ALL Courses during AY 2023-24

DS_PY_Skill_Lab_2324

Data Science with Python Lab Write up Submission Course

Unix Lab

This is Course page for Unix Lab Ay 23-24

Recent Open Source projects Lab

Computer Programming Paradigms Lab

This is Course Content for CPPL (Computer Programming Paradigms Lab) course from SEIt SEM III

Data Science Lab

The course has Six modules namely:

  1. Uncertainty in AI ( 1 Practical)
  2. Cognitive Computing (1 Practical) 
  3. Fuzzy Logic & Its Applications (1 Practical)
  4. Introduction to Deep Learning (3 Practical) 
  5. Advanced ML Classification Techniques (2 Practicals)
  6. Mini-project on trends and applications in Data Science (Mini Project Report) 

 The Lab involves  Completion of above said practical sessions During ODD SEM. We have organised this course to contain 6 Modules that need to completed each week by all batches and write ups need to be submitted in written or typed format as asked in assignments in every Module.  

Dev Ops and Adv Dev Ops Lab

During these courses we :

  • To understand DevOps practices which aims to simplify Software Development Life Cycle
  • To be aware of different Version Control tools like GIT, CVS or Mercurial
  • To Integrate and deploy tools like Jenkins and Maven, which is used to build, test and deploy applications in DevOps environment
  • To be familiarized with selenium tool, which is used for continuous testing of applications deployed.
  • To use Docker to Build, ship and manage applications using containerization
  • To understand the concept of Infrastructure as a code and install and configure Ansible tool.
  • To understand DevOps practices and cloud native environments to achieve continuous software delivery pipelines and automated operations that address the gap between IT resources and growing cloud complexity.
  • To Use Kubernetes services to structure N-tier applications.
  • To be familiarized with Infrastructure as code for provisioning, compliance, and management of any cloud infrastructure, and service.
  • To understand that security and speed in software development are not inversely-related objectives Internalizing the contribution of tools and automation in DevSecOps
  • To understand various troubleshooting techniques by monitoring your entire infrastructure and business processes
  • To understand how software and software-defined hardware are provisioned dynamically.

Java Lab (SBL)

Java Lab (SBL)

Lab Objectives:

The Lab experiments aims:

  1. To understand the concepts of object-oriented paradigm in the Java programming language.
  2. To understand the importance of Classes & objects along with constructors, Arrays ,Strings and vectors
  3. To learn the principles of inheritance, interface and packages and demonstrate the concept of re-usability for faster development.
  4. To recognize usage of Exception Handling, Multi threading, Input Output streams in various applications
  5. To learn designing, implementing, testing, and debugging graphical user interfaces in Java using Swings and AWT components that can react to different user events.
  6. To develop graphical user interfaces using JavaFX controls.
Lab Outcomes:

On successful completion, of course, learner/student will be able to:
  1. Explain the fundamental concepts of Java Programing. L1, L2
  2. Use the concepts of classes, objects, members of a class and the relationships among them needed for a finding the solution to specific problem. L3
  3. Demonstrate how to extend java classes and achieve re-usability using Inheritance, Interface and Packages. L3
  4. Construct robust and faster programmed solutions to problems using concept of Multi threading, exceptions and file handling L3
  5. Design and develop Graphical User Interface using Abstract Window Toolkit and Swings along with response to the events. L6
  6. Develop Graphical User Interface by exploring JavaFX framework based on MVC architecture. L6