Lab Details

 

Lab NoLab NameLab Details
C110PG LaboratoryINTEL CORE I5 12TH GEN, ASUS PRIME H610M-CS-D4, RAM CRUCIAL 16GB DDR4, ASUS GT-710 2GB SL PCIE, SSD WD 500GB, CIRCLE CABINET, LOGITECH MOUSE & KEYBOARD, 24” LENOVO MONITOR
C111Research LaboratoryINTEL CORE I5, ASUS MB, RAM 16GB DDR4 3200MHZ, SSD 500GB M.2 NVME, ASUS GT 710 2GB PCI GRAPHICS, CIRCLE CABINET WITH SMPS, LOGITECH KBD & MOUSE, 24” LENOVO MONITOR
PG Laboratory

Course Objectives:
To provide advanced hands-on experience in the practical execution, experimental validation, and optimization of complex algorithms, domain-specific systems, and post-graduate level engineering concepts.

Laboratory Work Includes:

  • Advanced implementation of specialized algorithms and frameworks
  • Simulation, benchmarking, and performance tuning of high-level computing system models
  • Deployment and practical testing of industry-standard tools and platform architectures
  • Comprehensive data collection, result visualization, and comparative analysis
  • Experimental evaluation of security, scalability, and efficiency metrics


Learning Outcomes:

Students will be able to:

  • Design and execute complex experimental setups relevant to advanced computing
  • Analyze system performance and troubleshoot complex technical bottlenecks
  • Evaluate and select appropriate high-level tools and frameworks for specialized engineering tasks

Course Objectives:

To train students in advanced research methodologies, systematic problem formulation, empirical validation, and standard academic dissemination for innovative computing solutions.

Laboratory Work Includes:

  • Formulation of novel research hypotheses and systematic literature review mapping
  • Design and development of experimental prototypes and proof-of-concept architectures
  • Rigorous experimental validation using benchmark datasets and statistical evaluation tools
  • Analysis and comparative evaluation against existing state-of-the-art research models
  • Preparation of technical manuscripts, research papers, and technical documentations


Learning Outcomes:
Students will be able to:

  • Identify research gaps and formulate structured, domain-specific research problems
  • Conduct rigorous empirical studies using scientific validation methodology
  • Produce high-quality research publications and technical documentation following academic standards.
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