Course Details

JNTUH - R22 | CSE - Data Science | 3 Year | Semester - II

JNTU Hyderabad

6 Subjects 0 Lectures

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Subjects Covered | 6

Automata Theory & Compiler Design

Machine Learning

Software Testing Methodologies

Big Data Analytics

Mobile Application Development PE - III

Fundamentals of Data Science

Automata Theory & Compiler Design

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

Software Testing Methodologies

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Big Data Analytics

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Mobile Application Development PE - III

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Fundamentals of Data Science

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

JNTUH - R22 | CSE - Data Science | 3 Year | Semester - II

Subjects Covered | 6

Automata Theory & Compiler Design

1 Introduction to Finite Automata, Nondeterministic Finite Automata & Deterministic Finite Automata

2 Regular Expressions, Pumping Lemma for Regular Languages & Context-Free Grammars

3 Push Down Automata, Turing Machines & Undecidability

4 Introduction, Lexical Analysis & Syntax Analysis

5 Syntax-Directed Translation, Intermediate-Code Generation & Run-Time Environments

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

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

Big Data Analytics

1 Introduction to Big Data

2 Big Data Technologies

3 Introduction Hadoop

4 Hadoop Architecture

5 Data Analytics with R Machine Learning

Mobile Application Development PE - III

1 Introduction to Android Operating System

2 Android User Interface, Event Handling & Fragments

3 Intents and Broadcasts & Broadcast Receivers

4 Persistent Storage

5 Database

Fundamentals of Data Science

1 Data Science & NumPy Basics

2 Getting Started with Pandas

3 Data Loading, Storage, and File Formats

4 Data Wrangling

5 Plotting and Visualization