पाठ्यक्रम परिवर्तनशीलता

पाठ्यक्रमबारे सारश

The Machine Learning and Decision Making Group develops new methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. They apply these methods to applications in disease outbreak surveillance, treatment error detection, high throughput genomic and proteomic data analysis, the monitoring and learning of traffic flows, diagnosis, and strategic financial planning within organizations. Within the Machine Learning Group, students conduct research in diverse fields. Several students conduct research in the bioinformatics domain, covering analyses in genomic and proteomic data, as well as mining novel concepts from biomedical literature. A major effort has also led to the development of clinical systems for diagnosis and anomaly detection, using the latest methods in temporal reasoning and feature extraction. In addition, methods have been developed for modeling complex traffic patterns and planning in reward-based environments. The group also includes the Decision Systems Laboratory (DSL), which maintains a research and teaching environment for faculty and students interested in developing techniques and systems that support decision making under uncertainty as well as system modeling and discovery. Their methods include theoretical work in machine learning, Bayesian analysis and causal discovery, system building, and empirical studies. DSL relies on probabilistic, decision-theoretic, and econometric techniques combined with artificial intelligence approaches.

अन्तर्राष्ट्रिय विद्यार्थीहरू प्रवेशको लागि आवश्यकता

The admissions committee is looking for students with strong research potential. Applicants should have evidence of advanced standing and outstanding performance in some of the core areas relevant to the study of intelligent systems, including theoretical and applied computer science, cognitive psychology, other areas of cognitive science, and symbolic programming and software engineering. A BA or BS in one of these areas provides good preparation for entering the program.

योग्यता

स्नातकोत्तर उपाधि

प्रदान गर्ने निकाय

UNIVERSITY OF PITTSBURGH

विभागको नाम

Intelligent Systems Program