Base Knowledge
N/A
Teaching Methodologies
The assessment of this curricular unit, in the form of continuous assessment, is carried out using 1 individual test, weighing 40%: written component, without consultation, 50% and oral component, to explain the algorithm and justify the code developed, 50%.
One project, individual programming work, with presentation and defense, weighing 60%. When evaluating programs, the components of ethics (bibliographical references, comments and others), style (sequence, abstraction, readability, comments, etc.) and functionality (correctness and efficiency of the program in all possible test inputs) will be taken into account. .
Exam (100%).
Learning Results
In this curricular unit the learner is expected to acquire knowledge and develop skills to use programming languages in a structured way. Analyze problems, develop and implement algorithmic solutions. Implement algorithms in Python programming language and others (Javascript, C, etc). Know how to edit, compile and run programs in various environments and platforms.
Program
Data science with Python:
Python basics
Python control structures
Processing data from a file
Dates and times
Processing JSON data
Jupyter Notebbok, Github
Introduction to NumPy
Reading data from a file using Pandas, manipulating data with Panda
Extracting rows and columns
Data Aggregation using Pandas
Joining Pandas Dataframes
Wide and Long Data Formats
Visualizing Data using Matplotlib
Curricular Unit Teachers
Grading Methods
- - Exam - 100.0%
- - Frequency - 40.0%
- - Individual and/or Group Work - 60.0%
Internship(s)
NAO
Bibliography
Python Data Science Handbook
https://jakevdp.github.io/PythonDataScienceHandbook/index.html
Python for Computational Science and Engineering
https://github.com/fangohr/introduction-to-python-for-computational-science-and-engineering/blob/master/Readme.md
“The Little Book of Algorithms”
http://bit.do/LBOA
Beginner’s Guide to Jupyter Notebooks for Data Science
https://morioh.com/p/a41ec25edc0a
What is GitHub?
https://docs.google.com/document/d/1v3IQrC_0pFxsRBXsvCEzKBDAmYjzuSJCvXhkg8ewDn0/edit#
Harvard University: cs50.dev