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Programming I

Code: CC1015     Acronym: CC1015     Level: 100

Keywords
Classification Keyword
OFICIAL Computer Science

Instance: 2019/2020 - 2S Ícone do Moodle

Active? Yes
Web Page: https://piazza.com/up.pt/spring2020/cc1015
Responsible unit: Department of Computer Science
Course/CS Responsible: First Degree in Chemistry

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
L:M 100 Official Study Plan 1 - 6 56 162

Teaching Staff - Responsibilities

Teacher Responsibility
Ana Paula Nunes Gomes Tomás

Teaching - Hours

Theoretical classes: 2,00
Laboratory Practice: 2,00
Type Teacher Classes Hour
Theoretical classes Totals 1 2,00
Ana Paula Nunes Gomes Tomás 2,00
Laboratory Practice Totals 3 6,00
Sérgio Armindo Lopes Crisóstomo 4,00
Ana Paula Nunes Gomes Tomás 2,00

Teaching language

Portuguese

Objectives

Introduction to the use of computers running GNU/LInux operating systems.

Introduction to programming using the Python language.

Notions of low and high level languages; interpreters and compilers; editor and development environmnets. Values, types and expressions. Functions and procedures. Conditionals and selection. Iteration and recursion. Basic data structures and algorithms:  data processing, text, numerical computation.

Learning outcomes and competences

At the end of the course, the student should be able to:

1. simulate the step-by-step execution of simple programs;

2. write programs to solve solve simple problems (e.g. numerical computations or text processing);

3. decompose problems into sub-tasks suitable for re-usable sub-routines;

4. debug programs using testing

5. know elementary algorithms for data and text processing and numeric computation.

Working method

Presencial

Program


1. Brief historical introduction to computing and programming languages
2. Introduction to Python: variables, expressions and instructions
3. Interactive use of Python language; defining scrips and short functions
4. Conditions and logical values; instructions for conditional execution
5. Cicles and iteration. Examples using turtle graphics
6. Using pseudo-random numbers; examples for simulation
7. Numerical solution of equations; implementation of basic algorithms
8. Processing indexed variables (lists) and text (strings)
9. Writing and reading data as text files; plotting data using external tools (e.g. gnuplot)
10. Recursion

Mandatory literature

Peter Wentworth, Jeffrey Elkner, Allen B. Downey, and Chris Meyers; How to Think Like a Computer Scientist, n/a, 2012. ISBN: n/a
Brad Miller and David Ranum; Learning with Python: Interactive Edition

Complementary Bibliography

Allen B. Downey; Think Python
H. M. Deitel, P. J. Deitel, J. P. Liperi, B. A. Wiedermann;; Python: How to Program

Teaching methods and learning activities

Lectures; program analysis; practical, programming classes; students will use tools for automatic evaluation of their programs.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

designation Weight (%)
Exame 80,00
Teste 20,00
Total: 100,00

Amount of time allocated to each course unit

designation Time (hours)
Frequência das aulas 56,00
Trabalho laboratorial 50,00
Estudo autónomo 56,00
Total: 162,00

Eligibility for exams

Frequency of practical classes, according to the rules of the University and FCUP.  Students must attend at least 75% of the practical classes to be admitted to the exams. Students who miss more than four classes cannot attend the exams. 

=============

Changes due to Covid-19:

All students will be allowed to take the exam. 

Calculation formula of final grade

80% * Final exam grade + 20% * Mid-term test grade

Classification improvement

Students registered for grade improvement should attend the second epoch exam.

=============

Changes due to Covid-19:

Students can take any of the exams.

Observations

Changes due to Covid-19 Pandemic:

The classes are taught synchronously by Zoom.

For complementary support to practical classes and extra-class study, some sets problems of problems will be made available in the Mooshak and Codex systems.

Evaluation:

The evaluation will be by final exam (100%).

All students can take the final exams. There is no loss of frequency due to lack of attendance.

The exams will be in campus.

Materiais e apontadores: 

In addtion to Sigarra (Directory Documents for CC1015:



  • (Piazza)   https://piazza.com/up.pt/spring2020/cc1015

  • (Mooshak) https://mooshak.dcc.fc.up.pt/~pi/

  • (Codex)   https://codex.dcc.fc.up.pt/cc1015/

  • (Slides Pedro Vasconcelos 2018/19)  https://www.dcc.fc.up.pt/~pbv/aulas/programacaoI/

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