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Information Systems and Technologies Department
What is Information Systems and Technologies Department?
Information Systems and Technologies Department; It aims to train experts in the development and implementation of mathematical models of processes and objects, mathematical techniques, software, and tools to address science, technology, economy, and management problems.
Students in these programs can learn how to use their knowledge of computer software and systems to design and repair software for companies, businesses, non-profit organizations, and government agencies. Some programs allow students to choose an emphasis such as software design, web programming, game design, computer forensics, or information technology management.
Information Systems and Technologies Department Education Period How Many Years?
The Information Systems and Technologies Department is a 4-year undergraduate department, which is trained within the scope of the Faculty of Commercial Sciences or the Faculty of Applied Sciences. The department accepts students according to the numerical score type only.
What are the courses in the Information Systems and Technologies Department?
Candidate students aiming to receive education on information systems and technologies;
Computer Programming,
Algorithm Development,
Career and Life Program,
Data Structures and Algorithm,
Database Management,
Visual Programming,
Industry 4.0,
Computer Networks CISCO,
Operating Systems Management,
Object-based programming
And they will be trained in many other similar courses. Students who complete all these courses and their graduation projects in the 8-semester education process are entitled to receive the "Information Systems and Technologies Department Undergraduate Diploma".
What Does the Information Systems and Technologies Department Graduate Do?
Graduates can solve the problems of analyzing and synthesizing distributed information systems for real-time and decision support systems for difficult formalized tasks, building objects, and process models, data mining, digital processing of multidimensional data, selection of platforms, and tools for implementation.