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The Bologna process for Computer Science and Computer Engineering at ISEL

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Title: The Bologna process for Computer Science and Computer Engineering at ISEL


1
The Bologna process forComputer Scienceand
Computer Engineering at ISEL
  • Departamento de Engenharia de Electrónica e
    Telecomunicações e de Computadores
  • Instituto Superior de Engenharia de Lisboa
  • Instituto Politécnico de Lisboa
  • Fernando Sousa
  • fsousa_at_isel.pt, phone 351218317060
  • September 2006

2
Higher Education System
Before Bologna Law 46/1986 After Bologna Law 49/2005
University Degrees Bacharel Licenciado (long cycle) Mestre Doutor National credit system Degrees Licenciado (180-240 ECTS credits) Mestre (two cycles, 90-120 ECTS credits, exceptionally 60 credits, or long cycle 300-420 ECTS credits) Doutor ECTS
Polytechnic Degrees Bacharel Licenciado (two-stages) Degrees Licenciado Bachelor (180-240 ECTS credits) Mestre Master (90-120 ECTS credits, exceptionally 60 credits) ECTS
3
New organization at ISEL
  • Programme organization using a credit system (and
    organization in scientific areas)
  • European Credit Transfer and Accumulation System
    (ECTS)
  • Student workload
  • Learning outcomes
  • Diploma Supplement (DS)
  • Licenciado Bachelor Degree (BSc, BEng, BSc
    Honors,)
  • Mestre Master Degree (MSc, MEng,)
  • Courses and grading
  • reorganization (professional recommendations, )
    and flexibility to chose and individual track

4
Programme structure
Old organization
New organization
Transition
1.st stage 3 years Bacharelato
Bachelor Licenciatura 180 ECTS credits
Two-stages degree licenciatura
Master Mestrado 120 ECTS credits
2.nd stage 2 years Licenciatura
5
CSCE degree programmes
  • Bachelor in Computer Science and Computer
    Engineering (LEIC 2006 - Licenciatura em
    Engenharia Informática e de Computadores)
  • Master in Computer Science and Computer
    Engineering (MEIC 2006 - Mestrado em Engenharia
    Informática e de Computadores

6
LEIC 2006 areas and credits
Scientific area Sigla ECTS credits ECTS credits
Scientific area Sigla Compulsory Elective
Mathematics MAT 24 0 to 12
Computer science and computer engineering IC 114 12 to 30
Electronics and telecommunications engineering ET 6 0 to 12
Social and juridical sciences, arts and humanities or other CSO 6 0 to 12
Total Total 150 30
7
LEIC 2006 - programme structure
  • Compulsory core courses,126 ECTS credits
  • Basic studies (48 credits)
  • Mathematics (24 credits)
  • General and engineering basics
  • Project and Seminar (18 credits)
  • Elective courses (36 credits) from an approved
    list with choice criteria

8
MEIC 2006 areas and credits
Scientific area Sigla ECTS credits ECTS credits
Scientific area Sigla Compulsory Elective
Computer science and computer engineering IC 66 24 to 54
Electronics and telecommunications engineering ET 0 0 to 24
Social and juridical sciences, arts and humanities or other CSO 0 0 to 18
Total Total 66 54
9
MEIC 2006 programme structure
  • Mandatory courses (24 ECTS credits) with
    pre-requisites
  • Elective courses (54 credits) organized in two
    sets
  • Major area which is the scientific area where the
    dissertation or project will be developed
  • Free electives which can be organized as a minor
  • Dissertation or project (42 credits)
  • Nuclear formation in Software Engineering with
    specialization in
  • Information Systems
  • Information Technology
  • with complementary specializations in Embedded
    Systems, Multimedia and Communications providing
    formative profiles in computer science and
    computing engineering, combining different
    application domains

10
Courses in CSCE
11
References
  • CESAER/SEFI, Engineering Education and Research
    and the Bologna Process On the Road to Bergen
    2005, March, 2005.
  • QAA, Computing, 2000.
  • QAA, Engineering, 2000.
  • Finnish Higher Education Evaluation Council,
    Application Form for Registration of
    Professional Courses of Higher Education
    Institutions, 2004.
  • HETAC, Awards Standards Computing, August,
    2005.
  • ASIIN, Requirements and Procedural Principles
    for the Accreditation of Bachelors and Masters
    study programs in Engineering, Informatics,
    Natural Sciences and Mathematics, 2005.
  • Fininsh Higher Education Evaluation Council,
    Application form for registration of
    professional courses of higher education
    institutions, September, 2004.
  • TUDelft, TU/e, University of Twente, Criteria
    for Academic Bachelors and Masters Curricula,
    2005.
  • FEANI, Procedures to analyse proposals from
    National Members, December, 2004.
  • IEE, IEE Handbook of Learning Outcomes for BEng
    and MEng Degree Programmes, December, 2005.
  • Career Space, New information and communications
    technology curricula for the 21st century,
    designing tomorrows education, 2002.
  • ARTIST, Guidelines for a Graduate Curriculum on
    Embedded Software and Systems, 2005.
  • EUR-ACE, Framework Standards for the
    Accreditation of Engineering Programmes, 2005.
  • SEFI, The Impact of the Bologna Declaration on
    Engineering Education in Europe, June, 2004.
  • ABET, Criteria for Accrediting Computing
    Programs, 2005.
  • Computer society of IEEE and ACM joint task
    force, Computing curricula 2005, 2005.

12
Old organization courses
  • First stage
  • Mathematics I, Linear Algebra, Electronics I,
    Digital Systems, Programming I, Mathematics II,
    Introduction to Statistics and Probabilities,
    Electronics II, Fundamentals of Microprocessors,
    Programming II
  • Mathematics III, Physics for Electrical
    Engineering, Microprocessors I, Programming III,
    Signals and Systems Theory, Computer Networks I,
    Programming IV, Microprocessors II, Digital
    Signal Processing I, Fundamentals of Operating
    Systems
  • Digital Signal Processing II, Operating Systems,
    Microprocessors III, Computer Networks II,
    Introduction to Information Systems, Software
    Engineering, Project in Informatics and
    Computers, Internet Technologies, Economy and
    Project Management
  • Second stage
  • Detection and Estimation, Computer Architecture,
    Advanced Computer, Networks, Information Systems,
    Advanced Programming, Data Coding and
    Compression, Fundamentals of Distributed Systems,
    Systems Analysis and Design, Logic and
    Computation
  • Project, Integrated Circuits, Microelectronic
    Processes, Sensors and Transducers, Advanced
    Topics in Signal Processing, Computational
    Cryptography, Real Time Systems, Distributed
    Systems, Systems Integration, Knowledge
    Representation and Processing, Intelligent
    Systems, Digital Speech Processing, Digital Image
    Processing, Continuous Systems Control,
    Telecommunication Systems Modulation and
    Simulation

13
New organization courses
  • First cycle
  • Mathematics I, Linear Algebra and Analytic
    Geometry, Programming, Logic and Digital Systems,
    Electronics, Mathematics II, Probabilities and
    Statistics, Object Oriented Programming,
    Fundamentals of Computer Architecture, Hardware
    and Software Laboratory
  • Communications, Algorithms and Data Structures,
    Imperative Programming with C/C, Computer
    Architecture, Logic and Computation, Computer
    Graphics, Functional Programming, Information
    Systems I, Computer Networks, Virtual Execution
    Systems, Operating Systems, Artificial
    Intelligence, Modeling and Design Patterns,
    Multimedia Systems
  • Information Systems II, Concurrent Programming,
    Internet Programming, Computer Security, Embedded
    Systems I, Compilers, Project and Seminary,
    Distributed Systems, Advanced Networks, Embedded
    Systems II, Programming for Mobile Devices,
    Digital Signal and Image Processing
  • Second cycle
  • Computer Security, Internet Networks, Embedded
    Systems I, Compilers, Distributed Systems,
    Advanced Networks, Embedded Systems II,
    Programming for Mobile Devices, Digital Signal
    and Image Processing, Advanced Operating Systems,
    Complementary Topics on Information Systems,
    Multimedia Networks and Services, Advanced
    Computer Architecture, Machine Learning, Real
    Time Digital Signal Processing, Data Coding and
    Compression, Software Engineering, Distributed
    Systems Infrastructures, Decision Support
    Information Systems, Computer Network Security,
    Kernel Mode Programming, Complementary Topics on
    Artificial Intelligence, Knowledge Representation
    and Processing
  • Dissertation or Project, Information System
    Architecture, Information Systems Management,
    Network Design, Embedded Systems Project, Systems
    Integration
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