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Computer Applications

MCA · Semester 3

6 महीनेअवधि 8Subjects 40Chapters ऑनलाइनTests & result
अभी पूछताछ करें Nearest centre Syllabus PDF

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 3 — subject classesसेमेस्टर 3 — विषयवार कक्षाएँ

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

    Artificial IntelligenceSoftware EngineeringComputer NetworksCloud ComputingWeb Technology
  3. 3
    Labs, practicals & project workलैब, प्रैक्टिकल और प्रोजेक्ट

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

    Artificial Intelligence LabSoftware Engineering Labमिनी 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 3 mock testमॉक टेस्ट

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

  6. 6
    Semester 3 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

8 subjects · 40 chapters · 182 topics

Artificial Intelligence5 chapters · 6 Months Subject page →
01Unit 1: Introduction and Intelligent Agents 5 टॉपिक
  1. Definition, history and applications of AI
  2. Turing test
  3. Agents and environments; PEAS description
  4. Types of environments
  5. Agent types: simple reflex, model-based, goal-based, utility-based, learning
02Unit 2: Problem Solving by Search 6 टॉपिक
  1. Problem formulation and state space
  2. Uninformed search: BFS, DFS, uniform cost, iterative deepening
  3. Informed search: greedy best-first, A* and heuristics
  4. Local search: hill climbing, simulated annealing, genetic algorithms
  5. Adversarial search: minimax and alpha-beta pruning
  6. Constraint satisfaction problems
03Unit 3: Knowledge Representation and Reasoning 5 टॉपिक
  1. Propositional logic and inference
  2. First-order predicate logic
  3. Unification and resolution
  4. Forward and backward chaining
  5. Semantic networks, frames and ontologies
04Unit 4: Uncertainty and Planning 5 टॉपिक
  1. Probability basics and Bayes' rule
  2. Bayesian belief networks
  3. Fuzzy sets and fuzzy logic
  4. Classical planning and STRIPS
  5. Expert systems: architecture and examples
05Unit 5: Learning and Applications 5 टॉपिक
  1. Forms of learning: supervised, unsupervised, reinforcement
  2. Decision tree learning
  3. Artificial neural networks basics
  4. Reinforcement learning basics
  5. Natural language processing and robotics overview
Software Engineering5 chapters · 6 Months Subject page →
01Unit 1: Introduction and Process Models 5 टॉपिक
  1. Software characteristics and software crisis
  2. Software development life cycle
  3. Waterfall and prototype models
  4. Spiral, evolutionary and iterative enhancement models
  5. Agile methodology and Scrum basics
02Unit 2: Requirement Engineering and Quality 5 टॉपिक
  1. Requirement elicitation and analysis
  2. Functional and non-functional requirements
  3. DFD, ER diagram, decision tables
  4. SRS document and IEEE standards
  5. Software quality assurance, ISO 9000 and SEI-CMM
03Unit 3: Software Design and Metrics 6 टॉपिक
  1. Architectural design and modularisation
  2. Coupling and cohesion
  3. Function-oriented and object-oriented design
  4. Top-down and bottom-up design
  5. Size metrics: LOC and function points
  6. Halstead's software science and cyclomatic complexity
04Unit 4: Software Testing 6 टॉपिक
  1. Verification and validation
  2. Unit, integration, system and acceptance testing
  3. Black-box testing: equivalence partitioning, boundary value analysis
  4. White-box testing: path, branch and condition coverage
  5. Alpha, beta and regression testing
  6. Debugging and static testing: reviews, walkthroughs, inspections
05Unit 5: Maintenance and Project Management 5 टॉपिक
  1. Types of maintenance: corrective, adaptive, perfective, preventive
  2. Re-engineering and reverse engineering
  3. Software configuration management
  4. Cost estimation: COCOMO model
  5. Risk management and project scheduling
Computer Networks5 chapters · 6 Months Subject page →
01Unit 1: Introduction and Physical Layer 5 टॉपिक
  1. Uses and types of networks: LAN, MAN, WAN
  2. Network topologies
  3. OSI reference model and TCP/IP model
  4. Transmission media: guided and unguided
  5. Switching: circuit, packet and message
02Unit 2: Data Link Layer 6 टॉपिक
  1. Framing
  2. Error detection and correction: parity, CRC, Hamming code
  3. Flow control: stop-and-wait, sliding window
  4. Go-back-N and selective repeat ARQ
  5. Multiple access: ALOHA, CSMA, CSMA/CD
  6. Ethernet and switches
03Unit 3: Network Layer 6 टॉपिक
  1. IPv4 addressing, classes and subnetting
  2. CIDR and supernetting
  3. IPv6 basics
  4. ARP, RARP and ICMP
  5. Routing algorithms: distance vector and link state
  6. Routing protocols: RIP, OSPF, BGP
04Unit 4: Transport Layer 6 टॉपिक
  1. Process-to-process delivery and port numbers
  2. UDP
  3. TCP segment and services
  4. Three-way handshake and connection release
  5. TCP flow control and congestion control
  6. Quality of service
05Unit 5: Application Layer and Security 5 टॉपिक
  1. DNS
  2. HTTP and the World Wide Web
  3. Electronic mail: SMTP, POP3, IMAP
  4. FTP and SNMP
  5. Network security basics: cryptography, firewalls
Cloud Computing5 chapters · 6 Months Subject page →
01Unit 1: Introduction to Cloud Computing 6 टॉपिक
  1. Definition and NIST model
  2. Essential characteristics
  3. Evolution: distributed, grid and utility computing
  4. Service models: IaaS, PaaS, SaaS
  5. Deployment models: public, private, hybrid, community
  6. Benefits and challenges
02Unit 2: Virtualisation 5 टॉपिक
  1. Virtualisation concepts and types
  2. Hypervisors: type 1 and type 2
  3. Full virtualisation and para-virtualisation
  4. CPU, memory and I-O virtualisation
  5. Containers and Docker
03Unit 3: Cloud Architecture and Storage 5 टॉपिक
  1. Layered cloud architecture
  2. Data centres
  3. Storage as a service and object storage (Amazon S3)
  4. MapReduce programming model
  5. Hadoop and HDFS
04Unit 4: Resource Management and Security 5 टॉपिक
  1. Service level agreements
  2. Load balancing and resource scheduling
  3. Cloud security challenges
  4. Identity and access management
  5. Data security and encryption
05Unit 5: Cloud Platforms 5 टॉपिक
  1. Amazon Web Services: EC2, S3
  2. Google Cloud and Google App Engine
  3. Microsoft Azure
  4. OpenStack
  5. Serverless computing
Web Technology5 chapters · 6 Months Subject page →
01Unit 1: Introduction to Web and Internet 5 टॉपिक
  1. History of the internet and the web
  2. Protocols: HTTP, HTTPS, FTP
  3. URL, web browser and web server
  4. Client-server architecture
  5. Web development strategies and the web team
02Unit 2: HTML and CSS 6 टॉपिक
  1. HTML document structure, lists, tables and images
  2. Forms and input controls
  3. HTML5 semantic and media elements
  4. CSS selectors, specificity and inheritance
  5. Box model and positioning
  6. Responsive design and media queries
03Unit 3: JavaScript and AJAX 6 टॉपिक
  1. Variables, data types, operators and functions
  2. Objects and arrays
  3. DOM and event handling
  4. Form validation
  5. JSON
  6. AJAX with XMLHttpRequest and fetch
04Unit 4: XML 5 टॉपिक
  1. XML syntax and well-formed documents
  2. DTD
  3. XML Schema
  4. XSLT
  5. DOM and SAX parsers
05Unit 5: Server-side Programming 5 टॉपिक
  1. JDBC: drivers and connecting to a database
  2. Servlet life cycle and request handling
  3. Session tracking: cookies, URL rewriting, HttpSession
  4. JSP elements: directives, scriptlets, expressions
  5. JSP implicit objects and MVC architecture
Artificial Intelligence Lab6 chapters · 6 Months Subject page →
01Exp Group 1: Python for AI 3 टॉपिक
  1. Lists, tuples, dictionaries and functions
  2. NumPy arrays and pandas data frames
  3. Plotting with matplotlib
02Exp Group 2: Uninformed Search 3 टॉपिक
  1. Water jug problem using BFS
  2. Missionaries and cannibals
  3. DFS and depth-limited search
03Exp Group 3: Informed Search 3 टॉपिक
  1. 8-puzzle with A* search
  2. Best-first search
  3. Hill climbing for 8-Queens
04Exp Group 4: Game Playing 2 टॉपिक
  1. Tic-tac-toe with minimax
  2. Alpha-beta pruning
05Exp Group 5: Knowledge Representation and Reasoning 3 टॉपिक
  1. Family tree using facts and rules (Prolog / Python)
  2. Forward and backward chaining
  3. Unification of predicates
06Exp Group 6: Machine Learning Basics 4 टॉपिक
  1. Linear regression
  2. Decision tree classifier on the Iris data set
  3. k-means clustering
  4. Accuracy and confusion matrix
Software Engineering Lab5 chapters · 6 Months Subject page →
01Exp Group 1: Problem Statement and SRS 3 टॉपिक
  1. Problem statement for a sample system
  2. Functional and non-functional requirements
  3. SRS in IEEE 830 format
02Exp Group 2: Project Planning and Estimation 3 टॉपिक
  1. Choosing a process model
  2. Work breakdown and Gantt chart
  3. Effort estimation with COCOMO
03Exp Group 3: Structured Analysis 3 टॉपिक
  1. Context diagram (level-0 DFD)
  2. Level-1 and level-2 DFDs
  3. ER diagram and data dictionary
04Exp Group 4: UML Modelling 4 टॉपिक
  1. Use case diagram
  2. Class diagram
  3. Sequence and collaboration diagrams
  4. Activity and state chart diagrams
05Exp Group 5: Software Testing 3 टॉपिक
  1. Equivalence partitioning and boundary value analysis
  2. Control flow graph and cyclomatic complexity
  3. Test case document and test report
मिनी प्रोजेक्ट4 chapters · 6 Months Subject page →
01Milestone 1: Topic Selection and Synopsis 4 टॉपिक
  1. Forming the team and choosing a topic
  2. Objectives and scope
  3. Choice of front end, back end and tools
  4. Writing the synopsis
02Milestone 2: Requirements and Design 4 टॉपिक
  1. SRS
  2. DFD / UML diagrams
  3. Database design
  4. User interface sketches
03Milestone 3: Development and Testing 3 टॉपिक
  1. Coding module by module
  2. Version control with Git and GitHub
  3. Unit and integration testing
04Milestone 4: Report, Presentation and Viva 3 टॉपिक
  1. Report in the university format
  2. Presentation slides
  3. Live demonstration and viva

About this course

आप यह कर पाएँगे

  • Complete Artificial Intelligence syllabus with regular tests
  • Complete Software Engineering syllabus with regular tests
  • Complete Computer Networks syllabus with regular tests
  • Complete Cloud Computing syllabus with regular tests
  • Complete Web Technology syllabus with regular tests
  • Complete Artificial Intelligence Lab syllabus with regular tests
  • Complete Software Engineering Lab syllabus with regular tests
  • Complete Mini Project syllabus with regular tests

यह किसके लिए है

  • MCA students of Semester 3 (AKTU, Lucknow)
  • Students preparing for UGC-NET / GATE and AI-related job interviews

आपको क्या चाहिए

  • Data structures (graphs, trees) and basic probability
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 does this Artificial Intelligence course follow?

It follows the AKTU (Lucknow) MCA syllabus for Semester 3. If your own university's syllabus differs, the centre follows your university's syllabus and unit order.

Is programming needed for this paper?

The theory paper has no coding, but the Artificial Intelligence Lab uses Python and the centre teaches both together.

How are students tested at the centre?

Unit-wise MCQ tests, numerical / problem practice, previous AKTU question papers and a final mock paper before the semester exam.

Which syllabus does this Software Engineering course follow?

It follows the AKTU (Lucknow) MCA syllabus for Semester 3. If your own university's syllabus differs, the centre follows your university's syllabus and unit order.

Are numericals asked?

Yes. Function points, Halstead measures, cyclomatic complexity and COCOMO numericals are practised with solved examples.

Which syllabus does this Computer Networks course follow?

It follows the AKTU (Lucknow) MCA syllabus for Semester 3. If your own university's syllabus differs, the centre follows your university's syllabus and unit order.

Is subnetting covered in detail?

Yes. IP addressing, subnetting and CIDR are practised with many worked examples, as they are asked in exams and interviews.

Which syllabus does this Cloud Computing course follow?

It follows the AKTU (Lucknow) MCA syllabus for Semester 3. If your own university's syllabus differs, the centre follows your university's syllabus and unit order.

Download the syllabus (PDF)

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