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For detailed Syllabus of all other subjects of Computer Science & Information Technology IH 5th Sem, K scheme do visit Computer Science & Information Technology 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 Computer Science & Information Technology 5th Sem K Scheme Syllabus PDF, do visit MSBTE Computer Science & Information Technology 5th Sem K Scheme Syllabus PDF Subjects. The detailed Syllabus for data analytics 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. Elaborate the fundamental concepts of Data Analytics.
2. Apply appropriate statistical techniques to analyze and interpret complex Datasets.
3. Analyze numerical data by creating pivot table.
4. Represent data in terms of various types of charts.
5. Visualize the data using a Python library.

Unit I

Introduction to Data Analytics 1.1 Data Analytics: An Overview, Importance of Data Analytics 1.2 Types of Data Analytics: Descriptive Analysis, Diagnostic Analysis, Predictive Analysis, Prescriptive Analysis, Visual Analytics 1.3 Life cycle of Data Analytics, Quality and Quantity of data, Measurement 1.4 Data Types, Measure of central tendency, Measures of dispersion 1.5 Sampling Funnel, Central Limit Theorem, Confidence Interval, Sampling Variation

Suggested Learning Pedagogie
Presentations Lecture Using Chalk-Board Case Study

Unit II

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Unit III

Data Analytics with Excel 3.1 Excel Dashboard: Tables and Data Grids, Dynamic Filters and Controls, Trend Analysis and Forecasting 3.2 Pivot Tables: Creating a Pivot Table Specifying Pivot Table Data 3.3 Changing a Pivot Tables, Calculation Filtering and Sorting a Pivot Table 3.4 Creating a Pivot Chart, Grouping Items 3.5 Updating a Pivot Table, formatting a Pivot Table using Slicers

Suggested Learning Pedagogie
Presentations Hands-on Demonstration

Unit IV

Data Visualization 4.1 Creating a Simple Chart, Charting Non-Adjacent Cells 4.2 Creating a Chart Using the Chart Wizard, Modifying Charts, Moving an Embedded Chart, Sizing an Embedded Chart 4.3 Changing the Chart Type, Changing the Way Data is Displayed, Moving the Legend 4.4 Formatting Charts, Adding Chart Items, Formatting All Text, Formatting and Aligning Numbers, Formatting the Plot Area, Formatting Data Markers 4.5 Pie Charts, Creating a Pie Chart Moving the Pie Chart to its Own Sheet Adding Data Labels, Exploding a Slice of a Pie Chart

Suggested Learning Pedagogie
Presentations Hands-on Demonstration

Unit V

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List of Experiments:

1. * a. Calculate mean, median, and mode for a given dataset using Excel functions (AVERAGE, MEDIAN, MODE). * b. Calculate range, interquartile range (IQR), variance, and standard deviation using Excel functions (STDEV, VAR). * c. Calculate the correlation coefficient between two variables using the CORREL function
2. * a. Construct a box plot using the Insert Chart feature to identify the median, quartiles, and outliers of a dataset. * b. Perform a simple linear regression analysis * c. Conduct a t-test to compare means between two groups * d. Calculate confidence intervals * e. Conduct a Chi-square test
3. *Create a Data Table a. Import a sample dataset (e.g., sales data) into Excel. b. converts the dataset into an Excel Table using the “Format as Table” feature and apply appropriate styles. c. Create a dashboard sheet that summarizes key metrics (e.g., total sales, average sales per region) using tables. *Data Cleaning a. Identify and remove duplicates from a dataset. b. Use functions like TRIM, UPPER, LOWER, and PROPER to clean text data. c. Find and replace values using the Find & Replace feature.
4. Create a Pivot Table a. A basic pivot table from a dataset b. Specify and filter data in a pivot table c. Add a calculated field to a pivot table d. Group data within a pivot table. Refresh pivot table data after making changes to the source data. Filter and sort a PivotTable a. Apply a Filter to the PivotTable b. Sort Data in the Pivot Table. c. Add slicers to the PivotTable for interactive filtering.
5. Create a Pivot Chart a. A basic pivot chart from a dataset b. A dynamic pivot chart that updates based on user selection c. Group date items in a pivot table to summarize data by month or year d. Group product categories in a pivot table
6. *Create a Simple Chart a. A simple bar chart to visualize data sets b. A chart using non-adjacent cells to visualize data from different ranges. *Create a Chart Using the Chart Wizard a Select the chart you created and experiment with the Chart Tools options b. Modifying Charts c. Moving an Embedded Chart d. Sizing an Embedded Chart
7. *Change the Chart Type a. Create a basic bar chart using a dataset and change its type to a different chart b. Experiment with different data display options, such as adding data labels, changing the axis format, and adjusting the gridlines c. Experiment with position and style of the legend
8. a. Create a pie chart from a dataset b. Move the pie chart to a new worksheet for better visibility c. Emphasize a specific category by exploding a slice of the pie chart d. Customize the appearance of the pie chart for better presentation
9. * Create different types of plots.Write a Python script to save the plot in different formats: PNG, PDF, and SVG.
10. Application of data analytics across various industries through case study

Laboratory Equipment

1. Microsoft Office ,Office 365 1,2,3,4,5,6,7,8,9
2. Software: Editor: Python setup 10,11
3. Computer (i5 preferable), RAM minimum 8 GB onwards. All
4. Operating system: Windows 10 onward All

Learning Materials

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
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Learning Websites & Portals

1. https://spreadsheetpoint.com/excel/dashboard-in-excel/ Advance Excel
2. https://www.javatpoint.com/how-to-create-a-dashboard-in-exce l Excel Dashboard
3. https://www.simplilearn.com/tutorials/excel-tutorial/data-an alysis-excel Data Visualization
4. https://www.freecodecamp.org/news/introduction-to-data-vizua lization-using-matplotlib/ Matplotlib in Python
5. https://archive.nptel.ac.in/courses/106/107/106107220/ Introduction to data analytics

For detail Syllabus of all other subjects of Computer Science & Information Technology, K scheme do visit Computer Science & Information Technology 5th Sem Syllabus for K scheme.

For all Computer Science & Information Technology results, visit MSBTE Computer Science & Information Technology all semester results direct links.

For all other MSBTE Computer Science & Information Technology 5th Sem K Scheme Syllabus PDF, do visit MSBTE Computer Science & Information Technology 5th Sem K Scheme Syllabus PDF Subjects. The detailed Syllabus for cloud computing 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. Use basic Cloud based applications.
2. Explain Virtualization in Cloud Computing.
3. Maintain storage system and services in Cloud.
4. Apply Security in Cloud Computing.
5. Use various Cloud Platforms.

Unit I

Fundamentals of Cloud Computing 1.1 Definition of Cloud Computing, Characteristics of Cloud computing 1.2 Cloud Deployment Models(Introduction, advantages and disadvantages) : Public Cloud, Private Cloud, Community Cloud, Hybrid Cloud 1.3 Cloud Service Models (Function, advantages, disadvantages) : IaaS, PaaS, SaaS 1.4 Cloud cost benefits 1.5 Architectural and Infrastructural components of Cloud Computing

Suggested Learning Pedagogie
Lecture Using Chalk-Board Presentations Flipped Classroom

Unit II

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Unit III

Cloud Storage, Monitoring and Management 3.1 Cloud Storage System Architecture 3.2 Virtualize Data Centre (VDC) Architecture, VDC Environment, Server, Storage, Networking, Desktop and Application Virtualization techniques and benefits 3.3 Cloud File Systems: Google File System (GFS) : Components, Features, Advantages and Disadvantages and Hadoop Distributed File System (HDFS) :Terminologies like Heartbeat, Balancing and Replication, Features and Limitations 3.4 Service Provider and users, An architecture of federated Cloud computing : Model and It’s Explanation 3.5 Service Level Agreement (SLA) 3.5.1 SLA management: 5 Phases of SLA management like Feasibility, On-Boarding, Pre-production, Production and Termination 3.5.2 Types of SLA: Infrastructure SLA and Application SLA 3.5.3 Life cycle of SLA: 5 Phases like Contract Definition, Publishing and Discovery , Negotiation, Operationalization and De-commissioning 3.6 Cloud Service life cycle phases: Service planning, service creation, service operation and service termination

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

Unit IV

Security in Cloud Computing 4.1 Cloud Security Concepts: Multi-tenancy, Virtualization, Data Outsourcing and Trust Management, Metadata security 4.2 Cloud Risk: Concept, Types of Cloud Risks 4.2.1 Policy and Organizational Risks 4.2.2 Technical Risks 4.2.3 Legal Risks 4.3 Data security technologies, Data Security risks 4.4 Digital Identity and Access Management 4.5 Content level security: Pros and Cons, Features of Security-As-A-Cloud Service

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
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List of Experiments:

1. * Configure Cloud using JustCloud
2. Use Goggle Doc to make spreadsheet and notes
3. * Create Virtual Machines using VMware (Private Cloud) and delete the created VM after completion
4. * Implement Storage Service on Cloud using OpenStack
5. * Create and Host Simple Web Application on Google cloud/Any cloud platform
6. Create a File System using HDFS
7. Work in Codenvy to show Provisioning and Scaling of a website
8. * Implement Identity Management and Access Management using OpenStack
9. Configure Server using CFEngine or any other open source tool
10. * Design an application based on IoT using Arduino or Raspberry Pi
11. Design any automated application using RFID

Self Learning

Micro Project
A suggestive list of micro-projects is given here. Similar micro-projects could be added by concerned faculty:

1. Prepare the report on case study of Amazon Cloud Services.
2. Prepare the report on case study of Google App Engine.
3. Create infrastructure as service using OpenStack.
4. Develop Personal Cloud using Raspberry Pi or any equivalent platform.

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. Rajkumar Buyya, James Broberg, Andrzej Goscinski Cloud Computing, Principals and Paradigms A John Wilwy & Sons, Inc.,Publication, ISBN: 978-0-470-88799-8
2. Sharma Rishabh Cloud Computing Wiley Publication, ISBN: 978-81-2655306-8
3. Christian Vecchiola, Rajkumar Buyya, and S.Thamarai Selvi Mastering Cloud Computing McGraw Hill Publication, ISBN 978-125-902995-0
4. Singh Shailendra Cloud Computing Oxford University Press, ISBN: 9780199477388
5. Arshdeep Bahga, Vijay Madisetti Cloud Computing: A Hands-On Approach Self published, ISBN 1494435144, 9781494435141

Learning Websites & Portals

1. https://www.techopedia.com/definition/2/cloud-computing Cloud computing, How it works, Components and Types of Cloud Computing, Cloud Deployment Models
2. https://nptel.ac.in/courses/106105167 This course will introduce various aspects of cloud computing, including fundamentals, management issues, security challenges and future research trends. This will help students and researchers to use and explore the cloud computing platforms.
3. https://www.geeksforgeeks.org/service-level-agreements-in-cl oud-computing/?ref=lbp Service level agreements in Cloud computing
4. https://www.javatpoint.com/virtualization-in-cloud-computing Virtualization in Cloud Computing
5. https://www.coursera.org/learn/cloud-security-on-aws/supplem ent/AcCam/course-overview Learn AWS cloud security essentials: challenges, AWS services, advanced techniques, network security, encryption, breach response, compliance.
6. https://www.proquest.com/openview/53e8a5ed4ebc5ff06d57ebee9c ba2a72/1?pq-origsite=gscholar&cbl=5444811 Research Paper on Current Development, Challenges, and Future Trends in Cloud Computing: A Survey

For detail Syllabus of all other subjects of Computer Science & Information Technology, K scheme do visit Computer Science & Information Technology 5th Sem Syllabus for K scheme.

For all Computer Science & Information Technology results, visit MSBTE Computer Science & Information Technology all semester results direct links.

For all other MSBTE Computer Science & Information Technology 5th Sem K Scheme Syllabus PDF, do visit MSBTE Computer Science & Information Technology 5th Sem K Scheme Syllabus PDF Subjects. The detailed Syllabus for advance database management 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. Apply the concept of concurrency control.
2. Analyse various database architectures
3. Use Object Oriented and XML queries on Database.
4. Manipulate data using NoSQL commands.
5. Use data mining and warehousing concepts.

Unit I

Database System Architecture 1.1 Concurrency Control Techniques: Concurrency control protocols: Locked Based protocols, granting of locks, Two Phase Locking protocol 1.2 Database Model: Centralized Database System, Server System Architecture, Transaction Server, Data Server

Suggested Learning Pedagogie
Video Demonstrations 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

Object Based Database & XML 3.1 Object Based Database: Overview, Complex data types, Structured types and inheritance in SQL 3.2 Table inheritance 3.3 Array and multiset types in SQL 3.4 Object-oriented vs. Object-Relational database 3.5 XML: Introduction, Structure of Xml Data, Xml Document Schema, Xpath, XQuery: FLWOR Expressions, Joins, Nested Queries, Sorting of Functions, Functions and Types

Suggested Learning Pedagogie
Lecture Using Chalk-Board Presentations Video Demonstrations

Unit IV

NoSQL & MongoDB 4.1 Structured versus Unstructured Data 4.2 NoSQL database concepts: Types of NoSQL database, NoSQL data modeling, Benefits of NoSQL, comparison between SQL and NoSQL database system 4.3 NoSQL using MongoDB: Introduction to MongoDB Shell, Running the MongoDB shell, MongoDB client, Basic operations with MongoDB shell, Basic Data Types ,Arrays, Embedded Documents 4.4 Querying with MongoDB: find() function, specifying which keys to return, query criteria, OR queries, Types specific querying

Suggested Learning Pedagogie
Lecture Using Chalk-Board Presentations 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.
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List of Experiments:

1. Install suitable Database. 2 .Configure a server-based database and establish client-server connections. 2
2. *Execute query to implement Locked Based protocols. 2
3. Study Parallel and Distributed system using Case. 2
4. Create database using XML 1. Create a xml file for given Application 2. Create database using xml file 3. Confirm database path 4.Show database 2
5. *4.1 Implement queries based on FLWOR expressions 1. Create a xml file 2. Confirm the path expression 3. Use FLWOR expression for given criteria to display result from xml file 4. Execute Join queries *4.2 Implement queries based on nested queries and sorting of results using XQuery 1. Create a xml file 2. Execute queries based on Nested queries and sorting of results using XQuery 2
6. *Execute query using type inheritance and table inheritance 1. Create Parent Table and child table for given application 2. Execute queries using inheritance approach by combining a data from parent, child tables 2
7. *Execute query using Array and Multiset types in SQL 1. Create an array Type and Multiset type 2. Use array type and Multiset type as a column name in table 3. Insert and display the data from table 2
8. *Execute MongoDB Query using basic operations 1. Create a database for given application 2. Use DATABASE statement 3. Insert, update and delete the record for given application 2
9. *9.1 : Implement aggregation queries 1. Write MongoDB queries using aggregate function for given application *9.2: Execute query using find() function 1. Write MongoDB queries using find () for given application 2
10. *Use Data warehousing tool (ETL) 1. Extract the relevant data from the source database 2. Transform the data so that it is better suited for analytics 3. Load the data into the target database 2
11. Implement Classification Techniques in Data Mining 2

Self Learning

Micro Project

• Develop and maintain XML database for Employee Attendance System
• Develop a MongoDB database for tracking patient history in a healthcare system.
• Develop a MongoDB database for tracking issued and pending books in a library.

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. Korth Henery Database System Concepts McGraw Hill Education, New Delhi, 6th Edition ,ISBN -13:978-93-329-0138-4
2. Chakrabarti, Dasgupta, Shinde, KLSI Advanced Database Management System Dreamtech Press ,ISBN 13 :9789351194552
3. Bayross Ivan SQL, PL/SQL The Programming Language of ORACLE BPB Publications, New Delhi, 3rd Edition ISBN-13: 978-8176569644
4. Jiawei Han,Micheline Kamber,Jian Pei Data Mining Concepts and Techniques Morgan Kaufmann ,USA,3rd Edition, ISBN-978-0-12-381479-1

Learning Websites

1. https://docs.mongodb.com/manual/tutorial/install-mongodb-on- windows/ MangoDB installation
2. www.learn-with-video-tutorials.com/data-warehouse-tutorial-v ideo Advanced database management system concept
3. https://www.javatpoint.com/xml-database XML Tutorial
4. https://www.javatpoint.com/data-warehouse Data Warehouse and Data Mining
5. https://www.youtube.com/watch? v=L54ajG7vtZA&list=PLPphbOQYOr DrTLR_4BBxYpaJAtluFEkS9 ADVANCED DATABASE CONCEPTS-(DATABASE SYSTEM ARCHITECTURES)

For detail Syllabus of all other subjects of Computer Science & Information Technology, K scheme do visit Computer Science & Information Technology 5th Sem Syllabus for K scheme.

For all Computer Science & Information Technology results, visit MSBTE Computer Science & Information Technology all semester results direct links.

For all other MSBTE Computer Science & Information Technology 5th Sem K Scheme Syllabus PDF, do visit MSBTE Computer Science & Information Technology 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 Computer Science & Information Technology, K scheme do visit Computer Science & Information Technology 5th Sem Syllabus for K scheme.

For all Computer Science & Information Technology results, visit MSBTE Computer Science & Information Technology all semester results direct links.

For all other MSBTE Computer Science & Information Technology 5th Sem K Scheme Syllabus PDF, do visit MSBTE Computer Science & Information Technology 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 Computer Science & Information Technology, K scheme do visit Computer Science & Information Technology 5th Sem Syllabus for K scheme.

For all Computer Science & Information Technology results, visit MSBTE Computer Science & Information Technology all semester results direct links.

For all other MSBTE Computer Science & Information Technology 5th Sem K Scheme Syllabus PDF, do visit MSBTE Computer Science & Information Technology 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 Computer Science & Information Technology, K scheme do visit Computer Science & Information Technology 5th Sem Syllabus for K scheme.

For all Computer Science & Information Technology results, visit MSBTE Computer Science & Information Technology all semester results direct links.

For all other MSBTE Computer Science & Information Technology 5th Sem K Scheme Syllabus PDF, do visit MSBTE Computer Science & Information Technology 5th Sem K Scheme Syllabus PDF Subjects. The detailed Syllabus for software engineering 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. Select suitable software development process model
2. Prepare software requirement specification.
3. Construct different Software design models
4. Apply different planning and cost estimation techniques for a software product
5. Apply project management techniques in software development.
6. Use quality assurance principles in software development

Unit I

Software Development Process 1.1 Software characteristics, Types of software. 1.2 The Process: Software Engineering: A Layered approach -Process, Methods and Tools 1.3 Software development framework. 1.4 Software Process Model: Waterfall Model 1.5 Incremental Process Model: RAD Model 1.6 Evolutionary Process Models: Prototyping model, Spiral model 1.7 Agile Process Model: Extreme Programming, Adaptive Software Development (ASD), Scrum, Dynamic System Development Method (DSDM), CRYSTAL. Agile Unified Process (AUP)

Suggested Learning Pedagogie
Presentations Lecture Using Chalk-Board

Unit II

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Unit III

Software Modelling and Design 3.1 Translating Requirement model into design model: Data Modelling. 3.2 Analysis Modelling: Elements of Analysis model. 3.3 Design modelling: Fundamental Design Concepts (Abstraction, Information hiding, Structure, Modularity, Concurrency, Verification, Aesthetics). 3.4 Design notations: Data Flow Diagram (DFD), Structured Flowcharts, Decision Tables. 3.5 UML Modelling :Use-Case ,Class Diagrams, Sequence Diagrams. 3.6 Testing – Meaning and purpose, testing methods -Black-box and White-box, Static and Dynamic testing, Level of testing, V-model.

Suggested Learning Pedagogie
Lecture Using Chalk-Board Presentations Demonstration

Unit IV

Software Project Cost Estimation 4.1 The Management Spectrum – 4P’s. 4.2 Metrics for Size Estimation: Line of Code (LoC), Function Points (FP). 4.3 Project Cost Estimation Approaches: Overview of Heuristic, Analytical, and Empirical Estimation. 4.4 COCOMO (Constructive Cost Model), COCOMO II. 4.5 Risk Analysis and Management: Risk identification, Risk assessment, Risk management and monitoring, Risk Refinement and Mitigation, RMMM Plan.

Suggested Learning Pedagogie
Lecture Using Chalk-Board Presentations Case Study Flipped Classroom

Unit V

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Unit VI

Software Quality Assurance 6.1 Software Quality Management vs. Software Quality Assurance. 6.2 Phases of Software Quality Assurance: Planning, activities, audit, and review. 6.3 Quality Evaluation standards: Six Sigma, CMMI: Levels, Process areas.

Suggested Learning Pedagogie
Lecture Using Chalk-Board Presentations Case Study

List of Experiments:

1. *Write problem statement to define the project title with bounded scope of the project.
2. Select relevant process model to define activities and related tasks set
3. *Gather application specific requirements for assimilate into RE (Requirement’s engineering) model.
4. *Prepare broad SRS (software requirement software) for the project.
5. *Write use-cases and draw use-case diagram.
6. Draw the activity diagram to represent flow from one activity to another for software development.
7. *Create DFDs (data flow diagram), Decision tables and E-R (entity-relationship) diagram.
8. Draw class diagram and Sequence diagram, State Transition Diagram.
9. * Create decision table for a project.
10. *Write test cases to validate requirements from SRS document.
11. Prepare test cases for Black Box Testing.
12. * Identify risks involved in the project and prepare RMMM (RMMM-Risk Management, Mitigation and Monitoring) plan.
13. * Calculate size of the project using Function point metric.
14. *Calculate cost of the project using COCOMO (Constructive Cost Model) / COCOMO II approach.
15. *Create software project scheduling charts using CPM (Critical Path Method) / PERT (Project Evaluation and Review Technique)
16. Track progress of the project using Timeline charts/ Gantt charts.
17. Prepare SQA plan that facilitates various attributes of quality of process.
18. *Prepare SQA plan that facilitates various attributes of quality of product.

Self Learning

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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Laboratory Equipment

1. Software Project Management Tools: Open source Software such as Jira. 1,2,3,4,10,11,17,18
2. Software Design tools : Projectriskmanager 12
3. Software Design tools :Open Project, Ganttproject 3.3 15,16
4. Software Design tools: Free Use Case Diagram Creator 5
5. Software Design tools: Draw.io, Decision Table Maker, Tiny tools 6,7,8,9,13,14
6. Hardware: Personal computer, processor i3 and above, RAM minimum 4 GB All
7. Operating system: Windows 10 and above All

Learning Materials / Books

1. Roger S. Pressman & Bruce R. Maxim Software Engineering: A practitioner’s approach McGraw Hill Higher Education, New Delhi, (Ninth Edition) ISBN 93-5532-504-5
2. Richard Fairly Software Engineering Concepts McGraw Hill Education New Delhi -2001, ISBN-13: 9780074631218
3. Deepak Jain Software Engineering: Principles and practices Oxford University Press, New Delhi ISBN 9780195694840
4. Srinivasan Desikan, Gopalaswamy Ramesh Software Testing: Principles and Practices PEARSON Publisher: Pearson India 2007, ISBN: 978-81-7758-121-8
5. Ron Patton Software Testing Sams Publishing; 2nd edition, 2005 ISBN: 0672327988

Learning Websites & Portals

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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For detail Syllabus of all other subjects of Computer Science & Information Technology, K scheme do visit Computer Science & Information Technology 5th Sem Syllabus for K scheme.

For all Computer Science & Information Technology results, visit MSBTE Computer Science & Information Technology all semester results direct links.

For all other MSBTE Computer Science & Information Technology 5th Sem K Scheme Syllabus PDF, do visit MSBTE Computer Science & Information Technology 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
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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 Computer Science & Information Technology, K scheme do visit Computer Science & Information Technology 5th Sem Syllabus for K scheme.

For all Computer Science & Information Technology results, visit MSBTE Computer Science & Information Technology all semester results direct links.

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