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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
University at Buffalo 3 credits Computer Science & Engineering
This course will study key algorithms relevant to programming intelligent robots with a focus on the following questions: How might one program a robot to estimate the state of the world based on multiple sources of information? How might a robot create plans or control policies for performing tasks? How might a robot learn a control policy directly from experience? The course will cover topics in estimation, control, and planning with applications to robotics including: reinforcement learning, linear optimal control, randomized motion planning, trajectory optimization, Kalman filtering, particle filtering, and selected topics in optimization. Pre-Requisite: (CSE 250 or EAS 230 or EAS 240 or CSE 115 or EAS 999TRCP and (EE 305 or EAS 305 or MTH 411 or STA 301 and STA 301 ); Computer Science, Computer Engineering, Robotics Minor or Bioinformatics majors only. Students must complete a mandatory advisement session with their faculty advisor.
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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
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