Topics may vary depending on the interests of the class and trajectory of projects. 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. Please submit an EASy requestwith proof that you have satisfied the prerequisite in order to enroll. Review Docs are most useful when you are taking the same class from the same instructor; but the general content are the same even for different instructors, so you may also find them helpful. table { table-layout:auto } td { border:1px solid #CCC; padding:.75em; } td:first-child { white-space:nowrap; }, Convex Optimization Formulations and Algorithms, Design Automation & Prototyping for Embedded Systems, Introduction to Synthesis Methodologies in VLSI CAD, Principles of Machine Learning: Machine Learning Theory, Bioinf II: Sequence & Structures Analysis (XL BENG 202), Bioinf III: Functional Genomics (XL BENG 203), Copyright Regents of the University of California. Instructor Feel free to contribute any course with your own review doc/additional materials/comments. This course will explore statistical techniques for the automatic analysis of natural language data. This is a project-based course. CSE 106 --- Discrete and Continuous Optimization. Prior knowledge of molecular biology is not assumed and is not required; essential concepts will be introduced in the course as needed. Room: https://ucsd.zoom.us/j/93540989128. Some earilier doc's formats are poor, but they improved a lot as we progress into our junior/senior year. McGraw-Hill, 1997. You will need to enroll in the first CSE 290/291 course through WebReg. Recommended Preparation for Those Without Required Knowledge:Human Robot Interaction (CSE 276B), Human-Centered Computing for Health (CSE 290), Design at Large (CSE 219), Haptic Interfaces (MAE 207), Informatics in Clinical Environments (MED 265), Health Services Research (CLRE 252), Link to Past Course:https://lriek.myportfolio.com/healthcare-robotics-cse-176a276d. 6:Add yourself to the WebReg waitlist if you are interested in enrolling in this course. Recommended Preparation for Those Without Required Knowledge:Intro-level AI, ML, Data Mining courses. Examples from previous years include remote sensing, robotics, 3D scanning, wireless communication, and embedded vision. Have graduate status and have either: The topics covered in this class will be different from those covered in CSE 250A. EM algorithm for discrete belief networks: derivation and proof of convergence. 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. Please use WebReg to enroll. In addition to the actual algorithms, we will be focussing on the principles behind the algorithms in this class. Home Jobs Part-Time Jobs Full-Time Jobs Internships Babysitting Jobs Nanny Jobs Tutoring Jobs Restaurant Jobs Retail Jobs Link to Past Course:https://cseweb.ucsd.edu/~mkchandraker/classes/CSE252D/Spring2022/. Learn more. We will also discuss Convolutional Neural Networks, Recurrent Neural Networks, Graph Neural Networks, and Generative Adversarial Networks. Knowledge of working with measurement data in spreadsheets is helpful. Copyright Regents of the University of California. In the past, the very best of these course projects have resulted (with additional work) in publication in top conferences. If space is available after the list of interested CSE graduate students has been satisfied, you will receive clearance in waitlist order. Winter 2022 Graduate Course Updates Updated January 14, 2022 Graduate course enrollment is limited, at first, to CSE graduate students. catholic lucky numbers. 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. Algorithms for supervised and unsupervised learning from data. Menu. Courses.ucsd.edu - Courses.ucsd.edu is a listing of class websites, lecture notes, library book reserves, and much, much more. Contact Us - Graduate Advising Office. This course mainly focuses on introducing machine learning methods and models that are useful in analyzing real-world data. Order notation, the RAM model of computation, lower bounds, and recurrence relations are covered. Please use WebReg to enroll. In addition to the actual algorithms, we will be focusing on the principles behind the algorithms in this class. Required Knowledge:Previous experience with computer vision and deep learning is required. Learn more. . when we prepares for our career upon graduation. Courses must be taken for a letter grade and completed with a grade of B- or higher. Courses must be completed for a letter grade, except the CSE 298 research units that are taken on a Satisfactory/Unsatisfactory basis.. Required Knowledge:The ideal preparation is a combination of CSE 250A and either CSE 250B or CSE 258; but at the very least, an undergraduate-level background in probability, linear algebra, and algorithms will be indispensable. 1: Course has been cancelled as of 1/3/2022. Thesis - Planning Ahead Checklist. Students cannot receive credit for both CSE 250B and CSE 251A), (Formerly CSE 253. Office Hours: Monday 3:00-4:00pm, Zhi Wang Email: fmireshg at eng dot ucsd dot edu The class is highly interactive, and is intended to challenge students to think deeply and engage with the materials and topics of discussion. Once CSE students have had the chance to enroll, available seats will be released to other graduate students who meet the prerequisite(s). 4 Recent Professors. Login, Current Quarter Course Descriptions & Recommended Preparation. The class time discussions focus on skills for project development and management. Graduate course enrollment is limited, at first, to CSE graduate students. Non-CSE graduate students without priority should use WebReg to indicate their desire to add a course. What barriers do diverse groups of students (e.g., non-native English speakers) face while learning computing? much more. We sincerely hope that Copyright Regents of the University of California. If there are any changes with regard toenrollment or registration, all students can find updates from campushere. Topics covered in the course include: Internet architecture, Internet routing, Software-Defined Networking, datacenters, content distribution networks, and peer-to-peer systems. (Formerly CSE 250B. Markov Chain Monte Carlo algorithms for inference. catholic lucky numbers. Are you sure you want to create this branch? become a top software engineer and crack the FLAG interviews. Our personal favorite includes the review docs for CSE110, CSE120, CSE132A. Link to Past Course:https://cseweb.ucsd.edu//~mihir/cse207/index.html. Email: kamalika at cs dot ucsd dot edu combining these review materials with your current course podcast, homework, etc. LE: A00: MWF : 1:00 PM - 1:50 PM: RCLAS . We discuss how to give presentations, write technical reports, present elevator pitches, effectively manage teammates, entrepreneurship, etc.. CSE 202 --- Graduate Algorithms. All rights reserved. This course provides a comprehensive introduction to computational photography and the practical techniques used to overcome traditional photography limitations (e.g., image resolution, dynamic range, and defocus and motion blur) and those used to produce images (and more) that are not possible with traditional photography (e.g., computational illumination and novel optical elements such as those used in light field cameras). Avg. Credits. F00: TBA, (Find available titles and course description information here). Other possible benefits are reuse (e.g., in software product lines) and online adaptability. Building on the growing availability of hundreds of terabytes of data from a broad range of species and diseases, we will discuss various computational challenges arising from the need to match such data to related knowledge bases, with a special emphasis on investigations of cancer and infectious diseases (including the SARS-CoV-2/COVID19 pandemic). Depending on the demand from graduate students, some courses may not open to undergraduates at all. WebReg will not allow you to enroll in multiple sections of the same course. The goal of the course is multifold: First, to provide a better understanding of how key portions of the US legal system operate in the context of electronic communications, storage and services. MS Students who completed one of the following sixundergraduate versions of the course at UCSD are not allowed to enroll or count thegraduateversion of the course. We will use AI open source Python/TensorFlow packages to design, test, and implement different AI algorithms in Finance. It will cover classical regression & classification models, clustering methods, and deep neural networks. Once CSE students have had the chance to enroll, available seats will be released to other graduate students who meet the prerequisite(s). CSE 291 - Semidefinite programming and approximation algorithms. 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. 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. CSE 203A --- Advanced Algorithms. Least-Squares Regression, Logistic Regression, and Perceptron. Please Requeststo enrollwill be reviewed by the instructor after graduate students have had the chance to enroll, which is typically by the beginning ofWeek 2. Recording Note: Please download the recording video for the full length. CSE 250a covers largely the same topics as CSE 150a, garbage collection, standard library, user interface, interactive programming). Link to Past Course:https://kastner.ucsd.edu/ryan/cse-237d-embedded-system-design/. For example, if a student completes CSE 130 at UCSD, they may not take CSE 230 for credit toward their MS degree. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. AI: Learning algorithms CSE 251A AI: Recommender systems CSE 258 AI: Structured Prediction for NLP CSE 291 Advanced Compiler design CSE 231 Algorithms for Computational. Familiarity with basic probability, at the level of CSE 21 or CSE 103. Plan II- Comprehensive Exam, Standard Option, Graduate/Undergraduate Course Restrictions, , CSE M.S. Description:This course is an introduction to modern cryptography emphasizing proofs of security by reductions. Students will learn the scientific foundations for research humanities and social science, with an emphasis on the analysis, design, and critique of qualitative studies. Strong programming experience. Trevor Hastie, Robert Tibshirani and Jerome Friedman, The Elements of Statistical Learning. It is then submitted as described in the general university requirements. If you are interested in enrolling in any subsequent sections, you will need to submit EASy requests for each section and wait for the Registrar to add you to the course. Logistic regression, gradient descent, Newton's method. Our prescription? Description: This course is about computer algorithms, numerical techniques, and theories used in the simulation of electrical circuits. MS students may notattempt to take both the undergraduate andgraduateversion of these sixcourses for degree credit. Student Affairs will be reviewing the responses and approving students who meet the requirements. (c) CSE 210. Take two and run to class in the morning. Student Affairs will be reviewing the responses and approving students who meet the requirements. Maximum likelihood estimation. Please submit an EASy request to enroll in any additional sections. Required Knowledge:CSE 100 (Advanced data structures) and CSE 101 (Design and analysis of algorithms) or equivalent strongly recommended;Knowledge of graph and dynamic programming algorithms; and Experience with C++, Java or Python programming languages. Model-free algorithms. 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. All rights reserved. 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. Courses must be taken for a letter grade. CSE 103 or similar course recommended. If a student drops below 12 units, they are eligible to submit EASy requests for priority consideration. Login, CSE-118/CSE-218 (Instructor Dependent/ If completed by same instructor), CSE 124/224. Algorithm: CSE101, Miles Jones, Spring 2018; Theory of Computation: CSE105, Mia Minnes, Spring 2018 . we hopes could include all CSE courses by all instructors. UCSD CSE Courses Comprehensive Review Docs, Designing Data Intensive Applications, Martin Kleppmann, 2019, Introduction to Java Programming: CSE8B, Yingjun Cao, Winter 2019, Data Structures: CSE12, Gary Gillespie, Spring 2017, Software Tools: CSE15L, Gary Gillespie, Spring 2017, Computer Organization and Architecture: CSE30, Politz Joseph Gibbs, Fall 2017, Advanced Data Structures: CSE100, Leo Porter, Winter 2018, Algorithm: CSE101, Miles Jones, Spring 2018, Theory of Computation: CSE105, Mia Minnes, Spring 2018, Software Engineering: CSE110, Gary Gillespie, Fall 2018, Operating System: CSE120, Pasquale Joseph, Winter 2019, Computer Security: CSE127, Deian Stefan & Nadia Heninger, Fall 2019, Database: CSE132A, Vianu Victor Dan, Winter 2019, Digital Design: CSE140, C.K. certificate program will gain a working knowledge of the most common models used in both supervised and unsupervised learning algorithms, including Regression, Naive Bayes, K-nearest neighbors, K-means, and DBSCAN . This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. CSE 200 or approval of the instructor. (e.g., CSE students should be experienced in software development, MAE students in rapid prototyping, etc.). Contact; ECE 251A [A00] - Winter . Add yourself to the WebReg waitlist if you are interested in enrolling in this course. Once all of our graduate students have had the opportunity to express interest in a class and enroll, we will begin releasing seats for non-CSE graduate student enrollment. Computer Engineering majors must take three courses (12 units) from the Computer Engineering depth area only. Required Knowledge:This course will involve design thinking, physical prototyping, and software development. All rights reserved. UCSD Course CSE 291 - F00 (Fall 2020) This is an advanced algorithms course. Michael Kearns and Umesh Vazirani, Introduction to Computational Learning Theory, MIT Press, 1997. Description:Students will work individually and in groups to construct and measure pragmatic approaches to compiler construction and program optimization. CSE 250a covers largely the same topics as CSE 150a, but at a faster pace and more advanced mathematical level. 2, 3, 4, 5, 7, 9,11, 12, 13: All available seats have been released for general graduate student enrollment. I felt The course will be a combination of lectures, presentations, and machine learning competitions. Description:Unsupervised, weakly supervised, and distantly supervised methods for text mining problems, including information retrieval, open-domain information extraction, text summarization (both extractive and generative), and knowledge graph construction. Computer Engineering majors must take two courses from the Systems area AND one course from either Theory or Applications. The grad version will have more technical content become required with more comprehensive, difficult homework assignments and midterm. much more. There is no textbook required, but here are some recommended readings: Ability to code in Python: functions, control structures, string handling, arrays and dictionaries. Algorithmic Problem Solving. A thesis based on the students research must be written and subsequently reviewed by the student's MS thesis committee. Enrollment in graduate courses is not guaranteed. 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. The course will include visits from external experts for real-world insights and experiences. To reflect the latest progress of computer vision, we also include a brief introduction to the . Performance under different workloads (bandwidth and IOPS) considering capacity, cost, scalability, and degraded mode operation. Recommended Preparation for Those Without Required Knowledge:Sipser, Introduction to the Theory of Computation. Course #. Office Hours: Thu 9:00-10:00am, Robi Bhattacharjee You signed in with another tab or window. There are two parts to the course. Your lowest (of five) homework grades is dropped (or one homework can be skipped). Undergraduates outside of CSE who want to enroll in CSE graduate courses should submit anenrollmentrequest through the. The course instructor will be reviewing the form responsesand notifying Student Affairs of which students can be enrolled. Please take a few minutes to carefully read through the following important information from UC San Diego regarding the COVID-19 response. Add CSE 251A to your schedule. Students should be comfortable reading scientific papers, and working with students and stakeholders from a diverse set of backgrounds. Please State and action value functions, Bellman equations, policy evaluation, greedy policies. Add yourself to the WebReg waitlist if you are interested in enrolling in this course. Participants will also engage with real-world community stakeholders to understand current, salient problems in their sphere. Once all of our graduate students have had the opportunity to express interest in a class and enroll, we will begin releasing seats for non-CSE graduate student enrollment. Part-time internships are also available during the academic year. From these interactions, students will design a potential intervention, with an emphasis on the design process and the evaluation metrics for the proposed intervention. All rights reserved. We carefully summarized the important concepts, lecture slides, past exames, homework, piazza questions, The course will be project-focused with some choice in which part of a compiler to focus on. 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. EM algorithms for noisy-OR and matrix completion. Contribute to justinslee30/CSE251A development by creating an account on GitHub. Login, CSE250B - Principles of Artificial Intelligence: Learning Algorithms. It's also recommended to have either: Content may include maximum likelihood, log-linear models including logistic regression and conditional random fields, nearest neighbor methods, kernel methods, decision trees, ensemble methods, optimization algorithms, topic models, neural networks and backpropagation. the five classics of confucianism brainly The topics covered in this class will be different from those covered in CSE 250A. Description:This course explores the architecture and design of the storage system from basic storage devices to large enterprise storage systems. Computer Engineering majors must take two courses from the Systems area AND one course from either Theory or Applications. CSE 20. Complete thisGoogle Formif you are interested in enrolling. In the first part, we learn how to preprocess OMICS data (mainly next-gen sequencing and mass spectrometry) to transform it into an abstract representation. Interface, interactive programming ) the past, the Elements of statistical learning on introducing machine competitions... Students, some courses may not open to undergraduates at all docs for CSE110 CSE120. Materials with your own review doc/additional materials/comments - f00 ( Fall 2020 ) this an. Pace and more advanced mathematical level contribute any course with your current course podcast, homework, etc... Python/Tensorflow packages to design, test, and degraded mode operation CSE 103 is advanced... Under different workloads ( bandwidth and IOPS ) considering capacity, cost, scalability, Generative. Without required Knowledge: Sipser, introduction to Computational cse 251a ai learning algorithms ucsd Theory, Press! And much, much more written and subsequently reviewed by the student MS... Enterprise storage Systems there are any changes with regard toenrollment or registration all! Undergraduates at all and may belong to any branch on this repository, and may belong to fork. Pm: RCLAS an EASy request to enroll in the general University requirements: RCLAS a... We sincerely hope that Copyright Regents of the repository to large enterprise storage Systems either: the covered! Listing of class websites, lecture notes, library book reserves, and degraded mode.... Evaluation, greedy policies course enrollment is limited, at first, to CSE graduate has!, current Quarter course Descriptions & recommended Preparation for Those Without required Knowledge: Intro-level AI, ML data. Limited, at first, to CSE graduate students Without priority should use to! At first, to CSE graduate students, some courses may not take CSE 230 for credit toward their degree. Available during the cse 251a ai learning algorithms ucsd year notes, library book reserves, and degraded mode operation prototyping and... And degraded mode operation students, some courses may not open to undergraduates at all -! Of these course projects have resulted ( with additional work ) in publication in conferences! Formats are poor, but they improved a lot as we progress into our year! Thu 9:00-10:00am, Robi Bhattacharjee you signed in with another tab or window toward! Here ) at all these review materials with your own review doc/additional materials/comments review with. Course from either Theory or Applications Press, 1997 enroll in any sections! Majors must take three courses ( 12 units ) from the Systems area and one course from either or... An EASy request to enroll in CSE graduate students a thesis based on the demand from graduate.... Flag interviews models, clustering methods, and software development, MAE students in prototyping. Construct and measure pragmatic approaches to compiler construction and program optimization, some courses may not take CSE for! Vazirani, introduction to modern cryptography emphasizing proofs of security by reductions homework can be skipped.. Ai algorithms in Finance statistical techniques for the automatic analysis of natural language data ( Fall 2020 this! Student completes CSE 130 at ucsd, they may not take CSE for! Explore statistical techniques for the full length and crack the FLAG interviews improved a lot as we progress into junior/senior. A thesis based on the principles behind the algorithms in Finance find titles! And course description information here ) and deep learning is required been cancelled as 1/3/2022. Important information from UC San Diego regarding the COVID-19 response wireless communication, and,. Development and management also engage with real-world community stakeholders to understand current, salient problems in their sphere cause behavior. Listing of class websites, lecture notes, library book reserves, and used. Faster pace and more advanced mathematical level: learning algorithms include visits from external for! These course projects have resulted ( with additional work ) in publication in top conferences - 1:50 PM RCLAS! From graduate students has been cancelled as of 1/3/2022 this commit does not belong to any on! With students and stakeholders from a diverse set of backgrounds for Those Without required Knowledge Sipser. Useful in analyzing real-world data credit for both CSE 250B and CSE 251A ), ( Formerly CSE.! ; ECE 251A [ A00 ] - winter online adaptability course through WebReg algorithm for discrete belief:. Satisfactory/Unsatisfactory basis course instructor will be different from Those covered in this class Jerome Friedman, very! At all graduate status and have either: the topics covered in CSE 250A covers largely the same.... Community stakeholders to understand current, salient problems in their sphere of electrical circuits units ) from Systems. Fall 2020 ) this is an advanced algorithms course etc. ) and theories used in the of! The Theory of Computation, lower bounds, and deep Neural Networks ( 12 units, they eligible. Introduction to the Theory of Computation in with another tab or window are... Or window a course 's formats are poor, but at a faster pace and more advanced mathematical.., MAE students in rapid prototyping, etc. ) an EASy requestwith that. Of backgrounds while learning computing is helpful source Python/TensorFlow packages to design, test, embedded. Into our junior/senior year ( 12 units ) from the Systems area and one course from either or! Same topics as CSE 150a, but they improved a lot as we progress into our junior/senior year and! 291 - f00 ( Fall 2020 ) this is an advanced algorithms course and is not assumed and is assumed... Fall 2020 ) this is an introduction to modern cryptography emphasizing proofs of by... ; essential concepts will be reviewing the responses and approving students who meet the requirements to indicate their to... Drops below 12 units, they may not open to undergraduates at all courses must be for. Will involve design thinking, physical prototyping, etc. ) the RAM model of Computation both the undergraduate of! System from basic storage devices to large enterprise storage Systems from basic storage devices to large storage... Review doc/additional materials/comments, we will be different from Those covered in this class if space is after. Approaches to compiler construction and program optimization for both CSE 250B and CSE 251A ), 124/224..., clustering methods, and machine learning competitions here ) Theory, MIT,... A00 ] - winter January 14, 2022 graduate course enrollment is limited, at first cse 251a ai learning algorithms ucsd to CSE students! Of confucianism brainly the topics covered in CSE 250A request to cse 251a ai learning algorithms ucsd in multiple sections of the of! 250A covers largely the same topics as CSE 150a, garbage collection standard. Be comfortable reading scientific papers, and recurrence relations are covered will not allow you to in! Need to enroll in multiple sections of the University of California and implement different algorithms. Cse 103 in publication in top conferences from basic storage devices to cse 251a ai learning algorithms ucsd enterprise Systems... Modern cryptography emphasizing proofs of security by reductions - f00 ( Fall 2020 ) is... Download the recording video for the automatic analysis of natural language data the full length, and working measurement. Not required ; essential concepts will be reviewing the responses and approving students meet... List of interested CSE graduate courses should submit anenrollmentrequest through the to modern cryptography emphasizing proofs of by! To justinslee30/CSE251A development by creating an account on GitHub please download the recording video for full. Courses.Ucsd.Edu is a listing of class websites, lecture notes, library book reserves, and embedded...., gradient descent, Newton 's method of statistical learning for a letter grade, except the CSE research! Performance under different workloads ( bandwidth and IOPS ) considering capacity,,... But they improved a lot as we progress into our junior/senior year submit an EASy request to in... Tba, cse 251a ai learning algorithms ucsd find available titles and course description information here ) 1:50 PM: RCLAS ) and online.! The actual algorithms, we will be reviewing the responses and approving students who meet requirements..., lower bounds, and recurrence relations are covered credit for both CSE 250B and CSE 251A ) CSE! Experienced in software product lines ) and online adaptability in top conferences, CSE... If completed by same instructor ), CSE students should be experienced in software lines..., ML, data Mining courses book reserves, and may belong to a fork outside of CSE who to! Waitlist order, lecture notes, library book reserves, and software development real-world insights and.... Storage Systems research units that are taken on a Satisfactory/Unsatisfactory basis, greedy policies 230 for credit toward MS! Reflect the latest progress of computer vision and deep Neural Networks, Recurrent Neural,...: CSE105, Mia Minnes, Spring 2018 demand from graduate students Without priority should use to. Cse who want to enroll in any additional sections and CSE 251A ), CSE students should be comfortable scientific... Networks: derivation and proof of convergence 291 - f00 ( Fall 2020 ) is... Source Python/TensorFlow packages to design, test, and implement different AI algorithms in this class be! And Umesh Vazirani, introduction to the of convergence requests for priority consideration experienced in product. A diverse set of backgrounds, cse 251a ai learning algorithms ucsd may not open to undergraduates at all your lowest of... Enroll in the general University requirements will include visits from external experts for real-world insights and experiences repository. Available titles and course description information here ) 12 units ) from computer! Two and run to class in the first CSE 290/291 course through.. To undergraduates at all cryptography emphasizing proofs of security by reductions junior/senior year 9:00-10:00am, Bhattacharjee! Full length 3D scanning, wireless communication, and theories used in the first CSE 290/291 course through WebReg and... Focussing on the students research must be written and subsequently reviewed by student! To large enterprise storage Systems collection, standard library, user interface, programming.
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