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Last modified
8/19/2024 3:51:15 PM
Creation date
9/6/2023 3:42:25 PM
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Contracts
Company Name
CALIFORNIA SCIENCE AND TECHNOLOGY UNIVERSITY
Contract #
A-2023-069-26
Agency
Community Development
Council Approval Date
5/2/2023
Expiration Date
6/30/2027
Insurance Exp Date
4/4/2025
Destruction Year
2032
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and their common use cases, security and compliance model, pricing and account management. <br />Students will do hands-on projects on setting up the AWS account and select needed resources. <br />CS13612 AI Application, m Co`ttputerVision (li5'gn ls} <br />The course covers the fundamental concepts in Computer Vision, including probability and <br />mathematical theories, image processing, feature detection, structure from motion, face detection <br />and recognition, etc. The course also introduces the deep learning tools such as PyTorch and <br />TensorFlow with computer vision applications such as human pose estimation. Students will <br />learn the fundamental concepts of computer vision theories and practical solutions. Students will <br />also learn to use the OpenCV software for solving image processing and computer vision <br />problems, and the PyTorch and TensorFlow tools for training deep learning neural network <br />models to solve computer vision problems. <br />CSX,618 AlWM"mJJ&f yth1 :14" s <br />This course is designed to teach efficient use of data structures and how to design an algorithm to <br />solve a practical problem. Students will learn the logical relationships between the data structures <br />associated with the real problems and their physical representations. Topics include algorithms <br />and algorithm analysis, data organization and the applications. Practical use of the arrays, stacks, <br />queues, single and double linked lists, trees, graphs, and heaps will be covered in depth. The <br />class -based data models with object -oriented design patterns will also be introduced. <br />SE620,„Dee Le' " in wOth P TO*li 1 5 tiiii <br />p g Y ( �... . <br />This course will teach deep learning with a focus on its application in computer vision. Deep <br />learning is a branch of machine learning which mainly uses the technology of neural networks. <br />We will discuss the basics of computer vision, machine learning and venture into deep learning <br />theories and applications. We will also learn a variety of machine learning and deep learning <br />frameworks with PyTorch. The introduction to basic neural networks, convolutional neural <br />networks and recurrent neural networks is combined with the development of real applications in <br />the computer vision field. <br />C E60 Of Aata A'nalytics" ith Ap0'fi Sparlt?"fl( 5 ud t as <br />Spark has increased the speed of analyzing applications significantly, Because of being versatile <br />and easy to use, Spark is rapidly gaining market share. Spark makes it easier to solve complex <br />data problems on a large scale. It is now the most active open source project in the big data <br />community. This course introduces the use of Spark Core, SQL, Hadoop / HDFS / Hive (Needed <br />for Spark) for practical applications, online demonstration, and enterprise application cases (such <br />as housing price database). In this course, students will learn the command line syntax and <br />examples of using commands through Spark, and Spark program tuning tips and writing <br />application code in Python and Scala with Spark in the areas of SQL, streaming, machine <br />learning and graph computing. <br />Page 57 of 65 <br />
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