Difference between revisions of "Spring 2025: Software Engineering Lab"

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| style="width: 60%" | Problem Statement
 
| style="width: 60%" | Problem Statement
 
| style="width: 15%" |  Chapter 1
 
| style="width: 15%" |  Chapter 1
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| '''Dataset:''' [http://mkbhandari.com/mkwiki/data/fall2024/dm/datasets/kidneyDisease.csv '''kidneyDisease.csv'''] <br>
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'''Download from Kaggle:''' [https://www.kaggle.com/datasets/mansoordaku/ckdisease Chronic KIdney Disease dataset] <br>
 
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'''Tutorial:''' [https://www.kaggle.com/code/alexisbcook/handling-missing-values#How-many-missing-data-points-do-we-have? Tutorial on Handling Missing values]
 
 
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Revision as of 13:22, 15 December 2024

Instructions

  • Please be on time to avoid the Attendance Penalty.
  • Please put your mobile phone in the Silent Mode.
  • Each lab assignment needs to be submitted in the Google Classroom for evaluation(will be notified in the GC lab-wise, submit before the deadline).
  • Turn off(shut down) your assigned computer and arrange the chair before you leave the lab.

Guidelines

Lab 0: Getting Started ( week of Jan 2024 )

Q. NO. Program Practical No. Remarks
1 https://www.cse.msu.edu/~ptan/dmbook/tutorials/tutorial1/tutorial1.html Introduction to Python
2 https://www.cse.msu.edu/~ptan/dmbook/tutorials/tutorial2/tutorial2.html Practice Set No. 2 Introduction to Numpy and Pandas
3 https://www.cse.msu.edu/~ptan/dmbook/tutorials/tutorial3/tutorial3.html Practice Set No. 3 Data Exploration

Lab 1: ( week of Jan 2025 )

Q. NO. Program Practical No. Remarks
1 Problem Statement Chapter 1

Lab 2: ( week of 2nd & 9th September 2024 )

Q. NO. Program Practical No. Remarks
1 Process Model Chapter 2 Dataset: rain.csv

Download from data.gov.in: Rainfall in India

Lab 3: ( week of 16th, 23rd & 30thSeptember 2024 )

Q. NO. Program Practical No. Remarks
1 Rquirement Analysis & Modelling

Lab 4: ( week of 7th October 2024 )

Q. NO. Program Practical No. Remarks
1 Software Requirement Specification(SRS) Practical No. 3 Dataset: Mall_Customers.csv

Download from data from kaggle: Mall Customer Segmentation Data

Projects

Team No. Project Title Team Members Outcomes/Remarks
1 Title 1
  1. Name (RollNo.)
  2. Name (RollNo.)
  3. Name (RollNo.)
  4. Name (RollNo.)
  • Report:
  • Project Presentation:
2 Title 2
  1. Name (RollNo.)
  2. Name (RollNo.)
  3. Name (RollNo.)
  4. Name (RollNo.)
  • Report:
  • Project Presentation:
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