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Code: | EBE0165 | Acronym: | IPCOM |

Keywords | |
---|---|

Classification | Keyword |

OFICIAL | Basic Sciences |

Active? | Yes |

Web Page: | https://moodle.fe.up.pt/course/view.php?id=2768 |

Responsible unit: | Department of Electrical and Computer Engineering |

Course/CS Responsible: | Master in Bioengineering |

Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|

MIB | 92 | Syllabus | 1 | - | 6 | 56 | 162 |

Teacher | Responsibility |
---|---|

Aurélio Joaquim de Castro Campilho |

Recitations: | 2,00 |

Laboratory Practice: | 2,00 |

Type | Teacher | Classes | Hour |
---|---|---|---|

Recitations | Totals | 1 | 2,00 |

Aurélio Joaquim de Castro Campilho | 2,00 | ||

Laboratory Practice | Totals | 4 | 8,00 |

Abel Jorge Antunes da Costa | 4,00 | ||

Joaquim Gabriel Magalhães Mendes | 4,00 |

This course unit aims to develop students’ knowledge and skills in computing principles, concepts and methods and it will be given a special emphasis to scientific and engineering applications.

It will also be covered the following themes: resolution of problems and programming techniques; fundamental algorithms and data structure; use of the computer in the resolution of scientific, engineering and in particular bioengineering problems.

This course unit also aims to familiarise students with MatLab, which is the tool that will be used.

To contribute to develop the capacity of the students to program in Matlab, to work autonomously and in group, and to prepare written reports and program documentation.

1. INTRODUCTION

1.1 Computer organisation

1.2 Use of computers in Bioengineering: examples

1.3 Computer representation of numbers

2. INTRODUCTION TO PROGRAMMING

2.1 Introduction

2.2 Programming languages: objectives

2.3 Programming paradigms

2.4 Compilation and interpretation

2.5 Family of programming languages

2.6 Basic blocks in programming

2.7 Structured programming

3. INTRODUCTION TO MATLAB

3.1 Advantages and disadvantages of Matlab

3.2 Matlab environment

3.3 Vectors and matrices in Matlab

3.4 Functions

3.5 Introduction to graphic plotting

4. IMPERATIVE PROGRAMMING

4.1 Introduction

4.2 Basic instructions

4.3 Complex instructions

4.4 Logic vectors and vectorization

4.5 Examples in Matlab

5. FUNCTIONS

5.1 Introduction

5.2 Argument sharing

5.3 Global memory

5.5 Functions of functions

5.4 Applications

6. DATA AND DATA STRUCTURES

6.1 Complex data

6.2 String functions

6.3 Multidimensional data

6.4 Examples of application in Matlab

7. INPUT-OUTPUT INSTRUCTIONS

7.1 Read / write commands

7.2 Notions of register and file

7.3 Operations with files

8. PROGRAMMING COMPLEMENTS AND EXAMPLES OF APPLICATION IN BIOENGINEERING

8.1 Statistical Analysis

8.2 Introduction to biosignal processing algorithms

8.3 Introduction to image processing algorithms in biology and medicine

Chapman, Stephen J.; MATLAB programming for engineers. ISBN: 0-534-42417-1

S. R. Otto, J. P. Denier; An Introduction to programming and Numerical Methods in Matlab, Springer, 2005. ISBN: ISBN-10:1-85233-919-5; ISBN-13: 978-185233-919-7

The Math Works; Matlab Application Toolbox

Theoretical-practical classes (TP)

Theoretical presentation and resolution of programming problems

Practical classes (P)

Laboratory classes of problem solving at the computer lab

Designation | Weight (%) |
---|---|

Teste | 60,00 |

Trabalho laboratorial | 40,00 |

Total: |
100,00 |

Designation | Time (hours) |
---|---|

Elaboração de relatório/dissertação/tese | 4,00 |

Estudo autónomo | 28,00 |

Frequência das aulas | 56,00 |

Trabalho laboratorial | 24,00 |

Total: |
112,00 |

To be admitted to exams, students:

cannot miss more theoretical-practical and practical classes than allowed by the rules.

have to reach a minimum a grade of 50% in the laboratory assignments.

Students, who attended this course unit in the previous year, can keep their grades. They do not need to attend laboratory classes and carry out the four laboratory assignments. If they opt to attend laboratory classes, their previous grades will not be taken into account.

Type of evaluation: Distributed without final exam

NF has 2 components:

- Lab component, with 2 assignments: 1 individual assignment in class (TP1) and the 2^{nd} (TP2) in groups with the following weights: 40% and 60% , respectively. The laboratorial classifiction (CL) has the following expression:

CL= 0.4*TP1+0.6*TP2 (CL must be at last 9)

- Written component: two closed book tests (PE1 e PE2) in November and in January.

The expression for NF is:

if CL >= 9

NF=0.3*PE1+0.3*PE2+0.4*CL, if (PE1+PE2)/2 > 8

NF=0.5*PE1+0.5*PE2 if (PE1+PE2)/2 <= 8

if CL < 9 --> NF = CL

Students will have to attend two closed book tests and carry out two programming assignments.

Students, who do not reach a passing grade in the written component, can opt to attend the special test on the same date of the 2nd test, which will cover the entire program. They should inform the professors about their decision.

They will be assessed as regular students.

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Page generated on: 2021-03-07 at 18:39:31

Page generated on: 2021-03-07 at 18:39:31