Capstone Project-I

Paper Code: 
25SBDA411
Credits: 
02
Periods/week: 
04
Max. Marks: 
100.00
Objective: 

The course will enable the students to

1.   Create projects using  machine learning techniques.

2.   Identify the  packages needed to  solve  the  problem taken up as project.

 

Course Outcomes: 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment

Strategies

Course

Code

Course

Title

 

 

 

 

 

 

 

 

C

 

25SBDA411

 

 

 

 

 

 

 

 

apstone Project- I

(Project)

CO265.  Critically  analyse the  problem domain.

CO266. Integrate interdisciplinaryknowledge  to  create a proposal to develop a solution.

CO267. Develop  solution using machine learning techniques.

CO268.Interpret  andVisualize the  results.

CO269.Design     reports based on project solution.

CO270.Contribute effectively  in course-specific interaction

Approach in teaching:

 

Interactive Lectures, Discussion, Demonstration,

 

Learning activities for the students:

 

Self-learning assignments, Practical  questions

Class test, Semester end examinations, Quiz, Presentation, Viva

Individual and group Assignments

 

Project will assign by the  company or university. Student will develop a report based on the  outcomes of project.

Project must be  done in a group of 2-4 students.

  1. Final Evaluation will be  done by:
  2. Project Demonstration
  3. Power  Point Presentation
  4. The  marks of the  i project would  be  given  on the  basis  of internal assessment of the project asgiven in the  course structure.

General instructions for preparation of project report

1.         Introduction

   1.1.       Cover Page

   1.2.       Title Page

   1.3.       Certificate

   1.4.       Acknowledgement

   1.5.       Table  of Contents

2.         Project Specifications

   2.1.      Project Overview

   2.2.      Project Need

3.         Specific Requirements

   3.1.       External Interface Requirements

   3.2.       Hardware Interfaces

   3.3.       Software Interfaces

4.          Project Features

     4.1.    System Architecture

    4.2.      Data  Requirements

    4.3.      Data  Flow Diagram

    4.4.      Exploratory Analysis

    4.5.      Data  Visualization

    4.6.      Report Formats with comparative analysis

5.         Drawbacks and Limitations

6.         Proposed Workflow

7.         Conclusion

8.         Bibliography

9.         Annexure:

      9.1.   Output Reports with Data  (if any)

      9.2.    Program Code

 

Academic Year: 
2025-26
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