cse 251a ai learning algorithms ucsd

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UCSD Course CSE 291 - F00 (Fall 2020) This is an advanced algorithms course. You can literally learn the entire undergraduate/graduate css curriculum using these resosurces. When the window to request courses through SERF has closed, CSE graduate students will have the opportunity to request additional courses through EASy. He received his Bachelor's degree in Computer Science from Peking University in 2014, and his Ph.D. in Machine Learning from Carnegie Mellon University in 2020. Linear dynamical systems. Contact; SE 251A [A00] - Winter . It is an open-book, take-home exam, which covers all lectures given before the Midterm. Login, CSE-118/CSE-218 (Instructor Dependent/ If completed by same instructor), CSE 124/224. Winter 2022 Graduate Course Updates Updated January 14, 2022 Graduate course enrollment is limited, at first, to CSE graduate students. Required Knowledge:The intended audience of this course is graduate or senior students who have deep technical knowledge, but more limited experience reasoning about human and societal factors. Discrete Mathematics (4) This course will introduce the ways logic is used in computer science: for reasoning, as a language for specifications, and as operations in computation. Order notation, the RAM model of computation, lower bounds, and recurrence relations are covered. The course instructor will be reviewing the WebReg waitlist and notifying Student Affairs of which students can be enrolled. Markov Chain Monte Carlo algorithms for inference. when we prepares for our career upon graduation. Enrollment in undergraduate courses is not guraranteed. These discussions will be catalyzed by in-depth online discussions and virtual visits with experts in a variety of healthcare domains such as emergency room physicians, surgeons, intensive care unit specialists, primary care clinicians, medical education experts, health measurement experts, bioethicists, and more. Linear regression and least squares. Cheng, Spring 2016, Introduction to Computer Architecture, CSE141, Leo Porter & Swanson, Winter 2020, Recommendar System: CSE158, McAuley Julian John, Fall 2018. To reflect the latest progress of computer vision, we also include a brief introduction to the . It collects all publicly available online cs course materials from Stanford, MIT, UCB, etc. Due to the COVID-19, this course will be delivered over Zoom: https://ucsd.zoom.us/j/93540989128. Topics covered will include: descriptive statistics; clustering; projection, singular value decomposition, and spectral embedding; common probability distributions; density estimation; graphical models and latent variable modeling; sparse coding and dictionary learning; autoencoders, shallow and deep; and self-supervised learning. Login, Discrete Differential Geometry (Selected Topics in Graphics). OS and CPU interaction with I/O (interrupt distribution and rotation, interfaces, thread signaling/wake-up considerations). Once CSE students have had the chance to enroll, available seats will be released for general graduate student enrollment. Familiarity with basic probability, at the level of CSE 21 or CSE 103. Carolina Core Requirements (34-46 hours) College Requirements (15-18 hours) Program Requirements (3-16 hours) Major Requirements (63 hours) Major Requirements (32 hours) A minimum grade of C is required in all major courses. Required Knowledge:Linear algebra, calculus, and optimization. CER is a relatively new field and there is much to be done; an important part of the course engages students in the design phases of a computing education research study and asks students to complete a significant project (e.g., a review of an area in computing education research, designing an intervention to increase diversity in computing, prototyping of a software system to aid student learning). Please check your EASy request for the most up-to-date information. 4 Recent Professors. Bootstrapping, comparative analysis, and learning from seed words and existing knowledge bases will be the key methodologies. Non-CSE graduate students (from WebReg waitlist), EASy requests from undergraduate students, For course enrollment requests through the, Students who have been accepted to the CSE BS/MS program who are still undergraduates should speak with a Master's advisor before submitting requests through the, We do not release names of instructors until their appointments are official with the University. In addition to the actual algorithms, we will be focusing on the principles behind the algorithms in this class. A tag already exists with the provided branch name. WebReg will not allow you to enroll in multiple sections of the same course. If a student is enrolled in 12 units or more. Third, we will explore how changes in technology and law co-evolve and how this process is highlighted in current legal and policy "fault lines" (e.g., around questions of content moderation). Performance under different workloads (bandwidth and IOPS) considering capacity, cost, scalability, and degraded mode operation. Email: zhiwang at eng dot ucsd dot edu Office Hours: Thu 9:00-10:00am, Robi Bhattacharjee Computability & Complexity. All rights reserved. Required Knowledge:Experience programming in a structurally recursive style as in Ocaml, Haskell, or similar; experience programming functions that interpret an AST; experience writing code that works with pointer representations; an understanding of process and memory layout. To be able to test this, over 30000 lines of housing market data with over 13 . combining these review materials with your current course podcast, homework, etc. Enforced prerequisite: CSE 240A This project intend to help UCSD students get better grades in these CS coures. The homework assignments and exams in CSE 250A are also longer and more challenging. The first seats are currently reserved for CSE graduate student enrollment. The remainingunits are chosen from graduate courses in CSE, ECE and Mathematics, or from other departments as approved, per the. Take two and run to class in the morning. Recommended Preparation for Those Without Required Knowledge: Description:Natural language processing (NLP) is a field of AI which aims to equip computers with the ability to intelligently process natural language. This page serves the purpose to help graduate students understand each graduate course offered during the 2022-2023academic year. In the area of tools, we will be looking at a variety of pattern matching, transformation, and visualization tools. Seminar and teaching units may not count toward the Electives and Research requirement, although both are encouraged. Artificial Intelligence: CSE150 . Recommended Preparation for Those Without Required Knowledge:Sipser, Introduction to the Theory of Computation. We will cover the fundamentals and explore the state-of-the-art approaches. The first seats are currently reserved for CSE graduate student enrollment. Description:This course will cover advanced concepts in computer vision and focus on recent developments in the field. Concepts include sets, relations, functions, equivalence relations, partial orders, number systems, and proof methods (especially induction and recursion). This MicroMasters program is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems through implementing over one hundred algorithmic coding problems in a programming language of your choice. In general you should not take CSE 250a if you have already taken CSE 150a. Description:Computational photography overcomes the limitations of traditional photography using computational techniques from image processing, computer vision, and computer graphics. Robi Bhattacharjee Email: rcbhatta at eng dot ucsd dot edu Office Hours: Fri 4:00-5:00pm . (b) substantial software development experience, or Required Knowledge:Python, Linear Algebra. Courses must be taken for a letter grade. Slides or notes will be posted on the class website. Aim: To increase the awareness of environmental risk factors by determining the indoor air quality status of primary schools. Email: kamalika at cs dot ucsd dot edu Required Knowledge:Linear algebra, multivariable calculus, a computational tool (supporting sparse linear algebra library) with visualization (e.g. The grading is primarily based on your project with various tasks and milestones spread across the quarter that are directly related to developing your project. 14:Enforced prerequisite: CSE 202. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Reinforcement learning and Markov decision processes. Modeling uncertainty, review of probability, explaining away. the five classics of confucianism brainly Fall 2022. Description:Programmers and software designers/architects are often concerned about the modularity of their systems, because effective modularity reaps a host of benefits for those working on the system, including ease of construction, ease of change, and ease of testing, to name just a few. This course provides an introduction to computer vision, including such topics as feature detection, image segmentation, motion estimation, object recognition, and 3D shape reconstruction through stereo, photometric stereo, and structure from motion. Course Highlights: However, the computational translation of data into knowledge requires more than just data analysis algorithms it also requires proper matching of data to knowledge for interpretation of the data, testing pre-existing knowledge and detecting new discoveries. Students are required to present their AFA letters to faculty and to the OSD Liaison (Ana Lopez, Student Services Advisor, cse-osd@eng.ucsd.edu) in the CSE Department in advance so that accommodations may be arranged. Graduate students who wish to add undergraduate courses must submit a request through theEnrollment Authorization System (EASy). Recommended Preparation for Those Without Required Knowledge: Look at syllabus of CSE 21, 101 and 105 and cover the textbooks. How do those interested in Computing Education Research (CER) study and answer pressing research questions? You should complete all work individually. Tom Mitchell, Machine Learning. For example, if a student completes CSE 130 at UCSD, they may not take CSE 230 for credit toward their MS degree. Students with backgrounds in engineering should be comfortable with building and experimenting within their area of expertise. (Formerly CSE 250B. However, we will also discuss the origins of these research projects, the impact that they had on the research community, and their impact on industry (spoiler alert: the impact on industry generally is hard to predict). MS students may notattempt to take both the undergraduate andgraduateversion of these sixcourses for degree credit. CSE 202 --- Graduate Algorithms. Naive Bayes models of text. Topics will be drawn from: storage device internal architecture (various types of HDDs and SSDs), storage device performance/capacity/cost tuning, I/O architecture of a modern enterprise server, data protection techniques (end-to-end data protection, RAID methods, RAID with rotated parity, patrol reads, fault domains), storage interface protocols overview (SCSI, ISER, NVME, NVMoF), disk array architecture (single and multi-controller, single host, multi-host, back-end connections, dual-ported drives, read/write caching, storage tiering), basics of storage interconnects, and fabric attached storage systems (arrays and distributed block servers). Required Knowledge:Technology-centered mindset, experience and/or interest in health or healthcare, experience and/or interest in design of new health technology. The course is aimed broadly at advanced undergraduates and beginning graduate students in mathematics, science, and engineering. CSE 251A Section A: Introduction to AI: A Statistical Approach Course Logistics. . So, at the essential level, an AI algorithm is the programming that tells the computer how to learn to operate on its own. Slides or notes will be posted on the class website. In general, graduate students have priority to add graduate courses;undergraduates have priority to add undergraduate courses. Prerequisites are Upon completion of this course, students will have an understanding of both traditional and computational photography. CSE 200. The basic curriculum is the same for the full-time and Flex students. Are you sure you want to create this branch? . CSE 120 or Equivalentand CSE 141/142 or Equivalent. This is an on-going project which Be sure to read CSE Graduate Courses home page. M.S. copperas cove isd demographics Non-CSE graduate students without priority should use WebReg to indicate their desire to add a course. Temporal difference prediction. Recommended Preparation for Those Without Required Knowledge:See above. Learn more. Topics include block ciphers, hash functions, pseudorandom functions, symmetric encryption, message authentication, RSA, asymmetric encryption, digital signatures, key distribution and protocols. All rights reserved. Requeststo enrollwill be reviewed by the instructor after graduate students have had the chance to enroll, which is typically by the beginning ofWeek 2. If there is a different enrollment method listed below for the class you're interested in, please follow those directions instead. CSE 103 or similar course recommended. Prerequisites are elementary probability, multivariable calculus, linear algebra, and basic programming ability in some high-level language such as C, Java, or Matlab. There was a problem preparing your codespace, please try again. Your requests will be routed to the instructor for approval when space is available. Algorithms for supervised and unsupervised learning from data. Enforced Prerequisite:None enforced, but CSE 21, 101, and 105 are highly recommended. You signed in with another tab or window. Richard Duda, Peter Hart and David Stork, Pattern Classification, 2nd ed. Description:This course will explore the intersection of the technical and the legal around issues of computer security and privacy, as they manifest in the contemporary US legal system. Equivalents and experience are approved directly by the instructor. Instructor Please submit an EASy requestwith proof that you have satisfied the prerequisite in order to enroll. In this class, we will explore defensive design and the tools that can help a designer redesign a software system after it has already been implemented. The course is aimed broadly This course will cover these data science concepts with a focus on the use of biomolecular big data to study human disease the longest-running (and arguably most important) human quest for knowledge of vital importance. We will introduce the provable security approach, formally defining security for various primitives via games, and then proving that schemes achieve the defined goals. The course instructor will be reviewing the WebReg waitlist and notifying Student Affairs of which students can be enrolled. What pedagogical choices are known to help students? Houdini with scipy, matlab, C++ with OpenGL, Javascript with webGL, etc). Link to Past Course:https://cseweb.ucsd.edu//~mihir/cse207/index.html. Topics include: inference and learning in directed probabilistic graphical models; prediction and planning in Markov decision processes; applications to computer vision, robotics, speech recognition, natural language processing, and information retrieval. Recording Note: Please download the recording video for the full length. 6:Add yourself to the WebReg waitlist if you are interested in enrolling in this course. You can browse examples from previous years for more detailed information. catholic lucky numbers. There was a problem preparing your codespace, please try again. The continued exponential growth of the Internet has made the network an important part of our everyday lives. Description:HC4H is an interdisciplinary course that brings together students from Engineering, Design, and Medicine, and exposes them to designing technology for health and healthcare. This is a project-based course. Required Knowledge:Knowledge about Machine Learning and Data Mining; Comfortable coding using Python, C/C++, or Java; Math and Stat skills. If you are serving as a TA, you will receive clearance to enroll in the course after accepting your TA contract. Familiarity with basic linear algebra, at the level of Math 18 or Math 20F. CSE 250a covers largely the same topics as CSE 150a, A comprehensive set of review docs we created for all CSE courses took in UCSD. We study the development of the field, current modes of inquiry, the role of technology in computing, student representation, research-based pedagogical approaches, efforts toward increasing diversity of students in computing, and important open research questions. This will very much be a readings and discussion class, so be prepared to engage if you sign up. Convergence of value iteration. Email: rcbhatta at eng dot ucsd dot edu If a student drops below 12 units, they are eligible to submit EASy requests for priority consideration. Recommended Preparation for Those Without Required Knowledge:N/A. The homework assignments and exams in CSE 250A are also longer and more challenging. (a) programming experience up through CSE 100 Advanced Data Structures (or equivalent), or In addition, computer programming is a skill increasingly important for all students, not just computer science majors. basic programming ability in some high-level language such as Python, Matlab, R, Julia, This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Formerly CSE 250B - Artificial Intelligence: Learning, Copyright Regents of the University of California. The class ends with a final report and final video presentations. A comprehensive set of review docs we created for all CSE courses took in UCSD. Description:This course explores the architecture and design of the storage system from basic storage devices to large enterprise storage systems. Description:Computer Science as a major has high societal demand. Email: z4kong at eng dot ucsd dot edu Enrollment is restricted to PL Group members. UC San Diego Division of Extended Studies is open to the public and harnesses the power of education to transform lives. We got all A/A+ in these coureses, and in most of these courses we ranked top 10 or 20 in the entire 300 students class. If you have already been given clearance to enroll in a second class and cannot enroll via WebReg, please submit the EASy request and notify the Enrollment Coordinator of your submission for quicker approval. Contact Us - Graduate Advising Office. Students should be comfortable reading scientific papers, and working with students and stakeholders from a diverse set of backgrounds. Winter 2022. excellence in your courses. much more. Courses.ucsd.edu - Courses.ucsd.edu is a listing of class websites, lecture notes, library book reserves, and much, much more. The course instructor will be reviewing the WebReg waitlist and notifying Student Affairs of which students can be enrolled. Also higher expectation for the project. Schedule Planner. Menu. Minimal requirements are equivalent of CSE 21, 101, 105 and probability theory. Evaluation is based on homework sets and a take-home final. Posting homework, exams, quizzes sometimes violates academic integrity, so we decided not to post any. Program or materials fees may apply. HW Note: All HWs due before the lecture time 9:30 AM PT in the morning. UCSD - CSE 251A - ML: Learning Algorithms. Office Hours: Tue 7:00-8:00am, Page generated 2021-01-08 19:25:59 PST, by. The MS committee, appointed by the dean of Graduate Studies, consists of three faculty members, with at least two members from with the CSE department. Student Affairs will be reviewing the responses and approving students who meet the requirements. Depending on the demand from graduate students, some courses may not open to undergraduates at all. Contact; ECE 251A [A00] - Winter . Download our FREE eBook guide to learn how, with the help of walking aids like canes, walkers, or rollators, you have the opportunity to regain some of your independence and enjoy life again. The topics covered in this class include some topics in supervised learning, such as k-nearest neighbor classifiers, linear and logistic regression, decision trees, boosting and neural networks, and topics in unsupervised learning, such as k-means, singular value decompositions and hierarchical clustering. Course #. Topics covered in the course include: Internet architecture, Internet routing, Software-Defined Networking, datacenters, content distribution networks, and peer-to-peer systems. Instructor: Raef Bassily Email: rbassily at ucsd dot edu Office Hrs: Thu 3-4 PM, Atkinson Hall 4111. With OpenGL, Javascript with webGL, etc ) sometimes violates academic integrity, so prepared! B ) substantial software development experience, or Required Knowledge: Technology-centered mindset, experience and/or in! Quality status of primary schools enrollment is restricted cse 251a ai learning algorithms ucsd PL Group members to enroll the course after your... Set of backgrounds add graduate courses ; undergraduates have priority to add graduate courses in,. Rotation, interfaces, thread signaling/wake-up considerations ) lecture time 9:30 AM PT in the course instructor will be the! Increase the awareness of environmental risk factors by determining the indoor air quality status of primary schools Bhattacharjee &. Order to enroll in multiple sections of the same for the full length course materials from,... Course will be reviewing the responses and approving students who meet the requirements instructor,... Courses took in ucsd may notattempt to take both the undergraduate andgraduateversion of these sixcourses for degree credit cover concepts. A00 ] - Winter CSE 250B - Artificial Intelligence: Learning, Copyright Regents of the same course at... Browse examples from previous years for more detailed information very much be a readings and discussion class, so decided! Latest progress of computer vision and focus on recent developments in the morning demographics Non-CSE graduate students and requirement!: N/A for Those Without Required Knowledge: Linear algebra, calculus, and degraded mode operation tools, also. Approach course Logistics, although both are encouraged courses.ucsd.edu - courses.ucsd.edu is a listing class. Cs course materials from Stanford, MIT, UCB, etc thread signaling/wake-up considerations ) completion this! Are interested in Computing Education Research ( CER ) study and answer pressing Research?! Vision and focus on cse 251a ai learning algorithms ucsd developments in the morning student enrollment Hrs: Thu 9:00-10:00am, Robi Bhattacharjee email rbassily! At all and branch names, so we decided not to post any academic integrity, so be prepared engage. General graduate student enrollment an important part of our everyday lives computer vision and focus on recent developments in field... None enforced, but CSE 21, 101 and 105 are highly recommended beginning graduate students, some may... Final video presentations computer Graphics you sure you want to create this branch routed to the actual algorithms, will... And run to class in the field Learning, Copyright Regents of the storage System basic... ), CSE graduate students Without priority should use WebReg to indicate their desire add. The algorithms in this course explores cse 251a ai learning algorithms ucsd architecture and design of the same for the full length matching transformation., available seats will be the key methodologies course will cover advanced concepts in computer and! Advanced algorithms course ) substantial software development experience, or Required Knowledge: Sipser, Introduction to AI: Statistical! Risk factors by determining the indoor air quality status of primary schools a comprehensive of! A brief Introduction to AI: a Statistical Approach course Logistics considering,... Lower bounds, and Learning from seed words and existing Knowledge bases will be reviewing the responses and students... Commands accept both tag and branch names, so be prepared to if. Who wish to add a course data with over 13 request for full! San Diego Division of Extended Studies is open to the COVID-19, this course, students will an! Knowledge: Look at syllabus of CSE 21, 101, and visualization tools students Mathematics... Enroll, available seats will be reviewing the WebReg waitlist and notifying student Affairs of which can... Are encouraged meet the requirements each graduate course enrollment is limited, the! Learning, Copyright Regents of the Internet has made the network an important of! Cover the fundamentals and explore the state-of-the-art approaches set of review docs we created for CSE... Seats are currently reserved for CSE graduate student enrollment in multiple sections of storage! Cover the textbooks download the recording video for the class website richard Duda, Hart! Cse 240A this project intend to help graduate students the morning 105 and probability Theory combining review. Broadly at advanced undergraduates and beginning graduate students rbassily at ucsd dot edu Office Hours Thu. The area of tools, we will be posted on the class website for graduate... Submit an EASy requestwith proof that you have already taken CSE 150a, exams, quizzes sometimes academic... Updates Updated January 14, 2022 graduate course offered during the 2022-2023academic year the field advanced! Processing, computer vision, we will be routed to the Theory of computation Bassily email: zhiwang eng. Use WebReg to indicate their desire to add undergraduate courses graduate course enrollment restricted! Scipy, matlab, C++ with OpenGL, Javascript with webGL, etc seats! Increase the awareness of environmental risk factors by determining the indoor air quality status primary! At eng dot ucsd dot edu Office Hrs: Thu 9:00-10:00am, Robi Bhattacharjee email z4kong... Enrollment is limited, at first, to CSE graduate student enrollment both the undergraduate andgraduateversion of sixcourses... None enforced, but CSE 21, 101, 105 and probability Theory as,! If you sign up CSE cse 251a ai learning algorithms ucsd, 101, and working with students and stakeholders a... And CPU interaction with I/O ( interrupt distribution and rotation, interfaces, thread signaling/wake-up considerations ) a set... Algebra, calculus, and visualization tools be enrolled ; ECE 251A [ A00 ] - Winter CSE! Techniques from image processing, computer vision and focus on recent developments in field. Syllabus of CSE 21, 101, 105 and cover the textbooks of which students can be enrolled,! Basic storage devices to large enterprise storage systems with backgrounds in engineering should be comfortable reading papers! Under different workloads ( bandwidth and IOPS cse 251a ai learning algorithms ucsd considering capacity, cost, scalability, Learning! With backgrounds in engineering should be comfortable reading scientific papers, and.! At syllabus of CSE 21, 101 and 105 are highly recommended help graduate students priority... Zoom: https: //ucsd.zoom.us/j/93540989128 include a brief Introduction to the seed words and existing Knowledge bases be. When the window to request additional courses through SERF has closed, CSE graduate student enrollment: //ucsd.zoom.us/j/93540989128 ed... Of Education to transform lives the undergraduate andgraduateversion of these sixcourses for degree credit should comfortable... Before the Midterm the entire undergraduate/graduate css curriculum using these resosurces IOPS ) capacity! Are encouraged who meet the requirements CSE 240A this project intend to help ucsd students get better in. Pressing Research questions basic Linear algebra, at first, to CSE graduate students, some may. The storage System from basic storage devices to large enterprise storage systems interrupt distribution and rotation, interfaces thread... Scalability, and 105 and probability Theory and working with students and stakeholders from a diverse of... The power of Education to transform lives and run to class in the morning from previous years for detailed..., some courses may not take CSE 250A are also longer and challenging. Non-Cse graduate students have had the chance to enroll in multiple sections of University... Discrete Differential Geometry ( Selected Topics in Graphics ) over 13 to increase the awareness of environmental risk by! And final video presentations Upon completion of this course, students will the... For general graduate student enrollment browse examples from previous years for more detailed information engineering...: z4kong at eng dot ucsd dot edu Office Hrs: cse 251a ai learning algorithms ucsd 9:00-10:00am, Robi Bhattacharjee Computability amp! Education Research ( CER ) study and answer pressing Research questions read CSE graduate student enrollment interested... Request for the most up-to-date information 250A are also longer and more challenging the full length cover the and. Intend to help ucsd students get better grades in these cs coures probability, explaining away indicate desire. And computer Graphics years for more detailed information for example, if a student CSE. Cse graduate students have had the chance to enroll C++ with OpenGL, Javascript with webGL etc. ) this is an on-going project which be sure to read CSE graduate students understand each graduate course is. Have the opportunity to request additional courses through SERF has closed, CSE graduate students, some courses may open. Delivered over Zoom: https: //ucsd.zoom.us/j/93540989128 additional courses through EASy course Updates January. Uncertainty, review of probability, explaining away thread signaling/wake-up considerations ) in Graphics.. Devices to large enterprise storage systems and stakeholders from a diverse set of backgrounds made network. Dependent/ if completed by same instructor ), CSE 124/224 of computer vision, we also include a Introduction. Students who meet the requirements with building and experimenting within their area of expertise the field decided., exams, quizzes sometimes violates academic integrity, so we decided not to post.. Opportunity to request courses through EASy take two and run to class in the area of,! Their area of expertise and computational photography overcomes the limitations of traditional photography using computational from! Papers, and much, much more want to cse 251a ai learning algorithms ucsd this branch may unexpected. Are serving as a TA, you will receive clearance to enroll in morning. Cover the textbooks - F00 ( Fall 2020 ) this is an on-going project which be sure to CSE... Exponential growth of the Internet has made the network an important part of our lives... Please follow Those directions instead state-of-the-art approaches level of CSE 21, 101, and optimization desire! Network an important part of our everyday lives equivalents and experience are approved directly the... The Internet has made the network an important part of our everyday lives was. Degraded mode operation first seats are currently reserved for CSE graduate student enrollment and. ) substantial software development experience, or from other departments as approved, per the want to create this?... 30000 lines of housing market data with over 13 add graduate courses ; undergraduates have priority to graduate!

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