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For detailed syllabus of all the other subjects of Cyber Security 6th Sem, 2021 curriculum do visit Cyber Security 6th Sem subject syllabuses for 2021 regulation. For Cyber Security 6th Sem semesters scheme and subjects, refer to Cyber Security 6th Sem 2021 regulation scheme. The scheme details of Professional Elective-IV for Cyber Security 6th Sem is as follows.

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For exam time table of Cyber Security (Cyber Security), kindly visit Anna University exam timetables.

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For updated syllabus of Cyber Security (Cyber Security) 2021, kindly visit Cyber Security updated syllabus.

Wishing you great luck ahead.

For Cyber Security 6th Sem scheme and its subjects, do visit Cyber Security 6th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to Cyber Security Professional Elective-IV syllabus scheme. The detailed syllabus of 3d printing and design is as follows.

Course Objectives:

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Unit I

INTRODUCTION
Introduction; Design considerations – Material, Size, Resolution, Process; Modelling and viewing -3D; Scanning; Model preparation – Digital; Slicing; Software; File formats

Unit II

PRINCIPLE
Processes – Extrusion, Wire, Granular, Lamination, Photopolymerisation; Materials – Paper, Plastics, Metals, Ceramics, Glass, Wood, Fiber, Sand, Biological Tissues, Hydrogels, Graphene; Material Selection – Processes, applications, limitations;

Unit III

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Unit IV

LASER TECHNOLOGY
Light Sources – Types, Characteristics; Optics – Deflection, Modulation; Material feeding and flow – Liquid, powder; Printing machines – Types, Working Principle, Build Platform, Print bed Movement, Support structures;

Unit V

INDUSTRIAL APPLICATIONS
Product Models, manufacturing – Printed electronics, Biopolymers, Packaging, Healthcare, Food, Medical, Biotechnology, Displays; Future trends;

Practical Exercises

1. Study the interface and basic tools in the CAD software.
2. Study 3D printer(s) including print heads, build envelope, materials used and related support removal system(s).
3. Review of geometry terms of a 3D mesh.
4. Commands for moving from 2D to 3D.
5. Advanced CAD commands to navigate models in 3D space
6. Design any four everyday objects

Refer to web sites like Thingiverse, Shapeways and GitFab to design four everyday objects that utilize the advantages of 3D printing

• Choose four models from a sharing site like Thingiverse, Shapeways or Gitfab.
• Improve upon a file and make it your own. Some ideas include:
• Redesign it with a specific user in mind
• Redesign it for a slightly different purpose
• Improve the look of the product
7. Use the CAM software to prepare files for 3D printing.
8. Manipulate machine movement and material layering.
9. Repair a 3D mesh using

a) Freeware utilities: Autodesk MeshMixer (http://goo.gl/x5nhYc), MeshLab (http://goo.gl/fgztLl) or Netfabb Basic or Cloud Service (http://goo.gl/Q1 P47a)
b) Freeware tool tutorials: Netfabb Basic or Cloud Service (http://goo.gl/Q1P47a), Netfabb and MeshLab (http://goo.gl/WPOVec)
c) Professional tools: Magics or Netfabb

Course Outcomes:

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Text Books:

1. Christopher Barnatt, 3D Printing: The Next Industrial Revolution, CreateSpace Independent Publishing Platform, 2013.
2. Ian M. Hutchings, Graham D. Martin, Inkjet Technology for Digital Fabrication, John Wiley & Sons, 2013.

Reference Books:

1. Chua, C.K., Leong K.F. and Lim C.S., Rapid prototyping: Principles and applications, second edition, World Scientific Publishers, 2010
2. Ibrahim Zeid, Mastering CAD CAM Tata McGraw-Hill Publishing Co., 2007
3. Joan Horvath, Mastering 3D Printing, APress, 2014.

For detailed syllabus of all the other subjects of Cyber Security 6th Sem, visit Cyber Security 6th Sem subject syllabuses for 2021 regulation.

For all Cyber Security results, visit Anna University Cyber Security all semester results direct link.

For Cyber Security 6th Sem scheme and its subjects, do visit Cyber Security 6th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to Cyber Security Professional Elective-IV syllabus scheme. The detailed syllabus of game development is as follows.

Course Objectives:

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Unit I

3D GRAPHICS FOR GAME DESIGN
Genres of Games, Basics of 2D and 3D Graphics for Game Avatar, Game Components – 2D and 3D Transformations – Projections – Color Models – Illumination and Shader Models – Animation -Controller Based Animation.

Unit II

GAME DESIGN PRINCIPLES
Character Development, Storyboard Development for Gaming – Script Design – Script Narration, Game Balancing, Core Mechanics, Principles of Level Design – Proposals – Writing for Preproduction, Production and Post – Production.

Unit III

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Unit IV

OVERVIEW OF GAMING PLATFORMS AND FRAMEWORKS
Pygame Game development – Unity – Unity Scripts -Mobile Gaming, Game Studio, Unity Single player and Multi-Player games.

Unit V

GAME DEVELOPMENT USING PYGAME
Developing 2D and 3D interactive games using Pygame – Avatar Creation – 2D and 3D Graphics Programming – Incorporating music and sound – Asset Creations – Game Physics algorithms Development – Device Handling in Pygame – Overview of Isometric and Tile Based arcade Games – Puzzle Games.

Course Outcomes:

1. Explain the concepts of 2D and 3d Graphics
2. Design game design documents.
3. Implementation of gaming engines.
4. Survey gaming environments and frameworks.
5. Implement a simple game in Pygame.

Experiments

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Reference Books:

1. Sanjay Madhav, “Game Programming Algorithms and Techniques: A Platform Agnostic Approach”, Addison Wesley,2013.
2. Will McGugan, “Beginning Game Development with Python and Pygame: From Novice to Professional”, Apress,2007.
3. Paul Craven, “Python Arcade games”, Apress Publishers,2016.
4. David H. Eberly, “3D Game Engine Design: A Practical Approach to Real-Time Computer Graphics”, Second Edition, CRC Press,2006.
5. Jung Hyun Han, “3D Graphics for Game Programming”, Chapman and Hall/CRC, 2011.

For detailed syllabus of all the other subjects of Cyber Security 6th Sem, visit Cyber Security 6th Sem subject syllabuses for 2021 regulation.

For all Cyber Security results, visit Anna University Cyber Security all semester results direct link.

For Cyber Security 6th Sem scheme and its subjects, do visit Cyber Security 6th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to Cyber Security Professional Elective-IV syllabus scheme. The detailed syllabus of cryptocurrency and blockchain technologies is as follows.

Course Objectives:

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Unit I

INTRODUCTION TO BLOCKCHAIN
Blockchain- Public Ledgers, Blockchain as Public Ledgers – Block in a Blockchain, Transactions-The Chain and the Longest Chain – Permissioned Model of Blockchain, Cryptographic -Hash Function, Properties of a hash function-Hash pointer and Merkle tree

Unit II

BITCOIN AND CRYPTOCURRENCY
A basic crypto currency, Creation of coins, Payments and double spending, FORTH – the precursor for Bitcoin scripting, Bitcoin Scripts , Bitcoin P2P Network, Transaction in Bitcoin Network, Block Mining, Block propagation and block relay

Unit III

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Unit IV

HYPERLEDGER FABRIC & ETHEREUM
Architecture of Hyperledger fabric v1.1- chain code- Ethereum: Ethereum network, EVM, Transaction fee, Mist Browser, Ether, Gas, Solidity.

Unit V

BLOCKCHAIN APPLICATIONS
Smart contracts, Truffle Design and issue- DApps- NFT. Blockchain Applications in Supply Chain Management, Logistics, Smart Cities, Finance and Banking, Insurance,etc- Case Study.

Course Outcomes:

1. Understand emerging abstract models for Blockchain Technology
2. Identify major research challenges and technical gaps existing between theory and practice in the crypto currency domain.
3. It provides conceptual understanding of the function of Blockchain as a method of securing distributed ledgers, how consensus on their contents is achieved, and the new applications that they enable.
4. Apply hyperledger Fabric and Ethereum platform to implement the Block chain Application.

Practical

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Text Books:

1. Bashir and Imran, Mastering Blockchain: Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks, 2017.
2. 2.Andreas Antonopoulos, “Mastering Bitcoin: Unlocking Digital Cryptocurrencies”, O’Reilly, 2014.

Reference Books:

1. Daniel Drescher, “Blockchain Basics”, First Edition, Apress, 2017.
2. Arvind Narayanan, Joseph Bonneau, Edward Felten, Andrew Miller, and Steven Goldfeder. Bitcoin and cryptocurrency technologies: a comprehensive introduction. Princeton University Press, 2016.
3. Melanie Swan, “Blockchain: Blueprint for a New Economy”, O’Reilly, 2015
4. Ritesh Modi, “Solidity Programming Essentials: A Beginner’s Guide to Build Smart Contracts for Ethereum and Blockchain”, Packt Publishing
5. Handbook of Research on Blockchain Technology, published by Elsevier Inc. ISBN: 9780128198162, 2020.

For detailed syllabus of all the other subjects of Cyber Security 6th Sem, visit Cyber Security 6th Sem subject syllabuses for 2021 regulation.

For all Cyber Security results, visit Anna University Cyber Security all semester results direct link.

For Cyber Security 6th Sem scheme and its subjects, do visit Cyber Security 6th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to Cyber Security Professional Elective-IV syllabus scheme. The detailed syllabus of quantum computing is as follows.

Course Objectives:

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Unit I

QUANTUM COMPUTING BASIC CONCEPTS
Complex Numbers – Linear Algebra – Matrices and Operators – Global Perspectives Postulates of
Quantum Mechanics – Quantum Bits – Representations of Qubits – Superpositions

Unit II

QUANTUM GATES AND CIRCUITS
Universal logic gates – Basic single qubit gates – Multiple qubit gates – Circuit development -Quantum error correction

Unit III

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Unit IV

QUANTUM INFORMATION THEORY
Data compression – Shannon’s noiseless channel coding theorem – Schumacher’s quantum noiseless channel coding theorem – Classical information over noisy quantum channels

Unit V

QUANTUM CRYPTOGRAPHY
Classical cryptography basic concepts – Private key cryptography – Shor’s Factoring Algorithm -Quantum Key Distribution – BB84 – Ekart 91

Practical Exercises

1. Single qubit gate simulation – Quantum Composer
2. Multiple qubit gate simulation – Quantum Composer
3. Composing simple quantum circuits with q-gates and measuring the output into classical bits.
4. IBM Qiskit Platform Introduction
5. Implementation of Shor’s Algorithms
6. Implementation of Grover’s Algorithm
7. Implementation of Deutsch’s Algorithm
8. Implementation of Deutsch-Jozsa’s Algorithm
9. Integer factorization using Shor’s Algorithm
10. QKD Simulation
11. Mini Project such as implementing an API for efficient search using Grover’s Algorithms or

Course Outcomes:

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Text Books:

1. Parag K Lala, Mc Graw Hill Education, “Quantum Computing, A Beginners Introduction”, First edition (1 November 2020).
2. Michael A. Nielsen, Issac L. Chuang, “Quantum Computation and Quantum Information”, Tenth Edition, Cambridge University Press, 2010.
3. Chris Bernhardt, The MIT Press; Reprint edition (8 September 2020), “Quantum Computing for Everyone”.

Reference Books:

1. Scott Aaronson, “Quantum Computing Since Democritus”, Cambridge University Press, 2013.
2. N. David Mermin, “Quantum Computer Science: An Introduction”, Cambridge University Press, 2007.

For detailed syllabus of all the other subjects of Cyber Security 6th Sem, visit Cyber Security 6th Sem subject syllabuses for 2021 regulation.

For all Cyber Security results, visit Anna University Cyber Security all semester results direct link.

For Cyber Security 6th Sem scheme and its subjects, do visit Cyber Security 6th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to Cyber Security Professional Elective-IV syllabus scheme. The detailed syllabus of cyber security is as follows.

Course Objectives:

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Unit I

INTRODUCTION
Cyber Security – History of Internet – Impact of Internet – CIA Triad; Reason for Cyber Crime -Need for Cyber Security – History of Cyber Crime; Cybercriminals – Classification of Cybercrimes – A Global Perspective on Cyber Crimes; Cyber Laws – The Indian IT Act – Cybercrime and Punishment.

Unit II

ATTACKS AND COUNTERMEASURES
OSWAP; Malicious Attack Threats and Vulnerabilities: Scope of Cyber-Attacks – Security Breach – Types of Malicious Attacks – Malicious Software – Common Attack Vectors – Social engineering Attack – Wireless Network Attack – Web Application Attack – Attack Tools – Countermeasures.

Unit III

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Unit IV

INTRUSION DETECTION
Host -Based Intrusion Detection – Network -Based Intrusion Detection – Distributed or Hybrid Intrusion Detection – Intrusion Detection Exchange Format – Honeypots – Example System Snort.

Unit V

INTRUSION PREVENTION
Firewalls and Intrusion Prevention Systems: Need for Firewalls – Firewall Characteristics and Access Policy – Types of Firewalls – Firewall Basing – Firewall Location and Configurations -Intrusion Prevention Systems – Example Unified Threat Management Products.

Practical Exercises

1. Install Kali Linux on Virtual box
2. Explore Kali Linux and bash scripting
3. Perform open source intelligence gathering using Netcraft, Whois Lookups, DNS Reconnaissance, Harvester and Maltego
4. Understand the nmap command d and scan a target using nmap
5. Install metasploitable2 on the virtual box and search for unpatched vulnerabilities
6. Use Metasploit to exploit an unpatched vulnerability
7. Install Linus server on the virtual box and install ssh
8. Use Fail2banto scan log files and ban Ips that show the malicious signs
9. Launch brute-force attacks on the Linux server using Hydra.
10. Perform real-time network traffic analysis and data pocket logging using Snort

Course Outcomes:

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Text Books:

1. Anand Shinde, “Introduction to Cyber Security Guide to the World of Cyber Security”, Notion Press, 2021 (Unit 1)
2. Nina Godbole, Sunit Belapure, “Cyber Security: Understanding Cyber Crimes, Computer Forensics and Legal Perspectives”, Wiley Publishers, 2011 (Unit 1)
3. https://owasp.org/www-project-top-ten/

Reference Books:

1. David Kim, Michael G. Solomon, “Fundamentals of Information Systems Security”, Jones & Bartlett Learning Publishers, 2013 (Unit 2)
2. Patrick Engebretson, “The Basics of Hacking and Penetration Testing: Ethical Hacking and Penetration Testing Made easy”, Elsevier, 2011 (Unit 3)
3. Kimberly Graves, “CEH Official Certified Ethical hacker Review Guide”, Wiley Publishers, 2007 (Unit 3)
4. William Stallings, Lawrie Brown, “Computer Security Principles and Practice”, Third Edition, Pearson Education, 2015 (Units 4 and 5)
5. Georgia Weidman, “Penetration Testing: A Hands-On Introduction to Hacking”, No Starch Press, 2014 (Lab)

For detailed syllabus of all the other subjects of Cyber Security 6th Sem, visit Cyber Security 6th Sem subject syllabuses for 2021 regulation.

For all Cyber Security results, visit Anna University Cyber Security all semester results direct link.

For Cyber Security 6th Sem scheme and its subjects, do visit Cyber Security 6th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to Cyber Security Professional Elective-IV syllabus scheme. The detailed syllabus of neural networks and deep learning is as follows.

Course Objectives:

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Unit I

INTRODUCTION
Neural Networks-Application Scope of Neural Networks-Artificial Neural Network: An IntroductionEvolution of Neural Networks-Basic Models of Artificial Neural Network- Important Terminologies of ANNs-Supervised Learning Network.

Unit II

ASSOCIATIVE MEMORY AND UNSUPERVISED LEARNING NETWORKS
Training Algorithms for Pattern Association-Autoassociative Memory Network-Heteroassociative Memory Network-Bidirectional Associative Memory (BAM)-Hopfield Networks-Iterative Autoassociative Memory Networks-Temporal Associative Memory Network-Fixed Weight Competitive Nets-Kohonen Self-Organizing Feature Maps-Learning Vector Quantization-Counter propagation Networks-Adaptive Resonance Theory Network.

Unit III

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Unit IV

DEEP FEEDFORWARD NETWORKS
History of Deep Learning- A Probabilistic Theory of Deep Learning- Gradient Learning – Chain Rule and Backpropagation – Regularization: Dataset Augmentation – Noise Robustness -Early Stopping, Bagging and Dropout – batch normalization- VC Dimension and Neural Nets.

Unit V

RECURRENT NEURAL NETWORKS
Recurrent Neural Networks: Introduction – Recursive Neural Networks – Bidirectional RNNs -Deep Recurrent Networks – Applications: Image Generation, Image Compression, Natural Language Processing. Complete Auto encoder, Regularized Autoencoder, Stochastic Encoders and Decoders, Contractive Encoders.

Lab Experiments

1. Implement simple vector addition in TensorFlow.
2. Implement a regression model in Keras.
3. Implement a perceptron in TensorFlow/Keras Environment.
4. Implement a Feed-Forward Network in TensorFlow/Keras.
5. Implement an Image Classifier using CNN in TensorFlow/Keras.
6. Improve the Deep learning model by fine tuning hyper parameters.
7. Implement a Transfer Learning concept in Image Classification.
8. Using a pre trained model on Keras for Transfer Learning
9. Perform Sentiment Analysis using RNN
10. Implement an LSTM based Autoencoder in TensorFlow/Keras.
11. Image generation using GAN

Additional Experiments:

1. Train a Deep learning model to classify a given image using pre trained model
2. Recommendation system from sales data using Deep Learning
3. Implement Object Detection using CNN
4. Implement any simple Reinforcement Algorithm for an NLP problem

Course Outcomes:

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Text Books:

1. Ian Goodfellow, Yoshua Bengio, Aaron Courville, “Deep Learning”, MIT Press, 2016.
2. Francois Chollet, “Deep Learning with Python”, Second Edition, Manning Publications, 2021.

Reference Books:

1. Aurelien Geron, “Hands-On Machine Learning with Scikit-Learn and TensorFlow”, Oreilly, 2018.
2. Josh Patterson, Adam Gibson, “Deep Learning: A Practitioner’s Approach”, O’Reilly Media, 2017.
3. Charu C. Aggarwal, “Neural Networks and Deep Learning: A Textbook”, Springer International Publishing, 1st Edition, 2018.
4. Learn Keras for Deep Neural Networks, Jojo Moolayil, Apress,2018
5. Deep Learning Projects Using TensorFlow 2, Vinita Silaparasetty, Apress, 2020
6. Deep Learning with Python, FRANQOIS CHOLLET, MANNING SHELTER ISLAND,2017.
7. S Rajasekaran, G A Vijayalakshmi Pai, “Neural Networks, FuzzyLogic and Genetic Algorithm, Synthesis and Applications”, PHI Learning, 2017.
8. Pro Deep Learning with TensorFlow, Santanu Pattanayak, Apress,2017
9. James A Freeman, David M S Kapura, “Neural Networks Algorithms, Applications, and Programming Techniques”, Addison Wesley, 2003.

For detailed syllabus of all the other subjects of Cyber Security 6th Sem, visit Cyber Security 6th Sem subject syllabuses for 2021 regulation.

For all Cyber Security results, visit Anna University Cyber Security all semester results direct link.

For Cyber Security 6th Sem scheme and its subjects, do visit Cyber Security 6th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to Cyber Security Professional Elective-IV syllabus scheme. The detailed syllabus of robotic process automation is as follows.

Course Objectives:

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Unit I

INTRODUCTION TO ROBOTIC PROCESS AUTOMATION
Emergence of Robotic Process Automation (RPA), Evolution of RPA, Differentiating RPA from Automation – Benefits of RPA – Application areas of RPA, Components of RPA, RPA Platforms. Robotic Process Automation Tools – Templates, User Interface, Domains in Activities, Workflow Files.

Unit II

AUTOMATION PROCESS ACTIVITIES
Sequence, Flowchart & Control Flow: Sequencing the Workflow, Activities, Flowchart, Control Flow for Decision making. Data Manipulation: Variables, Collection, Arguments, Data Table, Clipboard management, File operations Controls: Finding the control, waiting for a control, Act on a control, UiExplorer, Handling Events

Unit III

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Unit IV

EXCEPTION HANDLING AND CODE MANAGEMENT
Exception handling, Common exceptions, Logging- Debugging techniques, Collecting crash dumps, Error reporting. Code management and maintenance: Project organization, Nesting workflows, Reusability, Templates, Commenting techniques, State Machine.

Unit V

DEPLOYMENT AND MAINTENANCE
Publishing using publish utility, Orchestration Server, Control bots, Orchestration Server to deploy bots, License management, Publishing and managing updates. RPA Vendors – Open Source RPA, Future of RPA

Practical Exercises

Setup and Configure a RPA tool and understand the user interface of the tool:

1. Create a Sequence to obtain user inputs display them using a message box;
2. Create a Flowchart to navigate to a desired page based on a condition;
3. Create a State Machine workflow to compare user input with a random number.
4. Build a process in the RPA platform using UI Automation Activities.
5. Create an automation process using key System Activities, Variables and Arguments
6. Also implement Automation using System T rigger
7. Automate login to (web)Email account
8. Recording mouse and keyboard actions.
9. Scraping data from website and writing to CSV
10. Implement Error Handling in RPA platform
11. Web Scraping
12. Email Query Processing

Course Outcomes:

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Text Books:

1. Learning Robotic Process Automation: Create Software robots and automate business processes with the leading RPA tool – UiPath by Alok Mani Tripathi, Packt Publishing, 2018.
2. Tom Taulli , “The Robotic Process Automation Handbook: A Guide to Implementing RPA Systems”, Apress publications, 2020.

Reference Books:

1. Frank Casale (Author), Rebecca Dilla (Author), Heidi Jaynes (Author), Lauren Livingston (Author), Introduction to Robotic Process Automation: a Primer, Institute of Robotic Process Automation, Amazon Asia-Pacific Holdings Private Limited, 2018
2. Richard Murdoch, Robotic Process Automation: Guide To Building Software Robots, Automate Repetitive Tasks & Become An RPA Consultant, Amazon Asia-Pacific Holdings Private Limited, 2018
3. A Gerardus Blokdyk, “Robotic Process Automation Rpa A Complete Guide “, 2020

For detailed syllabus of all the other subjects of Cyber Security 6th Sem, visit Cyber Security 6th Sem subject syllabuses for 2021 regulation.

For all Cyber Security results, visit Anna University Cyber Security all semester results direct link.

For Cyber Security 6th Sem scheme and its subjects, do visit Cyber Security 6th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to Cyber Security Professional Elective-IV syllabus scheme. The detailed syllabus of augmented reality or virtual reality is as follows.

Course Objectives:

Download the iStudy App for all syllabus and other updates.

Unit I

INTRODUCTION
Introduction to Virtual Reality and Augmented Reality – Definition – Introduction to Trajectories and Hybrid Space-Three I’s of Virtual Reality – Virtual Reality Vs 3D Computer Graphics – Benefits of Virtual Reality – Components of VR System – Introduction to AR-AR Technologies-Input Devices -3D Position Trackers – Types of Trackers – Navigation and Manipulation Interfaces – Gesture Interfaces – Types of Gesture Input Devices – Output Devices – Graphics Display – Human Visual System – Personal Graphics Displays – Large Volume Displays – Sound Displays – Human Auditory System.

Unit II

VR MODELING
Modeling – Geometric Modeling – Virtual Object Shape – Object Visual Appearance – Kinematics Modeling – Transformation Matrices – Object Position – Transformation Invariants -Object Hierarchies – Viewing the 3D World – Physical Modeling – Collision Detection – Surface Deformation – Force Computation – Force Smoothing and Mapping – Behavior Modeling – Model Management.

Unit III

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Unit IV

APPLICATIONS
Human Factors in VR – Methodology and Terminology – VR Health and Safety Issues – VR and Society-Medical Applications of VR – Education, Arts and Entertainment – Military VR Applications – Emerging Applications of VR – VR Applications in Manufacturing – Applications of VR in Robotics – Information Visualization – VR in Business – VR in Entertainment – VR in Education.

Unit V

AUGMENTED REALITY
Introduction to Augmented Reality-Computer vision for AR-Interaction-Modelling and AnnotationNavigation-Wearable devices

Practical Exercises

1. Study of tools like Unity, Maya, 3DS MAX, AR toolkit, Vuforia and Blender.
2. Use the primitive objects and apply various projection types by handling camera.
3. Download objects from asset store and apply various lighting and shading effects.
4. Model three dimensional objects using various modelling techniques and apply textures over them.
5. Create three dimensional realistic scenes and develop simple virtual reality enabled mobile applications which have limited interactivity.
6. Add audio and text special effects to the developed application.
7. Develop VR enabled applications using motion trackers and sensors incorporating full haptic interactivity.
8. Develop AR enabled applications with interactivity like E learning environment, Virtual walkthroughs and visualization of historic places.
9. Develop AR enabled simple applications like human anatomy visualization, DNA/RNA structure visualization and surgery simulation.
10. Develop simple MR enabled gaming applications.

Course Outcomes:

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Text Books:

1. Charles Palmer, John Williamson, “Virtual Reality Blueprints: Create compelling VR experiences for mobile”, Packt Publisher, 2018
2. Dieter Schmalstieg, Tobias Hollerer, “Augmented Reality: Principles & Practice”, Addison Wesley, 2016
3. John Vince, “Introduction to Virtual Reality”, Springer-Verlag, 2004.
4. William R. Sherman, Alan B. Craig: Understanding Virtual Reality – Interface, Application, Design”, Morgan Kaufmann, 2003

For detailed syllabus of all the other subjects of Cyber Security 6th Sem, visit Cyber Security 6th Sem subject syllabuses for 2021 regulation.

For all Cyber Security results, visit Anna University Cyber Security all semester results direct link.

Download the iStudy App for all syllabus and other updates.

For detailed syllabus of all the other subjects of Cyber Security 6th Sem, 2021 curriculum do visit Cyber Security 6th Sem subject syllabuses for 2021 regulation. For Cyber Security 6th Sem semesters scheme and subjects, refer to Cyber Security 6th Sem 2021 regulation scheme. The scheme details of Professional Elective-III for Cyber Security 6th Sem is as follows.

Don’t forget to download iStudy App for the latest syllabus, results, class timetable and many more features. In case of questions, don’t feel shy to leave a comment or leave feedback in the iStudy app for faster response.

For the results of Cyber Security 6th Sem, kindly visit Cyber Security 6th Sem direct results link.

For exam time table of Cyber Security (Cyber Security), kindly visit Anna University exam timetables.

For Cyber Security (Cyber Security) notices, kindly visit Anna University notices.

Download the iStudy App for all syllabus and other updates.

For updated syllabus of Cyber Security (Cyber Security) 2021, kindly visit Cyber Security updated syllabus.

Wishing you great luck ahead.