3- Intended Learning Outcome :-
a- Knowledge and Understanding :-
a1- Describe state-of-the-art and state-of-the-practice activities in the knowledge and data engineering area.
a2- Understand the standards that govern the provisioning of databases.
a3- Deal with a high level of data quality and accessibility for business intelligence and data analytics applications.
a4- Determine the form of the query and to perform some data normalization.
a5- Incorporate technologies that are suited to processing and storing nontransactional forms of data.
a6- Understand the principles of data mining and data integration.
a7- Deal with relational databases and traditional data warehouse platforms.
b- Intellectual Skills :-
- Define traditional and nontraditional information systems problems.
- Analyze assembled data and information Select suitable tools for analyzing big data and transaction processing.
b4. Optimize both analytical and transactional processing.
b5. Engineering the structure and access of data entities.
c- Professional Skills :-
c1.Justify technological, methodological and management choices for an information system project for a given organization.
c2.Apply techniques for the analyzing and classifying data and development of applications.
c3.Managing reporting solutions to meet business requirements and industry practices.
c4.Recommend ways to improve the quality of data.
d- General Skills :-
d1. Be capable of applying both traditional and new concepts.
d2. Effectively employ information-retrieval skills, (including the use of browsers, search engines, and on-line library catalogues).
d3. Work within and contribute to a team, apply management.
d4. Effective communication skills and good vision.