Hello students, welcome back to the new post of MSBTE Diploma in Computer Engineering.
My India Jobs author Tejas today are going to provide you MSBTE Computer Engineering 5th Semester K scheme syllabus along with the sub topics present in the syllabus.
There are total 6 subjects in the Diploma in Computer Engineering, Some of the subjects are elective in this semester.
The list of the subject in this semester are listed below. 5th semesters is one of the most important semester because the count of the percentage is market for the direct 2nd year engineering admission.
Note – While selecting the Open Electives please ask your institute which open electives subject should be choose.
Operating System which is most important subject in the computer engineering . It is one of the core subject in computer engineering which will ask on placement interview.
There are total Five units in the operating system K scheme syllabus In first unit you will learn about the operating systems and components in which you will get the operating system services provided by the operating system.
The name itself suggests that operating systems means operating systems in such as Windows, Linux, Ubuntu, and Android etc.
List of Subjects in Computer Engineering 5th Semester
315319 OPERATING SYSTEM K scheme Syllabus
Course Code: 315319
Unit I
Operating System services and components
▶
- Operating System: concept, functions
- 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)
- Command line based Operating System: DOS, UNIX GUI based Operating System: WINDOWS, LINUX, MaC OS
- Different Services of Operating System, System Calls: Concept, types of system calls
- Operating System Components: Process Management, Main Memory Management, File Management, IO Management, Secondary Storage Management
Unit II
Process Management
▶
- Processes: process state, process control block
- Process Scheduling: scheduling queues, types of schedulers, context switch
- Inter Process Communication: Shared memory system, Message passing system
- Threads: Benefits, User and Kernel level threads, Multithreading Models: One to One, Many to One, Many to Many
- Execute process commands like: top, ps, kill, wait, sleep, exit, nice
Unit III
CPU Scheduling
▶
- Scheduling: Basic concept, CPU and I/O burst cycle
- Preemptive and Non-preemptive scheduling, scheduling criteria
- 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
- Deadlock: System Models, Necessary conditions Leading to Deadlock, Deadlock Handling: Deadlock prevention, Deadlock avoidance- Banker’s Algorithm
Unit IV
Memory Management
▶
- Basic Memory Management: Partitioning – Fixed and Variable, Free Space Management Techniques: Bit map, Linked List
- Swapping, Compaction, Fragmentation, Partitioning Algorithms: First fit, Best fit, Worst fit
- Non-contiguous Memory Management Techniques: Paging, Segmentation
- Virtual Memory: Basics, Demand paging, Page Fault
- Page Replacement Algorithm: First In First Out (FIFO), Least Recently Used (LRU), Optimal
Unit V
File Management
▶
- File Concepts: Attributes, Operations, File types and File system structure
- Accessing Methods: Sequential, Direct
- File Allocation Methods: Contiguous allocation, Linked allocation, Indexed allocation
- Directory Structure: Single level, Two level, Tree structured Directory
Course Title: SOFTWARE ENGINEERING
Course Code: 315323
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)
Unit II
Software Requirement Engineering
2.1 Software Engineering core principles
2.2 Software Practices:
- Communication
- Planning
- Modelling
- Construction
- Software deployment (Statement and meaning of each principles for each practice)
2.3 Requirement Engineering:
- Requirement Gathering and Analysis
- Types: Functional, Product, organizational, External Requirements
- Eliciting Requirements
- Developing Use-cases
- Building requirement models
- Negotiation
- Validation
2.4 Software Requirement Specification:
- Need
- Format
- Characteristics
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
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
Unit V
Software Project Management
5.1 Project Scheduling:
- Basic principles
- Work breakdown structure
- Activity network
5.2 Project Tracking:
- Timeline charts
- Earned Value Analysis
- Gantt Charts
5.3 Scheduling techniques:
- Critical Path Method (CPM)
- Program Evaluation Review Technique (PERT)
Unit VI
Software Quality Assurance
6.1 Software Quality Management vs. Software Quality Assurance
6.2 Phases of Software Quality Assurance:
- Planning
- Activities
- Audit
- Review
6.3 Quality Evaluation standards:
- Six Sigma
- CMMI: Levels, Process areas
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)
Unit II
Software Requirement Engineering
2.1 Software Engineering core principles
2.2 Software Practices:
- Communication
- Planning
- Modelling
- Construction
- Software deployment (Statement and meaning of each principles for each practice)
2.3 Requirement Engineering:
- Requirement Gathering and Analysis
- Types: Functional, Product, organizational, External Requirements
- Eliciting Requirements
- Developing Use-cases
- Building requirement models
- Negotiation
- Validation
2.4 Software Requirement Specification:
- Need
- Format
- Characteristics
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
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
Unit V
Software Project Management
5.1 Project Scheduling:
- Basic principles
- Work breakdown structure
- Activity network
5.2 Project Tracking:
- Timeline charts
- Earned Value Analysis
- Gantt Charts
5.3 Scheduling techniques:
- Critical Path Method (CPM)
- Program Evaluation Review Technique (PERT)
Unit VI
Software Quality Assurance
6.1 Software Quality Management vs. Software Quality Assurance
6.2 Phases of Software Quality Assurance:
- Planning
- Activities
- Audit
- Review
6.3 Quality Evaluation standards:
- Six Sigma
- CMMI: Levels, Process areas
| Check out the syllabus of MSBTE | Direct Link of syllabus of 1st Semester and Computer Engineering 2nd, 3rd, 4th Semester |
| MSBTE 1st Semester Syllabus for all courses/branches | Find out |
| Diploma in Computer Engineering — 2nd Semester (K-Scheme) Syllabus 2025 | Read More |
| MSBTE Diploma in Computer Engineering — 3rd Semester (K-Scheme) Syllabus 2025 | Click Here |
| MSBTE Diploma in Computer Engineering 4th Semester K scheme Syllabus | Check Out |
315002 ENTREPRENEURSHIP DEVELOPMENT AND STARTUPS Syllabus
Course Title: ENTREPRENEURSHIP DEVELOPMENT AND STARTUPS
Course Code: 315002
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
- Trading
Unit II
Startup Selection Process
2.1 Product/Service selection:
- Process, core competence
- Product/service life cycle
- New product/service development process
- Mortality curve
- Creativity and innovation in product/service modification/development
2.2 Process selection:
- Technology life cycle
- Forms and cost of transformation
- Factors affecting process selection
- Location for an industry
- Material handling
2.3 Market study procedures:
- Questionnaire design
- Sampling
- Market survey
- Data analysis
2.4 Getting information from concerned stakeholders:
- Maharashtra Centre for Entrepreneurship Development (MCED)
- National Institute for Micro, Small and Medium Enterprises (NI-MSME)
- Prime Minister Employment Generation Program (PMEGP)
- Directorate of Industries (DI)
- Khadi Village Industries Commission (KVIC)
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 Financial metrics:
- Breakeven point
- Return on investment (ROI)
- Return on sales (ROS)
Unit IV
Managing Enterprise
4.1 Techno commercial Feasibility study:
- Feasibility report preparation
- Evaluation criteria
4.2 Business fundamentals:
- 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
315321 ADVANCE COMPUTER NETWORK Syllabus
Course Title: ADVANCE COMPUTER NETWORK
Course Code: 315321
Unit I
Internet Architecture and Network Layer
1.1 Internet Structure and Organizations
- Structure of Internet, Intranet
- Role of Internet Service Provider (ISP)
- Internet Corporation for Assigned Names and Numbers (ICANN)
1.2 IP Protocol Headers
- IPv4 – Header format
- IPv6 – Header format
1.3 Network Addressing
- Subnet, subnet addressing and address masking
- Supernetting
1.4 Address Mapping Protocols
- 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
Unit II
Routing Protocols
2.1 Router Architecture
- Router architecture
- Routing table
- Queueing and switching
2.2 Routing Protocols
- Intra domain routing:
- Distance vector routing – Creating distance vector routing tables, Initialization, Sharing, Updating
- Routing Information Protocol (RIPv2)
- Link State Routing – Open Shortest Path First (OSPF) – Types of links, Graphical representation
- Inter domain Routing:
- Path Vector Routing – Border Gateway Protocol (BGPv4)
2.3 Internet Control Message Protocol (ICMP)
- Types of messages
- Message format
- Error reporting messages
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
Unit IV
Application Layer Protocols
4.1 Domain Name System (DNS)
- DNS architecture
- Domain types
- DNS name space
- Domain name resolution & mapping to physical addresses
4.2 Electronic Mail
- Message Transfer Agent – Simple Mail Transfer Protocol (SMTP) – Components, Working
- Message Access Agent – Post Office Protocol (POP) and Internet Message Access Protocol (IMAP)
4.3 File Transfer
- File Transfer Protocol (FTP)
- Anonymous FTP
4.4 Remote Access
- Remote logging: Telnet
- Remote Desktop
4.5 World Wide Web
- 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
- Overview of PGP algorithms
- Key rings, PGP certificates
Unit V
Wireless Network Technologies
5.1 Wireless Network Communication
- 3G, 4G, 5G technologies
5.2 SDN (Software Defined Network)
- Architecture
- Working
- Applications
5.3 Network Functions Virtualization (NFV)
- Architecture
- Benefits
- Applications
5.4 Edge Computing and Edge Networking
- Definition
- Components
- Challenges
- Applications
5.5 Multimedia Wireless Networks
- Streaming Audio and Video
- Voice Over Internet Protocol (VoIP)
- Protocols – Real-time Transport Protocol (RTP), Real-Time Streaming Protocol (RTSP)
315325 CLOUD COMPUTING K Scheme Syllabus
Course Code: 315325
Unit I
Fundamentals of Cloud Computing
▶
- Definition of Cloud Computing, Characteristics of Cloud computing
- Cloud Deployment Models (Introduction, advantages and disadvantages): Public Cloud, Private Cloud, Community Cloud, Hybrid Cloud
- Cloud Service Models (Function, advantages, disadvantages): IaaS, PaaS, SaaS
- Cloud cost benefits
- Architectural and Infrastructural components of Cloud Computing
Unit II
Virtualization
▶
- Introduction, Virtualization Reference Model, Characteristics of virtualized environment
- Differentiate various types of Virtualization: Storage, Network, Desktop, Application server
- Technology Examples:
- VMWare: Full Virtualization Reference Model
- Xen: Architecture and Guest Operating System Management
- Definition and Life Cycle of Virtual Machine (VM), VM Migration: Concept and Techniques, VM Consolidation: Concepts, VM Management: Concepts
- Advantages and Disadvantages of Virtualization
Unit III
Cloud Storage, Monitoring and Management
▶
- Cloud Storage System Architecture
- Virtualize Data Centre (VDC) Architecture, VDC Environment, Server, Storage, Networking, Desktop and Application Virtualization techniques and benefits
- Cloud File Systems:
- Google File System (GFS): Components, Features, Advantages and Disadvantages
- Hadoop Distributed File System (HDFS): Terminologies like Heartbeat, Balancing and Replication, Features and Limitations
- Service Provider and users, An architecture of federated Cloud computing: Model and It’s Explanation
- Service Level Agreement (SLA)
- SLA management: 5 Phases of SLA management like Feasibility, On-Boarding, Pre-production, Production and Termination
- Types of SLA: Infrastructure SLA and Application SLA
- Life cycle of SLA: 5 Phases like Contract Definition, Publishing and Discovery, Negotiation, Operationalization and De-commissioning
- Cloud Service life cycle phases: Service planning, service creation, service operation and service termination
Unit IV
Security in Cloud Computing
▶
- Cloud Security Concepts: Multi-tenancy, Virtualization, Data Outsourcing and Trust Management, Metadata security
- Cloud Risk: Concept, Types of Cloud Risks
- Policy and Organizational Risks
- Technical Risks
- Legal Risks
- Data security technologies, Data Security risks
- Digital Identity and Access Management
- Content level security: Pros and Cons, Features of Security-As-A-Cloud Service
Unit V
Trends in Cloud
▶
- Cloud trends in supporting Ubiquitous Computing
- Enabling Technology in the Internet of Things (RFID, Sensor Networks and ZigBee Technologies, GPS)
- Innovative Applications with the Internet of Things (Ex: Health care: ECG Analysis in Cloud and it’s access, CRM and ERP: Business and Consumer Application)
- Benefits of Cloud Platforms: Amazon EC2 and S3, CloudStack, Intercloud, Google App Engine, Open stack, Open Nebulla
315326 DATA ANALYTICS K scheme syllabus
Course Code: 315326
Unit I
Introduction to Data Analytics
▶
- Data Analytics: An Overview, Importance of Data Analytics
- Types of Data Analytics: Descriptive Analysis, Diagnostic Analysis, Predictive Analysis, Prescriptive Analysis, Visual Analytics
- Life cycle of Data Analytics, Quality and Quantity of data, Measurement
- Data Types, Measure of central tendency, Measures of dispersion
- Sampling Funnel, Central Limit Theorem, Confidence Interval, Sampling Variation
Unit II
Statistical Analysis
▶
- Graphical techniques, box plot, skewness and kurtosis, Descriptive Stats
- Correlation and Regression, Data Cleaning
- Imputation Techniques
- Anova and Chi Square
- Scatter Diagram
- Estimation and Hypothesis Testing
- Sampling Distributions, Counting
- Probability, Probability Distributions
Unit III
Data Analytics with Excel
▶
- Excel Dashboard: Tables and Data Grids, Dynamic Filters and Controls, Trend Analysis and Forecasting
- Pivot Tables: Creating a Pivot Table Specifying Pivot Table Data
- Changing a Pivot Tables, Calculation Filtering and Sorting a Pivot Table
- Creating a Pivot Chart, Grouping Items
- Updating a Pivot Table, formatting a Pivot Table using Slicers
Unit IV
Data Visualization
▶
- Creating a Simple Chart, Charting Non-Adjacent Cells
- Creating a Chart Using the Chart Wizard, Modifying Charts, Moving an Embedded Chart, Sizing an Embedded Chart
- Changing the Chart Type, Changing the Way Data is Displayed, Moving the Legend
- Formatting Charts, Adding Chart Items, Formatting All Text, Formatting and Aligning Numbers, Formatting the Plot Area, Formatting Data Markers
- Pie Charts, Creating a Pie Chart Moving the Pie Chart to its Own Sheet Adding Data Labels, Exploding a Slice of a Pie Chart
Unit V
Data Visualization using Python
▶
- Overview of Matplotlib and its role in data visualization, Installing and setting up Matplotlib in Python
- Basic plotting with Matplotlib, Line plot, Scatter plots, Bar charts, Histograms, adding titles, labels, and legends to plots
- Changing figure size and aspect ratio, Customizing axes (limits, ticks, and labels)
- Exporting and Saving Visualizations: Saving plots in different formats (PNG, PDF, SVG), Adjusting the resolution and quality of saved plots, creating interactive visualizations using Matplotlib widgets
Tips and Conclusion
So students I will share with you the good tips that will help you to get good marks in the 5th and 6th semester so that you can get the good rank in the final merit list.
If you want to get a admission through cap Then you should definitely You should focus on the studies because to get a good college through MHT-CET.
In few upcoming post I will share with you the colleges list for direct second year it will help you in next year so you can judge the college according to their percentage and overall structure.
Now currently focus on diploma in Computer Engineering 5th semester subjects so there are might be subject your Computer Engineering 5th semester.
So instead of focusing only Getting marks also focused on the relation between the teachers and students because it will help you to get good marks.
If your behavior is not good with the teacher then it will definitely impact on your internal Marks and you know the internal marks will affect your overall percentage.
So my recommendation is, Try to maintain the good relation with your teachers.
Also you have started a coaching I hope for you might be get the Coaching various coaching classes then you can get a guide from that Sir/Mam from the first day.
If you want to refer official site from MSBTE Then you just go to click here and get the official subject list from the MSBTE website.
Guys in MSBTE website there are Numbers of pages so find out syllabus in the official site might be difficult so that’s why we are creating this website my India jobs in that you will get MSBTE syllabus Add all study materials.