Introduction to Programming

Code:

CC1024

Acronym:

CC1024

Level:

100

Keywords
Classification	Keyword
OFICIAL	Computer Science

Instance: 2024/2025 - 1S

Active?	Yes
Web Page:	https://www.dcc.fc.up.pt/~pribeiro/aulas/ip2425/
Responsible unit:	Department of Computer Science
Course/CS Responsible:	Bachelor in Computer Science

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
L:B	7	Official Study Plan	3	-	6	48	162
L:CC	111	study plan from 2021/22	1	-	6	48	162
L:F	0	Official Study Plan	3	-	6	48	162
L:G	0	study plan from 2017/18	2	-	6	48	162
			3
L:IACD	119	study plan from 2021/22	1	-	6	48	162
L:M	3	Official Study Plan	2	-	6	48	162
			3
L:Q	3	study plan from 2016/17	3	-	6	48	162

Teaching language

Suitable for English-speaking students

Objectives

Introduction to computer programming using Python.

Fundamental programming concepts: variables, types, operators, and expressions; functions and procedures; conditional and selection statements; iteration and recursion, data reading and writing.

Data structures and fundamental algorithms: lists, dictionaries, tuples; search, sorting, and data processing; problems and applications.

Learning outcomes and competences

By the end of the course, students should be able to:

1. write and interpret programs to solve simple problems;
2. divide problems into sub-tasks that can be implemented as reusable sub-programs;
3. test and debug programs;
4. understand and manipulate fundamental data structures and algorithms, and know how to apply them to concrete problems.

Working method

Presencial

Program

1. Introduction to Python: variables, types, operators, and expressions;
2. Conditions and logical values; conditional execution statements;
3. Loops and iteration;
4. Functions, variable scope;
5. Modules and standard Python libraries;
6. Fundamental data structures: lists, dictionaries, tuples;
7. Data reading and writing;
8. Recursion;
9. Error analysis and detection (debugging);
10. Brief introduction to object-oriented programming.

Mandatory literature

Peter Wentworth, Jeffrey Elkner, Allen B. Downey and Chris Meyers; How to Think Like a Computer Scientist: Learning with Python 3 (Available online at: https://openbookproject.net/thinkcs/python/english3e/)
Allen B. Downey; Think Python (Available online at: https://greenteapress.com/wp/think-python-2e/)

Teaching methods and learning activities

Theoretical-practical classes, with analysis and discussion of problems and programs.

Practical classes for solving exercises, using automatic code evaluation tools.

Software

Mooshak (https://mooshak.dcc.fc.up.pt)
VSCode (https://code.visualstudio.com/)
Python (https://www.python.org)

Evaluation Type

Distributed evaluation with final exam

Assessment Components

designation	Weight (%)
Exame	50,00
Teste	40,00
Trabalho laboratorial	10,00
Total:	100,00

Amount of time allocated to each course unit

designation	Time (hours)
Frequência das aulas	48,00
Trabalho laboratorial	60,00
Estudo autónomo	54,00
Total:	162,00

Eligibility for exams

Attendance of at least 3/4 (75%) of the practical classes.

Calculation formula of final grade

A - Exercises during classes

T1 - 1st Practical Test

T2 - 2nd Practical Test

E - Final Exam

Final grade: A*0.1 + T1*0.2 + T2*0.2 + E*0.5

Notes: There is no minimum grade requirement for any component. Students will be allowed to improve one of the Practical Tests (T1 or T2, 20%) before the exam period.

Special assessment (TE, DA, ...)

The evaluation criteria apply to all students.

Classification improvement

Improvements from the previous year will be made through a written exam - Exam (100%).

Students enrolled in the current year may improve the E (exam, 50%) component. Note that students will be allowed to improve one of the Practical Tests (T1 or T2, 20%) before the exam period.