Wednesday, March 18, 2026
Wednesday, March 4, 2026
Introduction to Quantum Computing (2025-26 for MTech)
Syllabus : click here
Lecture plan : click here
Lecture plan : click here
Classical computers are built from semiconductor chips containing billions of transistors. For decades, the number of transistors on a chip has roughly doubled every two years, a trend known as Moore’s Law. However, as transistors approach atomic scales, continuing this trend is becoming increasingly difficult, motivating the exploration of new computing paradigms such as quantum computing.
| Date | Topic | Slides | Lecture Notes |
|---|---|---|---|
| 09-03-26 | Introduction, Why Quantum
Computing? Milestones in quantum theory (Planck, Einstein, Bohr) |
Slides | Notes |
Sunday, November 30, 2025
Machine Learning Skill Course ( 2025-26)
Syllabus : click here
Lecture plan : click here
Project statements : click here
report format : Title page, undertaking page, certificate page followed by
Latexformat (Suggest to use overleaf) and pdfformat
OR
worddocformat
General Resources:
Lecture plan : click here
Project statements : click here
report format : Title page, undertaking page, certificate page followed by
Latexformat (Suggest to use overleaf) and pdfformat
OR
worddocformat
| Date | Theory Topic | Practical topic | Resources | Submission |
|---|---|---|---|---|
| 01/12/2025 | Introduction to Machine Learning | Numpy and Pandas | Theory , Lab , Data Set | Submit |
| 08/12/2025 | Data Pre-Processing and Feature Engineering | Data Cleaning, Transformation, Feature Engineering with Numpy, Pandas | Theory , Lab | Submit |
| 15/12/2025 | Data Visualization with Matplotlib & Seaborn | Lab | Submit | |
| 22/12/2025 | Recap | |||
| 29/12/2025 | K-NN and Naive Bayes | K-NN and Naive Bayes using scikit-learn | Theory, Lab | |
| 05/01/2026 | Decision Tree Classifier | Decision Tree Classifier using scikit-learn | Theory, Lab | |
| 12/01/2026 | Support Vector Machine(SVM) based classifier | Support Vector Machine(SVM) based classifier using scikit-learn | Theory, Lab | |
| 16/02/2026 | Linear Regression using scikit-learn | Theory, Lab |
Saturday, July 19, 2025
Machine Learning - Minor (2025-26)
Welcome to the course
- Lecture material : Click here
- Videos: Click here
Monday, June 30, 2025
Design and Analysis of Algorithms ( 2025-26)
Welcome to the course
- Lecture material : Click here
- Selected Toipcs Videos: Click here
- Quiz-1 paper with solutions : QPaper , Deatiled_solutions , Explanation Video
- MID-1 paper with solutions : QPaper , Detailed_solutions, Explanation Video
- hacker rank coding contest (Greedy and DP-1D): JNTUGV_III_CSE_Greedy_DP1D
- Assignment -2 : Solving 4 X 4 Sudoku using back tracking and draw a state space tree
- Select a puzzle based on last two digits your roll number (501 should select puzzle 01)
- Click here for list of puzzles
-
We will be following two text books
- Text book1 : Fundamentals of Computer Algorithms by Ellis Horowitz, Sartaj Sahni, Sanguthevar Rajasekaran
- Text book2 : Introduction to Algorithms by Thomas H. Cormen, charles e. leiserson, ronald l. rivest, clifford stein
- (Unit-I) Introduction : Text book1 (Pages 1 to 62)
- (Unit-II) Divide and conquer : Text book1 (Pages 136 to 196)
- (Unit-III) Greedy : Text book1 (Pages 210 to 269)
- (Unit-III) Dynamic Programming : Text book1 (Pages 272 to 317)
- (Unit-IV) BackTracking : Text book1 (Pages 359 to 392)
- (Unit-V) Branch and Bound : Text book1 (Pages 399 to 431)
Monday, July 22, 2024
Design and Analysis of Algorithms(2024-25)
Welcome to the course
-
We will be following three text books
- Text book1 : Fundamentals of Computer Algorithms by Ellis Horowitz, Sartaj Sahni, Sanguthevar Rajasekaran
- Text book2 : Introduction to the design and analysis of Algorithms, Anany Levitin
- Text book3 : Introduction to Algorithms by Thomas H. Cormen, charles e. leiserson, ronald l. rivest, clifford stein
- (Unit-I) Introduction : Text book1 (Pages 1 to 62)
- (Unit-II) Decrease and conquer : Text book2 ( Click here )
- (Unit-II) Divide and conquer : Text book1 (Pages 136 to 196)
- (Unit-II) Transofrm and conquer : Text book2 ( Click here)
- (Unit-III) Greedy : Text book1 (Pages 210 to 269)
- (Unit-IV) Dynamic Programming : Text book1 (Pages 272 to 317)
- (Unit-V) BackTracking : Text book1 (Pages 359 to 392)
- (Unit-V) Branch and Bound : Text book1 (Pages 399 to 431)
Computer Organization (2024-25-EEE)
Welcome to the course
-
Two text books we will be following
- Text book1 : Computer Organization by Carl Hamacher, Zvonks Vranesic, Safea Zaky 5th edition
- Text book2 : Computer System Architecture by M. Morris Mano
- (Unit-I) Basic Structure of Computers : Text book1 (Pages 2 to 23)
- (Unit-I) Data Representation Toipc : Text Book2 (Page 67 to 90)
- (Unit-II) Machine Instructions and Programs : Text book1 (Pages 37 to 86)
- (Unit-III) Input/Ouput Organization : Text book1 (Pages 203 to 272)
- (Unit-IV) Memory Systems : Text book1 (Pages 291 to 358)
- (Unit-V) Processing Unit : Text book1 (Pages 411 to 440)
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