3- Intended Learning Outcome:

a- Knowledge and Understanding:

A1) Theories, basics and recent knowledge in the field of Machine learning and data mining.

A2) Demonstrate understanding of the theory of software metrics and be able to make software measurements in practice.

A3) Theories, basics and recent knowledge in the field of High performance Computing.

A4) Relate quality to the current standards for process improvement.

A5) Describe how quality issues affect each aspect of the software development life-cycle.

A6) Basics, vocations, scientific research ethics and its different tools.

b-Intellectual Skills:

B1) Analyze the information in the field of Machine Learning and Data Mining and extract data from it.

B2) Evaluate the information in the field of Machine Learning and Data Mining and extract data from it.

B3) Analyze the information in the field of High performance Computing and extract data from it.

B4) Evaluate the information in the field of High performance Computing and extract data from it.

B5) Research a given topic using a variety of sources including books, current articles and research papers and web-resources.

B6) Choose appropriate strategies for software testing and validation, and discuss how to implement them.

c-Professional Skills:

C1) Perfect recent and essential vocational skills in the field of Machine Learning and Data Mining.

C2) Perfect recent and essential vocational skills in the field of High Performance Computing

C3) Write and evaluate vocational reports.

C4) Evaluate and develop ways and existing tools in the field of Machine Learning and Data Mining.

C5) Evaluate and develop ways and existing tools in the field of High Performance Computing.

d-General Skills:

D1) Using information technology within what serves developing vocational practice.

D2) Managing scientific meetings and being able to manage time.