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Trees, <br />Graph, <br />Stacks, <br />Queues <br />Compression <br />Length of Module: 70 hours. Sequence and frequency of class sessions: Six days a week for four hours <br />per day. <br />Skills Measurement: Student must pass a test at the end of the module and score at least 60% to pass. <br />Module 3: Algorithms <br />Module Educational Objectives: <br />• Algorithms:: <br />Searching, sorting, depth first search, breadth first search, topological sort and minimum spanning <br />trees <br />Length of Module: 70 hours. Sequence and frequency of class sessions: Six days a week for four hours <br />per day, <br />Skills Measurement: Student must pass a test at the end of the module and score at least 60% to pass. <br />Module 4: Data Science <br />Module Educational Objectives: <br />• Data Analytics, Data Visualization using Python. Learn to use MapReduce, Hadoop, Hive and <br />Spark <br />Length of Module: 70 hours. Sequence and frequency of class sessions: Six days a week for four hours <br />per day. <br />Skills Measurement: Student must pass a test at the end of the module and score at least 60% to pass. <br />Module 5: Machine Learning <br />Module Educational Objectives: <br />• Artificial Intelligence and Machine Learning, Build ML models using large data sets. <br />Length of Module: 70 hours. Sequence and frequency of class sessions: Six days a week for four hours <br />per day. <br />Skills Measurement: Student must pass a test at the end of the module and score at least 60% to pass. <br />Module 6: DevOps Management <br />Module Educational Objectives: <br />Updated 091323 103 <br />