Syllabus - MBA 3rd Sem. - I.T. Group
SOFTWARE ENGINEERING & MANAGEMENT (BMB IT 01)
Unit - I: Introduction to Information System Development: Overview of System Analysis and Design; Business System Concepts; Categories of Information Systems; Strategies for System Development; Implementation and Evaluation of Systems; Managing the Application Development Portfolio.
Unit - II: Analysis Techniques & Tools: Study of Existing Systems- Information Requirement Analysis, System Documentation; Structured Analysis - Data Flow Tools: Data Flow Diagrams (DFD), Data Dictionary Concepts; Application Prototype Development - Steps, Uses, Tools, and Strategies; Computer-Aided System Tools (CASE); Project Planning Fundamentals- Cost Estimation, Work and Resource Estimation, Risk Analysis in Software Projects.
Unit - III: System Design and Data Management: Principles of System Design; Input-Output Design for Business Applications; Design of Online Catalogues; File Organization and Design Techniques; Database Concepts and Design.
Unit - IV: Systems Analysis and Design in E-Commerce: E-Commerce Models: B2B, B2C, and C2C; Advantages and Disadvantages of E-Commerce Systems; E-Commerce System Architectures; Security Considerations in E-Commerce.
Unit - V: Business System Development and Implementation: System Testing and Quality Assurance; Documentation for Systems; Implementation and Development Processes; Hardware and Software Selection Criteria; System Maintenance and Support. Security Control and Auditing: Security and Auditing of Information Systems; Objectives and Techniques of Information System Controls; Auditing Information Systems; Disaster Recovery and Business Process Continuity Planning.
EMERGING TECHNOLOGIES FOR BUSINESS (BMB IT 02)
Unit - I: Foundations of Digital & Emerging Technologies: Evolution of technology and the Fourth Industrial Revolution (Industry 4.0); Introduction to digital transformation in business; Overview of enabling technologies and business drivers; Human-machine interaction; future trends in business technology adoption; Introduction to programmable networks, devices, and automation.
Unit - II: Data Science, Big Data & Cloud Computing: Understanding data, information, data value chain, and types; The data pipeline: collection, cleaning, storage, analysis, curation, and visualization; Big Data: key concepts and business use cases; Role of data science in business analytics and decision- making; Cloud Computing: fundamentals, service models (IaaS, PaaS, SaaS), deployment models; Cloud platforms for data storage, management, and scalable analytics.
Unit - III: Artificial Intelligence, IoT & Computer Vision: Artificial Intelligence (AI): machine learning, deep learning, business applications; IoT: architecture, devices, enabling networks, and business implementations; Use of IoT in supply chain, healthcare, smart cities, manufacturing; Computer Vision: fundamentals, business applications in quality control, retail, and automation; Integration of AI & IoT for intelligent products and smart services.
Unit - IV: Blockchain, 3D Printing & Other Disruptive Technologies: Blockchain fundamentals: distributed ledgers, smart contracts, business applications (finance, supply chain, traceability); Real-world challenges and regulatory considerations for blockchain adoption; 3D Printing (Additive Manufacturing): technology, business use cases, supply chain impact, mass customization; Survey of additional emerging technologies (e.g., neuromorphic computing, quantum computing, edge computing) AR, VR, MR & Virtual Try-On in Business: Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR): differences, technologies, and development; Immersive experiences in business: marketing, training, product design, simulation; Virtual Try-On: concepts, enabling technologies (AR/AI), applications in retail, fashion, beauty, home décor; Data-driven personalization and customer engagement via immersive technologies; Challenges and opportunities of implementing immersive solutions
Unit - V: Ethics, Security, Sustainability & Leadership in Emerging Tech: Data privacy, security, and compliance (GDPR, other regulations); Cybersecurity issues in cloud, AI, IoT, and blockchain adoption; Ethics and bias in AI, big data, and immersive technologies; Sustainable technology adoption and digital responsibility; Leadership and future workplace skills: managing innovation, change management, digital strategy.
DATABASE MANAGEMENT SYSTEM (BMB IT 03)
Unit - I: Introduction to Database Systems: Basic concepts: Data, information, fields, records, files, databases; Evolution and need for database systems in business; Data models: Hierarchical, network, relational, object-oriented; File-oriented systems vs. Database systems; Three-layered architecture of DBMS; Applications and advantages/disadvantages of DBMS
Unit - II: Data Modelling & Database Design: Entity-Relationship (ER) Model - Entities, attributes, relationships, constraints, ER diagrams, extended features (generalization, specialization, aggregation); Relational database model - Structure, keys (primary, foreign), integrity constraints, Normalization (1NF, 2NF, 3NF, BCNF); Relational schema and table design; Role and responsibilities of the Database Administrator (DBA)
Unit - III: Relational Query Languages: Structured Query Language (SQL) -Data Definition Language (DDL), Data Manipulation Language (DML), Creating, altering, and deleting tables, Data types, constraints, aggregate functions, Joins, sub-queries, views, transaction control commands (commit, rollback); Relational algebra and calculus - Operators: Selection, projection, join, set operations
Unit - IV: Database Implementation & Management: Database storage and physical structures - Indexing, B-trees, hashing; Query processing and optimization - Evaluation strategies, query cost analysis; Backup, recovery, and disaster management; Concurrency control: Locking, timestamping, deadlocks; Transaction management and ACID properties
Unit - V: Security, Authorization, and Advanced Topics: Database security: Authentication, authorization, privileges, threats; Auditing, access controls, violation handling; Data integrity and constraints; Distributed databases and client-server architecture basics; Introduction to data warehousing, OLAP, OLTP, and data mining concepts and e-commerce. Practical Applications & Case Studies: Use of commercial and open-source DBMS (e.g., MySQL, Oracle, SQL Server); Case studies from finance, marketing, HR, retail, sectors; Designing and demonstrating a relational database for a business use case.
