NIELIT B Level (Professional Level Computer Course) – Syllabus

NIELIT B Level (Professional Level Computer Course) – Syllabus

B0.1-R5: Basic Mathematics
Provides a strong mathematical foundation including calculus, matrices, vectors, differential and integral methods essential for computing and AI.
B1.1-R5: Management Fundamentals & Information Systems
Introduces management principles, organizational structures, decision-making processes, and the role of information systems in business.
B1.2-R5: Discrete Structures
Covers logic, sets, relations, functions, graphs, trees, and combinatorics used in computer science problem solving.
B1.3-R5: Software Engineering
Explains software development life cycle, requirement analysis, design models, testing strategies, and maintenance practices.
B1.4-R5: Operating Systems
Focuses on OS concepts such as process management, memory management, file systems, scheduling, and security.
B1.5-R5: Data Communications and Computer Networks
Covers data transmission concepts, networking models, protocols, LAN/WAN technologies, and network security basics.
B2.1-R5: Computer Based Statistical & Numerical Methods
Introduces statistical analysis and numerical techniques using computers for solving scientific and engineering problems.
B2.2-R5: Professional & Business Communication
Develops communication skills including technical writing, presentations, interpersonal communication, and workplace ethics.
B2.3-R5: Advanced Database Technologies
Covers advanced database concepts including normalization, transactions, concurrency control, and distributed databases.
B2.4-R5: Computer Graphics & Multimedia
Explains graphics fundamentals, image processing basics, animation concepts, and multimedia system components.
B2.5-R5: IoT & Cloud Services
Introduces Internet of Things architecture, sensors, cloud platforms, deployment models, and real-world applications.
B3.1-R5: Software Project Management
Covers project planning, scheduling, risk management, cost estimation, and quality control in software projects.
B3.2-R5: Artificial Intelligence and Machine Learning
Introduces AI concepts, machine learning algorithms, data preprocessing, model training, and real-world AI applications.
B3.3-R5: Web Technologies
Covers front-end and back-end web development including HTML, CSS, JavaScript, server-side scripting, and databases.
B3.E1-R5: Digital Marketing
Explains digital marketing strategies including SEO, social media marketing, content marketing, and online analytics.
B3.E2-R5: System Modelling & Computer Simulation
Introduces system modeling techniques, simulation tools, and performance evaluation of complex systems.
B3.E3-R5: Distributed and Parallel Computing
Covers distributed systems, parallel architectures, synchronization, and performance optimization techniques.
B3.E4-R5: Data Warehouse and Data Mining
Explains data warehousing architecture, OLAP concepts, data mining techniques, and knowledge discovery.
B3.E5-R5: Software Testing and Quality Assurance
Covers software testing methodologies, test planning, automation basics, defect management, and quality standards.
B3.E6-R5: Digital Image Processing
Introduces image representation, enhancement, filtering, segmentation, and real-world image processing applications.
B3.E7-R5: Accounting & Financial Management System
Provides knowledge of accounting principles, financial systems, budgeting, and computerized accounting tools.
B3.E8-R5: Wireless & Mobile Communication
Explains wireless communication principles, mobile networks, protocols, and modern cellular technologies.
B3.E9-R5: Blockchain Technology
Introduces blockchain fundamentals, distributed ledgers, smart contracts, cryptocurrencies, and use cases.
B-SE-R5: Employability Skills
Develops professional skills including communication, teamwork, problem-solving, ethics, and career readiness.
B-PJ-R5: Major Project
A capstone project where students design, develop, and document a real-world software or technology-based solution.