- The lab classes lectures, taught from 16:00 to 17:30, immediately after the lectures, follow the plan shown below, that includes their summaries and support materials.
7 8 9 10 11 12
13 14 15 16 17 18
Aula_1: 22 sep 2017
• Introduction to MATLAB; Data Structures (Arrays) .
exercises
Aula_2: 29 sep 2017
• Functions; IF and FOR instructions.
exercises
Aula_3: 06 oct 2017 -> 13 oct 2017
• Vectors and Matrices: Basic Algorithms.
exercises
Aula_4: 13 out 2017 -> 14 oct 2017
• Vectors and Matrices: Basic Algorithms.
exercises
Aula_5: 20 oct 2017
• Structures and Structure Arrays; Input/Output.
exercises
students.txt
Aula_6: 27 oct 2017
• Search in Vectors and Matrices, Structures.
exercises
grades.txt
Aula_7: 3 nov 2017
• Array Sorting.
exercises
Aula_8: 10 nov 2017
• Simulation; Queeing Systems (1)
exercises
one_server
Aula_9: 17 nov 2017 -> 15 nov 2017
• Simulation; Queeing Systems (2)
exercises
one_buffer
project_1
Aula_10: 24 nov 2017
• Graph Algorithms(1)
exercises
graphs.zip
Aula_11: 6 dec 2017
• Graph Algorithms(2)
exercises
graphs.zip
Aula_12: 15 dec 2017
• Support to Project 1
Project_1
Aula_13: 5 jan 2107
• Application of ER Model.
exercises
Aula_14: 12 jan 2107
• Application of Normalization. Comparison with ER model.
• Presentation of Project.
exercises
DB_project
Aula_15: 19 jan 2107
• Implementation of a Data Base in Sqlite. SQL querying exercises.
exercises, create_bd, insert_bd
solutions
Aula_16: 26 jan 2107
• DB exercises - triggers and views.
• Support to Project
exercises
solutions
Aula_17: 2 fev 2107
• Support to Project
DB_project
Aula_18: 9 fev 2107
• No class