B.Tech

B.Tech 6th SEM

Big Data (BCS061)

1. Introduction to Big Data sybca-bigdata-ppt.pdf

2. Hadoop Modules and Ecosystem.pptx

3.assignment 1 big data.docx

4. Hadoop Streaming.pptx

5. MapReduce.pptx

6. MRUnit.pptx

7. NoSQL.pptx

8. Introduction to Hadoop Scheduler.pptx

• CT 1 MarksStudentInternalMarks (4).xls
• Assignment submission statusBig Data Assignment 1 status.xlsx
• List of slow and fast learnerSlowFast Learner.xlsx
• Assignment slow learner.docx (deadline 25 April 2025)
• Assignment fast learner.docx(deadline 26 April 2025)

B.Tech 5th SEM

Artificial Intelligence BCAI501

• Unit 1
• What is AI.docx
• What is the role of intelligent agent.docx
• What is a AI shell.docx
• Typical Intelligent Agents.docx
• turing test.docx
• The Future of Artificial Intelligence.docx
• Properties of a Task Environment in AI Agents.docxAutomated Reasoning.docx
• ai unit 1 notes.pdf
• Game Trees and AI Agents.docx
• 
  
• Unit 2
• Problem solving approach to AI problems.docx
• Genetic Algorithms - Quick Guide.pdf
• Local Search Algorithms and Optimization Problems.docx
• Constraint Satisfaction Problems.docx
• Searching with Partial Observations.docx
• Unit 3
• knowledge representation.docx
• First Order Predicate Logic.docx
• Unit 3 notes.pdf
• Forward Chaining and Backward Chaining.docx
• Ontological Engineering.docx
  
  
• Unit 4
• Software Agents.docx
• Agent Communication Languages.docx
• Unit 5 
• Information Retrieval.docx
• Machine Translation.docx
• Natural Language Processing.docx
• CNP.docx
• Clustering Methods.pptx

AI Lab Syllabus (1).docx

Lab Viva Questions.docx

• Assignment 1.docx(Submission due on 16/10/2024)
• Slow Learner of AI.pdf
• Assignment1 for slow learner.docx.pdf
• Assignment2 for slow learner.docx.pdf
  

B.Tech 6th SEM

Deep Learning and its applications CSA303

• Activation Functions in Deep Learning.pdf
• Deep Learning quick guide-pages-1.pdf
• Deep Learning quick guide-pages-2.pdf
• Backpropagation.pdf
• gradientDecent.pdf

B.Tech 7th SEM

Computer Vision CSA401

• Computer Vision intoduction.pdf
• Verification vs Identification Systems.pdf
• Lect04 color.pdf
• color spaces in opencv.pdf
• Camera_caliberation.pdf
• Radiometry of image formation.pdf
• Erosion_blurring_bordering.pdf
• computervision lec 7.docx
• computer vision lec 8.docx

B.Tech 7th Sem

Elective 

Business Intelligence

• Syllabus CSD401_Business Intelligence.docx
• Data_Mining_techniques.pdf
• 10 Key Data Mining Techniques and How Businesses Use Them.pdf
• Data Mining tools.pdf
• Data Mining Architecture.pdf
• Data Mining Implementation Process.pdf
• What is Data Mart.pdf

B.Tech CS/IT  Sem -2

 Design & Creativity  (CSP116)

• Report Format csp116.docx

1. Syllabus CSP116 Design & Creativity Lab.docx
2. Plan of Action dcl.docx.pdf
3. Lab task https://forms.gle/siGXoGTRgbr1fGTJ7

5. 

6.

7.

8.

• Submit your PPT here

B.Tech 4th SEM 

Human Computer Interaction CSA021

1. Syllabus CSA021_Human Computer Interaction.docx
2. HCI_week1.pdf
3. HCI_week2.pdf
4. HCI_week3 Lecture   AnswerHCI_ans1.png
5. HCI_Week4.pdf
6. IxD 5DimensionsDimensions of intereaction designs.pdf
7. Interactive System Design.pdf
8. CSA021 Unit 1 -2 Assignment.pdf         SUBMIT HERE (e.g. name_systemid.pdf)
9. Design patterns in HCI.pdf
10. Implementation support in HCI.pdf
11. HCI - Evaluation.pdf
12. The Seven Principles of Universal Design.pdf
13. multimodel in HCI.pdf
14. Fitts Law and Buxton 3 state model.pdf
15. GOMS.pdf
16. The use of Task Analysis in HCI.pdf
17. Design Process Task Analysis.pdf
18. Purpose of Task Analysis.pdf
19. CSA021 assignment 2.pdf
20. Value Added Material

B.Tech 7th SEM

Computer Vision CSA401

• Syllabus CSA401_Computer Vision.docx                 Lab CAL401_Computer Vision Lab.docx        
• Day1 Computer Vision (CSA401).pptx
• Lab Assignments cvexp1.docx    Submit here
• Color Spaces in OpenCV.pptx
• Lab Assignments cvexp2.docx       Submit here
•  Lab Assignment cvexp3.docx        Submit here
• image blurring.pptx
• Lab Assignment cvexp4.docx      Submit here
• Lab Assignment cvexp5.docx       Submit here
• Code files for reference are below

• Camera Calibration.pptx
• Lab Assignment cvexp6.docx     Submit here
• Image Segmentation.pptx
• Lab Assignment cvexp7.docx   Submit here
• Assignment 1.docx     Sumbit Here
• Monocular Imaging System.pptx
• Capture Video from Camera.pptx
• Histograms Equalization.pdf
• ImageFormation.pdf
• Feature detection algorithms.pdf
• SIFT.docx

• ---

  Normalization.pdf

• morphology-gonzalez-woods.ppt

• 
  

B.Tech 6th SEM

 Python Summer Training

• Course Content - Python_Training.docx
• Book on Data Structure and algorithm thinking with python
• day1.pdf
• day1 solutions python_training_1_06_2020.py
• day2.pdf 
• Day2 solutions training_2june.py
• day3
• Day 3 solutions training_3june.py
• day4.pdf
• Day 4 solutions training_4june (1).py
• day5.pdf
• Day 5 solutions training_5june (1).py
• week2 day1week2day1.pdf
• Week2 day1 solutions training_june8.py
• week2day2.pdf
• Week2 day2 solutionstraining_june9.py
• week2day3.pdf
• Week2 day3 solutions training_june10.py
• week2 day4 week2day4.pdf
• week2 day4 solutins june11.py
• week2 day5week2day5.pdf
• week2 day5 solutions june12.py
• week3 day1 week3day1.pdf
• week3 day1 solutions june15.py
• week3 day2 week3day2.pdf
• week3 day2 solutions june16.py

B.Tech 4th SEM

Industry Oriented Python 2 -BCSE3072

SyllabusIndustry_oriented_Python2.pdf

• How to use colab
• Reference Study Material
• Top 5 Python Libraries For Data Science / Machine Learning
• Python BOOK

1. Introduction to python  (video 1)
2. What is Python 
3. Getting Started with Python
4. Python Data Types
5. Python Strings
6. Python Boolean and Operators
7. Taking input in python
8. Python Variable Assignment and Memory Location
9. Python Collections - List (part 1)
10. Python Tuple
11. Python Sets
12. Python Dictionary
13. Selection control structures/branching (If ..Else)
14. Python Loops - While loop
15. Python Loops - For loop
16. The immutability concept of Tuples
17. Python Functions
18. Python Functions with arbitrary arguments
19. Python Regular Expression Module
20. Classes and Objects
21. Python oops concepts
22. Python Stacks
23. Bubble Sort
24. Insertion sort
    
    • Assignment

B. Tech 6th SEM

Python -3

• Assignment 24.03.2020
• Assignment 26.03.2020

B.Tech 3rd SEM

OOPS LAB

• C++ Book

ECE 7th

IoT Application Development

Python Machine Learning Book                                                               

QUIZ 1

QUIZ 2

• Online reference material 
• Example boards

1. Domain Specific Application of IoT
2. Embedded IoT Platform Design Methodology
3. Cloud Storage Model
4. Types of cloud storage
5. BOLT API for IOT products and projects(online material)
6. RESTful Web API
7. Some question answers

IT 7

Genetic Algorithm (CS-1741)

Professional Elective - II

Introduction and Course Structure 

Unit 1: 

• Basics of Optimization
• Optimization Problems
• Point to Point Algorithms
• Simulated Annealing