Bachelor of Science in Electrical Engineering - Artificial Intelligence and Machine Learning Systems
在壬色列理工學院
關於課程
Research in this area covers a range of technologies and applications and overlaps those in several research areas described below. The next industrial revolution will largely be driven by Intelligent Technologies (ITs). It will mark with the ubiquitous presence and applications of intelligent algorithms and systems, such as autonomous machines and smart devices. ECSE faculty has a long tradition in developing intelligent technologies. The research activities expand into fundamental advances in AI and machine learning, theory of learning, novel AI algorithms and architectures, and software engineering principles for AI systems (including topics in scalability, robustness, fairness, and verification). In addition to fundamental AI, applied research activities extend to, but are not limited to, applications of AI and ML in computer vision, image processing, cybersecurity, cyber-physical systems, Internet of Things (IoT) and edge-computing, autonomous systems, etc.
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Entry requirements for 壬色列理工學院
Official copies of all academic transcripts from secondary schools, with English translations.
The TOEFL is required for all non-native English speakers, and Rensselaer expects a minimum TOEFL score of at least 88 iBT, or 570 PBT. An IELTS score of at least 7.0.
English language requirements
托福(TOEFL iBT)總分: 88.0
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