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CALIFORNIA SCIENCE AND TECHNOLOGY UNIVERSITY
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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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• 15-1131.00 - Computer Programmers <br />• 15-1199.01 - Software Quality Assurance Engineers and Testers <br />• 15-1134.00 - Web Developers <br />• 15-1111.00 - Computer and Information Research Scientists <br />• 15-1199.07 - Data Warehousing Specialists <br />I. Core Requirements (21 credits) <br />• <br />CSE520 <br />Advanced Operating System <br />• <br />CSE540 <br />Advanced Data Structure and Algorithms <br />• <br />CSE550 <br />Advanced Java Programming for Internet Application <br />• <br />CSE552 <br />Full Stack Development <br />• <br />CSE554 <br />Internet and Network Security <br />• <br />CSE556 <br />Database System <br />• <br />CSE558 <br />Machine Learning <br />• <br />CSE572 <br />Artificial Intelligence application using TensorFlow <br />• <br />CSE574 <br />Deep Learning <br />• <br />CSE590 <br />Special Topics <br />• <br />CSE591 <br />Seminars <br />• <br />CSE600 <br />Python for AI <br />• <br />CSE604 <br />Machine Learning Fundamental <br />• <br />CSE606 <br />Al Application with GAN <br />• <br />CSE608 <br />Al Application with Reinforcement Learning <br />• <br />CSE610 <br />Cloud Computing and Security <br />• <br />CSE612 <br />Al Application in Computer Vision <br />• <br />CSE618 <br />Algorithm in Python <br />• <br />CSE620 <br />Deep Learning with PyTorch <br />• <br />CSE622 <br />Big Data Analytics with Apache Spark <br />• <br />CSE624 <br />Network Security <br />• <br />CSE628 <br />Machine Learning for NLP <br />• <br />CSE630 <br />Data Engineering with SQL and NoSQL <br />• <br />CSE632 <br />Introduction to Cloud Computing <br />• <br />CSE636 <br />DevOps <br />• <br />CSE638 <br />Deep Learning with TensorFlow <br />• <br />CSE650 <br />Digital Integrated Circuit Design using FPGA <br />II. Electives (6 credits) <br />The student may take any graduate -level courses to meet the requirements of elective courses, <br />including those outside of computer engineering. When applicable, the student may take <br />Curricular Practicum courses and engage in practical training to work on company projects <br />that are directly related to the student's course of study. No more than 6 credits of practicun <br />Page 40 of 65 <br />
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