Department of Computer Science & EngineeringAcademic Hub & Course Records

Laboratory Manuals
& Syllabus Index

This portal serves as the official reference repository for computer science laboratory course works. Students can browse structured experiment logs, explore implementation codes, verify outputs, and prepare for oral evaluations.

COURSES02
EXPERIMENTS11
VIVA ITEMS52

Syllabus Directory

SEC-01 / ACTIVE_COURSES
Syllabus Record4 Experiments

Deep Learning

Multi-Layer Perceptrons, model optimization, parameter norm regularization, and convolutional/recurrent layers.

#MLP#Generalization#Keras
view_manual.exe →
Syllabus Record7 Experiments

Cloud Computing

Virtualization instances, Security Group port firewalls, Docker containerization, and orchestration profiles.

#AWS#EC2#Docker
view_manual.exe →

Course Regulations

SEC-02 / RULES

Laboratory Regulations

  1. Syllabus CoverageAll practical sessions correspond directly to the prescribed course curriculum. Check individual subject sections for detailed logs.
  2. Evaluation CriteriaContinuous assessment is based on the logic implementation, parameter log files, training accuracies, and overall correctness.
  3. Viva-Voce PrepOral exams assess conceptual understanding of key algorithms, parameters, architectures, and design trade-offs. Each experiment lists common viva questions for self-study.
  4. Colab/Code ExecutionDirect Jupyter/Google Colab notebooks are linked under each experiment to facilitate fast verification and interactive model training.
REVISION STATE:READY
SESSION:AUTUMN TERM