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For detailed Syllabus of all other subjects of Cloud Computing & Big Data BD 5th Sem, K scheme do visit Cloud Computing & Big Data 5th Sem Syllabus for K scheme.

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For the academic calendar of Diploma 5th Sem, kindly visit MSBTE Diploma 5th Sem academic calendar.

Wishing you great luck ahead.

For all other MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF, do visit MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF Subjects. The detailed Syllabus for cloud security is as follows.

Rationale

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Course Outcomes:

Students will be able to achieve & demonstrate the following COs on completion of course based learning

1. Identify and Mitigate Cloud-Specific Vulnerabilities
2. Implement Infrastructure Security at different levels.
3. Apply the concept of Data Security and Data Storage.
4. Evaluate IAM Standards and Protocols
5. Mange security in Cloud.

Unit I

Fundamentals of Cloud Security 1.1 Importance of Cloud Security 1.2 Cloud Security Challenges 1.3 Common Cloud Threats: Data Breaches, Account Hijacking, Insider Threats 1.4 Cloud-Specific Vulnerabilities: Misconfigurations, API Exploits 1.5 Cloud Security Services 1.6 Secure Cloud Software Requirement

Suggested Learning Pedagogie
Lecture Using Chalk-Board Case Study Presentations

Unit II

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Unit III

Data Security and Storage 3.1 Data lifecycle in Cloud 3.2 Data Security Principles 3.3 Data Security strategies(Encryption, Tokenization, Masking) 3.4 Data Loss Prevention(DLP): policies and tools 3.5 Data Storage Technologies : Object Storage, Block Storage, File Storage 3.6 Securing File Storage : Securing Amazon Elastic File System, Securing Azure Files, Securing Google Filestore 3.7 Backup and Recovery

Suggested Learning Pedagogie
Lecture Using Chalk-Board Presentations Video Demonstrations

Unit IV

Identity And Access Management 4.1 Trust Boundaries and IAM 4.2 IAM Definitions ,IAM Challenges , IAM Architecture 4.3 Relevant IAM Standards and Protocols for Cloud Services: IAM Standards and Specifications for Organizations, IAM Standards, Protocols, and Specifications for Consumers, Comparison of Enterprise and Consumer Authentication Standards and Protocols 4.4 IAM Practices in the Cloud: Cloud Identity Administration, Federated Identity (SSO) 4.5 Cloud Authorization Management: IAM Support for Compliance Management 4.6 Cloud Service Provider IAM Practice: SaaS,PaaS,IaaS

Suggested Learning Pedagogie
Lecture Using Chalk-Board Presentations Video Demonstrations

Unit V

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List of Experiments:

1. *Create a cloud environment using a public cloud provider (e.g., AWS, Azure, GCP) and set up resources. Run a simulated attack (e.g., using penetration testing tools like Metasploit) and evaluate the impact of compromised data on business operations.
2. Set up a multi-cloud environment and identify security management complexities. Implement a centralized monitoring and logging tool (e.g., SIEM) and assess how well it addresses visibility and control challenges.
3. * Set up a VPC (Virtual Private Cloud) with subnet configurations, security groups, and NACLs (Network Access Control List). Test the impact of different access control configurations on network traffic.
4. *Develop a vulnerable cloud web application and perform penetration testing (e.g., OWASP ZAP) to identify threats like SQL injection and XSS(Cross-site scripting).
5. Deploy an application on IaaS and apply hardening techniques (e.g., firewall, encryption). Simulate attacks and evaluate how the security controls hold up.
6. *Implement encryption (at-rest and in-transit) using cloud-native services like AWS KMS or Azure Key Vault. Monitor how data integrity is maintained through hashing.
7. Set up DLP policies in a cloud environment (e.g., Microsoft Information Protection) and test scenarios for blocking unauthorized data transfer.
8. Implement access controls, encryption, and monitoring for Amazon EFS, Azure Files, and Google Filestore. Perform a security audit on the configurations.
9. *Build a hybrid cloud IAM architecture and assess challenges like latency, user synchronization, and access controls across cloud services
10. Deploy a cloud SSO solution across multiple cloud providers and assess the user experience and security.
11. *Secure Docker containers using best practices (e.g., image scanning, runtime protection). Set up a Kubernetes cluster and implement network policies and secrets management.
12. Deploy a serverless function (e.g., AWS Lambda) and enforce least privilege using IAM roles. Test for common security issues like injection and excessive permissions.

Self Learning

Micro Project

• Prepare a report on data security principles and strategies.
• Develop a backup and recovery plan for a hypothetical organization using cloud storage.
• Write a case study on IAM practices in the cloud.
• A fresh method for Risk Management of E-Commerce Security in Cloud Computing Environment system
• Case study on A fresh method for Risk Management of E-Commerce Security in Cloud Computing Environment system
• Create a detailed guide on access control mechanisms in cloud environments.

Assignment

• Solve assignment covering all COs given by teacher

Laboratory Equipment

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Learning Materials

1. Tim Mather, Subra Kumaraswamy, and Shahed Latif Cloud Security and Privacy O’Reilly Media, ISBN: 9780596802769
2. Ronald L. Krutz, Russell Dean Vines Cloud Security: A Comprehensive Guide to Secure Cloud Computing Wiley Publishing, ISBN: 9780470589878
3. Chris Dotson Practical Cloud Security: A Guide for Secure Design and Deployment O’Reilly Media, Inc, 2019 ISBN 149203746X, 9781492037460
4. Naresh Kumar Sehgal , Pramod Chandra P. Bhatt , John M. Acken Cloud Computing with Security and Scalability Springer Cham Hardcover ISBN978-3-031-07241-3 Softcover ISBN978-3-031-07244-4

Learning Websites

1. https://www.aquasec.com/cloud-native-academy/cspm/cloud-infr astructure-security/ Infrastructure Security
2. https://cloudacademy.com/learning-paths/az-104-exam-preparat ion-microsoft-azure-administrator-1-1332/ Azure Security
3. https://www.ibm.com/in-en/topics/cloud-security Cloud Security
4. https://learn.microsoft.com/en-us/azure/security/fundamental s/services-technologies Cloud Security
5. https://www.uniprint.net/en/cloud-security-management-8-step s/ cloud security management

For detail Syllabus of all other subjects of Cloud Computing & Big Data, K scheme do visit Cloud Computing & Big Data 5th Sem Syllabus for K scheme.

For all Cloud Computing & Big Data results, visit MSBTE Cloud Computing & Big Data all semester results direct links.

For all other MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF, do visit MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF Subjects. The detailed Syllabus for advance computer network is as follows.

Rationale

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Course Outcomes:

Students will be able to achieve & demonstrate the following COs on completion of course based learning

1. Analyze the packet structure of IPv4 and IPv6.
2. Configure Static and Dynamic Routing Protocols Using Simulators.
3. Illustrate functions of Transport layer protocols.
4. Implement Application layer protocols on a network.
5. Work with various Wireless Networking Technologies.

Unit I

Internet Architecture and Network Layer 1.1 Structure of Internet, Intranet, Role of Internet Service Provider (ISP) and Internet Corporation for Assigned Names and Numbers (ICANN) 1.2 IPv4-Header format, IPv6 -Header format 1.3 Subnet, subnet addressing and address masking, supernetting 1.4 Address Mapping- Address Resolution Protocol (ARP) -Mapping logical to physical addresses, working and message format , Reverse Address Resolution Protocol (RARP) – Mapping physical to logical addresses working and message format

Suggested Learning Pedagogie
Presentations Video Demonstrations Lecture Using Chalk-Board

Unit II

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Unit III

Transport Layer Protocols 3.1 Process to Process Delivery-Client/Server paradigm, Multiplexing and Demultiplexing, Connectionless vs. Connection-Oriented Service 3.2 User Datagram Protocol (UDP)-Ports-Well known ports for UDP header format, features and applications 3.3 Transmission Control Protocol(TCP)-TCP services, TCP features, Segment, Three way handshaking, Flow control, Error control, Congestion control-Open loop, Closed loop 3.4 TLS(Transport Layer Security)-working and applications 3.5 Stream Control Transmission Protocol (SCTP)- services and features

Suggested Learning Pedagogie
Presentations Flipped Classroom Lecture Using Chalk-Board

Unit IV

Application Layer Protocols 4.1 Domain Name System (DNS) architecture, Domain types, DNS name space, Domain name resolution & mapping to physical addresses 4.2 Electronic mail i)Message Transfer Agent -Simple Mail Transfer Protocol (SMTP) Components, Working ii)Message Access Agent – Post Office Protocol (POP) and Internet Message Access Protocol (IMAP) 4.3 File Transfer Protocol (FTP), Anonymous FTP 4.4 Remote logging: Telnet, Remote Desktop 4.5 World Wide Web (WWW) and Hyper Text Transfer Protocol (HTTP)- Architecture, Types of web documents, HTTP transaction 4.6 Pretty Good Privacy (PGP)-Security Parameters, Services, A Scenario or Overview of -PGP algorithms, Key rings, PGP certificates

Suggested Learning Pedagogie
Presentations Video Demonstrations Flipped Classroom

Unit V

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List of Experiments:

1. *a)Identify IP allocations and Internet Service Providers for a student network Using WHOIS. b)Set up IP addresses and subnet masks on given network devices
2. Identify and resolve network issues using network diagnostic tools like ping, tracert, show,debug commands.
3. Run a Network Communication Script on “Kali Linux”
4. *Configure basic routing protocols using any relevant software/virtual lab.
5. Capture and Analyze ICMPv4 Packets using appropriate tool
6. *Configure, diagnose and troubleshoot TCP and UDP connection issues using diagnostic tools like netstat, wireshark, iperf
7. *Configure DNS using relevant software.
8. *Configure FTP using relevant software
9. Monitor network traffic using browser developer tools
10. *Design a simple network for SDN using Mininet
11. Using Ping and Latency Tools i)Measure latency and packet loss over time using any suitable tool e.g. PingPlotter ii)Analyze network packets to detect performance bottlenecks using any suitable tool e.g.Wireshark
12. Multimedia traffic analysis i)Capture and analyze HTTP video streaming traffic using any suitable tool e.g.Wireshark ii)Monitor RTP (Real-time Transport Protocol) packets from a multimedia stream using any suitable tool e.g.Wireshark

Self Learning

Assignment

• Explain the basic principles of wireless communication, including the electromagnetic spectrum, frequency bands, and signal propagation.
• Explain the structure of an IPv4 address.Include details on network and host portions, classes (A, B, C), and reserved IP addresses.
• Define the key metrics used in routing (e.g., hop count, bandwidth, delay, cost). Explain the effect of these metrics on route selection.
• Outline the step-by-step process of DNS resolution, from entering a domain name in a browser to receiving the corresponding IP address.

Laboratory Equipment

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Learning Materials

1. Forouzan Behrouz A. Data Communication and Networking 5E McGraw Hill Education (India), New Delhi, 2005, ISBN-13:978-1-25906475-3
2. Comer Douglas E. Internetworking with TCP/IP, Volume I, Fourth Edition. Prentice Hall of India Private Limited, New Delhi- 110001 ISBN-81-2032065-4
3. Forouzan Behrouz A. TCP/IP Protocol Suite Tata McGraw-Hill Edition, New Delhi ISBN-0-07-043474-3
4. Tanenbaum Andrew S. ,Nick Feamster,David J. Wetherall Computer Networks, Sixth Edition Pearson ISBN-13: 9780136764052
5. B.M. Harwani & DT Editorial Services Advanced Computer Network Dreamtech ISBN 978-93-5004-013-3
6. Computer Networks Principles, Technologies And Protocols For Network Design Natalia Olifer, Victor Olifer Wiley ISBN
7. Thomas D. Nadeau, Ken Gray SDN: Software Defined Networks O’Reilly Media, Inc.ISBN: 9781449342302
8. Kurose Computer Networking, 8th Edition Pearson Education,ISBN-10 9356061319

Learning Websites

1. https://www.coursera.org/courses? query=computer%20networks Offers courses from top universities like Stanford and Princeton on topics like Internet architecture, IP addressing, and advanced networking technologies.
2. https://www.netacad.com/ Offers comprehensive courses on networking, including certifications like CCNA, which cover advanced topics and practical skills.
3. https://www.javatpoint.com/computer-network-tutorial Focuses on networking tutorials and courses, including detailed lessons on routing protocols, TCP/IP, and advanced networking concepts.
4. https://onlinecourses.nptel.ac.in/noc23_cs35/preview NPTEL online course for Advance computer Network
5. https://www.geeksforgeeks.org/computer-network-tutorials/ Advance Computer Network concepts tutorial
6. https://www.javatpoint.com/software-defined-networking-sdn-b enefits-and-challenges-of-network-virtualization Software defined network
7. https://www.tutorialspoint.com/5g-future-of-wireless-network s 5G

For detail Syllabus of all other subjects of Cloud Computing & Big Data, K scheme do visit Cloud Computing & Big Data 5th Sem Syllabus for K scheme.

For all Cloud Computing & Big Data results, visit MSBTE Cloud Computing & Big Data all semester results direct links.

For all other MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF, do visit MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF Subjects. The detailed Syllabus for internship is as follows.

Rationale

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Course Outcomes:

Students will be able to achieve & demonstrate the following COs on completion of course based learning

1. Observe time/resource management and industrial safety aspects.
2. Acquire professional experience of industry environment .
3. Establish effective communication in working environment.
4. Prepare report of assigned activities and accomplishments.

General Guidlines

1. Duration of Training – 12 weeks students engagement time
2. Period of Time slot – Between 4th and 5th semester (12 weeks) i.e. commencement of internships will be immediately following the 4th semester exams.
3. Industry area – Engineering Programme Allied industries of large, medium or small-scale, Organization/Govt./ Semi Govt Sectors.

Role(S) of Department

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Suggestive Format

Following format may be used for training report. Actual format may differ slightly depending upon the nature of Industry/ Organization.

• Title Page
• Certificate
• Abstract
• Acknowledgement
• Content Page

Chapter 1
Organization structure of Industry and general layout.

Chapter 2
Introduction to Industry / Organization (history, type of products and services, turn over and number of employees etc.)

Chapter 3
Types of Major Equipments/raw materials/ instruments/machines/ hardware/software used in industry with their specifications, approximate cost, specific use and routine maintenance done

Chapter 4
Processes/ Manufacturing Manufacturing techniques and methodologies and material handling procedures

Chapter 5
Testing of Hardware/Software/ Raw materials/ Major material handling product (lifts, cranes, slings, pulleys, jacks, conveyor belts etc.) and material handling procedures.

Chapter 6
Safety procedures followed and safety gears used by industry.

Chapter 7
Particulars of Practical Experiences in Industry/Organization if any in Production/Assembly/Testing/Maintenance

Chapter 8
Detailed report of the tasks undertaken (during the training).

Chapter 9
Special/challenging experiences encountered during training if any (may include students liking & disliking of workplaces).

Chapter 10
Conclusion

Chapter 11

For detail Syllabus of all other subjects of Cloud Computing & Big Data, K scheme do visit Cloud Computing & Big Data 5th Sem Syllabus for K scheme.

For all Cloud Computing & Big Data results, visit MSBTE Cloud Computing & Big Data all semester results direct links.

For all other MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF, do visit MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF Subjects. The detailed Syllabus for seminar and project initiation course is as follows.

Rationale

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Course Outcomes:

Students will be able to achieve & demonstrate the following COs on completion of course based learning

1. Identify topics of seminar presenting to the large gathering at the institute/conference.
2. Collect relevant and updated research-based data and information to prepare a paper of seminar presentation.
3. Apply presentation skills.
4. Create conducive environment for learning and discussion through seminar presentation.
5. Identify a problem statement and establish the action plan for the successful completion of the project.

General Guidelines

Seminar and Project Initiation

• The seminar must be related to emerging trends in engineering / technology programme or may be inter/ multi-disciplinary, base industry expected outcomes of the programme.
• The individual students have different aptitudes and strengths. Therefore, SEMINAR should match the strengths of students. For purpose, students shall be asked to select the TITLE (Theme)of SEMINAR they would like to prepare and present.
• Seminar titles are to be finalized in consultation with the faculty mentor.
• Seminar must involve logic development of applications of various technologies/ processes applicable in industry.
• Seminar must be assigned to the single student. However, support of other students may be sorted while presenting the seminar
• Students are required to prepare using relevant software tools, write ups for presentation
• Students shall submit One Hard copy and one Soft copy each of the presentation and may be encouraged to keep a recorded cop presentation made during the seminar.
• Batch of 3-4 students shall be formed for project initiation.
• Projects give a platform for the students to showcase an attitude of inquiry to identify the problem statement related to the progr Students shall Identify the information suggesting the cause of the problem and possible solutions
• Students shall study and assess the feasibility of different solutions and the financial implications.
• Students should collect relevant data from different sources (books/internet/market/suppliers/experts through surveys/interviews
• Students shall prepare required drawings/ designs and detailed plan for the successful execution of the work.
• Students may visit the organisation pertaining to the problem statement as part of initial study.

Seminar Preparation and Presentation :

Once the title/topic of a seminar has been finalized and allotted to the student, the teacher’s role is important as guide, mentor an motivator, to promote learning and sustain the interest of the students.
Following should be kept in mind while preparing and presenting the seminar:

• Seminar Orientation cum -briefing: the seminar topics/themes should be innovative, novel and relevant to the curriculum of t programme, and also aligned to the expectations of industry.
• Seminar Literature survey: Information search and data collection: the information and data should be authentic, realistic and r to the curriculum of the programme.
• Seminar Preparation, and presentation: The seminar shall be present with suitable software tools and supporting handout/note presentation of seminar should not be more than 20 minutes including Q-A session.

The following guidelines may be followed for Project Initiation

• Establishing project scope: Determine the boundaries of the project.
• Defining project objectives: Set clear and measurable objectives that align with the project’s purpose.
• Stakeholder identification and analysis: Perform an exercise in identifying all stakeholders involved in the project and analyzi needs and expectations.
• Team Formation: Carefully build a team with the necessary skills and expertise to execute the project successfully.
• Documentation. Create a project planner showcasing the action plan, define the project’s scope, outline the project definition, a design of the project. The document has to be made available to all stakeholders

For detail Syllabus of all other subjects of Cloud Computing & Big Data, K scheme do visit Cloud Computing & Big Data 5th Sem Syllabus for K scheme.

For all Cloud Computing & Big Data results, visit MSBTE Cloud Computing & Big Data all semester results direct links.

For all other MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF, do visit MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF Subjects. The detailed Syllabus for entrepreneurship development and startups is as follows.

Rationale

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Course Outcomes:

Students will be able to achieve & demonstrate the following COs on completion of course based learning

1. Identify one’s entrepreneurial traits.
2. Use information collected from stakeholder for establishing/setting up/founding starts up
3. Use support systems available for Starts up
4. Prepare project plans to manage the enterprise effectively

Unit I

Introduction to Entrepreneurship Development 1.1 Entrepreneurship as a career – charms, advantages, disadvantages , scope- local and global 1.2 Traits of successful entrepreneur: consistency, creativity, initiative, independent decision making, assertiveness, persuasion, persistence, information seeking, handling business communication, commitment to work contract, calculated risk taking, learning from failure 1.3 Types of enterprises and their features : manufacturing, service and trading

Suggested Learning Pedagogie
Presentations Lecture Using Chalk-Board

Unit II

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Unit III

Support System for Startup 3.1 Categorization of MSME, ancillary industries 3.2 Support systems- government agencies: MCED, NI- MSME, PMEGP,DI, KVIC 3.3 Support agencies for entrepreneurship guidance, training, registration, technical consultation, technology transfer and quality control, marketing and finance. 3.4 Breakeven point, return on investment (ROI) and return on sales (ROS).

Suggested Learning Pedagogie
Presentations Lecture Using Chalk-Board

Unit IV

Managing Enterprise 4.1 Techno commercial Feasibility study, feasibility report preparation and evaluation criteria 4.2 Ownership, Capital, Budgeting, Matching entrepreneur with the project 4.3 Unique Selling Proposition [U.S.P.]: Identification, developing a marketing plan. 4.4 Preparing strategies of handling business: policy making, negotiation and bargaining techniques 4.5 Risk Management: Planning for calculated risk taking, initiation with low cost projects, integrated futuristic planning, definition of startup cycle, ecosystem , angel investors, venture capitalist 4.6 Incubation centers and accelerators : Role and procedure

Suggested Learning Pedagogie
Presentations Lecture Using Chalk-Board

List of Experiments:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Self Learning

Micro Project

• Prepare a ‘ Women entrepreneurship business plan ‘ Choose relevant government scheme for the product/service
• Prepare a ‘Pitch- desk’ for your start up
• Prepare a business plan for a. Market research b. Advertisement agency c. Placement Agency d. Repair and Maintenance agency e. Tour and Travel agency
• Prepare a ‘Social entrepreneurship business plan, plan for CSR funding.
• Prepare a business plan for identified projects by using entrepreneurial eco system for the same (Schemes, incentives, incubators etc.)

Laboratory Equipment

1. Computers with internet and printer facility All

Learning Materials

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Learning Websites

1. http://www.mced.nic.in/allproduct.aspx MCED Product and Plan Details
2. http://niesbud.nic.in/Publication.html The National Institute for Entrepreneurship and Small Business Development Publications
3. http://niesbud.nic.in/docs/1standardized.pdf Courses : The National Institute for Entrepreneurship and Small Business Development
4. https://www.nabard.org/content1.aspx?id=23andcatid=23andmid= 530 Government Schemes
5. https://www.nabard.org/Tenders.aspx?cid=501andid=24 NABARD – Information Centre
6. http://www.startupindia.gov.in/pdffile.php?title=Startup%20I ndia%20Action%20Planandtype=Actionandq=Action%20Plan.pdfandc ontent_type=Actionandsubmenupoint=action Start Up India
7. http://www.ediindia.org/institute.html About – Entrepreneurship Development Institute of India (EDII)
8. http://www.nstedb.com/training/training.htm NSTEDB – Training

For detail Syllabus of all other subjects of Cloud Computing & Big Data, K scheme do visit Cloud Computing & Big Data 5th Sem Syllabus for K scheme.

For all Cloud Computing & Big Data results, visit MSBTE Cloud Computing & Big Data all semester results direct links.

For all other MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF, do visit MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF Subjects. The detailed Syllabus for big data technology is as follows.

Rationale

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Course Outcomes:

Students will be able to achieve & demonstrate the following COs on completion of course based learning

1. Illustrate characteristics and technologies of Big Data.
2. Apply relevant Big Data Storage techniques for a given application.
3. Use Big Data Technologies Hive and Pig to handle different nature of data.
4. Implement Big Data Processing Technique for a given application.
5. Apply Data Visualization Techniques for a given application.

Unit I

Introduction to Big Data Technologies 1.1 Introduction :Definition of Big Data, Characteristics of big data, types of big data 1.2 Applications of big data 1.3 Difference between big data and traditional data in terms of volume, velocity, variety, veracity, value, scalability 1.4 Big data technology-definition, types : operational and analytical 1.5 Classification of big data technologies based on its purpose: Data Storage, Data Mining, Data Analytics, Data Visualization

Suggested Learning Pedagogie
Lecture Using Chalk-Board Videos Collaborative Learning

Unit II

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Unit III

Handling data and Query with Hive and pig 3.1 Apache Hive: Hive architecture, warehouse directory and megastore, Hive data types, loading data into tables, Hive file formats, Hive built in functions, Querying data, Sorting, Aggregation 3.2 Apache Pig: Architecture, execution modes, built-in functions, Pig operations: group and join, combine and split, filter

Suggested Learning Pedagogie
Lecture Using Chalk-Board Video Demonstrations Collaborative learning Hands-on

Unit IV

Big Data Processing Tools 4.1 Apache Spark: Need for Apache Spark, Apache Spark architecture, Spark components, Resilient Distributed Datasets(RDD) transformations 4.2 Spark SQL, Spark Session, Data Frame operations 4.3 Apache Kafka: Need, benefits, Kafka Messaging System: Point to point and Public subscribe messaging system, Kafka cluster architecture

Suggested Learning Pedagogie
Lecture Using Chalk-Board Video Demonstrations Collaborative learning Hands-on

Unit V

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

List of Experiments:

1. *Write a python program for analyzing the characteristics of any large dataset case study
2. *Install Single-node Hadoop cluster
3. *Write HDFS commands for file operations
4. *Write MapReduce program for word count operation
5. Write MapReduce program for matrix addition
6. Write MapReduce program to find max temperature
7. *Write MapReduce program to sort array elements
8. Write basic queries for CRUD operations in MongoDB
9. *Hive installation and Queries
10. Create Hive table with different storage format specification
11. Apply Hive QL clauses
12. Apache Pig: *a)Install Apache Pig *b)Use Pig operators
13. *Develop spark program to perform basic operations on data frames using python
14. Write a program to read and write data stored in Apache hive through Spark SQL
15. Develop a program to perform word count operation
16. *Write Program to perform RDD transformations
17. *Develop program to produce and consume message and build simple pipeline
18. *Write program to visualize data using verious plots using Matplotlib
19. *Write program to visualize data using verious plots using Seaborn
20. Develop program to create dashboard using plotly tool

Self Learning

Micro Project

• Analyze an agricultural dataset to gain insights into crop production, seasonal trends, and regional performance with Apache Hive.
• Analyze Amazon customer reviews to gain insights into product ratings, review trends, and customer sentiment with Apache Spark.
• Generate a report showing total sales and average sales per region using Hive for SQL-like querying.
• Create meaningful visualizations of likes, share and comments count of Facebook dataset using Tableau or PowerBI tools.

Other

• Complete any one course related to big data technologies on Infosys Springboard or any other MOOCs Platform.

Assignment

• Select any one big data technology:
1. Perform a hands-on exercise.
2. Write down the steps and challenges faced during the exercise.
3. NoSQL database:
4. Compare and contrast different NoSQL databases.
5. Write down the scenarios where NoSQL databases are more suitable than traditional relational databases.

Laboratory Equipment

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Learning Materials

1. M. Vijayalakshmi, Radha Shankarmani Big Data Analytics Publication details: Wiley c2017, 2022 N. Delhi Edition: 2nd ed. c2017,ISBN: 9788126565757
2. Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia Learning Spark: Lightning-Fast Data Analytics O’Reilly Media Publication Date: January 28, 2015 ISBN-10: 1449358624 ISBN-13: 978-1449358624
3. Pramod J. Sadalage, Martin Fowler NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence Addison-Wesley August 10, 2012 ISBN: 978-0321826626
4. Tom White Hadoop: The Definitive Guide 4th Edition, Released April 2015, Publisher(s): O’Reilly Media, Inc. ISBN: 9781491901632.
5. Kieran Healy Data Visualization: A Practical Introduction Princeton University Press March 31, 2018 ISBN: 978-0691181622

Learning Websites

1. https://intellipaat.com/blog/big-data-tutorial-for-beginners Basic Concepts of big data & its Technologies
2. https://www.edureka.co/blog/big-data-tutorial Big Data Technologies
3. https://www.javatpoint.com/hadoop-tutorial Hadoop Ecosystem
4. https://www.tutorialspoint.com/apache_spark/index.htm Apache Spark
5. https://www.bigdataelearning.com/blog/apache-hive-beginners-guide Apache Hive
6. https://issuu.com/melissamatiasf/docs/ebook-data-visualizati on-en Data Visualization
7. https://www.w3schools.com/python/matplotlib_intro.asp Data Visualization: Matplotlib
8. https://www.w3schools.com/python/numpy/numpy_random_seaborn. asp Data Visualization :Seaborn

For detail Syllabus of all other subjects of Cloud Computing & Big Data, K scheme do visit Cloud Computing & Big Data 5th Sem Syllabus for K scheme.

For all Cloud Computing & Big Data results, visit MSBTE Cloud Computing & Big Data all semester results direct links.

For all other MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF, do visit MSBTE Cloud Computing & Big Data 5th Sem K Scheme Syllabus PDF Subjects. The detailed Syllabus for operating system is as follows.

Rationale

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Course Outcomes:

Students will be able to achieve & demonstrate the following COs on completion of course based learning

1. Explain the services and components of an Operating System.
2. Describe the different aspects of Process Management in an Operating System.
3. Implement various CPU Scheduling algorithms and evaluate their effectiveness.
4. Analyze the Memory Management techniques used by an Operating System.
5. Apply techniques for effective File Management in an Operating System.

Unit I

Operating System services and components 1.1 Operating System: concept, functions 1.2 Different types of Operating System: Batch Operating System, Multi-programmed, Time Shared Operating System, Multiprocessor System, Distributed System, Real Time System, Mobile OS (Android OS) 1.3 Command line based Operating System: DOS, UNIX GUI based Operating System: WINDOWS, LINUX, MaC OS 1.4 Different Services of Operating System, System Calls: Concept, types of system calls 1.5 Operating System Components: Process Management, Main Memory Management, File Management, IO Management, Secondary Storage Management

Suggested Learning Pedagogie
Presentations Lecture Using Chalk-Board

Unit II

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Unit III

CPU Scheduling 3.1 Scheduling: Basic concept, CPU and I/O burst cycle 3.2 Preemptive and Non-preemptive scheduling, scheduling criteria 3.3 Types of Scheduling algorithms: First Come First Serve(FCFS), Shortest Job First (SJF), Shortest Remaining Time Next (SRTN), Round Robin (RR), Priority Scheduling, Multilevel Queue Scheduling 3.4 Deadlock: System Models, Necessary conditions Leading to Deadlock, Deadlock Handling: Deadlock prevention, Deadlock avoidance- Banker’s Algorithm

Suggested Learning Pedagogie
Presentations Lecture Using Chalk-Board

Unit IV

Memory Management 4.1 Basic Memory Management: Partitioning – Fixed and Variable, Free Space Management Techniques: Bit map, Linked List 4.2 Swapping, Compaction, Fragmentation, Partitioning Algorithms: First fit, Best fit, Worst fit 4.3 Non-contiguous Memory Management Techniques: Paging, Segmentation 4.4 Virtual Memory: Basics, Demand paging, Page Fault 4.5 Page Replacement Algorithm: First In First Out (FIFO), Least Recently Used (LRU), Optimal

Suggested Learning Pedagogie
Lecture Using Chalk-Board Presentations Video Demonstrations

Unit V

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

List of Experiments:

1. * System call commands in Linux such as fork(), exec(), getpid, pipe, exit, open, close, stat, uname.
2. * Process related commands in Linux – top, ps, kill, wait, sleep, nice, renice,bg,fg.
3. * a. Commands for Sending Messages to Logged-in Users -who, cat, wall, write, mesg. * b. List Processes Attached to a Shared Memory Segment: ipcs.
4. * Write a C/Python program to calculate average waiting time and Turnaround Time of n processes with First Come First Serve (FCFS) CPU scheduling algorithm.
5. Write a C/Python program to calculate average waiting time and Turnaround Time of n processes with Shortest Job First (SJF) CPU scheduling algorit hm.
6. Write a C/Python program to calculate average waiting time and Turnaround Time of n processes with Priority CPU scheduling algorithm.
7. Write a C/Python program to calculate average waiting time and Turnaround Time of n processes with Round Robin (RR) CPU scheduling algorithm.
8. Write a C/Python program to implement Banker’s Algorithm.
9. Basic memory management commands – df, free, vmstat, /proc/meminfo, htop.
10. * Write a C/Python program on First In First Out (FIFO) Page Replacement algorithm.
11. Write a C/Python program on Least Recently Used (LRU) Page Replacement algorithm.
12. * Write a C/Python program on sequential file allocation method.

Self Learning

Assignment

• Find out the total number of page faults using – i) First In First Out ii) Least recently used page replacement ii) Optimal page replacement Page replacement algorithms of memory management, if the page are coming in the order 7

0 1 2 0 3 0 4 2 3 0 3 2 1 2 0 1 7 0 1

• Compare between CLI based Operating System and GUI based Operating System.
• Differentiate between process and thread (any two points). Also discuss the benefits of multithreaded programming.
• Enlist different file allocation methods? Explain contiguous and indexed allocation method in detail.

Micro Project

• Create a report depicting features of different types of operating systems- Batch operating system, Multi programmed, Time shared, Multiprocessor systems, Real time systems, Mobile OS with examples.
• Implement and Compare Memory Allocation Strategies – First Fit, Best Fit, Worst Fit
• Create a report on different operating system tools used to perform various functions.

Self Learning

• Complete any one course related to the operating system on MOOCS such as NPTEL, Coursera, Infosys Springboard etc.

Laboratory Equipment

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Learning Materials

1. Dhananjay M. Dhamdhere Operating System: A ConceptBased Approach McGraw Hill Education 3rd edition, ISBN: 978-1259005589
2. William Stallings Operating Systems : Internals and Design Principles Pearson Education 9th Edition, ISBN: 978-9352866717
3. Richard Petersen Linux The Complete Reference McGraw Hill, 6th edition, ISBN: 9780071492478
4. Richard Blum Linux command line and shell scripting Wiley India, ISBN: 978-1118983843
5. Abraham Silberschatz and James Peterson Operating System Concepts Wiley India, ISBN: 9781119454083

Learning Websites

1. https://archive.nptel.ac.in/courses/106/105/106105214/ Introduction to Operating System
2. https://www.geeksforgeeks.org/processes-in-linuxunix/ Process Related commands
3. https://ubuntu.com/download/desktop Installation of Ubuntu
4. https://developers.redhat.com/products/rhel/download RedHat Linux download
5. https://www.digitalocean.com/community/tutorials/linux-comma nds Basic Linux commands
6. https://www.geeksforgeeks.org/what-is-an-operating-system/ Operating System

For detail Syllabus of all other subjects of Cloud Computing & Big Data, K scheme do visit Cloud Computing & Big Data 5th Sem Syllabus for K scheme.

For all Cloud Computing & Big Data results, visit MSBTE Cloud Computing & Big Data all semester results direct links.

Download the iStudy App for all syllabus and other updates.

For detailed Syllabus of all other subjects of Cloud Computing & Big Data BD 4th Sem, K scheme do visit Cloud Computing & Big Data 4th Sem Syllabus for K scheme.

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 Diploma 4th Sem, kindly visit MSBTE Diploma 4th Sem direct result link.

For the academic calendar of Diploma 4th Sem, kindly visit MSBTE Diploma 4th Sem academic calendar.

Wishing you great luck ahead.

For all other MSBTE Cloud Computing & Big Data 4th Sem K Scheme Syllabus PDF, do visit MSBTE Cloud Computing & Big Data 4th Sem K Scheme Syllabus PDF Subjects. The detailed Syllabus for ui or ux design is as follows.

Rationale

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Course Outcomes:

Students will be able to achieve & demonstrate the following COs on completion of course based learning

1. Explain design thinking concept.
2. Interpret user requirements.
3. Select appropriate visual design for given problem.
4. Create interactions using design tool.
5. Create innovative design prototype for given applications.

Unit I

Design Thinking Fundamentals 1.1 Introduction to Design thinking – Concept, Purpose, 5 stages of design thinking – Empathize, Define, Ideate, Prototype, Test 1.2 Introduction to User Interface / User Experience (UI/UX) – Definition of Design with respect to digital media, User Interface, User experience, Difference between UI and UX. History of UX. Need of UI and UX

Suggested Learning Pedagogie
Chalk-Board Demonstratio Presentations Flipped Classroom

Unit II

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Unit III

User Interface Design 3.1 Storyboarding, User journey mapping 3.2 Gestalt principles of design – Aesthetics in UI design – Using Light, Color and Contrast Effectively in UI Design 3.3 Introduction to any freeware design tool such as Figma 3.4 Visual Communication Design – effective visual communication for graphical user interface

Suggested Learning Pedagogie
Chalk-Board Demonstratio Hands-on Presentations

Unit IV

User Experience Design Tool 4.1 Introduction to User Experience design 4.2 UX design open source tool such as – Figma features – Navigations, interactions, Buttons Creating library 4.3 Gamification, micro-animation 4.4 Creating visual identity of the project – design system, design theme

Suggested Learning Pedagogie
Chalk-Board Demonstratio Hands-on Presentations

Unit V

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

List of Experiments:

1. *Use Design tool for user requirement collection and analysis Visit minimum 5 websites/ Apps of the particular category. Identify problems in overall navigation, look and feel of websites, relevance of the information. Record all findings using Design tool 4 C C
2. Use Design tool for user requirement collection and analysis of various interfaces such as kiosks Visit minimum 5 interfaces. Identify problems in overall navigation, look and feel of the interface, relevance of the information. Record all findings using Design tool 4 C C
3. *Recreate a given user interface using any open source design tool (For example, to recreate the first screen of personal mobile phone etc.) 4 C C C
4. * Create grid system for the given screen using any design tool (For example dashboard of particular application/ welcome screen of any blog portal etc.) 4 C C C
5. *Design given user interface using various components such as auto-layouts in the design tool (For example, design sample login page/ design registration form etc.) 4 C C C C
6. *Use horizontal scrolling to create pages for given website/ App (For example, page(s) in social media Apps/ tourism related webpage(s) ) 4 C
7. *Use vertical scrolling for a given website/ App (For example, Retail website/App or food ordering Apps etc.) 4 C
8. Recreate given website for UI design, color, images, interactions, menu 4 C C C
9. *Create navigations for the given website/ App (For example, create navigation in App using bottom menu etc.) 4 C
10. Design a quiz for given user interface (For example, quiz for LMS / government web site / retail web sites etc.) 4 C
11. Create any two gamification effects for given user interface in given scenario (For example, racing effect etc.) 4 C C
12. Create gamification for task completion in website such as LMS/ retail website/ banking website (For example, popping up effect/ releasing balloons in the air etc. once a task is completed) 4 C C C
13. Create any five micro animations for the given user interface in given scenario (For example, progress bar effect/ waitin for reply or responce effect/ status bar/ welcome page or opening page animatio etc.) 4 C C
14. *Create prototyping with different interactions – tab, click, hover, delay. for the given user interface 4 C C
15. Convert created prototype in HTML page(s) 4 C

Self Learning

Micro Project

• The micro project has to be Industry Application Based, Internet-based, Workshop-based, Laboratory-based Field-based as suggested by Teacher:
1. Prepare a prototype for online blog:
1. Prepare a competitive analysis of similar website
2. Define user persona and prepare user journey mapping using any design tool
3. Construct prototype using – navigation, interaction, frames in design tool
4. Validate the prototype by checking navigation and conditions given
5. Convert the design prototype into HTML code
2. Reconstruct given user interface such as kiosk system:
1. Observe the given user interface
2. Identify improvement in the user interface in terms of – look and feel, navigation, interactions
3. Prepare affinity mapping using design tool
4. Reconstruct the given interface using various components in design tool
3. Prepare a prototype for food ordering App:
1. Prepare a competitive analysis of similar Apps
2. Define user persona and prepare user journey mapping using any design tool
3. Construct prototype using – navigation, interaction, frames in design tool
4. Validate the prototype by checking navigation and conditions given
4. Rebuild smart TV user interface layout
1. Visit existing interfaces of smart television
2. Record findings related to color scheme, theme, look and feel, location on display of existing interfaces
3. Record minimum 10 different user reviews regarding the smart television user interface (chose user from dif backgrounds)
4. Record improvements in look, navigation, and interactions
5. Redefine user persona for existing interface
6. Rebuild the interface prototype using design tool

Assignment

1. Prepare a case-study report –
1. Identify any dedicated interface such as Automated deposit cum Withdrawal machine.
2. Perform a user requirement analysis through any research method (e.g. Interview/ Questionnaire etc.).
3. Define user persona for the same.
4. Prepare a low fidelity prototype for it.
2. Prepare user storyboard and user journey mapping for given user interface –
1. Identify user requirements .
2. Perform a user requirement through research methods (e.g. Interview/ Questionnaire etc.).
3. Define user persona for the same.
4. Prepare a user journey mapping for the same.
5. Prepare a storyboard for the user interface.
3. Prepare low, medium, and high fidelity prototype for given user interface –
1. Identify user interface.
2. Collect user requirements by any two methods (e.g. Personal observation/ expert review etc.)
3. Define user persona for the same.
4. Prepare a low fidelity prototype on paper for the same.

Other

• Following are some suggestive self-learning topics or any relevant topics suggested by the Teacher:
1. Prepare a feature-based detailed report of similar types of website/portal(such as Flight/ bus Reservation web MIS / e-commerce web sites / educational institutions websites etc).
2. Prepare affinity mapping in any design tool (e.g. FigJam) for user requirements in given domain of the proje
3. Define user persona and perform requirements mapping using design tools in any of the following category booking kiosk/ Online examination system / Quiz App.
4. Prepare user journey mapping for given scenario in the given project
5. Prepare low, medium, and high-fidelity prototypes for a given scenario using any design tool.
6. Prepare a library/repository of design components using any design tool like Figma.
7. Reconstruct any ticket booking website to address improvements in look and feel, ease of use within it.

Laboratory Equipment

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Learning Materials

1. Jesse James Garrett The Elements of User Experience: User-Centered Design for the Web and Beyond New Riders Publishing, 201 West 10 Street, Indianapolis, IN 46290 800-5 5914 ISBN:978-0-321-68368-7
2. Falk Uebernickel, Li Jiang, Walter Brenner, Britta Pukall, Therese Naef Design Thinking: The Handbook World Scientific Publishing Co Pte No.16, South West Boag Road T. Na Chennai 600017, INDIA ISBN-10: 9811203504 ISBN-13: 978-9811203503
3. Fabio Staiano Designing and Prototyping Interfaces with Figma Packt Publishing Ltd, Grosvenor Ho 11 St Paul’s Square, Birmingham, B 1RB ISBN-10: 180056418X ISBN-13: 978-1800564183
4. Kilian Langenfeld Design Thinking for Beginners Personal Growth Hackers ISBN-10: 3967160629 ISBN-13: 978-3967160628

Learning Websites

1. https://aim.gov.in/pdf/Design_Thinking.pdf Design thinking phases and learning resources
2. https://www.ideou.com/pages/design-thinking-resources Design thinking resources
3. https://www.figma.com/resource-library/what-is-design-thinki ng/ Design thinking and its stages
4. https://www.figma.com/resource-library/what-is-ui-design/ Key elements of UI design
5. https://youtu.be/-wzNTPXVIyM?si=zET5z3GpIPl-cAry User Experience and research methods
6. https://youtu.be/XT152i5asdQ?si=jPdLFFExnaZO8NRs User Experience and research methods
7. https://usabilitypost.com/2008/08/14/using-light-color-and-c ontrast-effectively-in-ui-design/ Using Light, Color and Contra Effectively in UI Design
8. http://web.cs.wpi.edu/~matt/courses/cs563/talks/smartin/int_ design.html Effective Visual Communicati for Graphical User Interfaces
9. https://youtu.be/Y9ixRTTx5iU?si=vSCsbCr6gXD5eG-n Visual Communication Desig
10. https://youtu.be/K-DRTBMnzm8?si=DaUPM4iLW2CU3oSU Low fidelity design
11. https://youtu.be/KCYLE78w074?si=xZsvSnO9qx7iVE2S High fidelity design
12. www.figma.com Figma – Design Tools – Figma FigJam (Freeware)
13. https://www.figma.com/resource-library/design-basics/ Design basics using Figma (Freeware)
14. https://wireframe.cc/ Single-page, public wireframe without user account available free version.
15. https://drive.google.com/file/d/1Od0G1mtlRHz5LkxgT3GPr7wDEIw 7GV05/view Design Thinking and user experience research (Notes by NPTEL)
16. https://www.mindmeister.com/ Collaborative mind mapping t
17. https://miro.com/ UX tool
18. https://www.hotjar.com/ UIUX tool

For detail Syllabus of all other subjects of Cloud Computing & Big Data, K scheme do visit Cloud Computing & Big Data 4th Sem Syllabus for K scheme.

For all Cloud Computing & Big Data results, visit MSBTE Cloud Computing & Big Data all semester results direct links.