Add-on Courses

The Department of Computer Applications offers various skill enhancing add-on courses to empower the students thereby supplementing the MCA curriculum to bridge the gap between industry and academia. These add-on programs are offered with the help of internal as well as external resources. Students who successfully complete these courses are issued with certificates.

List of Courses

(2023 – 2024)

 

1. Add-On Course on AWS Fundamentals

  • Course Code: 21MCAAOC401
  • Resource Person: Internal
  • Beneficiaries: Fourth Sem MCA Students
  • Instructional Strategies: Lectures, Tutorials, MCQs, Assignments/Activities.
  • Course Objectives: The Course is intended for final year students aiming to help them to build andΒ  validate their skills so they can get more out of the cloud. This AWS Fundamentals Course is designed to teach the core concepts needed to work effectively within AWS.

2. Self-Paced Course on Academic Typesetting Using LaTeX

  • Course Code: 21MCAAOC301
  • Resource Person : External
  • Beneficiaries: Third Sem MCA Students
  • Instructional Strategies: Video Lectures, Tutorials, MCQs, Assignments/Activities.
  • Sample Video Link : https://youtu.be/c5dnMPrdits
  • Course Objectives: The Course is intended for final year students aiming to help them in preparing the main project report, mini project report and the seminar report using LaTeX. For preparing the presentations, the beamer package is also introduced through the course.

3. Add-On Course on Statistical Programming Using R

  • Course Code : 21MCAAOC201
  • Resource Person : Internal
  • Beneficiaries: Second Semester MCA Students
  • Instructional Strategies: Lectures, Assignments/Tutorials.
  • Course Objectives: The Course is intended for second semester MCA students aiming to introduce the R Programming language. R is an open-source programming language that is widely used as a statistical software and data analysis tool. R provides various facilities for carrying out machine learning operations like classification, regression and also provides features for developing artificial neural networks which will be beneficial for the students while doing mini or main projects.

4. Add-On Course on Data Mining Tools

  • Course Code : 21MCAAOC201
  • Resource Person : Internal
  • Beneficiaries: Second Semester MCA Students
  • Instructional Strategies: Lectures, Assignments/Tutorials.
  • Course Objectives: The Course is intended for second semester MCA students aiming to introduce the Data Mining concepts and commonly used tasks/algorithms. The implementation of concepts/algorithms using Weka, R Programming language have also been introduced which will be beneficial for the students to do mini/main projects in Data Mining.

5. Add-On Course on Review of C Programming

  • Course Code: 21MCAAOC101
  • Resource Person: Internal
  • Beneficiaries: First Semester MCA Students
  • Instructional Strategies: Lectures, Assignments/Tutorials.
  • Course Objectives: This is a basic course and the student is expected to review and understand the programming concepts which will in turn help them in learning other Computer Languages in the curriculum.

6. Add-On Course on Basics of Accounting

  • Course Code: 21MCAAOC102
  • Resource Person: Internal
  • Beneficiaries: First Semester MCA Students
  • Instructional Strategies: Lectures, Assignments/Tutorials.
  • Course Objectives: This course is intended to help the students to learn the basic concepts and functions of accounting and its role in the performance of an organization and to understand how to record the day-to-day operations of an organization in standard format. Learners shall have a broad view of terms like journal, ledgers and final book of accounts.