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                Code          Module                           Credits   Duration    Prerequisite(s)
                                    Applicable to students from University of Coimbra

                COMP8181      Research Methods                 12        ---         ---
                              The  Research  Methods  is  arranged  in  three  sub-modules.  Module  I  covers  aspects  of

                              philosophy of science of, research methods and ethics. Module II introduces the quantitative
                              research  methods,  including  modelling,  formal  methods,  experimental  methods,  and
                              computer simulation. Module III discusses the qualitative methods, spanning over qualitative
                              study design, qualitative approaches, collection-analysis-validation-assessment in qualitative
                              research, topics of design research and action research, and mixed models.
                              The contents are taught mainly as lectures, including the discussion of relevant case-studies,
                              production, communication and critical analysis.
                COMP8182      Technical and Scientific         6         ---         ---
                              Communication
                              The  Technical  and  Scientific  Communication  is  arranged  in  three  sub-modules.  Module  I

                              covers general aspects of the writing and communication process and will be addressed using
                              master classes to present the concepts, making abundant use of examples of writing and
                              communication  in  the  context  of  computer  engineering  research.  Module  II  focuses  on
                              training the different types of writing (writing modes) using intensively peer review as an
                              element of evaluating students' progress. Module III addresses non-verbal communication
                              in  the  context  of  training  different  types  of  presentations.  Videos  and  visualization  of
                              recordings made by students will be used to encourage discussion about the most effective
                              strategies  for  presentations.  A  blended-learning  strategy  will  be  used  throughout  the
                              module,  complementing  face-to-face  classes  with  activities  developed  through  distance
                              tools. The assessment consists of small writing, oral communication and peer review projects
                              carried out throughout the year and covering the entire subject covered in the module.

                COMP8289      Thesis Project                   42        ---         ---
                              The Thesis Project is arranged in four stages. I. Assignment of a (tentative) supervisor as early
                              as possible at the beginning of the academic year, in accordance with the research interests
                              expressed by the student in the selection interview. II. Reading of articles and other scientific
                              bibliography,  and  conducting  research  work  in  articulation  with  the  supervisor.  III.
                              Preparation of a preliminary proposal (a 3 pages summary, in English), and oral presentation
                              of the on-going work at the beginning of the 2nd semester. IV. Thesis writing and defence.
                              The assessment consists of the public defence of the thesis project before a jury. The defence
                              has a duration of at most two hours, including an oral presentation by the candidate lasting
                              up to 20 minutes.
                COMP8183      Advanced Topics in Computer Applied  3     135 hrs     ---
                              Technology                                 (total hrs)
                              This module is to provide students the mathematical and programming concepts, notions,
                              and languages for the abstraction, generalization, and formalization of their ideas, methods,
                              and approaches in common computer application technologies. The module is divided into
                              three parts. It first introduces the fundamentals of functional analysis to deal with vector
                              spaces and approximation problems typically found in deep learning. Then, it goes through
                              key  components  of  functional  programming  to  promote  high  order  functions  and
                              composability,  which  are  essential  in  abstraction  and  generalization  of  operations  and
                              processes. Finally, it presents the key ideas of category theory with a highly abstract view of
                              objects and transformations in general domains. The module aims at equipping the students
                              with the foundation and universal tools and notations for thinking, expressing, and discussing
                              topics related to computer science and applications.


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