Information Systems Development
Objectives
The main objective of the course is to introduce the main questions associated with the development of information systems and Software Engineering.
It is intended to present the key technologies and the main models of software development processes.
General characterization
Code
200195
Credits
4.0
Responsible teacher
Vítor Manuel Pereira Duarte dos Santos
Hours
Weekly - Available soon
Total - Available soon
Teaching language
Portuguese. If there are Erasmus students, classes will be taught in English
Prerequisites
n/a
Bibliography
- Pressman, Roger (2014) Software Engineering: A Practitioner's Approach, 8th edition, McGraw-Hill, ISBN-10: 9780078022128
- Requirements Analysis: From Business Views to Architecture David C. Hay Prentice Hall (2002) ISBN:9780130282286
- Effective Methods for Software Testing, 3rd Edition William E. Perry Wiley (2006) ISBN:978-0764598371
-Guerreiro, Sérgio (2015) Introdução à Engenharia de Software, FCA ; ISBN 9789727227952
- Jessup, Leonard, e Valacich, Joseph (2003) ¿Information Systems Today¿ Upper Saddle River, New Jersey: Prentice-Hall, Incorporated.
- Stair, Ralph M., e Reynolds, George W. (2006) ¿Principles of Information Systems, 7th edition) Boston, Massachusetts: Course Technology;
- Avgerou, C. e T. Cornford (1998) ¿Developing Information Systems: Concepts, Issues and Practice, 2nd edition¿ Basingstoke: Macmillan;
- UML Metodologias e ferramentas CASE, by Alberto Silva e Carlos Videira, Centro Atlântico, ISBN:989-61 5-0095
- Fundamental UML (Third Edition), by Mauro Nunes e Henrique O´Neill, FCA-Lidel, ISBN:972-722-481-4
Teaching method
The curricular unit is based on theoretical and practical lessons. A variety of instructional strategies will be applied, including lectures, slide show demonstrations, step-by-step applications (with and without software), questions and answers. The sessions include presentation of concepts and methodologies, solving examples, discussion and interpretation of results. The practical component is geared towards solving problems and exercises, including discussion and interpretation of results. A set of exercises to be completed independently in extra-classroom context is also proposed.
Evaluation method
The learning objectives associated with the last three learning units are assessed both in the practical tests component and through the exam. The tests, and the final exam, require students to integrate the entire content of the course and prove their mastery of it
Practical assignments (40%), Exam (60%)
Subject matter
1. General concepts
- Characterization of the Software product
- Software engineering basic elements
- Programming paradigms
2. Technologies
- Fundamentals, architectures and platforms of information and communication technologies
- Concepts about data, organization and management of data, information and communication
- Strategic value of computer networks and telecommunications
- Typologies, architectures and devices of local and remote networks (Intranet and Internet)
- Cloud computing
- Mobile and ubiquitous computing
- IoT
3. Software Architectures, Systems and Infrastructure
4. Software Engineering
- Requirement specification and software design
- Origin, structure and components of Unified Modeling Language (UML);
- HCI fundamentals
- Database design
- Apps & Web Applications
5. Models of software development processes
- Prescriptive models: Linear sequential, RAD , prototyping, evolutionary models, RUP, Iconix
- Agile methods: XP, Scrum and Crystal, DevOps
Programs
Programs where the course is taught:
- Specialization in Information Analysis and Management
- Specialization in Risk Analysis and Management
- Especialização em Data Science for Marketing
- Especialização em Digital Marketing and Analytics
- Specialization in Knowledge Management and Business Intelligence
- Specialization in Information Systems and Technologies Management
- Especialização em Marketing Intelligence
- Specialization in Marketing Intelligence
- Especialização em Marketing Research e CRM
- Specialization in Marketing Research and CRM
- Laboral - Especialização em Digital Marketing and Analytics
- Specialization in Knowledge Management and Business Intelligence – Working Hours Format
- Specialization in Information Systems and Technologies Management - Working Hours Format
- Laboral - Especialização em Marketing Intelligence
- Specialization in Marketing Intelligence - Working Hours Format
- Mestrado em Data-Driven Marketing
- Post-Graduation in Information Analysis and Management
- Post-Graduation Risk Analysis and Management
- PostGraduate in Data Science for Marketing
- PostGraduate in Digital Enterprise Management
- PostGraduate Digital Marketing and Analytics
- PostGraduate in Information Management and Business Intelligence in Healthcare
- Post-Graduation in Knowledge Management and Business Intelligence
- Post-Graduation Information Systems and Technologies Management
- PostGraduate in Marketing Intelligence
- PostGraduate Marketing Research e CRM
- PostGraduate in Enterprise Information Systems