AIBS - Artificial Intelligence
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Program Type
Bachelor of Science
College
College of Science
Career
Undergraduate
Program Description
Emerging Artificial Intelligence technologies need leaders and innovators to meet the rapidly growing needs of the 21st century. Students pursuing a Bachelor of Science in Artificial Intelligence will study methods for constructing systems that display intelligent behavior. Modern applications of AI include autonomous vehicles, fraud detection, healthcare, agriculture, personal assistants, epidemiology, gaming, industrial robots, and smart appliances. The program will provide students with a solid foundation in Computer Science, and the theoretical background and practical training in Artificial Intelligence they need to build systems that transform unstructured data (such as images, video, audio, or natural language) and structured data (databases) into decisions.
This degree was designed to meet the needs of students who seek a professional career in AI application development, and who want to join industry as an AI expert upon graduation. The degree is also suitable for those who want to attend graduate school with an emphasis on AI theory or applications, or who want to combine AI with an interest in other fields of study. Students pursuing the degree will have the opportunity to work with the department's AI research group on impactful research in state-of-the-art facilities.
This degree was designed to meet the needs of students who seek a professional career in AI application development, and who want to join industry as an AI expert upon graduation. The degree is also suitable for those who want to attend graduate school with an emphasis on AI theory or applications, or who want to combine AI with an interest in other fields of study. Students pursuing the degree will have the opportunity to work with the department's AI research group on impactful research in state-of-the-art facilities.
Learning Outcomes
- Design, implement, and test programs that solve significant and meaningful problems, making appropriate design choices that best meet given requirements.
- Design and analyze algorithms and reason about their correctness and performance.
- Analyze and compare algorithms that learn from data, and evaluate their performance in realistic settings.
- Employ the underlying statistical and mathematical foundations of modern artificial intelligence and machine learning algorithms to build predictive models.
- Develop algorithmic solutions using AI techniques for a domain-specific problem and assess their societal impact when deployed.
- Design and analyze algorithms and reason about their correctness and performance.
- Analyze and compare algorithms that learn from data, and evaluate their performance in realistic settings.
- Employ the underlying statistical and mathematical foundations of modern artificial intelligence and machine learning algorithms to build predictive models.
- Develop algorithmic solutions using AI techniques for a domain-specific problem and assess their societal impact when deployed.