The list of CDAC's Post Graduate Diploma courses and their eligibility criteria is provided below. PG-DBDA, Post Graduate Diploma in Big Data Analytics.
. Graduate in Engineering or equivalent (e.g. BE / BTech / 4-year BSc Engg / AMIE / DoEACC B Level) in IT / Computer Science / Electronics / Telecommunications / Electrical / Instrumentation. OR. Post Graduate Degree in Engineering Sciences with corresponding basic degree (e.g. MSc in Computer Science, IT, Electronics) OR.
4-year Graduation inBioinformatics, OR. Post Graduate Degree in Mathematics / Statistics / Physics / MBA Systems, O R. MCANote: The candidates must have secured a minimum of 55% marks in their qualifying examination.
Linux History and Operation,Installing and Configuring Linux, Shells, Commands, and Navigation, Common TextEditors, Administering Linux, Introduction to Users and Groups, Linux shellscriptingIntroduction toCloud Computing: Definition,Characteristics, Components, Cloud provider, SAAS, PAAS, IAAS and otherOrganizational scenarios of clouds, Administering & Monitoring cloudservices, benefits and limitations, Deploy application over cloud. Comparisonamong SAAS, PAAS, IAAS, Cloud computing platforms: Infrastructure as service:Amazon EC2, Platform as Service: Google App Engine, Microsoft Azure UtilityComputing, Elastic Computing, SLA, clusters, cloud analytics, challenges ofcloud environment, HPC in the cloudParallel ProcessingConcepts: Physical Organization andbuilding blocks of High Performance Computing Systems, Processors andMulti-Core Architectures, Vector processing, Super-scalar, In-order execution,Instruction-Level Parallelism etc., FMA, 32 and 64 bit types, ISA, Acceleratorssuch as GPGPUs and Xeon Phi. Threads and Processes, Multi-processing OS,Parallel I/O, General conceptsParallel ProgrammingModels and Parallel Algorithms Design: Applicationdomains of HPC, Decomposition Techniques: Data parallelism, Functionalparallelism, Divide and Conquer etc., Characteristics of Tasks andInteractions, Mapping Techniques for Load Balancing, Methods for ContainingInteraction Overheads, Granularity of parallelism, Programming OpenMP. Introduction toCloud Computing: Definition,Characteristics, Components, Cloud provider, SAAS, PAAS, IAAS and otherOrganizational scenarios of clouds, Administering & Monitoring cloudservices, benefits and limitations, Deploy application over cloud.