Artificial Intelligence Operation

• Unmanned Aerial Vehicle Technology and Operation Program
• Artificial Intelligence Operation

About the Program

Message from the Program Head

Dear Students,

No English description is available for this course.

No English description is available for this course.

Upon graduation, in companies that develop or use artificial intelligence technologies;

• AI system operator, data application technician, test and maintenance specialist such as duties in which they can take part,
• With advanced graduate education, you will be able to deepen your expertise in this field.

In this age in which artificial intelligence is shaping the future, a program that does not merely steer the future, but designs it together if you wish to take part, you are in the right place.

At Hasan Kalyoncu University Vocational School, you will graduate with a strengthened academic and technical foundation, as individuals with command of both the field and the sector.

Invest in your future from today. Let us discover the power of artificial intelligence together.

With kind regards, Program Head, Artificial Intelligence Operation Program

Hasan Kalyoncu University Vocational School

Lect. Cansu OĞUZLecturer

Program Educational Objectives

1. 1Training graduates with sufficient technical knowledge of the basic concepts, working principles and areas of use of artificial intelligence, machine learning and deep learning technologies.
2. 2Training individuals who can use basic software tools, programming languages and development environments used in artificial intelligence applications.
3. 3Training individuals who can collect, organize and preprocess data for use in artificial intelligence systems, and carry out basic data analysis operations.
4. 4Training individuals who recognize machine learning and deep learning methods, can apply basic models using appropriate tools, and can evaluate model results.
5. 5To train individuals who can recognize the core technologies used in different artificial intelligence application areas such as image processing, natural language processing and generative artificial intelligence, and who can support the implementation of these technologies.
6. 6Training individuals with the technical knowledge and skills to contribute to the development, testing, operation and improvement processes of artificial intelligence-supported applications.
7. 7Training individuals who have knowledge of databases, APIs and basic software integration methods used in artificial intelligence applications, and who can carry out basic operations for the use of these technologies.
8. 8Training individuals who can think data-driven, select suitable tools and methods, and contribute to solution processes in solving basic problems encountered in artificial intelligence applications.
9. 9Training individuals who are aware of data privacy, information security, personal data protection, professional ethics, responsible artificial intelligence and related legal regulations in the use of artificial intelligence technologies.
10. 10Raising individuals who are inclined to teamwork, can work across disciplines, follow technological developments, are open to continuously improving their professional knowledge and skills, and can express their thoughts effectively in writing and orally.

Program Outcomes

1. 1Having knowledge of the basic mathematical, statistical and algorithmic infrastructure of artificial intelligence systems, and being able to use this knowledge in solving artificial intelligence problems.
2. 2Being able to design and develop artificial intelligence-based systems, models and processes in line with the given requirements.
3. 3Being able to effectively use the programming languages, software development environments, libraries and modern software tools required for artificial intelligence applications.
4. 4Being able to determine suitable data sets for use in artificial intelligence applications, and to carry out data collection, cleaning, preprocessing and data analysis processes.
5. 5Being able to build, train and evaluate machine learning and deep learning models, and to make the necessary improvements by monitoring their performance.
6. 6Having basic knowledge of hardware, cloud-based platforms and accelerator technologies used in artificial intelligence systems, and being able to use them in line with application requirements.
7. 7Being able to analyze the causes of problems encountered in artificial intelligence applications, determine appropriate solution methods, and use theoretical knowledge in application and project work.
8. 8Being able to take responsibility as an individual and as a team member in artificial intelligence projects; being able to integrate knowledge obtained from different disciplines and to present project results supported by qualitative and quantitative data.
9. 9Being able to act in line with ethical, legal, social responsibility, data privacy, information security and professional ethical principles in the development and use of artificial intelligence technologies.
10. 10Having command of technical terminology in the field of artificial intelligence and the proficiency to understand technical documents in a foreign language at a basic level; following current developments, trends and new technologies and using the knowledge acquired in their professional development.

Program Faculty

Management

Asst. Prof. Sena TAŞHead of Departmentsena.tas@hku.edu.tr0(342) 211 8080Curriculum Vitae (CV)

Lect. Cansu OĞUZProgram Headcansu.oguz@hku.edu.tr0(342) 211 8080Curriculum Vitae (CV)

Academic Staff

Asst. Prof. Kadir Sercan BAYRAMFaculty Membersercan.bayram@hku.edu.tr

Asst. Prof. Ali Emre ÖZTÜRKFaculty Memberemre.ozturk@hku.edu.tr

Lect. Ömer KARAGÖZLectureromer.karagoz@hku.edu.tr0(342) 211 8080Curriculum Vitae (CV)Office hours: 13.30-15.30 / Tuesday / SFL 208 (Office)

Lect. Mehmet NACARLecturermehmet.nacar@hku.edu.tr0(342) 211 8080Curriculum Vitae (CV)Office hours: 13.40-15.40 / Wednesday / SFL 208 (Office)

Lect. Cansu OĞUZLecturercansu.oguz@hku.edu.tr0(342) 211 8080Curriculum Vitae (CV)Office hours: 13.30-15.30 / Monday / SFL 207 (Office)

Administrative Staff

Current Curriculum

Course Contents

Course details for this program have not yet been published in the Information Package; please see the current course list Information Package…can be reached. Course contents are included below in the same version as on the site.

Course Schedules

Exam Schedules

Previous Curricula

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Stakeholder and Advisory Board

Frequently Asked Questions