CSE 904C TH: Probability and Random Processes

Lecture (1-2). Sample Space and Probability

Lecture (3-4). Random Variables

Lecture (5-8). Some Special Distributions

Lecture (9-10). Convergence, Law of Large Numbers, Central Limit Theorem

Lecture (11). Linear Regression and Correlation

Lecture (12-16). Stochastic Process and Markov Chain

Lecture (17-18). Statistical Test

CSE 905C PR: Image Processing Lab in Python

Practical (1-2). Introduction to Python Installation and Basic Programming

Practical (3-4). Some Basic Programming

Practical (3-4). Handling Image Operations like Histogram Equalization using Python

Practical (3-4). Handling Image Operations like Histogram Equalization using Python

Practical (3-4). Handling Image Operations like Histogram Equalization using Python

Practical (3-4). Handling Image Operations like Histogram Equalization using Python

CSE 120: Python Programming

Module 1. Operators and Control Statements

Module 2. String and Data Structures - List, Tuple, Dictionary

Module 3. Functions and Modules

Module 4. Object Oriented Programming

Module 5. Regular Expressions

CSE 160: Data Structures

Module 1. Array and Linked List

Module 2. Stack and Queue

Module 3. Tree and Graph

Module 4. Searching, Sorting, and Hashing

Module 5. Analysis of Algorithm, Time Complexity

CSE 180: Advance Python Programming

Module 1. Introduction of Python, Data Pre-processing

Module 2. Numpy, Pandas, Data Analysis

Module 3. Data Visualization

Module 4. Machine Learning - Regression, Classification, and Clustering

Module 5. Tensorflow, Capstone Projects

Classes for B.Tech in Computer Science and Engineering at SRM University [December 2022 Onwards]

18CSC204J: Design and Analysis of Algorithms

Unit I. Introduction to Algorithms and Time Complexity Analysis

Unit II. Divide and Conquer

Unit III. Greedy Approach and Dynamic Programming

Unit IV. Backtracking, and Branch&Bounding

Unit V. Randomization and Approximation Algorithm