Publication in the Diário da República: Despacho n.º 13495/2022 - 18/11/2022
10 ECTS; 1º Ano, 1º Semestre, 30,0 PL + 30,0 TP + 30,0 OT , Cód. 390913.
Lecturer
- Ricardo Nuno Taborda Campos (1)(2)
(1) Docente Responsável
(2) Docente que lecciona
Prerequisites
Objectives
1. Understand the importance of Python in Data Science
2. Be aware of ethical issues in the process of collectinf and use of information
3. Master the data collection process
4. Knowing how to apply information extraction methods
5. Be familiar with the 5V's
6. Knowing how to use the main frame
Program
1. Python in the context of Big Data
2. Data Ethics and Privacy
3. Data Acquisition
4. Information Extraction
5. Introduction to Big Data (Map-Reduce Programming Model)
6. Big Data Frameworks
Evaluation Methodology
Periodic evaluation: Project (60%) + Exam (40%)
The delivery of the project is mandatory for obtaining approval in the course during the periodic evaluation which assumes a minimum of 70% attendance. The delivery after the foreseen period implies the reproval of the student, making it impossible for him/her to propose to the exam. Students are also automatically excluded from the exam if they obtain a score of less than 6 values in the project or if they do not reach a minimum number of attendances.
Final Assessment: Exam (100%)
Bibliography
- Erl, T. e Khattak, W. e Buhler, P. (2016). Big Data Fundamentals: Concepts, Drivers & Techniques. USA: Prentice Hall
- Foster, I. e Ghani, R. e Jarmin, R. e Kreuter, F. e Lane, J. (2017). Big Data and Social Science. A Practical Guide for Methods and Tools. (pp. 1-349). New York: Taylor & Francis
- Santos, M. e Costa, C. (2019). Big Data - Concepts, Warehousing, and Analytics. (pp. 1-312). Lisboa: FCA
- Sarkar, D. (2021). Text Analytics with Python: A Practitioner's Guide to Natural Language Processing. (pp. 1-661). USA: Apress
Teaching Method
Exposure of the syllabus using the expository and demonstrative method. Analysis and resolution of practical cases through Python notebooks. The acquired knowledge will be evaluated through the realization and presentation of projects
Software used in class
