Course Details

JNTUK | CSE | 4 Year | Semester - I

JNTU Kakinada

6 Subjects 0 Lectures

6 Months Subscription Validity
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Subjects Covered | 6

Block Chain Technologies PE - V

Cloud Computing PE - III

Cryptography & Network Security

UML & Design Patterns

Machine Learning

Deep Learning

Block Chain Technologies PE - V

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Cloud Computing PE - III

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

Cryptography & Network Security

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

UML & Design Patterns

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

Deep Learning

1.1 PYQ's

2.1 PYQ's

3.1 PYQ's

4.1 PYQ's

5.1 PYQ's

JNTUK | CSE | 4 Year | Semester - I

Subjects Covered | 6

Block Chain Technologies PE - V

1 Introduction

2 Hashing, public key cryptosystems & Many Other Topics

3 Introduction to Bitcoin

4 Ethereum continued, IOTA & Many Other Topics

5 Technical challenges, Business Model Challenges & Many Other Topics

Cloud Computing PE - III

1 Systems Modeling, Clustering and Virtualization

2 Virtual Machines and Virtualization of Clusters and Data Centers

3 Cloud Platform Architecture

4 Cloud Resource Management and Scheduling

5 Storage Systems

Cryptography & Network Security

1 Classical Encryption Techniques

2 Symmetric Key Cryptography, Number Theory

3 Public Key Cryptography, Digital Signatures

4 User Authentication, IP Security

5 Transport Level Security, Firewalls

UML & Design Patterns

1 Introduction to UML

2 Behavioral Modeling

3 Advanced Behavioral Modeling, Design Pattern

4 Creational Patterns, Structural Patterns

5 Behavioral Patterns

Machine Learning

1 Introduction, Inductive Classification

2 Decision Tree Learning

3 Computational Learning Theory, Rule Learning

4 Artificial Neural Networks, Support Vector Machines

5 Bayesian Learning, Instance-Based Learning

Deep Learning

1 Fundamentals of Deep Learning & Fundamentals of Machine Learning

2 Introducing Deep Learning

3 Neural Networks

4 Convolutional Neural Networks & Recurrent Neural Networks

5 Interactive Applications of Deep Learning & Deep Learning Research