2CSE601 - Theory of Computation (RLP)

UNIT-01 Review of Mathematical Background

Sets, Functions, Logical statements, Proofs, Relations, Languages, The Principle of

Mathematical induction, Recursive definitions.

UNIT-02 Regular Languages and Finite Automata

Regular expressions, Regular languages, Memory required to recognize a language, Finite

automata, Distinguishable strings, Union, intersection and complement of regular languages, Automata with output-Moore machine, Mealy machine.

UNIT-03 Nondeterminism and Kleen’s Theorem

Non-deterministic finite automata, non-deterministic finite automata with ^ transitions,

Kleen's theorem- Part-1

2CSE602 - Information Security (URT)

Unit 1 :

Introduction

Information Security understanding,Security goals, Security attacks, Security services, security

mechanisms

Unit 3 :

Classical Ciphers

Symmetric cipher Model, Substitution ciphers, Transposition Ciphers, Cryptographic Algorithms and Protocols

Unit 4 :

Modern symmetric key ciphers

Modern block ciphers, modern stream ciphers, Data Encryption standard

2CSE603 - Network Security (NRR)

Basics of Network Security:

Basics of threats , attacks, secure routing.

Security in Virtual Private Networks

VPN and its types –Tunneling Protocols – Tunnel and Transport Mode –Authentication Header Encapsulation Security Payload (ESP), Implementation of VPNs., IPsec, IPSec architecture and components, PPTP VPN, L2TP VPN, SSL VPN

IDS and IPS,Firewall

IDS for networks, Intrusion detection versus Intrusion Protection, IPS deployment and advantages, Firewall classification, Firewall deployment, modern NIDSs, Detection versus prevention, architecture matters

2CSE606 - Enterprise Application Development for Cloud (SS)

Unit1:Fundamentals of Cloud Computing

Cloud Computing basics, cloud service models , cloud deployment models,PaaS case studies.

Unit 2:Developing & Deploying cloud native applications

Development Life Cycle and EcoSystem, Development Environments on Cloud, Core and

advanced Services, Configurations Managements , Application Monitoring

Unit 3:Developing and  Deploying cloud native applications

Development Life Cycle and EcoSystem, Development Environments on Cloud, Core and

advanced Services, Configurations Managements , Application Monitoring

Unit 4:REST architecture and Watson APIs

REST architecture, Watson REST API and Watson Studio

2CSE604 - Cyber Crimes and Law (URT)

Unit 1 :

Cyber Crime :

Definition and Origin of the Word, Cyber Crime and Information Security, Who are Cyber Criminals, Classification of Cybercrimes, E-mail Spoofing, Spamming, Cyber Defamation, Internet Time Theft, Salami Attack, Salami technique Data Diddling, Forgery, Web Jacking, Newsgroup Spam, Industrial Spying, Hacking, Online Frauds, Pornographic Offenders, Software Piracy, Credit Card Frauds, Identity Theft.

Unit 2 :

Cyber Offenses:

How Criminals plan them, Categories of Cyber Crimes, How Criminal Plans the Attack: Active Attacks, Passive Attacks,Vulnerability Life Cycle.

2CSE608 - Predictive Modeling (NS)

Introduction to Predictive Analytics

Introduction to Predictive Analytics and its use cases. CRISP – DM methodology and the

skills required for successfully implementing Predictive Analytics / Machine Learning Use Cases

Introduction to IBM SPSS Modeler

SPSS Modeler interface, and the terminologies such as streams, nodes, palettes, canvas

Collecting, Understanding and Analysis of Data

Data Understanding stage: Collecting Initial Data and Describing Data, exploring the data

and assessing the quality of data.

Integrate Data

Integrating datasets which are typically stored in different tables / databases.

Unit of Analysis: Derive, Reclassify and SetToFlag

Three nodes to set the unit of analysis: Derive, Reclassify, SetToFlag

2CSE60E14 - Artificial Intelligence (SS)

Unit 1: Basics of Artificial Intelligence

What is intelligence? Foundations of artificial intelligence (AI). History of AI; Problem

Solving- Formulating problems, problem types, states and operators, state space, search

Strategies

Unit 2:Uninformed and Informed Search Strategies

BFS, DFS, Iterative Deepening DFS, DLS, Uniform Cost Search algorithm ,Best first search/ Greedy Best first Search, A* algorithm, heuristic functions and their applications.

Unit 3:Reasoning

Representation, Inference, Propositional Logic, predicate logic (first order logic), logical

reasoning, forward chaining, backward chaining.

2CSE609 - Data Security Systems (DRS)

Unit-1 Data Security Overview and Architecture:
 Overview, Functionality, Components, Guardium Architecture, Architectural Components, Capturing database traffic with S-TAP and E-TAP, Using Aggregation and Central Management, CAS, Business data protection, Data management, Importance of data Security, Characteristics of data security and privacy model, prevention of data breaches, Essential steps every organization must take to secure data. Common Security Techniques: Encryption, Hashing, Data Masking, Tokenization, ACL, MFA, Firewalls, IPS, IDS, IDPS, Backup and Recovery, TLS, SSL, SSH, CIA Triad

Unit-2 Different Data Security basics:

What is sensitive data, Where is your Sensitive data located, Securing sensitive data, User

role entitlement management, Vulnerability Assessment, Data Encryption, Data Redaction, Blocking unauthorized access, data Risk assessment, Data Auditing, Data Real Time Alerting, Data Minimization, Purge Stale data, Data masking, Data Erasure, Data resilience. GDPR, HIPAA. What is a policy, what is compliance? Difference between Compliance and a Policy. Navigating the user interface, Using the command line interface (CLI), Access Management.

2CSE60E27 - Data Mining and Warehousing (NS/ARP)

Unit 1 : (Data Warehousing)

Basic Concepts, Data Cube and OLAP, Design and Usage, ETL, Implementation

Unit 2: Data Mining Basics

Importance, Functionalities, Classification, Architecture, Major Issues, Data mining metrics,Applications, Social impacts of data, Data Mining from a Database Perspective

Unit 3:Data Pre-processing

Descriptive Data Summarization, Data Cleaning, Data Integration and Transformation, Data Reduction, Data Discretization

2CSE607 - Discrete Mathematics (LMB)

Sets, Propositions, and Principles of Counting

Introduction of sets and Proposition with real-life examples, Principles of Counting: the

principle of inclusion-exclusion, the addition and multiplication rules, the pigeonhole

principle, Permutation and combination, Binomial Coefficients.

Graphs

Basic terminology, Graph Representation, multi- and weighted graphs, paths, circuits, subgraph.

Relations and functions

Properties of binary relations, equivalence relation, partitions, partial ordering,

Functions: domain and range of a function, one-to-one functions.