Develop and Manage an Online Platform

Year
1
Academic year
2019-2020
Code
02039281
Subject Area
Information Systems
Language of Instruction
Portuguese
Mode of Delivery
Face-to-face
ECTS Credits
2.0
Type
Elective
Level
Non Degree Course

Recommended Prerequisites

Not applicable.

Teaching Methods

The course unit is organized in classes with the teachers and sessions to monitor the work of students.

The seven sessions with the teachers are intended to introduce the themes of the program and to monitor the development of projects.

 

The curricular unit will be evaluated for application in the R&D project, developed in articulation during the course, under the guidance of the trainer. The evaluation of the project integrates the presentation of Partial Reports at the end of each phase, in group and individual, and a Final Report, which will also be publicly presented, with the following weighting in the final note: Partial Reports 3*20%; Final Report (including public presentation) 40%.

Learning Outcomes

Framed in the performance of the Coimbra 2030 platform, the module aims to provide trainees with a practical experience in data analysis techniques and dashboard production, creation, management and optimization of content of an online and digital platform, including specific communication methodologies for crisis, in order to allow them to realize requirement’s analysis of information systems and correspondent implementations.

Work Placement(s)

No

Syllabus

1. Information Services Management
2. Visual Identity and Standardization of Documents
3. User Interface Design
4. Content Management System
5. Elastic search
6. Web analytics
7. Analysis of System Requirements to be developed.

Head Lecturer(s)

Luís Filipe Gens Moura Ramos

Assessment Methods

Assessment
Final Report (including public presentation) 40%: 40.0%
Partial Reports 3*20%: 60.0%

Bibliography

Cloud computing (Part I), Sridhar, T., The Internet Protocol Journal, Volume 12, Número 3, 2009

Introduction to Data Science, Larose, Chantal D., Larose, Daniel T., John Wiley & Sons, Inc., 2019

Data Science for Business, Provost, F., Fawcett, T., O'Reilly Media, Inc., 2013, ISBN: 9781449361327