Computer Science & Engineering

Diploma Engineering · Semester 6

6 महीनेअवधि 7Subjects 35Chapters ऑनलाइनTests & result

Your roadmap · आपका रोडमैप

  1. 1
    Admission & first meetingप्रवेश और पहली मुलाकात

    Enquire at your nearest NDSS centre, meet the teacher, fix the batch time and get your study material.

  2. 2
    Semester 6 — subject classesसेमेस्टर 6 — विषयवार कक्षाएँ

    Every theory subject of the term, unit by unit, with notes, numericals and doubt classes.

    Cloud ComputingInternet of ThingsData Science and Machine LearningSoftware TestingEntrepreneurship Development and Start-ups
  3. 3
    Labs, practicals & project workलैब, प्रैक्टिकल और प्रोजेक्ट

    Experiments / jobs / project work as in the syllabus, with practical file and viva preparation.

    Internet of Things Labमेजर प्रोजेक्ट
  4. 4
    Unit tests & mid-termयूनिट टेस्ट और मिड-टर्म

    A test after every unit and a mid-term in the university / board pattern.

  5. 5
    Semester 6 mock testमॉक टेस्ट

    A full mock test of all subjects before the exam, with analysis.

  6. 6
    Semester 6 exam (university / board)सेमेस्टर / वार्षिक परीक्षा

    Previous papers, important questions and full revision.

  7. 7
    Online tests & resultऑनलाइन टेस्ट और रिज़ल्ट

    Take the tests online; your marks and result show in your student login and at the centre.

सिलेबस · पाठ्यक्रम

7 subjects · 35 chapters · 191 topics

Cloud Computing5 chapters · 6 Months Subject page →
01Unit 1: Introduction to Cloud Computing 5 टॉपिक
  1. Definition (NIST) and essential characteristics
  2. Evolution - cluster, grid and cloud
  3. Benefits and limitations
  4. Cloud architecture - front end and back end
  5. Applications of cloud computing
02Unit 2: Service and Deployment Models 6 टॉपिक
  1. Infrastructure as a Service
  2. Platform as a Service
  3. Software as a Service
  4. Shared responsibility
  5. Public, private, hybrid and community clouds
  6. Multi-cloud
03Unit 3: Virtualization 6 टॉपिक
  1. Concept of virtualization
  2. Type 1 and Type 2 hypervisors
  3. Server, storage and network virtualization
  4. Virtual machines and their life cycle
  5. Containers and Docker basics
  6. Load balancing and auto scaling
04Unit 4: Cloud Platforms and Storage 6 टॉपिक
  1. Amazon Web Services - EC2, S3, RDS, Lambda
  2. Microsoft Azure services
  3. Google Cloud Platform services
  4. Object, block and file storage
  5. Pay-as-you-go pricing and free tier
  6. Launching a VM and hosting a web page
05Unit 5: Cloud Security and Management 6 टॉपिक
  1. Security challenges in the cloud
  2. Identity and access management
  3. Data encryption at rest and in transit
  4. Service level agreements
  5. Backup and disaster recovery
  6. Serverless and edge computing trends
Internet of Things5 chapters · 6 Months Subject page →
01Unit 1: Introduction to IoT 5 टॉपिक
  1. Definition and characteristics of IoT
  2. IoT architecture: perception, network and application layers
  3. Physical and logical design of IoT
  4. IoT enabling technologies, M2M
  5. IPv6 and addressing in IoT
02Unit 2: Sensors and Actuators 4 टॉपिक
  1. Analog and digital sensors
  2. Temperature and humidity (DHT11), LDR, PIR, ultrasonic and soil moisture sensors
  3. Actuators: relay, DC motor, servo, buzzer
  4. Signal conditioning and ADC
03Unit 3: IoT Hardware Platforms 4 टॉपिक
  1. Arduino Uno: board, pins and IDE
  2. digitalRead, digitalWrite, analogRead
  3. NodeMCU ESP8266 / ESP32 with Wi-Fi
  4. Raspberry Pi (introduction)
04Unit 4: Communication Technologies and Protocols 5 टॉपिक
  1. Wi-Fi, Bluetooth Low Energy, Zigbee
  2. LoRa / LoRaWAN and cellular IoT (NB-IoT)
  3. MQTT: publish-subscribe, broker
  4. HTTP and CoAP
  5. Comparison of range, data rate and power
05Unit 5: Cloud Platforms, Applications and Security 5 टॉपिक
  1. Cloud platforms: ThingSpeak, Blynk, Firebase (basic)
  2. Dashboards and data logging
  3. Smart home, smart city and smart agriculture
  4. Industrial IoT (basic)
  5. IoT security and privacy
Data Science and Machine Learning5 chapters · 6 Months Subject page →
01Unit 1: Introduction to Data Science 6 टॉपिक
  1. What is data science
  2. Data science life cycle
  3. Structured, semi-structured and unstructured data
  4. Sources of data - CSV, Excel, databases, APIs
  5. Tools - Python, Jupyter, Excel, Power BI
  6. Applications and careers
02Unit 2: Data Handling with NumPy and Pandas 6 टॉपिक
  1. NumPy arrays and operations
  2. Pandas Series and DataFrame
  3. Reading CSV and Excel files
  4. Selecting, filtering and sorting data
  5. Handling missing values and duplicates
  6. Grouping and aggregation
03Unit 3: Statistics and Visualization 6 टॉपिक
  1. Mean, median, mode
  2. Range, variance and standard deviation
  3. Correlation
  4. Normal distribution basics
  5. Line, bar, histogram, scatter and box plots
  6. Exploratory data analysis
04Unit 4: Machine Learning Fundamentals 6 टॉपिक
  1. Types of ML - supervised, unsupervised, reinforcement
  2. Features, labels, training and test sets
  3. Linear regression
  4. Logistic regression and classification
  5. k-Nearest Neighbours and decision tree
  6. k-means clustering
05Unit 5: Model Evaluation and Applications 6 टॉपिक
  1. Train-test split and cross-validation
  2. Overfitting and underfitting
  3. Confusion matrix, accuracy, precision, recall
  4. Mean squared error
  5. scikit-learn workflow
  6. Mini case study - house price or student result prediction
Software Testing5 chapters · 6 Months Subject page →
01Unit 1: Testing Fundamentals 7 टॉपिक
  1. Objectives of testing
  2. Error, defect / bug and failure
  3. Seven principles of testing
  4. Verification and validation
  5. Software Testing Life Cycle
  6. V-model
  7. Static testing - reviews, walkthroughs, inspection
02Unit 2: Levels and Types of Testing 7 टॉपिक
  1. Unit testing
  2. Integration testing - top-down, bottom-up, big bang
  3. System testing
  4. Acceptance testing - alpha and beta
  5. Functional and non-functional testing
  6. Performance, load, stress and security testing
  7. Regression and smoke testing
03Unit 3: Test Design Techniques 7 टॉपिक
  1. Black box testing
  2. Equivalence partitioning
  3. Boundary value analysis
  4. Decision table testing
  5. State transition testing
  6. White box testing - statement, branch and path coverage
  7. Cyclomatic complexity
04Unit 4: Test Management and Defect Tracking 7 टॉपिक
  1. Test plan and test strategy
  2. Writing test cases and test scenarios
  3. Requirement traceability matrix
  4. Defect report and defect life cycle
  5. Severity and priority
  6. Test metrics
  7. Tools - Jira, Bugzilla
05Unit 5: Test Automation and Quality Assurance 6 टॉपिक
  1. Manual vs automation testing
  2. Selenium WebDriver basics
  3. Unit testing with JUnit
  4. API testing basics with Postman
  5. Quality assurance vs quality control
  6. ISO standards and CMMI
Internet of Things Lab6 chapters · 6 Months Subject page →
01Introduction to IoT and Lab Setup 5 टॉपिक
  1. IoT definition and applications
  2. IoT architecture: perception, network and application layers
  3. Lab safety and handling of boards
  4. Installing Arduino IDE and board packages
  5. Breadboard, jumper wires and power supply
02Microcontroller Boards 5 टॉपिक
  1. Arduino Uno pin diagram and ATmega328P
  2. NodeMCU ESP8266 features and 3.3 V logic
  3. Raspberry Pi basics and GPIO
  4. Digital I/O: LED blink and push button
  5. Analog input and PWM output
03Sensors and Actuators Interfacing 6 टॉपिक
  1. Temperature and humidity sensor DHT11 / LM35
  2. LDR and light measurement
  3. PIR motion sensor
  4. Ultrasonic distance sensor HC-SR04
  5. Relay, buzzer and servo motor control
  6. Serial monitor and plotting
04Communication and Networking 5 टॉपिक
  1. Wi-Fi connection with ESP8266
  2. Bluetooth module HC-05
  3. HTTP GET / POST requests
  4. MQTT publish-subscribe and broker
  5. IP address, ports and basic security
05Cloud Platforms and Dashboards 4 टॉपिक
  1. ThingSpeak channel, fields and API key
  2. Uploading and plotting sensor data
  3. Blynk app widgets and virtual pins
  4. Alerts and notifications
06IoT Mini Projects 4 टॉपिक
  1. मौसम निगरानी स्टेशन
  2. Smart home appliance control
  3. Smart parking / intruder alert
  4. Project report and demonstration
Entrepreneurship Development and Start-ups5 chapters · 6 Months Subject page →
01Unit 1: Entrepreneurship Concepts 5 टॉपिक
  1. Meaning, qualities and functions of an entrepreneur
  2. Types of entrepreneurs, intrapreneur
  3. Theories of entrepreneurship (Schumpeter)
  4. Role of entrepreneurship in economic development
  5. Women and rural entrepreneurship
02Unit 2: Opportunity Identification 5 टॉपिक
  1. Sources of business ideas
  2. Brainstorming and creativity
  3. Market survey and demand estimation
  4. SWOT analysis
  5. Feasibility study
03Unit 3: Business Plan and Project Report 5 टॉपिक
  1. Elements of a business plan
  2. Detailed project report (DPR)
  3. Fixed and variable costs
  4. Break-even analysis
  5. Working capital estimation
04Unit 4: Support Institutions and Schemes 6 टॉपिक
  1. MSME definition and Udyam registration
  2. DIC, NSIC, SIDBI and banks
  3. PMEGP
  4. Pradhan Mantri Mudra Yojana
  5. Startup India and Stand-Up India
  6. UP state start-up policy and incubation centres
05Unit 5: Finance and Legal Aspects 5 टॉपिक
  1. Sources of finance: owned and borrowed
  2. Angel investors and venture capital
  3. Crowdfunding (basic)
  4. GST registration (basic)
  5. Intellectual property: patent, trademark, copyright
मेजर प्रोजेक्ट4 chapters · 6 Months Subject page →
01Milestone 1: Topic Selection and Synopsis 5 टॉपिक
  1. Forming the group and choosing a guide
  2. Identifying a real problem - college, shop, hospital, library
  3. Feasibility of the topic
  4. Writing the synopsis - title, problem, objectives, tools, modules, timeline
  5. Synopsis approval
02Milestone 2: Analysis and Design 5 टॉपिक
  1. Requirement gathering
  2. Software Requirement Specification
  3. DFD, ER diagram and use case diagram
  4. Database table design
  5. UI wireframes
03Milestone 3: Implementation and Testing 5 टॉपिक
  1. Choosing technology - PHP / Python / Java / Android with MySQL
  2. Module-wise coding and version control
  3. Integration of modules
  4. Writing test cases and testing
  5. Mid-term progress review
04Milestone 4: Report, Demonstration and Viva 5 टॉपिक
  1. Report format - certificate, abstract, chapters, screenshots, references
  2. Preparing the presentation
  3. Live demonstration of the software
  4. Viva voce
  5. Submitting source code and report

About this course

आप यह कर पाएँगे

  • Complete Cloud Computing syllabus with regular tests
  • Complete Internet of Things syllabus with regular tests
  • Complete Data Science and Machine Learning syllabus with regular tests
  • Complete Software Testing syllabus with regular tests
  • Complete Internet of Things Lab syllabus with regular tests
  • Complete Entrepreneurship Development and Start-ups syllabus with regular tests
  • Complete Major Project syllabus with regular tests

यह किसके लिए है

  • Diploma Computer Science & Engineering students of Semester 6 (BTEUP)
  • Diploma IT students and beginners interested in cloud careers

आपको क्या चाहिए

  • Computer networks and operating systems basics (Semester 4)
Online tests & result Practice and unit tests online; marks and result show in your student login and at the centre. Student login →

सवाल

Which syllabus is followed?

The BTEUP Diploma Computer Science & Engineering Semester 6 Cloud Computing syllabus. Where your college syllabus differs, the centre follows your own syllabus.

Do I need to pay for a cloud account?

No for learning. Free tiers of AWS, Azure or GCP are enough; a debit/credit card may be needed for sign-up verification, so always delete resources after practice.

Does this help with certifications?

Yes. It gives the base for entry-level certifications such as AWS Cloud Practitioner or Azure Fundamentals.

Which syllabus does this course follow?

It follows the BTEUP (Board of Technical Education, Uttar Pradesh) syllabus of Internet of Things (Semester 6). Where your polytechnic follows a different board or a revised syllabus, the centre follows your own syllabus.

Will it help in the semester examination?

Yes. Every unit is covered with solved examples, unit-wise MCQs and previous-year style questions for the BTEUP theory and practical exams.

Will I build a working project?

Yes. A small sensor-to-cloud project with Arduino / NodeMCU is built in class and can be extended into the final-year project.

Is advanced mathematics needed?

No. Basic statistics and algebra are enough; formulas are explained with small solved examples.

Which software is used?

Python with Jupyter Notebook / Google Colab, NumPy, Pandas, Matplotlib and scikit-learn - all free.

Download the syllabus (PDF)

Tell us who you are — your copy is made with your name, and our counsellor can help you choose the right course and centre.

Want to join right away? अभी पूछताछ करें — our centre will call you.