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    Eskişehir Academy of Economic and Commercial Sciences, founded in 1958, formed the basis of Anadolu University. The Academy was replaced by Anadolu University in 1982, which has gained a well-deserved place as a modern, dynamic and innovative institution among the largest universities not only in Türkiye, but also in the world.
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    Anadolu University Open Education Faculty plays an essential role in overcoming educational problems of Türkiye not only by providing open and distance education to 1 million active students and 4 million graduates but also by developing specific projects. Besides with those numbers, the system is among the mega universities of the world. By the constantly renewing method of open and distance education, it implements many initiatives and innovations in the Turkish Higher Education System.
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    Kısa adıyla BAP (Bilimsel Araştırma Projeleri), yüksek öğretim kurumlarındaki bilimsel araştırmaların desteklenmesi amacıyla geliştirilmiş bir uygulamadır. Bu uygulama YÖK'ün 01.01.2002 tarihinden geçerli olmak üzere yürülüğe aldığı Yükseköğretim Kurumları Bilimsel Araştırma Projeleri Hakkında Yönetmelik uyarınca gerçekleştirilmektedir. Üniversitemizin tüm öğretim elemanları BAP Komisyonuna başvurarak bilimsel araştırmaları için kaynak alabilirler.
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    At Anadolu University, social and cultural activities are as important as education and scientific research. The University frequently holds scientific events such as conferences, seminars, panels, congresses and symposia, and cultural activities such as exhibitions, stage performances and concerts. In addition to smaller conference halls in each unit, Atatürk Culture and Arts Center, Congress Center and Cinema Anadolu on Yunusemre Campus house many activities throughout the year.

ARTIFICIAL INTELLIGENCE-POWERED CODING

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Occupational Profiles of Graduates

The transformative impact of artificial intelligence technologies across all sectors has significantly increased the demand for software teams and intermediate

Artificial intelligence technologies are rapidly spreading across every sector of the 21st-century business world and have a transformative impact. AI-assisted software solutions, automation systems, and intelligent applications are utilized in nearly every field. This makes a qualified workforce with AI-assisted coding skills one of the most sought-after professional profiles of our time.

Graduates who successfully complete the Associate Degree Program in AI-Assisted Coding may be employed;

  • In software companies, as software developers who effectively use AI tools,
  • In banking, insurance, and financial technology (fintech) institutions, as AI-assisted automation and process developers,
  • In healthcare institutions, retail chains, and logistics companies, as AI-assisted application developers,
  • In digital transformation teams, as professionals familiar with the philosophy, ethics, and implementation principles of artificial intelligence, contributing to organizations' AI transformation processes,
  • In public institutions and organizations, as software developers in digital transformation and AI implementation processes.

In addition, graduates may establish their own technology ventures using AI tools within the startup ecosystem, or provide software development and AI consultancy services as freelancers.

professionals capable of using AI tools. Graduates of this program will have employment opportunities in a wide range of areas, including:

  • Software Companies: As software developers, testing specialists, and code generation assistants using AI-supported tools
  • Finance, Banking, and FinTech Sector: As developers of automation systems and AI-supported financial processes
  • Healthcare, Retail, and Logistics Fields: In the development of sector-specific intelligence applications that increase efficiency
  • Digital Transformation Teams of Public and Private Institutions: As technology professionals managing AI implementation processes with data security and ethical principles
  • Entrepreneurship Ecosystem: By establishing their own technology startups or working independently (freelance) as AI consultants/developers in national and international projects
  • Profile of the Programme
  • Specific Admission Requirements
  • Recognition of Prior Learning
  • Program Coordinator and Assistants
  • Field Qualifications
  • Key Learning Outcomes
  • Course Structure Diagram with Credits
  • Matrix of Program Outcomes&Field Qualifications
  • Matrix of Course& Program Qualifications
  • Examination Regulations, Assessment and Grading
  • Graduation Requirements
  • Access to Further Studies
  • Occupational Profiles of Graduates
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