3- Intended Learning Outcome :-

a- Knowledge and Understanding :-

 a1- Theories in  the field Natural Language Processing and Machine Translation and  their related fields.

 a2-  Fundamentals and current state-of-the-art in  the field of Natural Language Processing and Machine Translation  and  their related fields.

 a3-  Mutual influence between professional practice and its impacts on the environment.

 a4- Scientific developments in the field of Natural Language Processing and Machine Translation

 a5-  Basics and ethics of scientific research.

b-Intellectual Skills :-

b1- Analyze the information in the field of Natural Language Processing and Machine Translation and extract data from it.

b2- Evaluate the information in the field of Natural Language Processing and Machine Translation and measure its effectiveness.

b3- Assess risks in professional  Natural Language Processing and Machine Translation practices.

b4- Take professional decisions in different scenarios related to the field of Natural Language Processing and Machine Translation.

c-Professional Skills :-

c1- Mastering the basic and modern professional skills in the field of Natural Language Processing and Machine Translation.

c2- Design, implement and test algorithms for NLP problems (measured by problem sets).

 d-General Skills :-

 d1- Use the information technology to develop the professional practice.

  d2- Establish rules and indicators for assessing the performance of others.