IPT Logotipo do IPT

Analítica e Inteligência Organizacional

Support Technologies and Analytical Systems

<< back to Curriculum Plan

Publication in the Diário da República: Despacho n.º 11262/2016 - 19/09/2016

8 ECTS; 1º Ano, Anual, 36,0 PL + 8,0 TP + 4,0 S + 32,0 OT + 10,0 O , Cód. 39326.

Lecturer
- Sandra Maria Gonçalves Vilas Boas Jardim (1)

(1) Docente Responsável
(2) Docente que lecciona

Prerequisites
Not applicable.

Objectives
A. Be able to extract the data to be integrated into the information/knowledge pyramid,
B. Be able to apply data pre-processing techniques
C. Know the main analytic models and the algorithms that implement them
D. Design and implement algorithms for the creation of analytical models

Program
1. Data acquisition and pre-processing (data quality, aggregation, sampling, dimensionality reduction, feature subset selection, feature creation, discretization and binarization, attribute transformation)
2. Analytics techniques: forecasting techniques, descriptive analytics (clustering technique), predictive analytics (machine learning, regression and text mining), decision optimization techniques
3. Algorithms: algorithms for implementing the techniques discussed in point 2.)
4. Visualization and interpretation of results from analytics systems (dashboards)

Evaluation Methodology
Continuous assessment:
Written test (30%), Weekly individual tasks (30%), Final practical assignment (40%)

Exam-based assessment (First attempt and Resit)
Written test (50%), Practical Assignment (50%)

In all evaluation periods, the minimum grade for each component is 7 values.

In each evaluation period, approval to the course implies a final classification equal to or greater than 10 values.

Bibliography
- Eckerson, W. (2006). Performance Dashboards: Measuring, Monitoring, and Managing Your Business. New Jersey: John Wiley & Sons
- Howson, C. (2008). Successful business intelligence : secrets to making BI a killer app.. New York: Mc Graw-Hill
- Turban, E. e Sharda, R. e Dursun, D. e King, D. (2011). Business Intelligence: a managerial approach. New Jersey: Prentice Hall

Teaching Method
Lectures and practical sessions.

Software used in class
Keras, Tensorflow, productivity tools Elearning platform.

 

 

 


<< back to Curriculum Plan
NP4552
Financiamento
KreativEu
erasmus
catedra
b-on
portugal2020
centro2020
compete2020
crusoe
fct
feder
fse
poch
portugal2030
poseur
prr
santander
republica
UE next generation
Centro 2030
Lisboa 2020
co-financiado