|
Main Bibliography |
Liu, Bing. Web data mining: exploring hyperlinks, contents, and usage data. Vol. 1. Berlin: Springer, 2011.
Zdravko Markov and Daniel T. Larose. Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage, Wiley, 2007, ISBN: 978-0-471-66655-4.
Eibe Frank, Mark A. Hall, and Ian H. Witten (2016). The WEKA Workbench. Online Appendix for "Data Mining: Practical Machine Learning Tools and Techniques", Morgan Kaufmann, Fourth Edition, 2016.
DuBois, Paul. MySQL. Pearson Education, 2008.
Alexandre Pereira e Carlos Poupa, “Linguagens Web”, 5.ª ed. Lisboa: Sílabo, 2013. ISBN: 978-972-818-715-8.
Tim Converse and Joyce Park, “PHP Bible”, 2nd Edition, Wiley, ISBN: 978-0-7645-4955-7.
Leon Shklar and Rich Rosen, “Web Applicatin Architecture: Principles, Protocols and Practices”, 2nd Edition, Wiley, 2009.
Tutoriais da W3Schools: http://www.w3schools.com
Alexis Goldstein, Louis Lazaris and Estelle Weyl, “HTML5 and
|
|
Teaching Methodologies and Assessment Criteria |
The students are graded using two theoretical tests and two practical tests that are done individually, that are focused on the topics presented so far in the course. By doing this, we are evaluating the student's progress in terms of the acquisition of competences.
The theoretical tests are used to evaluate the knowledge acquisition at a more abstract level while the practical tests are used to evaluate the learning progress on problem resolution using the acquired knowledge.
The students can improve the grades they obtained at the end of the semester by doing a written exam, and keeping the best grade. But to do this they are required to have a minimum grade on the evaluation done during the semester.
|