Cognitive Systems - Ανοικτό Πανεπιστήμιο Κύπρου - Open University of Cyprus

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06
Τρι, Δεκ
Δευτέρα, 21 Οκτωβρίου 2019 10:06

COS624: Topics in Data Science

The broad availability of data in every aspect of life has created an unprecedented interest in methods for extracting useful information and knowledge from data, which is the realm of Data Science. Data Science is a very hot and very active subject in the curricula of both graduate and undergraduate studies in Universities and Colleges throughout the world these days. Even though it is not a genuinely new domain of study per se, just recently acquired a new potential to rejuvenate and homogenize some more traditional domains of study with roots in intelligence, cognition and learning like Data Mining, Machine Learning, Knowledge Discovery in Databases, Pattern Recognition etc. In this course we will delve into the foundations and principles that underlie the techniques for extracting useful knowledge from data and we will illustrate each of these concepts with one or more data mining techniques that embodies these principles. One of the primary goals of this module is to help the students view real life problems from a data perspective and learn to apply a data analytic way in solving these problems systematically. This data analytic thinking will enable prospective data science professionals to develop intuition as to how and where to apply creativity and domain knowledge to the analysis of relevant problems. Hands on knowledge and experience will be acquired in this course through the exposure to various programming assignments and projects.

Πρόγραμμα Σπουδών: Cognitive Systems
Δευτέρα, 21 Οκτωβρίου 2019 10:05

COS623: Cognitive System Design (CS, Systems)

This course covers the methodology of designing cognitive systems through a historical overview of the field, the review of cognitive architectures, and the hands-on experimentation with cognitive architecture platforms. It considers the environment within which the system will operate, and discusses how to represent the salient features of that environment. It continues to investigate how the cognitive system interacts with the environment, specifying the characteristics of the sensors and actuators of the system. It investigates how to represent information internally in the system, and how to analyze the characteristics that this representation should have in terms of accessibility, scalability, persistence of the information. It then examines the processes internal to cognitive system that operate on the information, and analyzes the processes of learning and reasoning in terms of their desired behaviors, the guarantees they should offer, and their interaction. It concludes by considering ways to evaluate the performance of a cognitive system, and the process of error analysis for debugging and improving its performance.
Πρόγραμμα Σπουδών: Cognitive Systems
Δευτέρα, 21 Οκτωβρίου 2019 10:04

COS622: Cognitive Neuroscience (CP, Systems)

The course examines the neural processes that underlie cognitive functions, such as attention, perception, and memory. It introduces basic neuroanatomy and modern methods and techniques (e.g., functional imaging, electrophysiology) that are used by scientists to draw inferences about cognition in the normal and abnormal brain.
Πρόγραμμα Σπουδών: Cognitive Systems
Δευτέρα, 21 Οκτωβρίου 2019 10:03

COS621: Experimental Psychology (CP, Systems)

This course will provide students with theoretical knowledge and practical skills for designing computerized experiments for behavioral research. The course will start by providing an in-depth analysis of experimental methodology and design. It will then proceed to provide students, by means of assignments, with hands-on experience in designing experiments, collecting data from human participants, analyzing and reporting the data, and interpreting statistical results. Through this course students are expected to acquire all the necessary knowledge on how to investigate scientifically research questions of interest.
Πρόγραμμα Σπουδών: Cognitive Systems
Δευτέρα, 21 Οκτωβρίου 2019 10:02

COS614: Adaptive and Interactive Systems (CS, Reasoning)

This interdisciplinary course aims to underline the importance of incorporating human factors in the design and development of adaptive interaction systems. Incorporating cognitive and emotional human factors into adaptive applications and processes enhances the user experience, usability and satisfaction while users interacting with hypermedia environments. Main thematic areas emphasize upon the convergence of psychological theories and contemporary research on computer-mediated information processing. It will initially cover topics in the field of cognitive psychology, to the extent that there is an analogy with hypermedia information; on psychological issues with regards to the role of cognitive processing and emotions on information assimilation and learning performance capabilities; on emotional intelligence within the context of Web-based interaction, etc. At a second level, topics on personalization; adaptivity; user modelling; multi-modal interactions; task and user analysis; (adaptive) user interface design principles; user interface evaluation and usability testing; will be covered, to support the adaptation issue in various application levels.
Πρόγραμμα Σπουδών: Cognitive Systems
Δευτέρα, 21 Οκτωβρίου 2019 10:01

COS613: Cognitive Agents and Reasoning (CS, Reasoning)

This course studies the development of cognitive agents with computational models of argumentation as the underlying foundation for cognitive human reasoning. It brings together elements from argumentation theory in AI with cognitive psychology of reasoning to study a new form of symbolic representation and reasoning that reflects cognitive reasoning processes in humans, which leads to a new style of cognitive programming for cognitive systems. Specific elements that are covered include: The logical nature of human reasoning — argumentative decision making. Argumentation theory and Argumentation Logic in CS. Conditional human logic and argumentation logic. Cognitive reasoning about actions and change. Cognitive Knowledge Representation of common sense world knowledge and Cognitive Programming. Explanation, justification and persuasion through human-system argumentative dialogues. Argumentation-based agent architectures for adaptive agents. Application of cognitive agents to personalized and adaptive recommender systems and to elements of story comprehension.
Πρόγραμμα Σπουδών: Cognitive Systems
Δευτέρα, 21 Οκτωβρίου 2019 09:55

COS524: Natural Language Processing (CS, Perception)

The course presents basic notions from natural language processing, and uses existing tools to demonstrate how structured information can be extracted from natural language text, and how learning and reasoning can be applied on it. The course will present linguistic and statistical approaches for the different aspects of syntax, semantics and pragmatics of natural language. Algorithms and modern systems that address computational these issues will be studied. The distributional semantics approach to computational linguistics and its relevance to cognition will be presented. The link of natural language processing to the cognitive process of narrative text comprehension will be examined.
Πρόγραμμα Σπουδών: Cognitive Systems
Δευτέρα, 21 Οκτωβρίου 2019 09:54

COS523: Human Perception and Attention (CP, Perception)

This course follows-up CP.F1 to provide an in-depth analysis of the cognitive mechanisms of perception and attention. Through the coursework students will learn about different aspects of perception (e.g., perceptual organization, pattern recognition, depth perception) and the various functions and forms of attention (e.g., selective attention, divided attention, sustained attention, visual search). The course will also discuss the neural underpinnings of the two mechanisms as well as various attentional/perceptual disorders and syndromes (e.g., ADHD, visual neglect, different forms of visual agnosia). The importance of attention/perception research for various applications of computer science, engineering, and robotics will be highlighted throughout the course.
Πρόγραμμα Σπουδών: Cognitive Systems
Δευτέρα, 21 Οκτωβρίου 2019 09:53

COS522: Learning and Memory in Humans (CP, Learning)

The course focuses on basic conceptualizations and processes of memory and learning. It discusses the contrast between storage and constructionist accounts of memory and its implications for the processes of encoding, retention, retrieval, and forgetting. Types of memory (short-term, long-term, procedural, episodic, semantic), with special emphasis on competing working memory accounts, are presented. Principles of memory (assimilation, encoding specificity, and levels of processing) and memory processes are discussed in relation to learning mechanisms and outcomes. Finally, the distinction between implicit and explicit learning and their implications for conceptual and procedural knowledge acquisition and restructuring (updating, revising) are discussed.
Πρόγραμμα Σπουδών: Cognitive Systems
Δευτέρα, 21 Οκτωβρίου 2019 09:52

COS521: Cognitive Knowledge Acquisition (CS, Learning)

This course presents basic frameworks of learning, offering the theoretical underpinning for the development of machine learning algorithms, with an emphasis on the development of naturalistic solutions for the acquisition of symbolically-represented cognitive knowledge. It  examines learning in the limit, the mistake-bounded model of online learning, active learning with queries, and the probably approximately correct model of batch learning. It then discusses learnability in the presence of missing or corrupted information. An effort is made to connect the formal properties of these models to real world situations, and examine the extent to which these properties capture or reflect some aspects of human learning. The relation of learning to the processes of perception and reasoning is also discussed, as well as the relation of learning to other natural processes, including the process of evolution.
Πρόγραμμα Σπουδών: Cognitive Systems
Δευτέρα, 21 Οκτωβρίου 2019 09:50

COS514: Computational Neuroscience (CS, Foundations)

Neuroinformatics or Computational Neuroscience is an emerging and dynamically developing field aiming to elucidate the principles of information processing by the nervous systems as well as applying information technology to the processing of neuroscientific data. This course aims to develop and apply computational methods for studying brain and behavior as well as understanding the dynamics of the conscious mind. The course will cover: Introduction to Neuroinformatics; basic neurobiology: from the brain to single neurons; biophysics of single neurons; synapses; dendrites and axons. Conductance-based neuron models: the generation of action potentials and the Hodgkin and Huxley equations. Dendritic trees, the propagation of action potentials, cable theory, compartmental models. Modelling synapses. Spiking neuron models and response variability: leaky integrator and integrate-and-fire type neuron models, spike time variability. Current topics in Computational Neuroscience including (a) understanding of the neural code (b) Synaptic Plasticity. Bottom-up/top-down modeling of the brain: modeling of self-control behavior as an example of top-down modeling. Modelling consciousness. Applications of Neuroinformatics; Neuroinformatics vs Bioinformatics.
Πρόγραμμα Σπουδών: Cognitive Systems
Δευτέρα, 21 Οκτωβρίου 2019 09:49

COS513: Computational Intelligent Systems (CS, Foundations)

This course provides a global overview of Computational Intelligence Systems, and their applications in understanding various aspects of cognition and the operation of the mind. The study of the brain from the computer scientists’ perspective will be emphasized by providing an in depth analysis of the methodology and basic concepts on how to model cognition and how to develop intelligent computer systems that try to mimic the way a human brain works. The theoretical framework of Computational Intelligence algorithms and techniques such as Artificial Neural Networks, Genetic Algorithms and Fuzzy logic will be covered together with hands on experience in the development and implementation of Computational Intelligence Systems.
 
Πρόγραμμα Σπουδών: Cognitive Systems
Δευτέρα, 21 Οκτωβρίου 2019 09:48

COS512: Introduction to Artificial Intelligence (CS, Foundations)

The course covers fundamental notions from Artificial Intelligence, as a basis for subsequent courses. It introduces the notion of an autonomous agent, and presents basic architectures, elaborating on the role of perception, learning, and reasoning in these architectures. It discusses formal logics such as the Propositional and Predicate Calculi and other non-monotonic logics as a tool for representing cognitive (or common sense) knowledge in a symbolic form. It will also cover temporal aspects of reasoning through the presentation of simple languages for reasoning about actions and change. It then discusses learning as a process of induction from past experiences, and presents simple frameworks (such as learning in the limit) that formalize this and learning tools that can be developed according to this theory to help us acquire automatically common sense knowledge. The course will also introduce some preliminary aspects of natural language processing.

Πρόγραμμα Σπουδών: Cognitive Systems
Δευτέρα, 21 Οκτωβρίου 2019 09:46

COS511: Introduction to Cognitive Psychology (CP, Foundations)

The course aims at providing an overview of the basic areas of research in the main sub-fields of Cognitive Psychology. Specifically, through the course students will acquire knowledge about the main theories and the most important empirical findings related to perception, attention, memory, mental imagery and knowledge representation, problem solving, and decision-making. Emphasis will be placed on discussing the links between Cognitive Psychology and related fields such as Cognitive and Computational Neuroscience. The course will also provide an introduction to the methods and procedures that are commonly used to study the mechanisms of cognition.
Πρόγραμμα Σπουδών: Cognitive Systems