Course Details

JNTUH | CSE - AI & DS | 3 Year | Semester - I

JNTU Hyderabad

6 Subjects 0 Lectures

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Subjects Covered | 6

Digital Image Processing

Software Engineering

Introduction to Data Science

Machine Learning

Design and Analysis of Algorithms

Software Testing Methodologies

Digital Image Processing

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Software Engineering

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Introduction to Data Science

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Machine Learning

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Design and Analysis of Algorithms

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Software Testing Methodologies

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

JNTUH | CSE - AI & DS | 3 Year | Semester - I

Subjects Covered | 6

Digital Image Processing

1 Digital Image Fundamentals & Image Transforms

2 Image Enhancement (Spatial Domain & Frequency Domain)

3 Image Restoration

4 Image Segmentation

5 Image Compression

Software Engineering

1 Introduction to Software Engineering, A Generic View of Process, Process Models

2 Software Requirements, Requirements Engineering Process, System Models

3 Design Engineering, Creating an Architectural Design

4 Testing Strategies, Product Metrics

5 Metrics For Process and Products, Risk Management, Quality Management

Introduction to Data Science

1 Introduction & Basics of R

2 Data Types & Statistical Description

3 Vectors, Matrices, Factors and Data Frames & Lists

4 Conditionals and Control Flow, Iterative Programming in R & Functions in R

5 Data Reduction & Data Visualization

Machine Learning

1 Introduction & Decision Tree Learning

2 Artificial Neural Networks-1 & 2, Evaluation Hypotheses

3 Bayesian learning, Computational learning theory & Instance-Based Learning

4 Genetic Algorithms, Learning Sets of Rules & Reinforcement Learning

5 Analytical Learning-1 and 2 & Combining Inductive and Analytical Learning

Design and Analysis of Algorithms

1 Introduction & Divide and conquer

2 Disjoint Sets & Backtracking

3 Dynamic Programming

4 Greedy Method

5 Branch and Bound & NP-Hard and NP-Complete Problems

Software Testing Methodologies

1 Introduction

2 Transaction Flow Testing

3 Paths, Path Products and Regular Expressions

4 State, State Graphs and Transition Testing

5 Graph Matrices and Application