Cloud Technologies and Web Analytics

Objectives:

The main objective of the course is the theoretical and practical training in order to familiarize students with topics of data management and analysis especially for Web systems and with the concepts of cloud computing and datacenters.

Skills:

By the end of the course, students will be able to:
- understand cloud computing concepts, services and technologies, and datacenters
- model, manage and analyze relational data

- develop skills and knowledge in issues such as Web data analysis using appropriate software.

Prerequisites:

-

Content:

By the end of the course, students will be able to:
- understand cloud computing concepts, services and technologies, and datacenters
- model, manage and analyze relational data

- develop skills and knowledge in issues such as Web data analysis using appropriate software.

Textbooks:

For cloud technologies:

• Cloud computing: Αρχές, τεχνολογία και αρχιτεκτονική, T. Erl, Z. Mahmoud and R. Puttini, Γκιούρδας 2015.
• Cloud computing: Μια πρακτική προσέγγιση, A. E. Velte, T. Velte and R. Elsenpeter, Γκιούρδας 2010.

For Web Analytics:

• Database Management Systems (3rd edition), by Raghu Ramakrishnan and Johannes Gehrke, McGraw-Hill, 2002.
• Bing Liu, “Web Data Mining - Exploring Hyperlinks, Contents, and Usage Data”, Springer 2011

Τεχνολογίες Παγκόσμιου Ιστού και Ηλεκτρονικού Εμπορίου, Χ. ΓΕΩΡΓΙΑΔΗΣ, Εκδόσεις Κάλλιπος 2015, https://repository.kallipos.gr/handle/11419/2288, http://repfiles.kallipos.gr/html_books/9536/

Assessment:

Assignments (50%)

Final Exam (50%)

Wepbage:

https://openeclass.uom.gr/modules/work/?course=MAI112