| Objectives: |
The aim of this course is to help students grasp the integration of artificial intelligence technologies into business processes and equip them with practical knowledge and skills related to the emerging digital transformation dynamics in the business world. By learning fundamental AI applications such as machine learning, natural language processing, predictive analytics, robotic process automation, and decision support systems, students will gain competence in strategic decision-making, productivity enhancement, customer experience improvement, and sustainable business model building in businesses.
The course aims not only to convey theoretical knowledge but also to develop students' problem-solving, innovation, entrepreneurship, and data-driven thinking skills through project-based work, case studies, and industry collaborations. This way, students will develop into professionals who can create a competitive advantage in businesses through the use of AI and prioritize ethical and sustainability dimensions. |
| Content: |
The "Artificial Intelligence and Applications in Business" course covers the fundamental concepts of artificial intelligence and the integration of technologies such as machine learning, natural language processing, robotic process automation, and data analytics into business functions. The course presents AI use cases in areas such as marketing, finance, human resources, supply chain, and customer relations, while also addressing ethical, data security, and sustainability dimensions. In addition to the theoretical framework, case studies and project-based applications strengthen students' skills in developing innovative AI-powered business models, improving decision-making processes, and adapting to the dynamics of digital transformation. |