BİLGİ PAKETİ / DERS KATALOĞU
Degree Programs
INFORMATION TECHNOLOGIES (MASTER) (WITH THESIS) (ENGLISH)
Diploma SupplementNational Qualifications
INFORMATION TECHNOLOGIES (MASTER) (WITH THESIS) (ENGLISH)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Program Outcomes

Classified

1 - Knowledge
Theoretical - Conceptual
1) Ability to analyze and interpret complex big data systems.
2 - Skills
Cognitive - Practical
1) Ability to use and apply current technical concepts and practices in the information technologies of software engineering, data management and computer security.
2) Understanding user needs, analyzing them, and using them in the selection, evaluation, and management of computer-based systems.
3) Ability to use data structures and develop algorithms.
4) Ability to interpret and apply concepts and algorithms in machine learning.
5) Understanding of the mathematical foundations of deep learning in the field of data analysis and the ability to apply the theory.
6) Ability to solve complex data structures, develop and apply deep learning models, and interpret artificial intelligence-focused research on these topics.
7) Ability to apply deep learning techniques and interpret real-world datasets and projects to solve problems in image analysis, natural language processing, and recommendation systems.
8) Ability to understand of how genes function in multicellular species, the flow of genetic information in single-cell organisms, and the ability to interpret and apply biotechnology applications.
3 - Competences
Communication and Social Competence
Learning Competence
1) Ability to transfer the basic principles and mathematical infrastructure of digital signal processing to practical applications.
2) Gaining knowledge about the tools and technologies used via the Internet and the different technologies used for server coding languages and tools.
3) Being aware of ethical values and understanding the need to conduct research and practice within the framework of these values.
Field Specific Competence
Competence to Work Independently and Take Responsibility

Program Gains Program Level

Program Outcomes TR-NQF-HE 7 (Master) Level Descriptors TR-NQF-HE Main Field Descriptors
44 - Physical science		 TR-NQF-HE Main Field Descriptors
46 - Mathematics and statistics		 TR-NQF-HE Main Field Descriptors
48 - Computing		 TR-NQF-HE Main Field Descriptors
52 - Engineering and Engineering Trades		 TR-NQF-HE Main Field Descriptors
72 - Health
1 - Knowledge
Theoretical - Conceptual
1) Ability to analyze and interpret complex big data systems.
2 - Skills
Cognitive - Practical
1) Ability to use and apply current technical concepts and practices in the information technologies of software engineering, data management and computer security.
2) Understanding user needs, analyzing them, and using them in the selection, evaluation, and management of computer-based systems.
3) Ability to use data structures and develop algorithms.
4) Ability to interpret and apply concepts and algorithms in machine learning.
5) Understanding of the mathematical foundations of deep learning in the field of data analysis and the ability to apply the theory.
6) Ability to solve complex data structures, develop and apply deep learning models, and interpret artificial intelligence-focused research on these topics.
7) Ability to apply deep learning techniques and interpret real-world datasets and projects to solve problems in image analysis, natural language processing, and recommendation systems.
8) Ability to understand of how genes function in multicellular species, the flow of genetic information in single-cell organisms, and the ability to interpret and apply biotechnology applications.
3 - Competences
Communication and Social Competence
Learning Competence
1) Ability to transfer the basic principles and mathematical infrastructure of digital signal processing to practical applications.
2) Gaining knowledge about the tools and technologies used via the Internet and the different technologies used for server coding languages and tools.
3) Being aware of ethical values and understanding the need to conduct research and practice within the framework of these values.
Field Specific Competence
Competence to Work Independently and Take Responsibility

Conjoined

1) Ability to use and apply current technical concepts and practices in the information technologies of software engineering, data management and computer security.
2) Understanding user needs, analyzing them, and using them in the selection, evaluation, and management of computer-based systems.
3) Ability to use data structures and develop algorithms.
4) Ability to analyze and interpret complex big data systems.
5) Ability to interpret and apply concepts and algorithms in machine learning.
6) Understanding of the mathematical foundations of deep learning in the field of data analysis and the ability to apply the theory.
7) Ability to solve complex data structures, develop and apply deep learning models, and interpret artificial intelligence-focused research on these topics.
8) Ability to apply deep learning techniques and interpret real-world datasets and projects to solve problems in image analysis, natural language processing, and recommendation systems.
9) Ability to transfer the basic principles and mathematical infrastructure of digital signal processing to practical applications.
10) Gaining knowledge about the tools and technologies used via the Internet and the different technologies used for server coding languages and tools.
11) Ability to understand of how genes function in multicellular species, the flow of genetic information in single-cell organisms, and the ability to interpret and apply biotechnology applications.
12) Being aware of ethical values and understanding the need to conduct research and practice within the framework of these values.