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. Assessment throughout the semester, consisting of:
- Test 1 (50%): written test carried out during the semester; minimum grade of 8 values.

- Test 2 (50%): written test carried out in the 1st assessment period; minimum grade of 8 values.

2. Assessment by exam: 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 the module, it is intended that students should be able to:

LO1: Develop abstraction skills;

LO2: Calculate derivatives and integrals of functions from R to R, and interpret the results;

LO3: Calculate limits, study the continuity and differentiability of multivariable functions;

LO4: Apply numerical methods to compute approximate values of derivatives and integrals;

LO5: 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 3D 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 following assessment modes:

- Assessment during the semester: a mid-term test (37.5%) + final test (37.5%) + two group works, one about numerical calculus and the other about graphical representation (25%, 12.5% each).

- Exam assessment: in any of the exam seasons (100%).

The exam consists of two parts: analytical (75%) and numerical (25%). Students who have successfully completed the teamwork may skip this numerical component.

The minimum grade is 8. Students with a grade over 16 should be submitted to an oral examination.

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

Assessment throughout the semester: 10 individual programming exercises (25%), without a minimum grade and delivered weekly and two written tests (75%), the first in the middle of the semester and the second coinciding with the 1st season exam. Each of the written tests has a minimum grade of 7.5 points. Attendance in classes is not mandatory.
or
Individual final exam (100%) – 1st season, 2nd season and Special Season

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 for 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.

OA4. Write and understand Java code.

CP1. Independent functions
CP2. Variables and control structures
CP3. Dependent functions
CP4. Arrays
CP5. Compound values
CP6. Procedures and references
CP7. Matrices
CP8. Object classes
CP9. Files and I/O

Assessment is carried out throughout the semester. The evaluation components and their respective weights in the final grade are as follows:

a) Intermediate mid-term test (25%); minimum grade: 20%.

b) Individual Project (15%); minimum grade: 30%.

c) Final Test to be carried out during the exam period (60%); minimum grade: 40%.

Notes:
1. There will be two possibilities for taking the Final Test, in the first and second exam period.

2. There is no possibility of passing the course just by exam for 100% of the grade.

3. Evaluation through the special exam period involves delivering and discussing an Individual Project (25%) and taking a written test (75%).

4. It is not possible to use evaluation component grades obtained in previous course editions.

At the end of this course, students should be able: (a) To identify, describe and explain the role of accounting in business language; (b) To understand the rationale and technique for preparing financial reports and the role of information and integration systems in their preparation; (c) To identify and describe the objectives of financial statements and how they relate to each other; (d) To apply recognition and measurement criteria to the most relevant components of financial statements; (e) 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.

1. Assessment throughout the semester:
Intermediate individual test (30%)
Mini-test individual (5%)
Final test (65%)
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.

Upon successful completion of this course unit, the student should be able to:

+ LO1 - Understand how a modern computer works, recognizing its main components and respective functionalities;
+ LO2 - Understand the operation of arithmetic and logical digital circuits, and design circuits of this type based on the specification of a problem;
+ LO3 - Explain the operation of synchronous sequential circuits and design circuits of this type to control other elements in a digital system;
+ LO4 - Analyze the operation of register files and memories and their use in the context of a digital computer;
+ LO5 - Understand how the various components are combined to execute individual instructions and complete programs.

+ PC1. Computer architecture
+ Basic architecture: control, datapath, memory and I/O
+ Machine code, assembly language, and high-level languages
+ Representation of information
+ Numerical bases and binary numbering

+ PC2. Combinatorial Logic
+ Operations on bits
+ Boolean algebra
+ Truth tables
+ Logic Gates

+ PC3. Combinatorial Circuits
+ Normalized forms and Karnaugh maps
+ Design combinatorial circuits
+ Decoders and multiplexers
+ Logic and arithmetic circuits

+ PC4. Sequential Circuits
+ Latches and Flip-flops
+ Models of sequential circuits
+ Sequential circuit design

+ PC5. Registers and Memories
+ Registers and register files
+ Register transfer
+ Types of memories
+ Memory banks

+ PC6. Processor Architecture
+ Von-Neumann architecture
+ Instruction Set Architecture (ISA)
+ Datapath and control units
+ Modern CPUs

The curricular unit can be carried out through 2 types of assessment:

1. Assessment throughout the semester

Assessment throughout the semester consists of:

+ (70%) 2 tests: 1 test carried out in the middle of the semester, on a date to be defined, and a 2nd test carried out on the first date of the exam period;
+ (20%) Laboratory group work, carried out weekly during laboratory classes;
+ (10%) Online mini-tests, carried out weekly on the e-learning platform.

The final grade is calculated through a weighted average of these 3 aspects according to the weights presented, taking into account that:

+ Passing the test component requires obtaining a minimum grade of 7.5 in both tests;
+ Missing 2 or more laboratory sessions results in automatic failure in this component of the assessment;
+ Failure to deliver 4 or more online mini-tests results in automatic failure in this component of the assessment;
+ For the purposes of calculating grades, missing assignments are marked with 0 values;

Failure in any of the assessment components throughout the semester requires that the student is assessed by final exam.

2. Assessment by final exam

Assessment by final exam consists of 1 single exam carried out in any of the available exam periods, which will correspond to 100% of the final grade.

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. Semaphores.
CP5: Interprocess comunication.
CP6: Memory management: models and algorithms.
CP7: Virtual Memory.
CP8: Input / Output.
CP9: File Systems.
CP10: Case study: Linux.
CP11: Shell commands and shell programming.
CP12: Communication and syncronization mechanisms.

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

Evaluation components:
* TRAB (12.5% x 3): Group or Individual assignment, performed in 3 stages
* TPC (12.5%): 9 home quizzes (the 8 best are accounted)
* PE (50%): Written exam performed:
1) In two stages:
* Test 1 (25%): written test performed during the semester; minimum grade of 8/20.
* Test 2 (25%): written test performed on the first season of evaluation; minimum grade of 8/20.
* Average result gathering Test 1 and Test 2 >= 9.5/20.
2) Evaluation by single test (50%), on the first, second or special season dates.

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

Further information in section "Observations".

At the end of the curricular period of this UC, the student must:
LO1. Know and apply the main concepts used in the description and modeling of qualitative and quantitative data (know how to interpret the outputs of some software (R and Excel).
LO2. Understand/use fundamental concepts of probabilities, random variables and the most important theoretical probability distributions for discrete and continuous variables, and apply this knowledge to calculate probabilities in real contexts.
LO3. Know the most important theoretical sampling distributions and know how to choose the appropriate ones for different types of problems. Perform punctual and interval estimation, differentiating parameters, statistics, estimators and estimates. Understand the principles of parametric hypothesis tests (and interpret some non-parametric ones).

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

Students can choose assessment throughout the semester or assessment by exam.
Assessment throughout the semester includes:
a)an individual interim test (40%) and
b) a final test (60%);
Minimum score in each test of 8 out of 20; pass grade: weighted average of 10 (rounded to the nearest unit) out of 20.
Assessment by exam: individual exam that includes the entire subject with a minimum grade (rounded to the nearest unit) of 10 out of 20.

On completion of this course, students should be able to:
OA1.Recognize the fundamental principles of ethics and professional deontology in the field of engineering and technology.
LO2. Apply ethical decision-making models - such as consequentialism, virtue ethics and deontology - to solve professional dilemmas in engineering and technology.
LO3. Identify and critically analyze ethical dilemmas in complex technological contexts, with an emphasis on analyzing the social, legal and environmental impacts of technical decisions.
LO4. Develop proposals for professional conduct in line with national and international codes of ethics (OE, IEEE, ITU).

CP1: Fundaments of Ethics and Deontology
- Code of Ethics of the Order of Engineers
- Professional principles, values and duties

CP2: Introduction to ethical decision-making
- Ethical frameworks: deontology, consequentialism, virtue ethics
- Applicability in professional and organizational practice

CP3: Technological dilemmas and social impacts
- AI and decision-making algorithms: impartiality, algorithmic justice or non-discrimination
- Big Data, surveillance and privacy (briefly includes GDPR and ePrivacy)
- Innovating responsibly: legal framework and ethical principles

CP4: Ethics, social responsibility and sustainability
- Technological citizenship, environmental impact, social justice
- The engineer as an ethical agent of change

The course includes two assessment methods: continuous assessment and assessment by exam.

Continuous Assessment (CA):

This is based on the combination of collaborative learning and individual evaluation of ethical analysis skills, critical thinking, and understanding of key concepts. It includes two complementary components:

Group Presentation (50%) – Students are organized into 5 groups to prepare and deliver a reflective exercise, based on work proposals provided by the instructor related to the previous class topic. Each group gives an oral presentation during one of the sessions throughout the module. Evaluation focuses on the content, clarity, and coherence of the presentation, as well as the quality of participation in the discussion.

Individual Written Assignment (50%) – Each student writes an individual paper on the topic addressed by their group’s presentation, or on another topic agreed upon with the instructor, demonstrating critical understanding of the concepts and personal ethical reflection.

Assessment by Exam:

This method consists of an individual written exam (100%), to be taken during the official examination period, and covers all the course content. If necessary, it may include an additional oral examination. This mode is available to students who choose it or who did not pass through continuous assessment.

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

As this is an eminently practical course, it is not assessed by 100% exams, but only during the semester. There are 2 types of assessment during the semester: A and B.

Mode A (you need to attend the practical classes that have evaluations and take Test 1):
- Class participation (10%, groups of 2)
- Written test (Test 1) in the middle of the semester (40%, individual, minimum mark of 8)
- Project (50%, groups of 2, discussion in the last week of classes, minimum mark of 8)

Mode B:
- Written test (Test 1) in the middle of the semester (50%, individual, minimum mark of 8)
- Project (50%, groups of 2, discussion in the last week of classes, minimum mark of 8)

Regardless of the modality followed:
- Test 1 can be replaced, if it has a mark <8, with the Written test on the date of the 1st term (individual, minimum mark of 8)
- the grade for the “Project” component is limited by the performance demonstrated individually in an oral discussion, according to the following rule:
- Very good performance - no limit;
- Good performance - limit of 16 marks
- Sufficient performance - limit of 12 val.
- Poor performance in the discussion - failure of the course.

The special assessment period consists of a project and a test, each component worth 50%.

Grades can only be improved by repeating the assessment process the following year.

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 content taught, assessment will take place throughout the semester, with no final exam.
First Examination Period Assessment:
* Exercises (10%), completed in class and in groups.
* Test (40%), taken individually. Mandatory, with a minimum passing grade of 7 out of 20.
* Project (50%), done in groups, including a report and software. Mandatory, with a minimum passing grade of 7 out of 20. In case of doubts about the project evaluation, the teaching staff may require the group to attend an oral discussion.
Second Examination Period Assessment:
* Possibility to retake the test (40%), only for those who failed the test in the first period.
* The grades obtained throughout the semester for Exercises (10%) and the Project (50%) will be considered.
Class attendance is not mandatory.
Students enrolled in the special examination period will only complete the Test (50%) and Project (50%) components.
Grade improvement can only be pursued through assessment in the following academic year.

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. Assessment throughout the semester:
- 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 group to be delivered in the penultimate week of classes - (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.

With this curricular unit the student should be able to:
LO1. Develop abstraction mechanisms;
LO2. Develop information structuring abilities;
LO3. Develop ability to effectively use information search languages;
LO4. Implement a solution applying the concepts learned.

The programmatic contents (PC) are as follows:
PC1 - UML Language, Class Diagram
PC2 - Relational model
1. Design of relational schemas
2. Relationships and primary keys
3. Foreign keys and integrity rules
4. Optimizations and indexes
5. Transposition of a conceptual model to a relational model
PC3 - SQL Language
1. Simple Querys;
2. Aggregation Functions
3. SubQuerys;
PC4 - SQL Automations
1. Triggers
2. Stored Procedures and Functions
PC5 - Transactions and concurrency
PC6 – Introduction to PHP/MySQL

Assessment throughout the semester:
- Group project, with a pondering of 40% in two phased deliveries;
- Individual written test, with a weight of 50% to be taken on the date of the first period; It is
- Four online midterm tests, with a weighting of 10% to be carried out throughout the semester.
Condition for approval: minimum grade of 8.00 points (out of 20), without rounding for the project and the test.
If the student fails or does not reach the minimum grade in the individual written test, they can use the date of the second period to repeat this assessment component. For project components and online interim tests, there will be no possibility of new deliveries or repetitions.
Students who wish to improve their grade will be able to take the exam, to be held on the date of the second period. None of the remaining components are capable of improvement.

Assessment by exam:
- Individual written test, without consultation, with all the material (100%).
Anyone who has not successfully completed the assessment throughout the semester, with an average grade greater than or equal to 10 (out of 20) takes a final exam – in the first period, second period or in the special period (according to the rules of the pedagogical council).

It is expected that, after completing this course, students will be able to:
OA1. Reduce data dimensionality using principal components
OA2. Identify groups and patterns
OA3. Build simple explanatory models
OA4. Use the chosen software

P1. One-way ANOVA; robust alternatives and non-parametric alternatives
P2. Principal Component Analysis: data exploration and suitability; components to retain; model quality; representation, interpretation of retained components, and index construction
P3. Cluster Analysis: variable selection; outlier identification; hierarchical and non-hierarchical methods; results validation
P4. Regression Models: multiple linear regression; binary regression

Evaluation throughout the semester:
Grade =mid-term test (30%) + Group work (20%) + Final test (50%)
Students should obtain a minimum of 7,5 out of 20 in each intermediate test and 8,5 out of 20 in each other component of the continuous evaluation. Minimum of 10 out of as final grade to be approved.
Exam: 100%

At the end of this learning unit’s term, the student should be able to summarize the relevance of management accounting for organizational management; identify methods for assigning costs to different cost objects and understand the effects that adopting different costing systems has on results; interpret the basic principles of using information for decision-making and explain the role of budgeting within the planning process, as well as the relationship between long-term planning and the budgeting process

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

1st chance: Periodic evaluation consisting of a two written mid-term tests (50%) and a written final test (50%), it’s mandatory to take the three tests; or written final exam (100%).
2nd chance: Written final exam (100%)

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.

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

Students can choose between continuous assessment throughout the semester or assessment by exam.
The continuous assessment consists of:
-Two written tests (50% each of the final grade)
The exam assessment consists of:
-One written test (100% of the final grade)
Approval in the course depends on obtaining a final grade, rounded to the nearest whole number, of 10 or higher.

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

Students can choose between an assessment by exam or an assessment throughout the semester.

The assessment throughout the semester consists of 2 written tests. Each test has a minimum grade of 7.5 and a weight of 50% in the final grade. Passing the course depends on obtaining the minimum grade in each of the written tests and a final grade, rounded to the nearest integer, equal to or greater than 10.

In the assessment by exam passing the course depends on obtaining a grade, rounded to the nearest interest, equal to or greater than 10.

LO1. Identify the requirements for CDSI and the main phases and activities of CDSI;
LO2. Transform requirements into technical specifications and IS models;
LO3. Use IS modelling tools;
LO4. Use Low-Code implementation technologies and introduction to services for IS implementation, Application Programming Interfaces with REST protocols;
LO5. Build teamwork experience in the context of carrying out the CDSI project, developing discussion skills, tolerance, acceptance and respect for colleagues' opinions (soft skills);
LO6. Co-construct solutions based on critical thinking, creative problem-solving, collaboration, critical observation, negotiation and collaborative decision-making;
LO7. Apply strategies for proposing thoughtful solutions, autonomous work based on researching solutions and sustained construction of arguments;
LO8. Develop oral and written communication skills and technical discussion skills.

CP1. Introduction to IS design and development;
CP2. IS development life cycle;
CP3. Requirements analysis for IS design and development;
CP4. IS specification and design, UML diagrams;
CP5. Process modelling in the context of IS in BPMN;
CP6. Low-Code implementation technologies;
CP7. Integration technologies in the context of IS: Service Oriented Architectures, API and REST.

Assessment throughout the semester:
Assessment in the CU is exclusively carried out by evaluation throughout the semester as it is an imminently practical CU through a project. The individual grade is the result of several components: the assessment of the interim reports, the final report, the assessment of the student's performance throughout the semester (involvement in the weekly discussions, their capacity for exposition and technical discussion), orals and an individual test, as follows:
- Class participation (10%): assesses attendance, including compulsory attendance at 80% of classes, involvement and individual contributions by students in discussions and practical activities.
- Individual test (20%) to be taken in the interim;
- Phase 1 of the project: delivery, weekly discussions, oral presentation (30%), to be carried out during the semester;
- Phase 2 of the project: deliveries, weekly discussions (30%) to be held during the semester after phase 1;
- Phase 3 of the project: delivery of the test report (10%) to be carried out by the end of the semester.
- The marks for phases 2 and 3 consider the demonstration and oral discussion component of the final project to be carried out during the 1st season.
The weighted average of each of these components (no less than 8 points in each component) constitutes the final grade.
There is no assessment by exam and the special period is a complement to the assessment throughout the semester, if necessary.
The special period is reserved for special cases provided for in the General Regulations for the Assessment of Knowledge and Competences (RGACC), Article 14 Special period: https://www.iscte-iul.pt/conteudos/estudantes/informacao-academica/regulamentos-formularios/1025/regulamentos
If Artificial Intelligence resources and tools are used, they must be clearly mentioned in the results. Just as articles, books websites and other sources used in a report are referenced, the use of AI must also be referenced and used only as a support and research tool. In this sense, whenever AI is used to perform a specific task, this contribution must be mentioned, ensuring that originality and academic integrity are maintained. For example, each student may include a brief statement at the end of a paper explaining the role of AI in the process developed to complete the paper.
AI tools cannot be used to generate entire reports or plagiarise content. If this happens, the assessment will be penalised.

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

(CP1) Fundamental notions of AI with emphasis on the search-based approach
(CP2) Search algorithms: depth first and breadth first, A*
(CP3) The basics of machine learning: supervised, reinforcement learning and unsupervised learning
(CP4) Genetic algorithms
(CP5) Multilayer feedforward neural networks with backpropagation
(CP6) Fundamental notions relating to knowledge, representation and the architecture of knowledge-based systems
(CP7) First-order predicate logic: representation and deduction
(CP8) Declarative knowledge represented in Logic Programming
(CP9) Rule Systems based on Fuzzy Logic

Assessment throughout the semester:
- 2 Tests (35% each), minimum grade of 8.5 in each test
- 2 Project (15% each) minimum grade of 9.5 in each project


Final evaluation:
- Exam (in 3 possible dates: 1ª época, 2ª época and Special Season) 100%

The grades for the projects will result from a practical assessment conducted during an oral presentation, on the dates indicated in the respective assignment. One of the projects will be submitted mid-semester, and the other during the last week of classes. Although the projects are developed in groups, the grade assigned to each student in the group will be individualized, based on their performance in the practical assessment for each project.

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

Students must apply all the knowledge acquired in the course to solve problems related to information systems security. By the end of the course, they should be able to:
OA1 - Understand the main information security challenges faced by organizations and users;
OA2 - Identify and manage information security;
OA3 - Understand and apply appropriate security technologies to mitigate risks;
OA4 - Acquire knowledge of data privacy and encryption;
OA5 - Understand, manage, and maintain information security systems.

CP1. Introduction to Information Security.
CP2. Legal, Ethical, and Professional Aspects of Information Security.
CP3. Information Security Planning.
CP4. Risk Management.
CP5. Information Security Technology.
CP6. Cryptography.
CP7. Data Privacy.
CP8. Information Security Implementation.
CP9. Physical and Personnel Security.
CP10. Information Security Maintenance.

Assessment can be conducted in one of two ways:

1) Assessment throughout the semester:
- Completion of various practical exercises and group projects (50%) throughout the semester.
- Completion of two individual tests (50%) [minimum grade of 7.5 points for each test], one during the class period and the other during the first exam period.
Students must attend at least 50% of the semester's classes to be eligible for assessment throughout the semester.

2) Assessment by exam:
For students who choose this method, or who fail the assessment process throughout the semester:
Assessment by written exam (100% - first exam period, second exam period, and special exam period), with a minimum final written exam score of 9.5 points.

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.

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;
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 quality
CP6 - Software delivery and evolution

_________________________________________________________________________
ASSESSMENT THROUGHOUT THE SEMESTER

In accordance with Article 7A of the RGACC, assessment will be carried out throughout the semester, using the following two types of instruments:

• Six (6) fortnightly practical assignments, weighted at 30% (maximum of 6 points in total). Each of these guides will introduce the use of at least one new tool in the context of a project (group work) throughout the semester, which may be differentiated according to the students' degree (LEI, LIGE, and LETI) for motivation purposes.

• Two (2) individual written assessment tests, each worth 35% (maximum of 7 points each), one taken during the mid-semester break and the other coinciding with the first exam period. Each of these tests will have two components, one focusing on practical learning conveyed through the completion of the scripts and the other focusing on theoretical content, both worth half the mark of the corresponding written test.

Both the set of 6 practical scripts and the set of 2 tests must have a minimum grade of half the maximum score to pass, i.e., 3 points in the case of scripts and 7 points in the case of tests. Each script must be submitted within a maximum of 2 weeks after its release. Final grades above 16 points will be confirmed in an individual oral exam held immediately after the second test.

_________________________________________________________________________
ASSESSMENT IN THE SECOND SEASON

Under the terms of Article 13(2) of the RGACC, this Curricular Unit does not include assessment by exam, so the second session will allow the assessment to be completed throughout the semester through a single individual written test covering all the course material, with a weighting of 70% of the final grade (maximum of 14 points), containing two components, one focusing on practical learning conveyed through the completion of the scripts and the other focusing on theoretical content, both worth half the score of this written test. The remaining 30% of the final grade in the second season (maximum of 6 points) corresponds to the score obtained in the 6 assessment scripts throughout the semester.
The minimum grade for passing in the second season will be half of the maximum test score (7 points), with the requirement for the scripts (3 points) remaining unchanged. Final grades above 16 points will be confirmed in an individual oral exam held immediately after the second season exam.

_________________________________________________________________________
SPECIAL SEASON ASSESSMENT

The assessment scheme is the same as for the second season.

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) Assessment during classes period: 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).

OA1: acquire and understand fundamentals of human-machine interaction through selected texts/papers, correlated with the miniProject to be developed;;
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%) – 1ª Época, 2ª Época and Época Especial, or Assessment throughout the semester 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; Exams and 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
3. Principles
4. Mananagemet control tools
5. Phases of management control system
II - Financial information for management control
1. The objectives of financial information for management
2. Cost and margin segmentation systems
3. EVA and value management through residual income
4. Costs and decision making: activity based costing
III - Behaviour instruments
1. Responsibility centers
2. Performance evaluation of responsibility centers
3. Transfer prices methods
IV - Planning and monitoring activities
1. Balanced Scorecard, Tableau de Bord, and Objectives and Key Results (OKRs)
2. Action plan and budgeting

1) Assessment throughout the semester: Instruments: case solving in group (40%) and an individual written final test (60%). Approval: a) Requires a minimum grade of 7,5 points in each element (or group of elements; b) 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

OA1 - Explain the operation of networks in an integrated manner, identifying and implementing different solutions to support applications and services.
OA2 - Explain, distinguish and evaluate different protocols and services available for end-to-end communication and communication between applications over the network.
OA3 - Explain the architecture of the transport network, software defined networks and mobility. Be able to distinguish and evaluate different architectures.
OA4 - Be able to distinguish 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.

Evaluation during the semester:
65% written test - 30% 1st written test on CP1 and CP2, and 35% - 2nd written test on CP3 to 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. The evaluation of the laboratories is done in groups, with an individual component for each student.

Season 1 Evaluation:
Assessed 100% with a written test on CP1 to CP5

Season 2 Evaluation:
Assessed 100% with a written test on CP1 to CP5

Special Season Evaluation:
Assessed 100% with a written test on CP1 to CP5

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 how to apply simple and intuitive methods of 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 .

P1. 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.
P2. The Technology adoption life cycle and its role on the B2C and B2B decision buying process. The customer journey
P3. The market: characterization, players, life cycle, competition and distribution analysis. E-marketplaces and E-commerce
P4. Marketing Intelligence, simple market research methods and sales goals
P5. Competitiveness analysis. Tools as dynamic SWOT analysis, market key success factors and firm competitive advantage.
P6- Goals and Marketing strategic options: Segmentation, targeting, positioning and value proposition
P7. The Marketing-mix politics (the 7 P)
P8. Metrics and analytics tools

Option between assessment throughout the semester or Exam (1st or 2nd call). Approval if grade > = 9.5 v.
The assessment throughout the semester evaluation considers a final grade by: Individual (55%) - final test (on the 1st call) (40% with Minimum grade of 8,5 values.), Participation and attendance in class (15% with minimum grade of 9,5v) and Team work (45% with minimum of 9.5v in each component): Project Team (30%) and case study (15%).

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.

All assessment is based on the group project despite being individual. The individual grade results:
a) initial reports (20%)
b) final report (35%) delivered in the last week of classes
c) individual questionnaire at the time of the final discussion (15%)
d) final discussion in the week following the delivery of the final report and assessment of the student's performance throughout the semester (30%)
(involvement in weekly discussions, in its capacity for exposition and technical discussion) 15%

Approval: final grade of 9.5 as long as grade in d) is greater than or equal to 40%, otherwise fail.
Attendance at 80% of weekly meetings is mandatory. There is no assessment by exam and the special period consists of submitting a report in addition to the assessment. throughout the semester.

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.

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)

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: assessment throughout the semester and assessment by exam (for 100% of the grade). Given the practical nature of this UC, the assessment throughout the semester is recommended, which includes the development of a practical work.
Assessment throughout the semester consists of the following components:
- Practical work (in group): 55% (binding partial delivery to continue in assessment throughout the semester – mid semester, with qualitative assessment).
- Peer assessment (in group): 10%.
- Individual test (in the first period) - 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: assessment by exam for 100% of the grade, in the first period, second period and special assessment period.

The working groups have 4 elements. Exceptionally groups of 5 elements are accepted, implying a greater component of implementation in PowerBI.
Due to the large number of students enrolled, it is not possible to carry out individual practical work.

The practical work has a binding partial delivery to continue in assessment throughout the semester, 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 (will now be assessed by exam). All members of the group must be present in class for the presentation of the partial delivery of the practical work.
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 with each group. The oral presentations 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 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).

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

Assessment by exam (1st Period, 2nd Period and Special Period) :
* 100% - Written test: Theoretical + Exercise.
- Final approval: note >= 10

Assessment throughout the semester (optional):
- 3 Components:
* 50% - Group work - deliveries throughout the semester;
* 10% - Individual test on group work - end of term;
* 40% - Individual written test (without consultation) - 1st period date.

- Minimum mark in each component: 40%.

- The teacher may schedule an oral discussion of the work. Failure to attend this discussion will result in a zero mark in the group work component.

LG1: To describe the basic concepts of operations management and align operations strategy options with corporate strategy;
LG2: To select the most appropriate processes to support the products and services that satisfy customers? needs, as well as their special organization;
LG3: To plan and control of the resources needed by the processes and assure availability of resources and other materials needed to satisfy customers' needs.

I - Introduction
S1: Introduction to Operations Management
S2: Operations Performance and Strategy.
S3: The Structure and Scope of Operations
II - Designing the Operation
S4: Process Design.
S5: Layout and Flow.
III - Planning and control
S6: Capacity Management
S7: Inventory Management
S8: Supply Chain Management

i) OPTION 1 - Assessment throughout the semester (*)
a) Group work: presentation, ppt with notes (50%).
Presentation with the participation of all Students; delivery of slides with the full text that was said, participants and respective times, added together in notes
b) Individual written test (50%), with limited consultation, i.e. one A3 sheet handwritten, front and back.
In the assessment throughout the semester, Students must score at least 8 points in each of the assessment components (a) and b)).
Approval involves a final result of at least 10 points out of 20, obtained by weighted average.
Students must meet the School’s attendance targets to obtain approval in this modality.

ii) OPTION 2 - Final written exam (100%), with limited consultation, i.e one A3 sheet handwritten, front and back. Minimum score for approval: 10 points out of 20 (*)

(*) Note: Students with results equal to or greater than 17 points may, in any of the options, be called for an oral test.

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, design, and implement 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. Special cases (web mining, text mining, etc.)

The student must pass this course only through assessment throughout the semester 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 (code, report, and presentation) with two submissions (30% x 2), one middle of the semester submission (code and report, only), which concerns the first part of the project, and another at the end of the teaching period (penultimate week, presentation in the last week) that corresponds to the complete project, including the first part (which can be improved).

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

The Final Project must be done in group.

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.

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.


Evaluation during the semester

Individual assignment (IA) - 20% of the grade (during semester)
Group assignment
Part1 (P1) - 30% of the grade(during semester)
Part2 (P2) - 30% of the grade(during semester)
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 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.