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[]
["AIT.U1.E1.PC1",null,"The student is able to define artificial intelligence."]
[]
["Number","Correct?","Question"]
[]
[1,"B,C","What is artificial intelligence?","A","Artificial Intelligence describes the large volume of data – both structured and unstructured – that inundates a business on a daily basis."]
[null,null,null,"B","Artificial Intelligence is a branch of Computer Science."]
[null,null,null,"C","Artificial Intelligence seeks to simulate the human process of learning and decision making."]
[null,null,null,"D","Artificial Intelligence is a method of storing and transmitting data in a particular form so that only those for whom it is intended can read and process it."]
[]
["AIT.U1.E1.PC2",null,"The student understands the need, purpose and impacts of artificial intelligence. "]
[]
["Number","Correct?","Question"]
[]
[1,"A","Artificial Intelligence impacts almost every domain of our daily lives, smart home devices and surgical robots are examples of AI applications.","A","Yes"]
[null,null,null,"B","No"]
[]
[2,"A","Machines are not affected by emotions or human problems such as lack of sleep or hunger​, allowing the reduction of errors and  avoiding performance fluctuations.","A","Yes"]
[null,null,null,"B","No"]
[]
[3,"B","Artificial Intelligence is associated to low production and repair costs.​","A","Yes"]
[null,null,null,"B","No"]
[]
["AIT.U1.E1.PC3",null,"The student understands the differences between data, information, knowledge, understanding/insight and wisdom."]
[]
["Number","Correct?","Question"]
[]
[1,"B","In the DIKW hierarchy, information represents the level with most value.","A","Yes"]
[null,null,null,"B","No"]
[]
[2,"B","The extraction of patterns from information leads to wisdom.","A","Yes"]
[null,null,null,"B","No"]
[]
[3,"A","Data are raw and are facts that alone are not meaningful.","A","Yes"]
[null,null,null,"B","No"]
[]
[4,"B","Wisdom is the top level of the DIKW hierarchy and answers the \"How?\" question.","A","Yes "]
[null,null,null,"B","No"]
[]
["AIT.U1.E1.PC4",null,"Deduce how to gain strategic advantage through the use of different kinds of intelligence."]
[]
["Number","Correct?","Question"]
[]
[1,"A,D","Machine Learning can be used in Healthcare ","A","to decrease drug development cost and time."]
[null,null,null,"B","to increase drug development cost and time."]
[null,null,null,"C","to enable longer and more efficient medical diagnosis. "]
[null,null,null,"D","to enable faster and more efficient medical diagnosis."]
[]
[2,"B,D","Machine Learning can be used in Transport ","A","to create more congested and dangerous roads."]
[null,null,null,"B","to create less congested and dangerous roads."]
[null,null,null,"C","to increase adverse environmental impacts."]
[null,null,null,"D","to provide personalized user-experience to passengers."]
[]
["AIT.U1.E1.PC5",null,"Understand the origin and evolution of artificial intelligence over the years.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A,C","Artificial Intelligence has gained popularity in recent years due to","A","Higher computing performance as well as power and storage​."]
[null,null,null,"B","Science fiction movies that portray the dark side of Artificial Intelligence."]
[null,null,null,"C","Advances in the fields of Big Data and IoT."]
[null,null,null,"D","The need to replace human beings by machines."]
[]
[2,"C,D","The industry 5.0 refers to ","A","Intelligent supply chain​."]
[null,null,null,"B","Mass customization."]
[null,null,null,"C","Responsive and distributed supply chain​."]
[null,null,null,"D","Hyper customization​."]
[]
["AIT.U1.E1.PC6",null,"Recognize and critically understand the issues and ethical concerns surrounding artificial intelligence."]
[]
["Number","Correct?","Question"]
[]
[1,"D","Artificial Intelligence ","A","should not be feared since there are no ethical or moral considerations surrounding it."]
[null,null,null,"B","cannot be used for malicious purposes."]
[null,null,null,"C","is not vulnerable to have its activity influenced by value judgments, principles, and religion."]
[null,null,null,"D","is associated to important ethical and moral conerns, such as human addiction and safeguards agains mistakes and racism."]
[]
[]
["AIT.U1.E2.PC1",null,"Know the different application domains of artificial intelligence. ​"]
[]
["Number","Correct?","Question"]
[]
[1,"A,B,C,D","Artificial Intelligence can be applied to","A","Marketing and Social Media"]
[null,null,null,"B","Finances and Banking"]
[null,null,null,"C","Healthcare"]
[null,null,null,"D","Space Exploration"]
[]
["AIT.U1.E2.PC2",null,"Analyse and discuss several examples and applications of artificial intelligence. ​"]
[]
["Number","Correct?","Question"]
[]
[1,"A","The following are examples of artificial intelligence applications","A","Smartphones, drones and autonomous vehicles."]
[null,null,null,"B","Smart home devices, thermostats and facial recognition."]
[]
["AIT.U1.E2.PC3",null,"Recognizes the challenges surrounding artificial intelligence approaches. ​"]
[]
["Number","Correct?","Question"]
[]
[1,"B,C","What are the challenges of artificial intelligence?","A","Statistics and analytics"]
[null,null,null,"B","Transparency and trustability"]
[null,null,null,"C","Legal and ethical issues"]
[null,null,null,"D","Big Data"]
[]
["AIT.U1.E2.PC4",null,"Assess the impact of artificial intelligence on the future of work and society.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A,C","In the future, artificial Intelligence will ","A","automate simple tasks and dramatically improve human lives.​"]
[null,null,null,"B","replace human beings careers and increase unemployment rates."]
[null,null,null,"C","become a productivity tool to enrich the ability of human beings."]
[]
["AIT.U1.E2.PC5",null,"Reflect about the future of artificial intelligence. ​"]
[]
["Number","Correct?","Question"]
[]
[1,"A,B","In order to play a leading role in the future society, artificial intelligence must","A","rely on a large amount of diverse datasets in order to provide unibased data to improve its safety and reliability."]
[null,null,null,"B","be regulated in such a way that the consequences resulting from its activity can be held accountable."]
[null,null,null,"C","stay in the current state, without suffering any regulatory and computational changes."]
[]
["AIT.U2.E1.PC1",null,"Understand the connection between artificial intelligence and machine learning."]
[]
["Number","Correct?","Question"]
[]
[1,"C","What is the connection between Artificial Intelligence and Machine Learning?","A","Artificial Intelligence and Machine Learning are branches of Statistics."]
[null,null,null,"B","Artificial Intelligence and Machine Learning are separate fields."]
[null,null,null,"C","Machine Learning is a current application of Artificial Intelligence."]
[null,null,null,"D","Artificial Intelligence is a subset of Machine Learning."]
[]
[2,"B","Machine Learning is ","A","a subset of Artificial Intelligence and Deep Learning."]
[null,null,null,"B","a subset of Computer Science and Artificial Intelligence."]
[null,null,null,"C","a subset of Data Mining and Artificial Intelligence."]
[]
["AIT.U2.E1.PC2",null,"Know how to define machine learning."]
[]
["Number","Correct?","Question"]
[]
[1,"B,C","What is machine learning? ","A","Machine Learning is a method of storing and transmitting data."]
[null,null,null,"B","Machine Learning uses statistical methods to enable machines to learn and improve with experience.​"]
[null,null,null,"C","Machine Learning enables computers to learn automatically without human intervention."]
[]
["AIT.U2.E1.PC3",null,"Explain the value proposition of machine learning and understand its particularities and key features."]
[]
["Number","Correct?","Question"]
[]
[1,"A","What are the reasons for adopting Machine Learning?","A","Saves the manpower of organizations and increases productivity."]
[null,null,null,"B","Organizations want workers to be replaced by machines to avoid paying wages."]
[null,null,null,"C","Machine learning-based solutions are easy to repair and have low cost."]
[]
[2,"A","What are the impacts of Machine Learning?","A","Machine Learning works great for products/services customization."]
[null,null,null,"B","Machine Learning works great with static phenomena like medical diagnosis."]
[]
[3,"A","Machine Learning applications are broad from entertainment, social media, and retail to more complex fields such as medicine, education, and transportation.​","A","Yes"]
[null,null,"​","B","No"]
[]
[4,"B","Machine Learning applications","A","are limited to the fields mentioned in this learning element."]
[null,null,null,"B","mentioned in this learning element are by no means comprehensive."]
[]
[5,"B","Machine learning can be used to minimize energy performance in transport.","A","Yes"]
[null,null,null,"B","No "]
[]
[6,"A","Machine learning can be used to reduce human errors and improve safety in healthcare and transportation.","A","Yes"]
[null,null,null,"B","No "]
[]
[7,"A","Machine learning can ease teaching and learning processes.","A","Yes"]
[null,null,null,"B","No "]
[]
[8,"B","Machine learning contributes to hate speech and cyberbullying.","A","Yes"]
[null,null,null,"B","No"]
[]
[9,"C","The following are impacts of using machine learning","A","smart healthcare, unemployment and air pollution."]
[null,null,null,"B","self driving cars, industry automation and identity theft."]
[null,null,null,"C","improved clinical decision-making, fraud detection and traffic optimization."]
[]
[10,"B","In what concerns the future of Machine Learning,","A","most progress has already been made and there aren't huge opportunities for improvement."]
[null,null,null,"B","there is still a vast window of opportunity in almost all areas of human life."]
[]
[11,"A,C,D","Despite the advantages of machine learning, the field is associated to some challenges such as","A","data quality issues."]
[null,null,null,"B","low development costs."]
[null,null,null,"C","privacy concerns."]
[null,null,null,"D","ethical considerations."]
[]
["AIT.U2.E2.PC1",null,"List the different types of machine learning methods."]
[]
["Number","Correct?","Question"]
[]
[1,"D","Machine Learning algorithms can be grouped into the following categories","A","Supervised and Unsupervised Learning."]
[null,null,null,"B","Supervised, Unsupervised and Semi-supervised Learning."]
[null,null,null,"C","Supervised, Unsupervised and Reinforcement Learning."]
[null,null,null,"D","Supervised, Unsupervised, Semi-supervised and Reinforcement Learning."]
[]
["AIT.U2.E2.PC2",null,"Define and explain the different machine learning methods as well as the conditions of use of each method."]
[]
["Number","Correct?","Question"]
[]
[1,"C,D","What is supervised learning?","A","Supervised learning trains algorithms based on unlabeled datasets."]
[null,null,null,"B","In supervised learning, there isn't a relationship between the input and the output."]
[null,null,null,"C","In supervised learning, there is a relationship between the input and the output."]
[null,null,null,"D","Supervised learning trains algorithms based on labeled datasets."]
[]
[2,"C","The following are supervided learning algorithms","A","Logistic Regression, Fuzzy C-means and Decision Trees."]
[null,null,null,"B","K-means, Random Forest and Support Vector Machines."]
[null,null,null,"C","Naïve Bayes, Decision Trees and Multiple Linear Regression."]
[]
[3,"A,C","In classification","A","the output is one or more discrete labels."]
[null,null,null,"B","the output is a continuous quantity."]
[null,null,null,"C","the nature of the predicted data is unordered."]
[null,null,null,"D","the nature of the predicted data is ordered.​"]
[]
[4,"A","Support Vector Machines are","A","classification algorithms."]
[null,null,null,"B","regression algorithms."]
[null,null,null,"C","probability estimation algorithms."]
[]
[5,"A","Logistic Regression are","A","classification algorithms."]
[null,null,null,"B","regression algorithms."]
[null,null,null,"C","probability estimation algorithms."]
[]
[6,"C","What are the domain applications of supervised learning?","A","Fraud detection and gaming are examples of supervised learning applications."]
[null,null,null,"B","Optimal character recognition and big data visualization are examples of supervised learning applications."]
[null,null,null,"C","Information retrieval, spam detection and speech recognition are examples of supervised learning applications."]
[]
[7,"A,B","What is unsupervised learning?","A","Unsupervised learning trains algorithms based on unlabeled datasets."]
[null,null,null,"B","In unsupervised learning, there isn't a relationship between the input and the output."]
[null,null,null,"C","In unsupervised learning, there is a relationship between the input and the output."]
[null,null,null,"D","Unsupervised learning trains algorithms based on labeled datasets."]
[]
[8,"C","The following are unsupervided learning algorithms","A","Logistic Regression, Multiple Linear Regression and Decision Trees."]
[null,null,null,"B","Random Forest, K-means and Support Vector Machines."]
[null,null,null,"C","K-means, Fuzzy C-means and Gaussian models."]
[]
[9,"B","What are the domain applications of unsupervised learning?","A","Fraud detection and gaming are examples of supervised learning applications."]
[null,null,null,"B","Recommender systems and big data visualization are examples of supervised learning applications."]
[null,null,null,"C","Information retrieval, spam detection and speech recognition are examples of supervised learning applications."]
[]
[10,"C","What kind of data is used in semi-supervised learning?","A","In semi-supervised learning, the dataset consists of unlabelled data."]
[null,null,null,"B","In semi-supervised learning, the dataset consists of labelled data."]
[null,null,null,"C","In semi-supervised learning, the dataset consists of a combination of labelled and unlabelled data."]
[]
[11,"A","Semi-supervised learning","A","can be either transductive or inductive learning."]
[null,null,null,"B","is a particular case of unsupervised approach."]
[null,null,null,"C","groups the data using supervised learning algorithms and then, unsupervised learning algorithms are applied."]
[]
[12,"B","The following are semi-supervided learning algorithms","A","Support Vector Machine, Graph-based models and Random Forest."]
[null,null,null,"B","Self-Training​, Mixture models and Graph-based models."]
[null,null,null,"C","Generative models​, K-means and Logistic Regression."]
[]
[13,"A,C","When should we use semi-supervised models?","A","When there is a large amount of unlabeled data in-domain."]
[null,null,null,"B","When there is a scarcity of unlabeled data in-domain."]
[null,null,null,"C","When labelled data is only available out-of-domain."]
[null,null,null,"D","When labelled data is only available in-domain."]
[]
[14,"B","What is reinforcement learning?","A","reinforcement learning is a type of dynamic programming that forms algorithms using labeled input/output pairs​."]
[null,null,null,"B","reinforcement learning is a type of dynamic programming that forms algorithms using a reward and punishment system​."]
[null,null,null,"C","reinforcement learning is a type of static programming that forms algorithms using a reward and punishment system​."]
[]
[15,"C","The following are examples of reinforcement learning algorithms","A","Model Based Value Expansion​​, Deep Deterministic Policy Gradients​​ and Support Vector Machines."]
[null,null,null,"B","Deep Deterministic Policy Gradients​​, Logistic Regression and Imagination-Augmented Agents​."]
[null,null,null,"C","AlphaZero, Model Based Value Expansion​​ and Imagination-Augmented Agents​."]
[]
[16,"B","Reinforcement learning algorithms can be categorized into","A","Policy optimization and model-based."]
[null,null,null,"B","Model-based and model-free."]
[null,null,null,"C","Policy optimization and Q-learning."]
[]
[17,"C","Model-free reinforcement learning","A","has two approaches, namely learning the model and learn by given the model."]
[null,null,null,"B","uses experience to develop an internal model of transitions and immediate results in the environment​."]
[null,null,null,"C","relies on trial-and-error experience to establish the optimal policy.​"]
[]
[18,"B","Model-based reinforcement learning","A","has two approaches, namely policy optimization and Q-learning."]
[null,null,null,"B","uses experience to develop an internal model of transitions and immediate results in the environment​."]
[null,null,null,"C","relies on trial-and-error experience to establish the optimal policy.​"]
[]
[19,"A","Model-free methods are statistically less efficient than model-based methods​.","A","Yes"]
[null,null,null,"B","No"]
[]
[20,"A","Robots can implement reinforcement learning algorithms to learn how to walk.​","A","Yes"]
[null,null,null,"B","No"]
[]
[21,"B","Reinforcement learning algorithms achieve short-term results.","A","Yes"]
[null,null,null,"B","No"]
[]
[22,"B","Reinforcement learning is preferable to use for solving simple problems.","A","Yes"]
[null,null,null,"B","No"]
[]
["AIT.U2.E3.PC1",null,"Understand the theoretical concepts about recommendation systems."]
[]
["Number","Correct?","Question"]
[]
[1,"B","Recommendation systems…","A","make product or service recommendations to users using statistics and physics."]
[null,null,null,"B","make product or service recommendations to users though the use of data mining techniques and prediction algorithms."]
[null,null,null,"C","make product or service recommendations to users based solely on explicit user ratings."]
[]
[2,"C","Recommendation systems can be cathegorized into","A","two types."]
[null,null,null,"B","three types."]
[null,null,null,"C","four types."]
[null,null,null,"D","five types."]
[]
[3,"A","Collaborative filtering systems are","A","based on item-user interactions."]
[null,null,null,"B","based on explicitly defined set of recommendation rules​."]
[null,null,null,"C","based on characteristic information​."]
[null,null,null,"D","combine the previous types of information in order to avoid problems generated by working with only one type​."]
[]
[4,"A","What is the connection between Machine Learning and recommendation systems?","A","Recommender systems are a classic example of Machine Learning applications."]
[null,null,null,"B","Recommender systems are a subset of Machine Learning and Data Mining."]
[]
["AIT.U2.E3.PC2",null,"Explore different applications and examples of recommendation techniques."]
[]
["Number","Correct?","Question"]
[]
[1,"C","Content based methods can be applied to","A","reccomend items to a specific user according to the item previously wanted by the user"]
[null,null,null,"B","expensive itens, not frquently purchased "]
[null,null,null,"C","recommend items according to the user preferences"]
[]
["Number","Correct?","Question"]
[]
[2,"A","Collaborative Filtering can be applied to ","A","reccomend items to a specific user according to the item previously wanted by the user"]
[null,null,null,"B","expensive itens, not frquently purchased "]
[null,null,null,"C","recommend items according to the user preferences"]
[]
["Number","Correct?","Question"]
[]
[2,"B","Knowledge Based methods can be applied to ","A","reccomend items to a specific user according to the item previously wanted by the user"]
[null,null,null,"B","expensive itens, not frquently purchased "]
[null,null,null,"C","recommend items according to the user preferences"]
[]
["AIT.U2.E3.PC3",null,"The student understands the role of machine learning in recommendation systems.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A","Recommender systems are a classic example of machine learning applications","A","True"]
[null,null,null,"B","False"]
[]
["Number","Correct?","Question"]
[]
[1,"False","Recommendation Systems depend on Machine Learning only to improve its performance","A","True"]
[null,null,null,"B","False"]
[]
["AIT.U3.E1.PC1",null,"The student knows the structure of a biological human neuron as well as the functions of its constituents."]
[]
["Number","Correct?","Question"]
[]
[1,"A","There are three types of neurons, ______ responsible for conducting nerve impulses, _______ responsible for receive stimulus and _____ responsible for guarantee the connection between neurons.​","A","motor neurons, sensory neurons, interneurons"]
[null,null,null,"B","sensory neurons, motor neurons, interneurons"]
[null,null,null,"C","interneurons, sensory neurons, notor neurons"]
[]
["AIT.U3.E1.PC2",null,"The student understands the nature, purpose and applications of an artificial neuron."]
[]
["Number","Correct?","Question"]
[]
[1,"B","Neural networks are based on artificial neurons. They are able to:","A","Learn the relationships between inputs and outputs that are nonlinear and complex​. Although, they cannot model the relationships."]
[null,null,null,"B","Predict rare events, according to there relationships"]
[null,null,null,"C","Reveal hidden relationships even if they don't have patterns or relationships"]
[null,null,null,"D","Model data, if it is no volatile"]
[]
["Number","Correct?","Question"]
[]
[2,null,"Artificial Neurons are highly applicable to the real world. Some examples of application are: ","A"]
[null,null,null,"B"]
[]
["AIT.U3.E1.PC3",null,"The student is able to recognize and understand the similarities between a computational neuron and a human neuron"]
[]
["Number","Correct?","Question"]
[]
[1,"A","Both human and computational neuron use eletrical signals to send messages","A","True"]
[null,null,null,"B","False"]
[]
["Number","Correct?","Question"]
[]
[2,"B","Human neuron and Computational neuron work at a similar speed","A","True"]
[null,null,null,"B","False"]
[]
["Number","Correct?","Question"]
[]
[3,"A","Machines are way less efficient than biological systems. ","A","True"]
[null,null,null,"B","False"]
[]
["AIT.U3.E1.PC4",null,"The student knows the most commonly used activation functions for artificial neurons."]
[]
["Number","Correct?","Question"]
[]
[1,"B","The Activation Functions can be basically divided into 3 types: Linear,Non-linear,Semi-linear","A","True"]
[null,null,null,"B","False"]
[]
["Number","Correct?","Question"]
[]
[2,"B","ReLU activation function can be used generaly. All of the values, under 0, returned become 1","A","True"]
[null,null,null,"B","False"]
[]
["AIT.U3.E2.PC1",null,"The student is able to identify several learning problems."]
[]
["Number","Correct?","Question"]
[]
[1,"A","Supervised, Unsupervised and Semi-Supervised Learning are learning problems.","A","True"]
[null,null,null,"B","False"]
[]
[2,"C","Complete the sentence. The goal of_______is to learn a better prediction rule using all of the available data effectively, not just the labelled​ data like in supervised learning","A","Supervised Learning"]
[null,null,null,"B","Unsupervised Learning"]
[null,null,null,"C","Semi-Supervised Learning"]
[]
["AIT.U3.E2.PC2",null,"The student understands how AI can help solve those problems."]
[]
["Number","Correct?","Question"]
[]
[1,"A","AI helps to grow unsupervised learning?","A","True"]
[null,null,null,"B","False"]
[]
[2,"B","AI allows customizing solutions based on machine learning in all areas.","A","True"]
[null,null,null,"B","False"]
[]
["AIT.U3.E3.PC1",null,"The student is able to define and explain AI concepts and terms like machine learning, deep learning and neural networks."]
[]
["Number","Correct?","Question"]
[]
[1,"A","Complete the sentence. _______ enables systems to learn new things from data​","A","Machine Learning"]
[null,null,null,"B","Artificial Intelligence"]
[null,null,null,"C","Deep Learning"]
[null,null,null,"D","Neural Networks"]
[]
["Number","Correct?","Question"]
[]
[2,"D","Complete the following sentence. The goal of ______ is to lead with the transition data in the form of input and output values through connections​.","A","Machine Learning"]
[null,null,null,"B","Artificial Intelligence"]
[null,null,null,"C","Deep Learning"]
[null,null,null,"D","Neural Networks"]
[]
["Number","Correct?","Question"]
[]
[3,"B","Complete the sentence. The goal of _______ is to simulate natural intelligence to solve complex problems​.","A","Machine Learning"]
[null,null,null,"B","Artificial Intelligence"]
[null,null,null,"C","Deep Learning"]
[null,null,null,"D","Neural Networks"]
[]
["Number","Correct?","Question"]
[]
[4,"A","Complete the sentence. _______ is involved in the creation of self-learning algorithms.","A","Machine Learning"]
[null,null,null,"B","Artificial Intelligence"]
[null,null,null,"C","Deep Learning"]
[null,null,null,"D","Neural Networks"]
[]
["AIT.U3.E3.PC2",null,"The student understands the connection and the differences between artificial intelligence, machine learning and deep learning."]
[]
["Number","Correct?","Question"]
[]
[1,"A","Deep Learning is a subset of machine learning​","A","True"]
[null,null,null,"B","False"]
[]
["Number","Correct?","Question"]
[]
[2,"B","Machine Learning is a component of deep learning process","A","True"]
[null,null,null,"B","False"]
[]
["Number","Correct?","Question"]
[]
[3,"B","Machine Learning pursues the optimal solution while Artificial Intelligence will only come up with a solution that is either optimal or not​","A","True"]
[null,null,null,"B","False"]
[]
["AIT.U3.E3.PC3",null,"The student is able to define and explain what an artificial neural network is."]
[]
["Number","Correct?","Question"]
[1,"B,C","What is an artificial neural network?","A","Neural networks is a single algorithm inspired by the functioning of human brain. ​"]
[null,null,null,"B","Neural Network is an information processing paradigm that is inspired by the biological nervous systems"]
[null,null,null,"C","Artificial neural network consists of three groups, or layers, of units: “input”, “hidden” and “output” units.​"]
[]
["AIT.U3.E3.PC4",null,"The student understands the relationship between deep learning and big data."]
[]
["Number","Correct?","Question"]
[]
[1,"A","Big Data analytics requires new and sophisticated algorithms based on deep learning","A","True"]
[null,null,null,"B","False"]
[]
[2,"B","Deep learning methods are only applied in Big Data","A","True"]
[null,null,null,"B","False"]
[]
["AIT.U3.E4.PC1",null,"The student understands the key parameters in a neural network's architecture."]
[]
["Number","Correct?","Question"]
[]
[1,"C","Mathematically, a network is represented by","A","Input Nodes, Output Nodes, and Backpropagation.​"]
[null,null,null,"B","Hidden Nodes and Activation Functions."]
[null,null,null,"C","Input Nodes, Computing Nodes, Output Nodes, and Edges/Links.​"]
[null,null,null,"D","Input Nodes, Output Nodes, Backpropagation and Activation Functions."]
[]
[2,"A","A simple ANN includes an input layer, a hidden layer and an output layer.​","A","Yes"]
[null,null,null,"B","No"]
[]
["AIT.U3.E4.PC2",null,"The student knows some of the most common neural networks like perceptron, multi-layer perceptron, feed-forward, backpropagation, etc."]
[]
["Number","Correct?","Question"]
[]
[1,"A,B,D","Perceptron is","A","a single layer binary linear classifier."]
[null,null,null,"B","the basic unit of a neural network (an artificial neuron)."]
[null,null,null,"C","allows the distinction between non-linearly separable classes."]
[null,null,null,"D","allows the distinction between linearly separable classes."]
[]
[2,"B","Multi-layer Perceptron is","A","A special case of Recurrent Neural Networks."]
[null,null,null,"B","A special case of Feed-Forward Neural Networks."]
[]
[3,"C","Based on their network topology, ANN’s can be segmented into","A","Perceptron, Feed-Forward and Recurrent Neural Networks​."]
[null,null,null,"B","Feed-Forward, Recurrent and Convolutional Neural Networks​."]
[null,null,null,"C","Feed-Forward, Recurrent, Convolutional, Deconvolutional and Modular Neural Networks​."]
[]
["AIT.U3.E4.PC3",null,"The student understands the main differences between those types of architectures."]
[]
["Number","Correct?","Question"]
[]
[1,"A,C","The main difference between Feed-forward neural networks and Recurrent neural networks is","A","that in the latter ones the output neurons can be connected to their inputs.​"]
[null,null,null,"B","that in the first ones the output neurons can be connected to their inputs.​"]
[null,null,null,"C","that the first does not have cycles, data flows unidirectionally from input to output."]
[null,null,null,"D","that the last does not have cycles, data flows unidirectionally from input to output."]
[]
[2,"C","Deconvolutional Neural Networks ","A","are analogous to Feed-Forward Neural Networks but were designed to deal with the computational complexity required to compute image data.​"]
[null,null,null,"B","perform a convolution model."]
[null,null,null,"C","perform an inverse convolution model."]
[]
[3,"A","Modular Neural Networks are different from the other neural networks because","A","they are a collection of different networks that work independently to solve problems towards the output.​"]
[null,null,null,"B","they are a collection of similar networks that work together to solve problems towards the output."]
[]
["AIT.U3.E4.PC4",null,"The student knows the different use cases of each architecture."]
[]
["Number","Correct?","Question"]
[]
[1,"B","Feed-Forward Neural Networks are used in unsupervised learning tasks.","A","Yes"]
[null,null,null,"B","No"]
[]
[2,"A","Convolutional Neural Networks are the predominant networks for solving computer vision problems.","A","Yes"]
[null,null,null,"B","No"]
[]
[3,"B","Recurrent Neural Networks and Feed-Forward Neural Networks are used to solve time series problems.","A","Yes"]
[null,null,null,"B","No"]
[]
[4,"B","Deconvolutional Neural Networks increase pixel-wise and channel-wise correlations​ to remove the re-learning redundant data that occurs with Convolutional Neural Networks.","A","Yes"]
[null,null,null,"B","No"]
[]
[5,"A","Modular Neural Networks are used in complex tasks such as human recognition and function approximation.","A","Yes"]
[null,null,null,"B","No"]
[]
["AIT.U3.E4.PC5",null,"The student is able to critically select the architecture that best fits a specific problem or situation."]
[]
["Number","Correct?","Question"]
[]
[1,"C,D","The following ANNS are more suited for image-focused tasks","A","Feed-Forward Neural Networks."]
[null,null,null,"B","Recurrent Neural Networks."]
[null,null,null,"C","Convolutional Neural Networks."]
[null,null,null,"D","Deconvolutional Neural Networks."]
[null,null,null,"E","Modular Neural Networks."]
[]
[2,"B","The following ANNs are commonly used for Sequence Prediction Problems","A","Feed-Forward Neural Networks."]
[null,null,null,"B","Recurrent Neural Networks."]
[null,null,null,"C","Convolutional Neural Networks."]
[null,null,null,"D","Deconvolutional Neural Networks."]
[null,null,null,"E","Modular Neural Networks."]
[]
[3,"A","Which ANNs aren't adequate for sequential or time-dependent data?","A","Feed-Forward Neural Networks."]
[null,null,null,"B","Recurrent Neural Networks."]
[null,null,null,"C","Convolutional Neural Networks."]
[null,null,null,"D","Deconvolutional Neural Networks."]
[null,null,null,"E","Modular Neural Networks."]
[]
["AIT.U3.E5.PC1",null,"The student is able to define CNN and RNN."]
[]
["Number","Correct?","Question"]
[]
[1,"A,B","Recurrent Neural Network is ...","A","commonly used in speech recognition"]
[null,null,null,"B","commonly used in natural language processing"]
[null,null,null,"C","is a class of deep learning"]
[null,null,null,"D","commonly used in image processing"]
[]
["Number","Correct?","Question"]
[]
[2,"C","A convolutional neural network (CNN) is ….​","A","Designed to take advantage of a picture (3D)​"]
[null,null,null,"B","Very used in computer vision, specially in text correction;"]
[null,null,null,"C","Excellent in sequent data analysis "]
[null,null,null,"D","A type of neural network that contains loops so that information can be stored in the network"]
[]
["AIT.U3.E5.PC2",null,"The student understands the differences between CNNs and RNNs."]
[]
["Number","Correct?","Question"]
[]
[1,"B","It is suitable for spatial data such as images.​","A","RNN"]
[null,null,null,"B","CNN"]
[]
["Number","Correct?","Question"]
[]
[2,"B","Uses connectivity pattern between the neurons. ​","A","RNN"]
[null,null,null,"B","CNN"]
[]
["Number","Correct?","Question"]
[]
[3,"A","Can handle arbitrary input/output lengths.​","A","RNN"]
[null,null,null,"B","CNN"]
[]
["Number","Correct?","Question"]
[]
[4,"B","Ideal for images and video processing.​","A","RNN"]
[null,null,null,"B","CNN"]
[]
["Number","Correct?","Question"]
[]
[5,"A","Ideal for text and speech analysis.​","A","RNN"]
[null,null,null,"B","CNN"]
[]
["AIT.U3.E5.PC3",null,"The student knows the different use cases of CNNs and RNNs."]
[]
["Number","Correct?","Question"]
[1,"B","CNN use cases include_ Ad Fraud, Spam Detection, Bot Detection​","A","True"]
[null,null,null,"B","False"]
[]
["Number","Correct?","Question"]
[]
[2,"A","RNN use cases include: Speech-to-text applications​, Stock Price Forecasting​ and Market Research","A","True"]
[null,null,null,"B","False"]
[]
["AIT.U3.E5.PC4",null,"The student is able to select the architecture that best fits a specific problem or situation."]
[]
["Number","Correct?","Question"]
[]
[1,"B","What is suitable for spatial data, such as images?","A","RNN"]
[null,null,null,"B","CNN"]
[]
[2,"A","Training an____ is a very difficult task. ","A","RNN"]
[null,null,null,"B","CNN"]
[]
["AIT.U3.E5.PC5",null,"The student is able to implement RNN and CNN with TensorFlow."]
[]
["Number","Correct?","Question"]
[]
[1,"D","Which step, you define the train and test set?","A","Import the require modules"]
[null,null,null,"B","Import the data"]
[null,null,null,"C","Analyse the data"]
[null,null,null,"D","Data Preprocessing"]
[null,null,null,"E","Define the Deep Learning Network"]
[]
["AIT.U3.E6.PC1",null,"The student knows that there are other artificial neural networks architectures."]
[]
["Number","Correct?","Question"]
[]
[1,"A","GENERATIVE ADVERSARIAL NETWORKS (GAN)​ is considered an artificial neural networks architecture?","A","True"]
[null,null,null,"B","False"]
[]
[]
["AIT.U3.E6.PC2",null,"The student understands the most commonly used advanced architectures and their particularities."]
[]
["Number","Correct?","Question"]
[]
[1,"A","Generative Adversarial Networks are great learning in situations where there are many possible correct answers.","A","True"]
[null,null,null,"B","False"]
[]
[]
["AIT.U3.E6.PC3",null,"The student is able to explore and understand some examples of the application of advanced ANN architectures."]
[]
["Number","Correct?","Question"]
[]
[1,"B","Video games are an example of application from ____.","A","Stochastic Neural Networks"]
[null,null,null,"B","Generative Adversarial Networks"]
[null,null,null,"C","Variational Autoencoders"]
[]
[]
["AIT.U3.E7.PC1",null,"The student knows different application domains of deep learning."]
[]
["Number","Correct?","Question"]
[]
[1,"A,B,C","What are the domains of deep learning?","A","Healthcare, Marketing and Military"]
[null,null,null,"B","Education and Finance"]
[null,null,null,"C","Retail"]
[]
["AIT.U3.E7.PC2",null,"The student is able to explore and analyse several examples and applications of deep learning."]
[]
["Number","Correct?","Question"]
[]
[1,"A","Is cybersecurity an example of deep learning applications in the military?","A","Yes"]
[null,null,null,"B","No"]
[]
["AIT.U3.E7.PC3",null,"The student understands the challenges surrounding deep learning approaches."]
[]
["Number","Correct?","Question"]
[]
[1,"A,B","What are the challenges in deep learning applications in Healthcare? ","A","Data Volume"]
[null,null,null,"B","Data Quality"]
[null,null,null,"C","Transparency"]
[]
[2,"A,C","What are the challenges in deep learning applications in Education? ","A","Transparency"]
[null,null,null,"B","Flexibility"]
[null,null,null,"C","Required quality inclusive systems"]
[]
["AIT.U3.E7.PC4",null,"The student is able to identify the ingredients required to start a deep learning project."]
[]
["Number","Correct?","Question"]
[]
[1,"A,B,C","What are the requirements to start a deep learning project?","A","Collect the Data"]
[null,null,null,"B","Define the Objective"]
[null,null,null,"C","Time"]
[null,null,null,"D","Define the Risk"]
[]
["AIT.U3.E7.PC5",null,"The student is able to train a deep neural network."]
[]
["Number","Correct?","Question"]
[]
[1,"A","Is predict the output part of train a deep neural network?","A","True"]
[null,null,null,"B","False"]
[]
["AIT.U3.E7.PC6",null,"The student knows how to deploy deep neural networks into applications."]
[]
["Number","Correct?","Question"]
[]
[1,"A","Are Cloud deployment and Edge deployment two examples of a deploy deep neural networks into applications?","A","Yes"]
[null,null,null,"B","No"]
[]
["AIT.U3.E7.PC7",null,"The student is able to identify techniques for improving the performance of deep learning applications."]
[]
["Number","Correct?","Question"]
[]
[1,"A,B,C","What techniques improve the performance of deep learning?","A","Algorithm "]
[null,null,null,"B","Ensembles "]
[null,null,null,"C","Data"]
[]
[]
["AIT.U3.E7.PC8",null,"The student recognizes the challenges and the importance of deep learning."]
[]
["Number","Correct?","Question"]
[]
[1,"A","Is the purpose of training a model is to progressively improve the model's ability to make a prediction?","A","True"]
[null,null,null,"B","False"]
[]
[]
["AIT.U3.E8.PC1",null,"The student is able to reflect on and analyse the future trends for artificial intelligence."]
[]
["Number","Correct?","Question"]
[]
[1,"B","Nowadays, computer systems","A","reflect true Artificial Intelligence."]
[null,null,null,"B","have some degree of Artificial Intelligence."]
[null,null,null,"C","do not have Artificial Intelligence."]
[]
[2,"A,C","One way of furthering Artificial Intelligence is to","A","build computer systems grounded in reality."]
[null,null,null,"B","build computer systems that can recognize patterns and relationships."]
[null,null,null,"C","build computer systems based on the human neocortex functioning. "]
[]
["AIT.U3.E8.PC2",null,"The student understands and knows how to define machine intelligence."]
[]
["Number","Correct?","Question"]
[]
[1,"A,D,E","What is Machine Intelligence?","A","Machine Intelligence is grounded in reality."]
[null,null,null,"B","Machine Intelligence is a method of storing and transmitting data."]
[null,null,null,"C","Machine Intelligence uses statistical methods to enable machines to learn and improve with experience.​"]
[null,null,null,"D","Machine Intelligence is a starting point on the path to accomplish true AI.​"]
[null,null,null,"E","Machine Intelligence is the result of programming machines with some aspects of human intelligence, such as learning, problem solving, and prioritization.​"]
[]
[2,"B","Machine Intelligence","A","is a different term to refer to Artificial Intelligence."]
[null,null,null,"B","can be seen as a higher evolution of Machine Learning."]
[null,null,null,"C","is the opposite of Deep Learning."]
[]
["AIT.U3.E8.PC3",null,"The student understands the HTM approach for unsupervised learning."]
[]
["Number","Correct?","Question"]
[]
[1,"A,B,C","The HTM theory","A","can be placed in the area of Machine Intelligence.​"]
[null,null,null,"B","was born from the idea of creating a true Artificial Intelligence.​"]
[null,null,null,"C","is based on the functioning of the human neocortex."]
[]
[2,"C","The HTM theory is built based on the following neocortical features","A","it is a storage system generating temporal patterns with the output given, and its regions are organized in a hierarchical structure.​"]
[null,null,null,"B","it is a data capturing system that generates hierarchical patterns with the input given.​"]
[null,null,null,"C","it is a memory system generating temporal patterns with the input given, and its regions are organized in a hierarchical structure.​"]
[]
[3,"A,C,D","In the HTM approach","A","the network gradually and continuously adapts to new input​."]
[null,null,null,"B","batches of new inputs for new training sessions are required, in order to keep up with new data."]
[null,null,null,"C","a continuous learning process is implemented. "]
[null,null,null,"D","an on-line learning process is implemented."]
[]
["AIT.U3.E8.PC4",null,"The student is able to compare the different neuron models."]
[]
["Number","Correct?","Question"]
[]
[1,"B,C,E","In the HTM ","A","all the neurons are trained to meet a global objective function​."]
[null,null,null,"B","the learning rules are local to each neuron in both space and time."]
[null,null,null,"C","the neurons do no need to meet the same global objective function."]
[null,null,null,"D","dense layers of neurons are used."]
[null,null,null,"E","sparse distributions are used."]
[]
[2,"C","An HTM neuron ","A","has few synapses but contains active dendrites."]
[null,null,null,"B","has few synapses and do not contain active dendrites."]
[null,null,null,"C","has thousands of synapses and contains active dendrites."]
[null,null,null,"D","has thousands of synapses but do not contain active dendrites."]
[]
[3,"A","An ANN-neuron","A","has fewer synapses than an HTM neuron."]
[null,null,null,"B","has more dendrites than an HTM neuron."]
[]
["AIT.U3.E8.PC5",null,"The student is able to analyse and understand the applications of HTM."]
[]
["Number","Correct?","Question"]
[]
[1,"B","One of the main advantages for applying HTM is","A","its ability to make accurate predictions using few data."]
[null,null,null,"B","the fact that this approach is extremely robust, being able to deal with noise and faults."]
[null,null,null,"C","its ability to execute feature engineering by itself."]
[]
[2,"A","HTM applications are typically centered on Anomaly Detection.","A","Yes"]
[null,null,null,"B","No"]