Programming Laboratory

Code:

CC2013

Acronym:

CC2013

Level:

200

Keywords
Classification	Keyword
OFICIAL	Computer Science

Instance: 2019/2020 - 2S

Active?	Yes
Responsible unit:	Department of Computer Science
Course/CS Responsible:	Master's Degree in Network and Information Systems Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
L:CC	37	Plano de estudos a partir de 2014	2	-	6	42	162
			3
MI:ERS	92	Plano Oficial desde ano letivo 2014	2	-	6	42	162

Teaching language

Portuguese

Objectives

Strengthening the knowledge of structured programming by developing medium dimension programming projects.

Learning outcomes and competences

After completing this unit, students should be able to:
- write a large software project
- use profiling tools
- use existing libraries based on API documentation
- develop modular programs with clearly documented interfaces between components
- use an integrated development environment (IDE)

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Imperative programming and data structures

Program

Revisions on imperative programming: references, structures and unions. Memory alocation. Constructors. Lists, Trees, and the usual data structures. Programming in large. Makefiles. IDEs. Version control systems.

Object Oriented Programming: Classes, objects and packages. Arrays and strings. Visibility and acces modifiers. Constructors and encapsulation. Static methods and atributes. The Object class. Pitfalls of inheritance. 

Using exceptions for error handling. Throwing and catching exceptions. Checked vs. unchecked exceptions. Recomendations on the use of exceptions.

Mandatory literature

Kernighan Brian W.; The practice of programming. ISBN: 9780201615869
Miller Bradley N.; Problem solving with algorithms and data structures using Python. ISBN: 978-1-59028-053-9

Teaching methods and learning activities

Demonstration classes combing exposition of concepts and methodologies and practical assigments in computer laboratories.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

designation	Weight (%)
Exame	60,00
Trabalho laboratorial	40,00
Total:	100,00

Amount of time allocated to each course unit

designation	Time (hours)
Elaboração de projeto	1,00
Estudo autónomo	2,00
Frequência das aulas	3,00
Trabalho laboratorial	1,00
Total:	7,00

Eligibility for exams

Exam with minimum mark of 8/20 + courseworks

Calculation formula of final grade

40% * assignments + 60% * final exam. Final exam with minimum mark of 8/20.