Mission
To educate graduates who possess a mastery of fundamental theoretical knowledge in the field of artificial intelligence and data science, have high practical application skills, and adhere to professional ethical values; and to provide scientific solutions to the digital transformation needs of local and national stakeholders.
Vision
To be a reputable department that is recognized as a national reference for its quality in education and research, and that contributes to industry and scientific literature through the reliable artificial intelligence solutions it develops.
University Mission Components (UMC)
| UMC1: To conduct output and impact-oriented research. |
| UMC2: To provide applied education and training. |
| UMC3: To carry out inclusive community service activities. |
| UMC4: To create sustainable value for our stakeholders. |
Faculty Mission Components (FMC)
| FMC1: To provide applied and project-based education and training. |
| FMC2: To conduct output and impact-oriented research. |
| FMC3: To develop sustainable collaborations with stakeholders. |
| FMC4: To educate qualified human resources capable of contributing to digital transformation. |
| FMC5: To generate measurable and sustainable value for society. |
| FMC6: To generate academic and technological outputs. |
Department Mission Components (DMC)
| DMC1: To educate experts equipped with deep technical knowledge in the fields of data science and machine learning. |
| DMC2: To cultivate visionary leaders who will guide digital transformation processes. |
| DMC3: To contribute to scientific literature and technology by generating meaningful knowledge from complex data. |
| DMC4: To develop original algorithms and innovative solutions through applied research. |
| DMC5: To create measurable value by providing data-driven, smart solutions to societal problems. |
| DMC6: To be a pioneer at the international level in the development of reliable and ethical artificial intelligence systems. |
Program Educational Objectives (PEO)
| PEO1: To educate experts who create value from complex data and lead digital transformation in organizations operating in the fields of data science and intelligent systems. |
| PEO2: To contribute to technology production in R&D centers or academic environments through the competence to develop original algorithms and innovative IT solutions. |
| PEO3: To pioneer reliable and society-oriented technological solutions by observing data privacy and ethical values in the design of artificial intelligence systems. |
| PEO4: To cultivate professionals who work effectively in interdisciplinary teams, follow global developments, respect ethical values, and possess a strong sense of social responsibility. |
Alignment of the Department Mission with the University and Faculty Missions
Alignment of Program Educational Objectives with the University, Faculty, and Department Missions
