Artificial Intelligence SRH University Heidelberg

Overview

The objectives of the Artificial Intelligence program at SRH University Heidelberg focus on communication of theoretical knowledge, practical skills and innovative thinking, to prepare students for successful careers in this dynamic and rapidly growing field.

Course objectives

• Deepening specialist knowledge in Artificial Intelligence: Fundamentals of AI: Teach fundamental concepts such as machine learning, computer vision, DSP, image processing, and deep neural networks. Advanced AI techniques: Dive deeper into topics such as deep learning, reinforcement learning, unsupervised learning and explainable AI. 
• Development of practical skills Programming and Algorithms: Proficiency in programming languages and tools used in AI development such as Python. Project-based learning approaches: Carrying out practical projects to develop and implement AI solutions in various application areas. 
• Promoting innovation and creativity Innovative Applications: Identify and develop new use cases for AI in areas such as healthcare, finance, automotive, retail and public sector. Research and development: Encourage participation in research projects and the publication of research results on current challenges and trends in AI. 
• Strengthen analytical and critical thinking skills Problem-based learning: Promote analytical thinking and problem-solving skills by analyzing real-world AI use cases and challenges. Data analysis and management: teaching methods for efficient management, analysis and interpretation of large amounts of data.
• Promote professional and ethical responsibility Ethics and Regulation: Discuss ethical issues and regulatory challenges related to AI, such as privacy, bias, and the impact on workplaces. Sustainability and social responsibility: Incorporating aspects of sustainability and social responsibility into the development and implementation of AI solutions.