;
OA5. Know the different development phases of a DW/BI project, according to R. Kimball?s methodology;
OA6. Know and apply the fundamental concepts of requirements gathering for a DW/BI project;
OA7. Implement a BI application;
OA8. Identify the key success factors of the different development phases of a DW/BI project/programme;
OA9. Communicate and explain the design decisions taken

CP1. Introduction to the different Decision Support Systems (DSS)
CP2. Data Warehouse and Business Intelligence (DW/BI): fundamental concepts
CP3. Dimensional modeling: Fundamental concepts
CP4. Agile dimensional modeling concepts
CP5. Dimensional modeling: Advanced concepts
CP6. Requirements gathering for the design of dimensional models
CP7. ETL (extraction, transformation and loading) process
CP8. Design of BI applications

The student has two assessment methods: periodic assessment and assessment by examination (for 100% of the grade). Given the practical nature of this UC, the periodic assessment method is recommended, which includes the development of a practical work.
Periodic assessment:
- Practical work (in group): 55% (binding partial delivery to continue in periodic eval. ? mid-semester, with qualitative assessment).
- Peer assessment (in group): 10%.
- Individual face-to-face test (in January) - 35%.
Minimum score of 10 in all components. Groups of 4 elements. Exception for 5 elements implies a higher component of implementation in PowerBI.
Alternative: Final exam evaluation for 100% of the grade.

The working groups have 4 elements. Exceptionally groups of 5 elements are accepted, implying a greater component of implementation in PowerBI. Due to the high number of students enrolled, there is no possibility of individual practical work.

The practical work has a binding partial delivery to continue in periodic evaluation, in the middle of the semester (typically in class 14). Each group will receive feedback and a qualitative assessment: A, B, C, D and F (exam).
The deadline for handing in the group work is the last week of classes.

After the delivery of the assignments, each group will receive a group work to perform the peer assessment. The pairing of the groups in peer assessment is made by the UC coordination. Each group must submit (in the e-learning platform) the evaluation report of the group work assigned to them until the day specified in the Year Council (typically 3 days after the deadline for submission of group work). A template will be provided for this report (with a maximum of 3 pages).

The oral presentations to discuss the work will be held via Zoom, on a date to be agreed upon with each group. The oral presentation grades (i.e., the grade of the practical work component) are individual.
All oral presentations must be completed before the test date (frequency), which takes place in January in the 1st assessment period.

The students who: (a) do not deliver the 1st part of the work in the middle of the semester; (b) do not fulfil the minimum mark of the group work; (c) do not fulfil the minimum mark of the evaluation by peers, will be assessed by exam in the 1st season (counting 100% of the mark).
The 2nd season exam always constitutes 100% of the grade and can be taken: (a) by those who, in the 1st season, did not obtain a positive mark or were not evaluated; and (b) to improve their grade (registration at the secretariat is required).

LG1. Understand the fundamentals about enterprise architecture relevance

LG2. Get the capability to criticize how an enterprise architecture should be modeled

LG3. Understand the relevance of business processes for an organization and how they frame the organizational context.

LG4. Learn the relevance of IS for organizations and how they can help in operations.

LG5. Learn how to design a business architecture and be capable to design it when necessary.

LG6. Learn how to design an information architecture and being capable to design it when necessary.

LG7. Learn how to design an application architecture and be capable to design it when necessary.

This UC has the following program contents (CPs):

CP1 [Frame and Motivation]
Global vision of enterprise architecture and benefits

CP2 [Archimate Language]
Introduce the main language to design IS architectures

CP3 [Business Processes]
Raise awareness about business processes role and their advantages

CP4 [Business Processes Modeling]
Introduce the main notation to model business processes

CP5 [Business Architecture]
Explain how to design a business architecture and its main components

CP6 [Information Architecture]
Explain how to design an information architecture and its main components

CP7 [Applicational Architecture]
Explain how to design an applicational architecture and its main components

This curricular unit is mainly practical and therefore does not have an exam.


Periodic evaluation

Individual assignment (IA) - 20% of the grade
Group assignment
Part1 (P1) - 30% of the grade
Part2 (P2) - 30% of the grade
Presentation (P) - 20% of the grade (First season) (individual assignment)


Formula:

Final grade = (IA * 0,2 + P1*0,3 + P2*0,3 + P*0,2)

Those not approved can:

Second season: Deliver a full project - 100% of the grade (indiviual assignment without oral discussion)
Special season: Deliver a full project - 100% of the grade (indiviual assignment without oral discussion)

At the end, the students should be able to:
O1: Discuss the main steps from a knowledge discovery process
O2: Discuss selected data mining tasks
O3: Distinguish between data mining algorithms
O4: Analyse and design an ordinary knowledge discovery project

P1. Introduction: Basic concepts and tasks in data analytics
P2. Pre-processing and exploration of the data
P3. Classification techniques and model evaluation
P4. Prediction techniques and model evaluation
P5. Clustering techniques
P6. Association rules
P7. Special cases (web mining, text mining, etc.)

The student must pass this course only through periodic assessment modality, not contemplating the assessment by exam modality.

Assessment instruments:
- 2 written tests (20% x 2), a mid-term test and a final test, in the 1st season;
- Final Project with two deliveries (30% x 2).

Approval requirement: the final average of the tests has a minimum score of 8 points.

The Final Project must be done in group and the final delivery includes its presentation and report.

In case of failure, the written tests component score can be replaced by a written test, performed during the period of the 2nd season, or special season (RGACC, Artº 14).

At the end of this UC, the student should be able to:
LG.1. Present the image of the product/service in a website
OA.2. Present the image of the product/service in social networks
OA.3. Describe functionalities of the product/service
OA.4. Describe phases of the development plan
OA.5. Develop a prototype
OA.6. Test the prototype in laboratory
OA.7. Correct the product/service according to tests
OA.8. Optimize the product/service considering economic, social, and environmental aspects
OA.9. Adjust the business plan after development and tests, including commercialization and image
OA.10. Define product/service management and maintenance plan
OA.11. Develop certification plan
OA.12. Prepare the request for intellectual property/patent registration
OA.13. Arrange the creation of a startup, including supporting documentation and registry

I. Development of the product/service image
II. Functionalities of the product/service
III. Development plan
IV. Development of the product/service (web/mobile or other)
V. Revision of the business plan
VI. Management and maintenance of the product/service
VII. Certification plan
VIII. Intellectual property, patents, and support documentation
IX. Main aspects for the creation of a startup - juridical, account, registry, contracts, social capital, obligations, taxes

Periodic grading system:
- Group project: first presentation: 30%; second presentation: 30%; final report: 40%.
Attending a minimum number of classes is not a mandatory requirement for any of the evaluation methods.

1. Understand strategic situation analysis including environmental and industrial analysis, stakeholders and their influences on organizations and internal analysis
2. Use rational approaches associated with the identification and selection of strategic alternatives to include core competencies and resource-based strategy, scale and non-scale strategies.
3. Assess the issues and practices of implementing chosen strategies
4. To incorporate principles of responsible management into strategic decision-making.
5. To develop a critical thinking.
6. To have autonomy to plan their own learning processes in order to deep their knowledge in this area of study.

1. Basic Concepts (from positioning to movement)
2. Strategy Formulation - vision, mission and values
3. Ethics, CSR and Sustainability
4, The Resource Based View and Dynamic Capabilities
5. External (macro analysis)
6. Industry and Competitor Analysis
7. Strategic choice (competitive strategies)
7.1. The generic strategies
7.2. Blue Ocean Strategies
8. Strategic choice (corporate strategies)
8.1. Vertical integration
8.2. Diversification
8.3. Strategic alliances
8.4 internationalization
9. Implementation
10. Strategic Control
11. Balanced Scorecard
12. Corporate Governance

Option 1(Periodic assessment)
-50%:End of term Test (AW=30+3 hrs)
-35%: Group assignments (presentation + report) (AW = 30hrs)
-15%: Group assignments (in class presentation) (AW = 24hrs)
Approval: Weighted average of 10 or more (0-20 scale); the end of term test and the weighted average of the remaining periodic assessment components cannot be less than 8.

Option 2 (End of term exam)
Approval: 10 points (scale of 0-20)