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

From MKWiki
Jump to navigation Jump to search
Line 8: Line 8:
 
* As per DUCS guidelines [http://mkbhandari.com/mkwiki/data/fall2024/dm/DMGuideline.pdf  '''DSE: Data Mining''']
 
* As per DUCS guidelines [http://mkbhandari.com/mkwiki/data/fall2024/dm/DMGuideline.pdf  '''DSE: Data Mining''']
  
== '''Lab 0: Getting Started''' ( week of 05<sup>th</sup> & 12<sup>th</sup >  August 2024 ) ==
+
== '''Lab 0: Getting Started''' ( week of Jan 2024 ) ==
 
{| class="wikitable" style="text-align: justify; width: 100%";  
 
{| class="wikitable" style="text-align: justify; width: 100%";  
 
|-
 
|-

Revision as of 13:21, 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 Dataset: kidneyDisease.csv

Download from Kaggle: Chronic KIdney Disease dataset
Tutorial: Tutorial on Handling Missing values

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: