Course Details

JNTUH | CSE - Data Science | 3 Year | Semester - I

JNTU Hyderabad

9 Subjects 0 Lectures

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Subjects Covered | 9

Software Project Management

Web Programming

Devops

Introduction to Data Science

Data Mining

Artificial Intelligence

Computer Networks

Design and Analysis of Algorithms

Digital Image Processing

Software Project Management

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Web Programming

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Devops

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

Data Mining

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Artificial Intelligence

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Computer Networks

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

Digital Image Processing

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

JNTUH | CSE - Data Science | 3 Year | Semester - I

Subjects Covered | 9

Software Project Management

1 Conventional Software Management & Evolution of Software Economics

2 Improving Software Economics & The Old Way and the New

3 Life Cycle Phases Artifacts of the Process, Model Based Software Architectures & Workflows of the Process

4 Checkpoints of the Process & Project Organization and Responsibilities

5 Project Control and Process Instrumentation & Future Software Project Management, Case Study

Web Programming

1 Scripting

2 JAVA

3 JDBC

4 Applets

5 XML and Web Services

Devops

1 Introduction

2 Software development models and DevOps & DevOps influence on Architecture

3 Introduction to Project Management

4 Integrating the System

5 Testing Tools and Automation & Deployment of the System

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

Data Mining

1 Data Mining

2 Association Rule Mining

3 Classification

4 Clustering and Applications

5 Advanced Concepts

Artificial Intelligence

1 Problem Solving by Search-I & Search-II

2 Problem Solving by Search-II & Propositional Logic

3 Logic and Knowledge Representation

4 Planning

5 Uncertain knowledge and Learning

Computer Networks

1 Network Hardware, Network Software, Physical Layer

2 Data Link Layer, Elementary Data Link Protocols, Sliding Window Protocols, Medium Access Sub Layer

3 Network Layer

4 Transport Layer

5 Application Layer

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

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