Master Semester III Examinations
Your exhaustive, unit-wise university exam preparation hub. Featuring detailed syllabus notes, high-yield examination questions with 8–10 point structured descriptive answers, and 8+ row comparison tables.
📖 Core Semester III Theory Subjects
5 Subjects • Complete UnitsDeep Learning
Comprehensive course covering mathematical foundations of Artificial Neural Networks, CNNs for computer vision, RNNs/LSTMs for sequential modeling, optimization techniques, and modern deep learning platforms (H2O.ai, Dato GraphLab, Theano, Caffe).
Web Services
Exhaustive coverage of Service-Oriented Architecture (SOA), Web Services operational model, XML-based wire protocols, SOAP messaging & error handling, WSDL service descriptors & lifecycle, UDDI registry data structures & inquiry/publishing APIs, and modern RESTful architectural style with JAX-RS and JSON frameworks.
Object Oriented Software Engineering
Comprehensive engineering course covering Structured System Analysis & Design (SSAD) vs Object-Oriented Analysis & Design (OOAD), SDLC Process Models (Waterfall, Spiral, Prototyping, RAD), Requirements Engineering & SRS (IEEE 830), Unified Modeling Language (UML) structural and behavioral modeling (Class, Object, Use Case, Sequence, Activity, Statechart, Component, Deployment), and the Unified Process (UP) lifecycle.
Mobile Application Development
Comprehensive engineering course covering Android OS architecture (Linux Kernel, HAL, Native Libraries, ART, Application Framework), Android Building Blocks (Activity, Service, BroadcastReceiver, ContentProvider), UI Layout Managers & Widgets, Adapters (BaseAdapter, ArrayAdapter), Menus, Multi-threading & Background processing (runOnUiThread, Handlers, AsyncTask), SQLite database programming (SQLiteOpenHelper, Cursor), JSON parsing, and Location-Based Services (LBS).
Software Testing
Exhaustive engineering course covering Software Testing Life Cycle (STLC), IEEE 829 Test Plans, Defect Life Cycle, White-Box Testing (Logic coverage, Cyclomatic Complexity, Basis Path, Mutation, Data Flow), Black-Box Testing (Equivalence Class Partitioning, Boundary Value Analysis, Cause-Effect graphing, Decision Tables), System & Acceptance Testing (Alpha/Beta, Performance, Regression, Usability, Internationalization), and Test Management & Automation Metrics (DRE, Defect Density).
🧪 Practical Laboratories & Research Courses
5 Practical Courses • Syllabus AssignmentsDeep Learning Laboratory
Hands-on implementations of Neural Networks, CNN image classifiers, U-Net semantic segmentation, and RNN/LSTM sequence models using PyTorch and TensorFlow.
Lab Course based on Web Services
15 practical Dynamic Web Project assignments developing and testing SOAP and RESTful web services in Java.
Lab Course based on Mobile Application Development
20 comprehensive Android practical assignments in Android Studio covering UI widgets, multi-activity intents, adapters, worker threads, SQLite databases, and Location-Based Services.
Lab Course based on Software Testing
11 practical assignments covering defect logging, code coverage, cyclomatic complexity calculations, RTM preparation, ECP/BVA test design, and automated testing tools.
Research Work
Applied scientific research under faculty mentorship culminating in research paper publication / patent filing and formal dissertation report.
• Mandatory outcome: Publish a research paper in a peer-reviewed journal/conference or file a copyright/patent based on the innovative methodology.