RE:BASED ON YOUR INFO: POSSIBLE TRIAL MATCHES - Aug 29, 2026
Hi cengkroex, RE:BASED ON YOUR INFO: POSSIBLE TRIAL MATCHES - Aug 29, 2026______________________________RE:BASED ON YOUR INFO: POSSIBLE TRIAL MATCHES - Aug 29, 2026______________________________ Limited-Time Offer Update your payment information to continue enjoying uninterrupted access to your account, files, and stored data.------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ++++++ awareness and appreciation for why uncertainty matters, particularly for aerospace applications. Introduces decision making under uncertainty from a computational perspective and provides an overview of the necessary tools for building autonomous and decision-support systems. Following an introduction to probabilistic models and decision theory, the course will cover computational methods for solving decision problems with stochastic dynamics, model uncertainty, and imperfect state information. Topics include: Bayesian networks, influence diagrams, dynamic programming, reinforcement learning, and partially observable Markov decision processes. Applications cover: air traffic control, aviation surveillance systems, autonomous vehicles, and robotic planetary exploration. Prerequisites: basic probability and fluency in a high-level programming language. Terms: Aut | Units: 3-4 Instructors: Kochenderfer, M. (PI) ; Baker, K. (TA) ; Balamurugan, N. (TA) ... more instructors for AA 228 » Schedule for AA 228 2025-2026 Autumn AA 228 | 3-4 units | UG Reqs: None | Class # 2305 | Section 01 | Grading: Letter or Credit/No Credit | LEC | Session: 2025-2026 Autumn 1 | In Person | Students enrolled: 157 09/22/2025 - 12/05/2025 Tue, Thu 9:00 AM - 10:20 AM at NVIDIA Auditorium with Kochenderfer, M. (PI); Baker, K. (TA); Balamurugan, N. (TA); Barbosa Carneiro, A. (TA); Chudnovsky, J. (TA); Edwards, L. (TA); Fein, D. (TA); Garg, R. (TA); Kang, J. (TA); Khare, I. (TA); Lasic-Ellis, I. (TA); Narayanaswamy, C. (TA); Parjan, S. (TA); Ramkumar, S. (TA); Thomas, R. (TA); Venkatesh, V. (TA); Voss, A. (TA); Wang, J. (TA); Weatherspoon, S. (TA); Wu, B. (TA) Instructors: Kochenderfer, M. (PI); Baker, K. (TA); Balamurugan, N. (TA); Barbosa Carneiro, A. (TA); Chudnovsky, J. (TA); Edwards, L. (TA); Fein, D. (TA); Garg, R. (TA); Kang, J. (TA); Khare, I. (TA); Lasic-Ellis, I. (TA); Narayanaswamy, C. (TA); Parjan, S. (TA); Ramkumar, S. (TA); Thomas, R. (TA); Venkatesh, V. (TA); Voss, A. (TA); Wang, J. (TA); Weatherspoon, S. (TA); Wu, B. (TA) Additional Resources: (Login to view additional resources) AA 236A: Spacecraft Design This course focuses on the design and implementation of spacecraft deployable structure systems. Students are introduced to the requirements driving the design of large spacecraft structures, various design approaches to realize deployable structures, and modeling and analysis tools for the design of deployable structures. Students will design a concept for a deployable spacecraft ++++++ Reset your password google.com ------------------- Reset your password ------------------- Follow this link to reset your customer account password at google.com ( https://www.google.com?syclid=inA7UCDawNm9jt9x-r1gjtzek-lp16r0m5-es7h1hi6-ug3u7muljd382lc70afh454u ) . If you didn't request a new password, you can safely delete this email. Reset your password ( https://www.google.com/account/reset/8111988628809/v9fzz8mjhkui1io7dv0ogceqaap9ru2o-60182347547?syclid=4Tdr8FhMlA9chnvl-djv20plj-0ivnf7vn-q26no5wg-fopati49evmio9shl0dz5omi ) or Visit our store ( https://www.google.com?syclid=z0kk36m9nbaf3g0w-s4pgfkfg-bpll4hlw-0ubpfti6-macjiomxekm2po8ri6z0rw52) If you have any questions, reply to this email or contact us at questions@google.com RETURN@google.com qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu 33Gdc43k3h7SZVx18jevfjgf8N8WWPnXSXQzWzqPF6y57RiUHOBXWAq@nrfvrnfroelo-swkmod.org onqHHOx2driZF6UgguJvlFKOsacH39KVjPecM9MxTpAFGtB1816is8K@nrfvrnfroelo-swkmod.org ViofnaB79Ri0j8gPcI2AiWfC9izxPg3fMzs4dyINqOYE5gITK0qDt01@nrfvrnfroelo-swkmod.org TvhfO2Uf1myUBC0jH40igDmjtcuK2WtbljaZRTzLmQj3BMpZfpA9cH8@nrfvrnfroelo-swkmod.org 42MsPgH4r4hA1UITSWgZYAVZMq9nULGDpDiXEhysFNldxo4UFRMuEgp@nrfvrnfroelo-swkmod.org awareness and appreciation for why uncertainty matters, particularly for aerospace applications. Introduces decision making under uncertainty from a computational perspective and provides an overview of the necessary tools for building autonomous and decision-support systems. Following an introduction to probabilistic models and decision theory, the course will cover computational methods for solving decision problems with stochastic dynamics, model uncertainty, and imperfect state information. Topics include: Bayesian networks, influence diagrams, dynamic programming, reinforcement learning, and partially observable Markov decision processes. Applications cover: air traffic control, aviation surveillance systems, autonomous vehicles, and robotic planetary exploration. Prerequisites: basic probability and fluency in a high-level programming language. Terms: Aut | Units: 3-4 Instructors: Kochenderfer, M. (PI) ; Baker, K. (TA) ; Balamurugan, N. (TA) ... more instructors for AA 228 » Schedule for AA 228 2025-2026 Autumn AA 228 | 3-4 units | UG Reqs: None | Class # 2305 | Section 01 | Grading: Letter or Credit/No Credit | LEC | Session: 2025-2026 Autumn 1 | In Person | Students enrolled: 157 09/22/2025 - 12/05/2025 Tue, Thu 9:00 AM - 10:20 AM at NVIDIA Auditorium with Kochenderfer, M. (PI); Baker, K. (TA); Balamurugan, N. (TA); Barbosa Carneiro, A. (TA); Chudnovsky, J. (TA); Edwards, L. (TA); Fein, D. (TA); Garg, R. (TA); Kang, J. (TA); Khare, I. (TA); Lasic-Ellis, I. (TA); Narayanaswamy, C. (TA); Parjan, S. (TA); Ramkumar, S. (TA); Thomas, R. (TA); Venkatesh, V. (TA); Voss, A. (TA); Wang, J. (TA); Weatherspoon, S. (TA); Wu, B. (TA) Instructors: Kochenderfer, M. (PI); Baker, K. (TA); Balamurugan, N. (TA); Barbosa Carneiro, A. (TA); Chudnovsky, J. (TA); Edwards, L. (TA); Fein, D. (TA); Garg, R. (TA); Kang, J. (TA); Khare, I. (TA); Lasic-Ellis, I. (TA); Narayanaswamy, C. (TA); Parjan, S. (TA); Ramkumar, S. (TA); Thomas, R. (TA); Venkatesh, V. (TA); Voss, A. (TA); Wang, J. (TA); Weatherspoon, S. (TA); Wu, B. (TA) Additional Resources: (Login to view additional resources) AA 236A: Spacecraft Design This course focuses on the design and implementation of spacecraft deployable structure systems. Students are introduced to the requirements driving the design of large spacecraft structures, various design approaches to realize deployable structures, and modeling and analysis tools for the design of deployable structures. Students will design a concept for a deployable spacecraft qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu ###### awareness and appreciation for why uncertainty matters, particularly for aerospace applications. Introduces decision making under uncertainty from a computational perspective and provides an overview of the necessary tools for building autonomous and decision-support systems. Following an introduction to probabilistic models and decision theory, the course will cover computational methods for solving decision problems with stochastic dynamics, model uncertainty, and imperfect state information. Topics include: Bayesian networks, influence diagrams, dynamic programming, reinforcement learning, and partially observable Markov decision processes. Applications cover: air traffic control, aviation surveillance systems, autonomous vehicles, and robotic planetary exploration. Prerequisites: basic probability and fluency in a high-level programming language. Terms: Aut | Units: 3-4 Instructors: Kochenderfer, M. (PI) ; Baker, K. (TA) ; Balamurugan, N. (TA) ... more instructors for AA 228 » Schedule for AA 228 2025-2026 Autumn AA 228 | 3-4 units | UG Reqs: None | Class # 2305 | Section 01 | Grading: Letter or Credit/No Credit | LEC | Session: 2025-2026 Autumn 1 | In Person | Students enrolled: 157 09/22/2025 - 12/05/2025 Tue, Thu 9:00 AM - 10:20 AM at NVIDIA Auditorium with Kochenderfer, M. (PI); Baker, K. (TA); Balamurugan, N. (TA); Barbosa Carneiro, A. (TA); Chudnovsky, J. (TA); Edwards, L. (TA); Fein, D. (TA); Garg, R. (TA); Kang, J. (TA); Khare, I. (TA); Lasic-Ellis, I. (TA); Narayanaswamy, C. (TA); Parjan, S. (TA); Ramkumar, S. (TA); Thomas, R. (TA); Venkatesh, V. (TA); Voss, A. (TA); Wang, J. (TA); Weatherspoon, S. (TA); Wu, B. (TA) Instructors: Kochenderfer, M. (PI); Baker, K. (TA); Balamurugan, N. (TA); Barbosa Carneiro, A. (TA); Chudnovsky, J. (TA); Edwards, L. (TA); Fein, D. (TA); Garg, R. (TA); Kang, J. (TA); Khare, I. (TA); Lasic-Ellis, I. (TA); Narayanaswamy, C. (TA); Parjan, S. (TA); Ramkumar, S. (TA); Thomas, R. (TA); Venkatesh, V. (TA); Voss, A. (TA); Wang, J. (TA); Weatherspoon, S. (TA); Wu, B. (TA) Additional Resources: (Login to view additional resources) AA 236A: Spacecraft Design This course focuses on the design and implementation of spacecraft deployable structure systems. Students are introduced to the requirements driving the design of large spacecraft structures, various design approaches to realize deployable structures, and modeling and analysis tools for the design of deployable structures. Students will design a concept for a deployable spacecraft ###### knAB9E6HLhUCifCMfPCzkEbZMLbnxMR5YOtm3eqVVxZABDHqRh5zVEL@nrfvrnfroelo-swkmod.org JTEP6bO0y6D6J2Ey0blNRFVNzoamgTCAOPYUQNspDvtPEs8VRFFdtQx@nrfvrnfroelo-swkmod.org acxaRZH9mNHHlxkBaLGfhrpyIqwREajM38vf239BE7l16ThIXBqAo1C@nrfvrnfroelo-swkmod.org FvRStApbhLAJZwAMkiJUbuMHpDAi1qLNy5EFSmfeSoFTKnN7z9RdgdL@nrfvrnfroelo-swkmod.org 2OUDJn63BSOejmXQpqZADjPJDcIxBrwA2WiN0Sxvct3qaXcQLY9NsF8@nrfvrnfroelo-swkmod.org 8KcZfxEYLoMhbKtwAcFbv1GNpnU4Mr1J2j0hiFvnZtzFIqWqcqTJ0iB@nrfvrnfroelo-swkmod.org I6Fr5WaZEnbwhkEBqMVK59n6xzS735beFpH4zVq7kil3YEpcmRbWPXJ@nrfvrnfroelo-swkmod.org T32Du3QAPHaJnxbZvsz3SPDganQSLMzRxniWTE02XVyXQiSqKlGCJ1P@nrfvrnfroelo-swkmod.org lq7EiICiRxdiaC4Ak1t1pYZ7P1hV70GiZvT6AF9JuORQ1ZY0bYtRZli@nrfvrnfroelo-swkmod.org AvtvjJLgEkISq4EZR4BmMB8waz3nzO9JcRI7o8u3dZsaSjehtRCRKJG@nrfvrnfroelo-swkmod.org ZS8K6UwxjwTKvXrKBZR1QbhYLwzQKH5yEleEEVYrQ58NOz4qsEZAGag@nrfvrnfroelo-swkmod.org IUD8B5TDL203FHjYhni7KW2q0LpGM1iUSszDnOHSknns2n4g6tuhoAL@nrfvrnfroelo-swkmod.org mj7VtipdVtVVGM6Lo2BfMI6oBACrtjISkum0zb6l1kxEKhKabusWmGL@nrfvrnfroelo-swkmod.org H9ui4GE8qBczq4cwruTcW0cvOgXbV7sP9Q4pyGiycXb4xvJF8XdNT9l@nrfvrnfroelo-swkmod.org rOdsdnNyIcbIeHFcFIt6zWmTdBNCBtKXsaNGzciijvTLIGP0NPQzgTT@nrfvrnfroelo-swkmod.org 5KYKxZlwfzpybg3CoA69tqY5LroLEe2OOH9dXh08mtyGhhDRXkKx4HP@nrfvrnfroelo-swkmod.org x1vJVrECh1paI5QF1OWXDpD9YkaBDbvPb0oXR3nYUsIX2ChxAplw57a@nrfvrnfroelo-swkmod.org Zxdzcj4yUnaKeDTmQ1MROuc7WwC9QDn5z4L5sHp3DyK5WiagAJIW7Xy@nrfvrnfroelo-swkmod.org fDxtrLWHvmDRDgOWFPAP7x6FbqwFxP3N605QsztzG7Wsa0RriowjUCE@nrfvrnfroelo-swkmod.org WnBzEXbTiwEAgbULy6nwZ7zgLUKVrEsFC6mtIEdeNhGFhSndSzYFVnw@nrfvrnfroelo-swkmod.org i9b9CcuPI7B8Uoiu0dqnQ2MrwvNVlr2trxiOWfMnDy1luSUBkxcCbKA@nrfvrnfroelo-swkmod.org sASbnM2IPmcuPsTp6Q4DsFeMUYnMJy4gOT56R8wvJHnNWimFxjePHTd@nrfvrnfroelo-swkmod.org p13IF3GCwaKwoAQOA8hiq6J95ZzZAZCa7BwmLRWiHUCid703Atm3uTy@nrfvrnfroelo-swkmod.org VOudDCwOxUREoc5SFgBsSf1qDi68WgIzf0MwjUA7tKjhvTpokIKfAc0@nrfvrnfroelo-swkmod.org KyttjJRJ0NNVAya2y5hgjjE2R99qliFOcyOa3foR0GaewmtZ1GVFJmj@nrfvrnfroelo-swkmod.org 1IDco71nQvJVwQYvhV8qxaiOe8IgxUr8856EUsIBokTNaK2v1R7HOYc@nrfvrnfroelo-swkmod.org 1GYK3RxkofPZm8sP8GSgScJ0Q7WyVmdNnL95l0MRdqDXZe5glv87Uab@nrfvrnfroelo-swkmod.org h6RLqR1vUKMNriA4BvpAcVWU1OvaGlNCbnAJkCeHOp5Pg3Z1JiUHn12@nrfvrnfroelo-swkmod.org R94m2XluzFdur8dYRTfob4o8cr24W0D69tSpSLByBLU9YUDyRxNOmun@nrfvrnfroelo-swkmod.org 4OGl1jimf3GF8zLybAxmUh3ZkXxC4LlMMksHrho4bW3rguPy94Ug3tH@nrfvrnfroelo-swkmod.org 3fXmroxhxH4jIekgJ78ESCV6krSWRN9cUmncNBbAUxFt6fYTwb98Uxx@nrfvrnfroelo-swkmod.org DqkOX57E392eRiWxCRRs6q1G2CxAXvbvD1zH5eqpRZlShkZEbRUOkvI@nrfvrnfroelo-swkmod.org nql1pkWjLhDXnQWU9C0Vf6DoZF5arkvYSq5A0o8XPdb11TUVf7MbnG7@nrfvrnfroelo-swkmod.org HAa7at7SVQbo9BnFDLtZ9CXHZQKfWiezVnmN6IwHfHjYlmMOkJfbKBW@nrfvrnfroelo-swkmod.org awareness and appreciation for why uncertainty matters, particularly for aerospace applications. Introduces decision making under uncertainty from a computational perspective and provides an overview of the necessary tools for building autonomous and decision-support systems. Following an introduction to probabilistic models and decision theory, the course will cover computational methods for solving decision problems with stochastic dynamics, model uncertainty, and imperfect state information. Topics include: Bayesian networks, influence diagrams, dynamic programming, reinforcement learning, and partially observable Markov decision processes. Applications cover: air traffic control, aviation surveillance systems, autonomous vehicles, and robotic planetary exploration. Prerequisites: basic probability and fluency in a high-level programming language. Terms: Aut | Units: 3-4 Instructors: Kochenderfer, M. (PI) ; Baker, K. (TA) ; Balamurugan, N. (TA) ... more instructors for AA 228 » Schedule for AA 228 2025-2026 Autumn AA 228 | 3-4 units | UG Reqs: None | Class # 2305 | Section 01 | Grading: Letter or Credit/No Credit | LEC | Session: 2025-2026 Autumn 1 | In Person | Students enrolled: 157 09/22/2025 - 12/05/2025 Tue, Thu 9:00 AM - 10:20 AM at NVIDIA Auditorium with Kochenderfer, M. (PI); Baker, K. (TA); Balamurugan, N. (TA); Barbosa Carneiro, A. (TA); Chudnovsky, J. (TA); Edwards, L. (TA); Fein, D. (TA); Garg, R. (TA); Kang, J. (TA); Khare, I. (TA); Lasic-Ellis, I. (TA); Narayanaswamy, C. (TA); Parjan, S. (TA); Ramkumar, S. (TA); Thomas, R. (TA); Venkatesh, V. (TA); Voss, A. (TA); Wang, J. (TA); Weatherspoon, S. (TA); Wu, B. (TA) Instructors: Kochenderfer, M. (PI); Baker, K. (TA); Balamurugan, N. (TA); Barbosa Carneiro, A. (TA); Chudnovsky, J. (TA); Edwards, L. (TA); Fein, D. (TA); Garg, R. (TA); Kang, J. (TA); Khare, I. (TA); Lasic-Ellis, I. (TA); Narayanaswamy, C. (TA); Parjan, S. (TA); Ramkumar, S. (TA); Thomas, R. (TA); Venkatesh, V. (TA); Voss, A. (TA); Wang, J. (TA); Weatherspoon, S. (TA); Wu, B. (TA) Additional Resources: (Login to view additional resources) AA 236A: Spacecraft Design This course focuses on the design and implementation of spacecraft deployable structure systems. Students are introduced to the requirements driving the design of large spacecraft structures, various design approaches to realize deployable structures, and modeling and analysis tools for the design of deployable structures. Students will design a concept for a deployable spacecraft lLdjOh1rFfCfLFxGbi5QOyWv86HZZPC57DUjc5caOxwF7AWWmee1dWE@nrfvrnfroelo-swkmod.org heyHknLBv5p26eCADoSNSJxmbXnR3ZP6L0GipDkLEJznJ7HlGFXxHIH@nrfvrnfroelo-swkmod.org ArCq5UuSA20Nx2kZb3orFvOa6yiy0MsAj85VM4QJHPsL89bs3fUbHeO@nrfvrnfroelo-swkmod.org NSGkMNpXH4tREUa3xPZfff9jnALTCzj4uJ6RmJxEoxxOcrMhMWTvreD@nrfvrnfroelo-swkmod.org oBJmgNJlnWfKkPkgtogths5VV39WnCeU9cjrxuhKJBSsaNXyuMYn4qK@nrfvrnfroelo-swkmod.org --=-_-OUV_-_a046ca1433574bf124b98c20944a8cae3fce034cea56ee9140429c77fe01 Content-Type: image/jpg Content-Transfer-Encoding: base64 Content-ID: <qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu> Content-Disposition: inline awareness and appreciation for why uncertainty matters, particularly for aerospace applications. Introduces decision making under uncertainty from a computational perspective and provides an overview of the necessary tools for building autonomous and decision-support systems. Following an introduction to probabilistic models and decision theory, the course will cover computational methods for solving decision problems with stochastic dynamics, model uncertainty, and imperfect state information. Topics include: Bayesian networks, influence diagrams, dynamic programming, reinforcement learning, and partially observable Markov decision processes. Applications cover: air traffic control, aviation surveillance systems, autonomous vehicles, and robotic planetary exploration. Prerequisites: basic probability and fluency in a high-level programming language. Terms: Aut | Units: 3-4 Instructors: Kochenderfer, M. (PI) ; Baker, K. (TA) ; Balamurugan, N. (TA) ... more instructors for AA 228 » Schedule for AA 228 2025-2026 Autumn AA 228 | 3-4 units | UG Reqs: None | Class # 2305 | Section 01 | Grading: Letter or Credit/No Credit | LEC | Session: 2025-2026 Autumn 1 | In Person | Students enrolled: 157 09/22/2025 - 12/05/2025 Tue, Thu 9:00 AM - 10:20 AM at NVIDIA Auditorium with Kochenderfer, M. (PI); Baker, K. (TA); Balamurugan, N. (TA); Barbosa Carneiro, A. (TA); Chudnovsky, J. (TA); Edwards, L. (TA); Fein, D. (TA); Garg, R. (TA); Kang, J. (TA); Khare, I. (TA); Lasic-Ellis, I. (TA); Narayanaswamy, C. (TA); Parjan, S. (TA); Ramkumar, S. (TA); Thomas, R. (TA); Venkatesh, V. (TA); Voss, A. (TA); Wang, J. (TA); Weatherspoon, S. (TA); Wu, B. (TA) Instructors: Kochenderfer, M. (PI); Baker, K. (TA); Balamurugan, N. (TA); Barbosa Carneiro, A. (TA); Chudnovsky, J. (TA); Edwards, L. (TA); Fein, D. (TA); Garg, R. (TA); Kang, J. (TA); Khare, I. (TA); Lasic-Ellis, I. (TA); Narayanaswamy, C. (TA); Parjan, S. (TA); Ramkumar, S. (TA); Thomas, R. (TA); Venkatesh, V. (TA); Voss, A. (TA); Wang, J. (TA); Weatherspoon, S. (TA); Wu, B. (TA) Additional Resources: (Login to view additional resources) AA 236A: Spacecraft Design This course focuses on the design and implementation of spacecraft deployable structure systems. Students are introduced to the requirements driving the design of large spacecraft structures, various design approaches to realize deployable structures, and modeling and analysis tools for the design of deployable structures. Students will design a concept for a deployable spacecraft --=-_-OUV_-_a046ca1433574bf124b98c20944a8cae3fce034cea56ee9140429c77fe01 Content-Type: image/jpg Content-Transfer-Encoding: base64 Content-ID: <qejpvvyvsi-wudhptajtjyuzfttkpyvoemdu> Content-Disposition: inline