EDUCATIONAL REGULATIONS OF THE MASTER S DEGREE COURSE IN COGNITIVE SCIENCE

EDUCATIONAL REGULATIONS OF THE MASTER S DEGREE COURSE IN COGNITIVE SCIENCE

CONTENTS Title I - Establishment and start-up... 3 Art. 1 General information... 3 Art. 2 - Initiatives for quality assurance... 3 Title II - Educational objectives and expected results... 3 Art. 3 - Educational objectives and employment opportunities... 3 Title III - Knowledge verified upon entrance and number of enrolees... 5 Art. 4 Access at the national/local level... 5 Art. 5 - Knowledge required for access and verification of the initial preparation... 5 Art. 6 Transfers upon admission and number of students enrolled... 6 Title IV - Educational organization and provision of the programme... 6 Art. 7 Curricula, programme and registration forms... 6 Art. 8 Enrolment in course years... 7 Art. 9 Curricula... 7 Art. 10 Attendance requirements and tutoring... 8 Art. 11 Obtaining the degree... 8 Title V Final and transitory provisions... 9 Art. 13 Amendments, entry into force and validity of this Regulation... 9 Annex 1 - Educational activities included in the curriculum... 10 Page 2 of 15

Title I - Establishment and start-up Art. 1 General information The Master s degree in Cognitive Science, offered with effect from academic year 2009/10 by inclusion in the Educational Offer database, belongs to class LM-55 Cognitive Science (Ministerial Decree No. 270 dated 22 October 2004 and Ministerial Decree dated 16 March 2007). The facility responsible for the course of study is the Center for Mind/Brain Sciences (Centro Interdipartimentale Mente/Cervello - CIMeC); the professor in charge of the course, appointed by the Director of the Center, and the venue of the activities are published on the course website: http://www.unitn.it/cimec/31081/corso-di-laurea-magistrale-in-scienze-cognitive. This regulation is drafted in accordance to the 2011 University Order and shall enter into force with effect from academic year 2014/2015. Art. 2 - Initiatives for quality assurance The Master s Degree in Cognitive Science is subjected annually to various forms of quality evaluation for the activities carried out, as indicated in art. 15 of the University Educational Regulations issued with Regional Decree No. 461 dd. 27.08.2013. Within CIMeC a Joint Committee for education has been established, which is formed by three professors and three students. The Joint Committee conducts monitoring of the offer and the quality of teaching, as well as of the student service activities carried out by professors and researchers, and draws up an annual report on the status and quality of the activity, in accordance with the provisions of art. 15, para. 1 of the University Educational Regulations issued with Regional Decree No. 461 dd. 27.08.2013. Within CIMeC a Review Group has also been established, which draws up the annual review report for the Master's degree in Cognitive Science, in accordance with the provisions of art. 15 of the University Educational Regulations issued with Regional Decree No. 461 dd. 27.08.2013. This report is an integral part of the Quality Assurance System of the activities; it is a periodic and scheduled process that aims to verify the adequacy of the learning objectives offered by the course of study, the correspondence between the objectives and the results, and the effectiveness of the way in which the course is maintained. It also includes the search for causes of any unsatisfactory results, in order to take all necessary corrective and improvement measures. Title II - Educational objectives and expected results Art. 3 - Educational objectives and employment opportunities 3.1 Specific goals of the course The Master s degree course in Cognitive Science is aimed at the acquisition of advanced theoretical and methodological knowledge in cognitive science through an interdisciplinary approach to the study of the mind-brain system and of human-machine interaction. The perspective adopted is that of the interdisciplinary approach, which integrates the biological, technological and cognitive approaches in order to allow a better understanding of human action, focusing the intervention and other activities mainly on cognitive neuropsychology and on the ergonomic aspects of human-machine interaction. The curriculum is characterized by training experiences and significant research activities at highly qualified laboratories, both in the field of brain-imaging (fmri, EEG, TMS, etc.) and in the field of multimodal interaction (cognitive interfaces, multimedia, etc.), also in order to achieve the implementation of the skills acquired, with Page 3 of 15

internships scheduled at external facilities. We also offer students the opportunity to attend training courses abroad as part of international exchange programmes and of numerous collaborations with foreign universities. The assessment of the competences acquired will take into consideration both the theoretical knowledge and the practical skills acquired by students, also in the context of integrated courses across multiple disciplines. 3.2. Expected learning results Knowledge and understanding The graduates will acquire theoretical and practical knowledge and skills with regard to: - the interdisciplinary approach to the study of the mind and of the behaviour of organisms; - the development - both physiological and pathological - of the mind-brain system; - the study of language both from a scientific (linguistic, psychological and neuro-scientific) and technological (language treatment techniques) point of view; - multimodal communication between humans and between humans and computers, with emphasis on both the integration of verbal and non-verbal (e.g. vision) information and the designing of interfaces that use these methods. The achievement of these aims will be verified through proficiency exams relating to each course of the undergraduate degree and the approval of activities carried out in the laboratories. Applying knowledge and understanding This course provides skills aimed at dealing in a productive way, adopting a problem-solving perspective, with the areas of application of cognitive science, in particular: - the ability to conduct basic and applied research independently within the cognitive sciences; - the ability to analyse the pathological aspects of mental processes. - the ability to design models and interventions for the reorganization of human-computer interfaces based on neuro-cognitive data. The ability to apply the knowledge acquired is verified through proficiency exams related to the relevant courses, the evaluation of the laboratory activities, the final evaluation of the internship, as well as the individual work carried out by the student under the guidance of a professor for the preparation and drafting of the final exam (i.e., thesis defense). Making judgements This course provides conceptual and practical tools for integrating knowledge from different fields concerning the mindbrain system and helping to formulate hypotheses and empirical investigations in the fields of cognitive science. These skills are assessed through the ability to present and critically evaluate the different theoretical positions related to the specific subjects treated during the course and final exams. For example, students are required to make a critical review of the literature as part of their thesis, and several courses require essays (and short-answer questions) where students are explicitly asked to evaluate articles and scientific theories. In addition, students are invited to numerous research seminars, journal clubs and working groups within the organized research laboratories at CIMeC - all occasions for a deepening of their critical thought. Communication skills At the end of the course, graduates in Cognitive Science will be able to communicate their findings and conclusions to an audience of specialists and non-specialists in a clear and detailed manners. The achievement of such communication skills is verified through the proficiency exams, the seminars with active participation of students and the discussion of the final work. Page 4 of 15

Learning skills The course of study provides the learning and meta-cognitive skills necessary for acquiring in a largely autonomous way - further knowledge that will prove useful both for subsequent studies and in one s professional role. The acquisition of such skills is verified through the evaluation of the laboratory activities, the final evaluation of the internship, as well as the individual work carried out by the student under the guidance of a professor for the preparation and drafting of the thesis. 3.3. Employment and professional opportunities Graduates will be able to apply advanced skills in cognitive science using computational, observational and experimental methodologies in the study of the mind-brain system and human-machine interfaces. The course of study will also allow students to conduct research activities as part of the analysis and development of systems related to human cognitive performance, advanced design of interfaces and ergonomic systems based on neuro-cognitive data, conducting empirical research and the development of neural and computational models of cognition. They can perform these tasks as independent professionals or also as consultants at public and private entities. The course prepares students for the profession of Researchers, graduate technicians and similar professions (2.6.2.0 ISTAT classification). Title III - Knowledge verified upon entrance and number of enrolees Art. 4 Access at the national/local level CIMeC annually sets a maximum number of students eligible for the course of study. To this end, it annually holds a public selection that specifies the times and procedure of the evaluation, carried out by a Special Committee. Art. 5 - Knowledge required for access and verification of the initial preparation Access to the Master s degree in Cognitive Science is subject to verification of the following requirements, the possession of which is a necessary condition for registration: a. curricular requirements: be in possession of a Bachelor's degree, obtained from Italian universities or other qualification obtained abroad and recognised as sufficient; have a command of the English language and certified computer skills; b. Specific preparation requisites: demonstrate a good ability to analyse cognitive science issues; demonstrate good ability to address methodological-quantitative issues; demonstrate good ability to read research data within the context of the mind-brain and technology fields. These skills generally include the equivalent of at least 50 ECTS credits for teachings that belong to the five disciplines characterizing cognitive sciences. Admission to the Master's degree in Cognitive Science is supervised by an Admission committee, appointed annually by the Director after consulting the professor in charge of the course of study. The deadline for submitting applications for admission (submission deadline) is established annually in the period between March and April by the Director of CIMeC after consulting the professor in charge of the course of study. Other deadlines can be established, subsequent to the first (extended deadline). Applications received at the first deadline shall be assessed on a priority basis. The assessment of candidates is based on their level of knowledge and skills as listed above. The possession of the requisites for admission is also verified on the basis of the evaluation of: Page 5 of 15

curriculum vitae e studiorum; statement of motivation; presentation letters. The assessment of the candidates' curricula envisages the assignment of a score for the following items: - the disciplinary scope of the first-level degree and the relevant assessment (related to the distribution of grades/marks in the specific institution and/or school system); - additional training courses attended by the candidate; - type and duration of previous professional experiences. Each candidate must demonstrate his/her motivation and his/her goals, which are assigned a specific weight in the evaluation upon admission. The evaluation is carried out by the Admission Committee. The evaluation of the above elements is also based on the submission of attestations by third parties (reference letters). Art. 6 Transfers upon admission and number of students enrolled Students from courses of study of the same class are guaranteed the recognition of at least 50% of the ECTS credits previously acquired in the same disciplinary scientific sector. In the case of ECTS credits acquired 6 years earlier than the one in which admission to the course of study is requested, the non-obsolescence of the content will be evaluated. Evaluation of eligible credits will be carried out by a special Committee, appointed by the Council of the Centre, on the basis of the teaching programmes presented and of the number and type of approved credits. Title IV - Educational organization and provision of the programme Art. 7 Curricula, programme and registration forms The Master s degree course is divided into two tracks leading to the acquisition of basic and specialist skills in Cognitive Neuroscience (Cognitive Neuroscience track) and in the framework of language technology and development of human-computer interfaces (Language and Multimodal Interaction track). Both courses are characterized by internships and significant research activities. The course of study aims to attract students from other countries and to prepare Italian students for an international exchange. Therefore, the course will be entirely in English and will see a significant presence of teachers from foreign institutions that are based at CIMeC. The integrated study of the mind/brain system has assumed an increasingly important role in the lives of individuals and organizations, with important consequences, both technological and scientific. The Cognitive Neuroscience track is aimed at the acquisition of advanced theoretical and methodological knowledge in the field of cognitive neuroscience. The perspective taken in this track is the interdisciplinary approach to the study of the brain that integrates biological and cognitive approaches, in order to allow a better understanding of the human mind and of mental abilities. Students will be provided knowledge on psychological and neuro-biological underpinnings of mental mechanisms, in order to provide a conceptual framework and functional technical skills to be spent in the workplace. The theoretical lessons and thematic studies will be augmented by workshops and by a internship period to be carried out within research labs. The Language and Multimodal Interaction track has as its main objective the training of graduates with advanced knowledge and experience in the field of science and technology of language and of the development of interfaces. This track, too, adopts a highly interdisciplinary perspective, integrating computational methods in particular, the use of machine learning techniques and treatment of large amounts of data with psychological and neuro-scientific experimental methods and with theoretical linguistics. Page 6 of 15

The path includes classroom lessons and seminars aimed at acquiring basic knowledge in the areas of language technology, development of multimodal interfaces, linguistics, psychology and neuroscience. The effort required of the student for each activity is measured in ECTS (European Credit Transfer and Accumulation System), shortly credits. An ECTS credit corresponds to about 25 total hours required of the student, including those dedicated to individual study. For activities that involve teaching courses, each credit typically involves 6 credit hours of classroom teaching, unless otherwise laid down in the manifesto of studies. The schedule of courses is structured in semesters and verification of these activities is carried out in the form of examinations, consisting of oral and/or written tests, or of project presentations. The schedule of examinations involves two types of tests: - end-of-course tests, supplemented where appropriate by one or more intermediate tests held during the lessons; - exams in periods following the end of the lessons (recovery sessions); these tests can be taken by students who have not taken or passed the end-of-course test. Each year there are at least two recovery sessions held in different periods than the ones reserved for end-of-course tests. For each activity, the annual total number of calls will be at least three (a call in January-February, a call in June-July, a call in August-September). The professor in charge, upon the Director's consent, must communicate clearly within the Syllabus any restrictions/constraints for participation in the exam calls. Exam scores are expressed in thirtieths with possibility of cum laude or, alternatively, with a grade of "approved" or "rejected". The procedure for taking the tests for each teaching is described in the Syllabi. For each exam or test, the structure identifies a professor responsible for the evaluation procedure, which guarantees its proper implementation. The recording and reporting procedure for the outcome of the exam may take place entirely online. Art. 8 Enrolment in course years The course year of the individual activities is shown in annex 1. In some cases, successfully passing the exams of an advanced course may require the prior passing of exams of preparatory activities listed in annex 1. In accordance with what was established by the University Educational Regulation, the student who does not acquire at least 30 credits foreseen by the entire programme within two years loses his/her student status. The student who does not pass at least one exam within three calendar years likewise loses his/her student status. Art. 9 Curricula For the choice of compulsory courses and elective courses, students are offered, with the assistance of an appropriate computer system accessible on the university website, a service of assistance to the formation of the curriculum, which will be automatically approved in the case of compliance with pre-established rules proposed to the student during compilation. The student can present a personalized curriculum that is not constrained to the pre-established rules and is subject to approval by the responsible teaching structure, but which must comply with the constraints established in the Educational System. Page 7 of 15

Art. 10 Attendance requirements and tutoring 10.1 Attendance requirements Attendance is required for internships, which may include: - tutorial sessions that prepare the student to the work experience; - exercises and simulations in which students develop technical and relational skills and methodologies in a protected situation before or during experimentation in real-world contexts; - direct experience on the field under supervision; - tutorial sessions and constant feedback. Internship experiences must be designed, evaluated and documented in the student's programme. Any additional attendance requirement in specific activities will be indicated in the manifesto of studies. 10.2 Tutoring Tutoring activities are designed for all those who might be interested to enrol in the Master s degree and for students already enrolled. The tutoring sessions rely on different, coordinated skills. The administrative offices, in particular the Student Care Office and Educational Care Office of the Hub of Rovereto, are responsible for providing the technical and administrative information related to the courses of study and to the organization of the Master s course. Professors with tutoring tasks are mandated to provide scientific and information and to give support for the choice of the curriculum and information regarding opportunities offered to students. Students enrolled in the first year are also offered support by senior students/tutors who can provide information and support regarding both the organisation of individual study in terms of effectiveness and efficiency, and the activities, not only institutional, that complement the student's life. The names and addresses of professors and students with tutoring assignments will be listed annually on the CIMeC website. Art. 11 Obtaining the degree To obtain the Master's degree, students must have completed 120 credits including those related to the final examination (i.e., thesis defense). Within the proposed programme, the final examination represents one of the formative moments with a double value: on the one hand, it allows professors to verify the achievement of the metacognitive capacity for reflection on the knowledge acquired and the possibility of application in a direct empirical research context in one or more of the areas of cognitive neuroscience or language technologies and of the development of interfaces; on the other hand, it makes it possible to assess the achievement of a sufficient level of autonomy to prepare, draft and discuss a scientific text. The final examination consists of the presentation and discussion of a text (thesis) in English, which is prepared by the student with the guidance of a lecturer from among the professors and researchers belonging to the Centre, or the teaching professors of the Master s degree. The criteria for the definition of the composition of the Final Examination Committee, of the procedures for submitting applications and of the final score, which is expressed in hundred-tenths, with the possibility of cum laude, are described in the Educational Regulation of the University and in the Regulation of the final test. Page 8 of 15

Title V Final and transitory provisions Art. 13 Amendments, entry into force and validity of this Regulation This Regulation shall enter into force on the date of enactment of the relevant Rector's Decree and will be valid for students registered for the Master s degree in Cognitive Science in the academic year 2014/2015 and subsequent years. For students already enrolled in a course of study at the entry into force of this Regulation, the rules of the previous regulation shall continue to apply. For matters not expressly provided for in this Regulation, the rules of the University Educational Regulation apply. Page 9 of 15

Annex 1 - Educational activities included in the curriculum Master s Degree in "Cognitive Science": activities included in the curriculum for students enrolled in academic year 2014/2015 and subsequent years CS CURRICULUM - COGNITIVE NEUROSCIENCE COMPULSORY COURSES Course year Code Name of the course Learning objectives Cognitive psychology is the study of the mental processes underlying our ability to perceive, pay attention, think, categorize, use language and remember. Historically, cognitive psychology began with the information processing 1 154031 1 154033 Foundations of approach but we will also explore recent research on topics Cognitive Psychology such as emotions and numerical cognition, and will include insights from neuropsychology, neuroimaging and lifespan development. The teaching methods will include demonstrations, class discussion and lectures and will emphasize the critical link between theory and experimentation. This course will examine the neural basis of higher mental functions, including brain systems supporting perception, object recognition, attention, memory, spatial functions, language, and decision making. We will explore the neuroanatomical and neurophysiological basis of cognitive Foundations of functions, considering evidence form functional neuroimaging Cognitive and clinical studies. Cognitive neuroscience approaches to Neuroscience disorders such as autism, schizophrenia, and Alzheimer s disease will also be explored. The teaching methods will include lectures, demonstrations, patient videos, class discussion and practical sessions in different neuroimaging labs. This first part of the course will concentrate on language, memory, perception and attentional mechanisms. This course will cover some fundamentals of algebra, probability theory, and statistics. Furthermore the course will cover all aspects of a research project, such as, sample 1 154035 Research Design sizes, measures, and type of experimental designs. Students will present and comment on their own research projects in progress. Discussions also include presentations of research to various audiences, abstracts, reviews, grant process, and scientific ethics. This course will cover basic neural anatomy and methodology for the application of the main neuroimaging 1 154073 Foundations of Brain techniques used in cognitive neuroscience, such as Imaging functional and structural Magnetic Resonance Imaging, Transcranial Magnetic Stimulation, Magnetoenchelalography and EEG. Computational methods such as machine learning are 1 154037 essential in solving complex problems in research area such Computational as neuroimaging, HCI, pattern recognition, natural language methods for data processing, computer vision, etc. The goal of this course is to analysis provide the basic elements in computational methods such as machine learning that will allow the students to understand further problems in the abovementioned areas. Hours of Type of assisted ECTS DSS activity activities 54 9 M-PSI/01 characterising --- 54 9 M-PSI/02 characterising --- 54 9 M-PSI/02 characterising --- M-PSI/02 characterising --- Prequalification characterising Page 10 of 15

CONSTRAINED CHOICE COURSES: 6 ECTS credits of choice from (*) Course year Code Name of the course Learning objectives This module is an introduction to language science 1 154036 Intro to Human (linguistics) covering phonetics and phonology, morphology language and lexical knowledge, syntax, phrase semantics, discourse, and anaphora. No previous knowledge of linguistics is required. This course is designed for students who already have a 1 154077 strong background in the study of language. This advanced Advanced topics in course provides an opportunity for an in-depth study of a language/cognition particular area of language science. Hours of Type of assisted ECTS DSS activity activities L-LIN/01 characterising --- L-LIN/01 characterising --- (*) The opportunity to activate some or all of the teachings outlined will be evaluated annually. CONSTRAINED CHOICE COURSES: 12 ECTS credits of choice from (*) Course year Code Name of the corse Learning objectives This course examines the methods used in cognitive neuroscience to link patterns of neural activity to specific 1,2 154074 Neural decoding stimuli or brain states. In particular, the course focuses on the application of neural decoding and mind reading with fmri. The first part of the class focuses on fmri data analysis, i.e. the statistics of fmri data analysis and how that should influence your design decisions and conclusions. By understanding the statistical concepts of fmri data analysis, students will understand the rationale of the preprocessing 1,2 154070 pipeline in fmri and the types of choices fmri researchers Hands on methods have to make when designing their experiments. By actually course modeling and analyzing fmri data students will get a deeper understanding of fmri data analysis and at the same time gain experience that will make it easier for them to read fmri papers and to perform their own imaging studies in the future. The second part of the course involves the hand on analysis of MEG data. This course will look at a number of the major neural systems in detail, examining their structure and function. Contemporary studies will provide much of the teaching 154076 Neuroscience material and a strong emphasis will be placed on the latest 1,2 developments in each field. Subjects to be covered will include the visual system, the auditory system, motor pathways, attention mechanisms, eye movements and memory. Hours of Type of assisted ECTS DSS activity activities M-PSI/02 similar --- M-PSI/08 similar --- 42 6 M-PSI/02 similar --- 1 154067 Computational skills The course introduces computer programming, focusing on in cognitive science those aspects that are most relevant to behavioural and characterising --- neuroimaging studies in cognitive neuroscience. 2 154038 Internship (see the Internship Regulations in the present Handbook-) 375 15 other activities --- 2 154039 Master Thesis 750 30 other activities --- Prequalification Prequalification Page 11 of 15

1,2 154006 Independent Studies The independent studies course is a short research internship. The goal is for students to gain first-hand experience with experimental research. The course includes M-PSI/02 similar --- the writing of a report of the performed activities. Current debates in This advanced course provides an opportunity for an indepth 1,2 154071 Cognitive study of a current issues and debates in the area of M-PSI/02 similar Neuroscience cognitive neuroscience. The course would provide the theoretical and empirical 1,2 154042 foundations of comparative research on animal cognition. It Current issues in will cover all the traditional topics in animal cognition - neuroscience: Animal perception, learning and memory, categorization, thinking Models and reasoning, and communication/language. Practical in the M-PSI/02 similar --- animal cognition lab will be part of the course. This course examines the application of neuroscience methods to the clinical setting. Topics include the application 1,2 154068 Clinical Neuroscience of neuroimaging in the daily hospital setting and advanced MR techniques for clinically oriented research on MED/37 similar --- neurogenerative and neuropsychiatric diseases. The course includes lectures, case studies and practicals. This course is designed for students who already have a Advanced topics in background in the study of perception and attention. This 1,2 154064 Perception and advanced course provides an opportunity for an in-depth M-PSI/02 similar --- attention study of current work in perception and attention, through seminars, readings and discussions. This course is designed for students who already have a 1,2 154078 1,2 154069 background in the study of cognition. This advanced course Advanced topics in provides an opportunity for an in-depth study of a particular cognition area of cognition, through seminars, readings and M-PSI/02 similar --- discussions. Philosophy of language is a field of research intersecting many others in Cognitive Science, such as linguistics, anthropology, ontology, perception, mind, and cognition. The course focuses on how different languages semantically Philosophy of organize information in the mind. The course presents the Language fundamental notions of semantics, conceptualization, 36 3 M-FIL/05 similar --- categorization, and conceptual spaces. Lectures will be developed mainly on the presentation and discussion of key papers on the topic (*) The opportunity to activate some or all of the teachings outlined will be evaluated annually. 1,2. The year of offer will be indicated annually in the Manifesto. ELECTIVE COURSES - 12 ECTS credits The curriculum provides for the acquisition of 12 ECTS credits without scientific disciplinary sector constraints chosen from the teachings that are specifically activated by the Master s course and published annually in the manifesto of studies or among those activated by the University. Page 12 of 15

LMI CURRICULUM - LANGUAGE AND MULTIMODAL INTERACTION COMPULSORY COURSES 1 154057 Computational Linguistics Foundations of 1 154033 Cognitive Neuroscience 1 154035 Research Design 1 154062 Independent Studies Hours of Type of Course assisted Prequalification Code Name of the course Learning objectives ECTS DSS year activity activities Cognitive psychology is the study of the mental processes underlying our ability to perceive, pay attention, think, categorize, use language and remember. Historically, 1 154044 Cognitive psychology cognitive psychology began with the information processing approach but we will also explore recent research on topics such as emotions and numerical cognition, and will include insights from neuropsychology, neuroimaging and lifespan M-PSI/01 characterising --- development. The teaching methods will include demonstrations, class discussion and lectures and will emphasize the critical link between theory and experimentation. The course introduces the basics of linguistic/semantic text processing, focusing in particular on the creation and exploitation of large scale text databases (corpora), the automated annotation of corpora with various forms of 54 9 linguistic information and computational/statistical methods to characterising --- extract semantic information from text. The second part of the course gives an overview of lexicalized formal grammars and of the syntax-semantics-interface. This course will examine the neural basis of higher mental functions, including brain systems supporting perception, object recognition, attention, memory, spatial functions, language, and decision making. We will explore the neuroanatomical and neurophysiological basis of cognitive functions, considering evidence form functional neuroimaging and clinical studies. Cognitive neuroscience approaches to disorders such as autism, schizophrenia, and Alzheimer s disease will also be explored. The teaching methods will include lectures, demonstrations, patient videos, class discussion and practical sessions in different neuroimaging labs. This first part of the course will concentrate on language, memory, perception and attentional mechanisms. 54 9 M-PSI/02 characterising --- This course will cover some fundamentals of algebra, probability theory, and statistics. Furthermore the course will cover all aspects of a research project, such as sample sizes, measures, and type of experimental designs. Students 54 9 M-PSI/02 characterising --- will present and comment on their own research projects in progress. The independent studies course is a short research internship. The goal is for students to gain first-hand experience with experimental research. The course includes M-PSI/02 characterising --- the writing of a report of the performed activities. 2 154038 Internship (See the Internship Regulations in the present Handbook) 375 15 Other activities Having acquired 45 ECTS credits 2 154039 Master Thesis 750 30 Other activities --- Page 13 of 15

CONSTRAINED CHOICE COURSES: a course (6 ECTS credits) from among the following (**) Course year Code Name of the course Learning objectives This module is an introduction to language science 1 154036 Intro to Human (linguistics) covering phonetics and phonology, morphology language and lexical knowledge, syntax, phrase semantics, discourse, and anaphora. No previous knowledge of linguistics is required. This course is designed for students who already have a 1 154077 strong background in the study of language. This advanced Advanced topics in course provides an opportunity for an in-depth study of a language/cognition particular area of language science. Hours of Type of assisted ECTS DSS activity activities L-LIN/01 characterising --- L-LIN/01 characterising --- Prequalification CONSTRAINED CHOICE COURSES: a course (6 ECTS credits) from among the following (**) Course year Code Name of the course Learning objectives Hours assisted activities of ECTS DSS Type activity of Prequalification This class presents a survey of methods from the fields of statistics and machine-learning aimed at extracting 1 154058 Introduction to ML for NLP generalizations from example data, and use them to automatically analyze new data. The class focuses on case studies in the analysis of different components of natural language. characterising --- Computational methods such as machine learning are essential in solving complex problems in research area such 1 154037 Computational methods for data analysis as neuroimaging, HCI, pattern recognition, natural language processing, computer vision, etc. The goal of this course is to provide the basic elements in computational methods such as machine learning that will allow the students to understand further problems in the abovementioned areas. characterising The course aims at providing participants with the conceptual 1 154048 Knowledge Representation and technological tools which will allow them to understand, evaluate and use state-of-the-art semantic and knowledgebased technologies for network-based applications, such as knowledge portals, e-commerce platforms, e-* applications. characterising --- CONSTRAINED CHOICE COURSES: two courses (12 ECTS credits) from among the following (**) Hours of Type of Course assisted Prequalification Code Name of the course Learning objectives ECTS SSD year activity activities This course is an introduction to Artificial Intelligence from a cognitive perspective. It will cover knowledge representation and reasoning, learning, and natural language 1,2 154047 Intro to AI understanding, discussing in each area both the psychological evidence and computational models. The similar --- course includes lab work during which the students will acquire familiarity with artificial intelligence programming and tools. 1,2 154061 Logical structures in A general introduction to the study of meaning in natural M-FIL/05 similar --- Page 14 of 15

natural language language using the tools of formal semantics. Topics include the relation of predicate logic with natural language operators; lexical semantics, compositional semantics, nominal and verbal quantifications; modification; event semantics; genericity, and the semantics of grammatical features. The course introduces computer programming, focusing on 1,2 154075 Computational skills for text analysis 1,2 154066 HCI & Multimodal Systems 1,2 154060 Machine Learning 1,2 154022 Computational vision Philosophy of 1,2 154069 Language those aspects that are most relevant to text processing: regular expressions, text segmentation, extraction of lexical similar --- and linguistic information from text. This course addresses the fundamentals of Human- Computer Interaction with emphasis on interaction design for multimodal systems. The main part of the course will introduce the core of User-Centered Design providing The course will focus on probabilistic reasoning and learning, probabilistic graphical models, discriminative learning and kernel machines. Hints at the most recent advancements in machine learning will be also provided. 42 6 This course will cover the basic concepts in computer vision. First, the class will present an introduction to low level image analysis methods, including image formation, edge detection, color analysis, feature detection, and image segmentation. further, we are going to discuss more advanced topics including methods for reconstructing three-dimensional scene information using techniques such as depth from stereo, structure from motion, and shape from shading. Finally, the course will present the techniques for motion and video analysis as well as three-dimensional object recognition approaches. Philosophy of language is a field of research intersecting many others in Cognitive Science, such as linguistics, anthropology, ontology, perception, mind, and cognition. The course focuses on how different languages semantically concepts and hands-on practice on techniques for collecting user needs, lo-fi and hi-fi prototyping, formative and similar --- summative evaluation. In the final part of the course, students will work in teams to focus on a number of specific advanced topics, such as tabletop interaction, mobile computing, ubiquitous computing etc. The aim of the course is providing solid theoretical and practical foundations in the main areas of machine learning. similar --- similar --- organize information in the mind. The course presents the 36 3 M-FIL/05 similar --- fundamental notions of semantics, conceptualization, categorization, and conceptual spaces. Lectures will be developed mainly on the presentation and discussion of key papers on the topic (**) The opportunity to activate some or all of the teachings outlined will be evaluated annually. 1,2. The year of offer will be indicated annually in the Manifesto. ELECTIVE COURSES - 12 ECTS credits The curriculum provides for the acquisition of 12 ECTS credits without scientific disciplinary sector constraints chosen from the teachings that are specifically activated by degree course and published annually in the manifesto of studies or among those activated by the University. Page 15 of 15