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Pune, Maharashtra, India

Duration

4 Years

Information Technology

Lakshmi Narayan College of Technology, Bhopal - Indore Campus
Duration
4 Years
Information Technology UG OFFLINE

Duration

4 Years

Information Technology

Lakshmi Narayan College of Technology, Bhopal - Indore Campus
Duration
Apply

Fees

₹5,00,000

Placement

92.0%

Avg Package

₹5,00,000

Highest Package

₹9,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Information Technology
UG
OFFLINE

Fees

₹5,00,000

Placement

92.0%

Avg Package

₹5,00,000

Highest Package

₹9,00,000

Seats

180

Students

1,200

ApplyCollege

Seats

180

Students

1,200

Curriculum

Comprehensive Curriculum Overview

The Information Technology program at LNCT BHOPAL INDORE CAMPUS follows a structured academic calendar spanning eight semesters over four years. The curriculum integrates core engineering subjects, departmental electives, science electives, and laboratory sessions designed to develop both technical proficiency and practical problem-solving capabilities.

Semester-wise Course Breakdown

Year/Semester Course Code Course Title Credit Structure (L-T-P-C) Prerequisites
Semester I IT101 Engineering Mathematics I 3-0-0-3 None
IT102 Physics for Information Technology 3-0-0-3 None
IT103 Chemistry for Information Technology 3-0-0-3 None
IT104 Introduction to Programming using C 3-0-2-4 None
IT105 Engineering Graphics & Design 2-0-2-4 None
IT106 English Communication Skills 3-0-0-3 None
IT107 Workshop on Engineering Tools 0-2-0-2 None
IT108 Introduction to Information Technology 3-0-0-3 None
IT109 Physical Education & Sports 0-0-0-2 None
IT110 Introduction to Computing 3-0-0-3 None
Semester II IT201 Engineering Mathematics II 3-0-0-3 IT101
IT202 Electrical Engineering Fundamentals 3-0-0-3 None
IT203 Object-Oriented Programming using C++ 3-0-2-4 IT104
IT204 Data Structures & Algorithms 3-0-2-4 IT104
IT205 Database Management Systems 3-0-2-4 IT204
IT206 Computer Organization & Architecture 3-0-0-3 None
IT207 Discrete Mathematical Structures 3-0-0-3 IT101
IT208 Electronics for IT 3-0-0-3 None
IT209 Humanities & Social Sciences 3-0-0-3 None
IT210 Web Technologies & Internet 3-0-2-4 IT203
Semester III IT301 Operating Systems 3-0-2-4 IT206
IT302 Computer Networks 3-0-2-4 IT206
IT303 Software Engineering 3-0-2-4 IT204
IT304 Object-Oriented Analysis & Design 3-0-2-4 IT203
IT305 Advanced Data Structures 3-0-2-4 IT204
IT306 System Programming & Compiler Design 3-0-2-4 IT301
IT307 Mathematical Modeling in IT 3-0-0-3 IT201
IT308 Research Methodology & Project Planning 3-0-0-3 None
IT309 Elective I: Introduction to Data Science 3-0-2-4 IT205
IT310 Elective II: Computer Vision 3-0-2-4 IT204
Semester IV IT401 Database Systems 3-0-2-4 IT205
IT402 Microprocessors & Microcontrollers 3-0-2-4 IT206
IT403 Software Testing & Quality Assurance 3-0-2-4 IT303
IT404 Advanced Computer Networks 3-0-2-4 IT302
IT405 Web Application Development 3-0-2-4 IT210
IT406 Artificial Intelligence & Machine Learning 3-0-2-4 IT305
IT407 Cybersecurity Principles 3-0-2-4 IT302
IT408 Cloud Computing & Virtualization 3-0-2-4 IT301
IT409 Elective III: Mobile App Development 3-0-2-4 IT210
IT410 Elective IV: Human-Computer Interaction 3-0-2-4 IT204
Semester V IT501 Advanced Operating Systems 3-0-2-4 IT301
IT502 Distributed Systems 3-0-2-4 IT302
IT503 Data Mining & Warehousing 3-0-2-4 IT305
IT504 Internet of Things (IoT) 3-0-2-4 IT206
IT505 Big Data Technologies 3-0-2-4 IT305
IT506 Neural Networks & Deep Learning 3-0-2-4 IT406
IT507 Cryptography & Network Security 3-0-2-4 IT407
IT508 DevOps & CI/CD Practices 3-0-2-4 IT303
IT509 Elective V: Natural Language Processing 3-0-2-4 IT406
IT510 Elective VI: Reinforcement Learning 3-0-2-4 IT406
Semester VI IT601 Advanced Data Analytics 3-0-2-4 IT503
IT602 Embedded Systems Design 3-0-2-4 IT402
IT603 Cloud Architecture & Deployment 3-0-2-4 IT408
IT604 Security Auditing & Compliance 3-0-2-4 IT507
IT605 Software Project Management 3-0-2-4 IT303
IT606 Mobile & Web App Security 3-0-2-4 IT405
IT607 Blockchain Technology 3-0-2-4 IT406
IT608 Quantitative Finance & Trading Systems 3-0-2-4 IT501
IT609 Elective VII: Augmented Reality (AR) 3-0-2-4 IT504
IT610 Elective VIII: Game Development 3-0-2-4 IT210
Semester VII IT701 Research & Innovation in IT 3-0-2-4 IT508
IT702 Capstone Project I 0-0-6-6 IT308
IT703 Advanced AI Applications 3-0-2-4 IT506
IT704 Machine Learning in Robotics 3-0-2-4 IT506
IT705 Enterprise Architecture 3-0-2-4 IT501
IT706 IoT & Edge Computing 3-0-2-4 IT504
IT707 Cloud Migration & Optimization 3-0-2-4 IT603
IT708 Cyber Risk Management 3-0-2-4 IT507
IT709 Elective IX: Quantum Computing 3-0-2-4 IT506
IT710 Elective X: Human-Centered AI 3-0-2-4 IT506
Semester VIII IT801 Capstone Project II 0-0-6-6 IT702
IT802 Entrepreneurship & Innovation in IT 3-0-0-3 None
IT803 Internship Program 0-0-6-6 IT702
IT804 Final Project Presentation 0-0-3-3 IT801
IT805 Professional Ethics & Governance 3-0-0-3 None
IT806 Advanced Topics in Information Technology 3-0-2-4 IT703
IT807 Capstone Project Review & Documentation 0-0-3-3 IT801
IT808 Industry Exposure & Networking 3-0-0-3 IT702
IT809 Elective XI: Digital Twin Technologies 3-0-2-4 IT506
IT810 Elective XII: Cybersecurity in Healthcare 3-0-2-4 IT507

Advanced Departmental Elective Courses

Departmental electives are designed to allow students to explore specialized areas within Information Technology based on their interests and career goals. The following courses represent some of the advanced offerings:

Artificial Intelligence & Machine Learning (IT506)

This course introduces students to neural networks, deep learning architectures, natural language processing, and reinforcement learning. Students engage in practical projects involving image classification, sentiment analysis, and game-playing agents using frameworks like TensorFlow and PyTorch.

Cloud Computing & Virtualization (IT408)

Focusing on cloud platforms such as AWS, Azure, and Google Cloud, this course covers virtualization technologies, containerization tools like Docker and Kubernetes, and deployment strategies for scalable applications. Students gain hands-on experience through lab simulations and real-world case studies.

Cybersecurity Principles (IT407)

This course delves into network security protocols, cryptographic techniques, vulnerability assessments, and incident response methodologies. It includes practical exercises on penetration testing, secure coding practices, and compliance standards relevant to industry regulations like ISO 27001.

Internet of Things (IoT) (IT504)

Students learn about sensor networks, embedded systems programming, wireless communication protocols, and real-time data processing for IoT applications. The course emphasizes hands-on development using Raspberry Pi, Arduino, and other microcontrollers.

Data Mining & Warehousing (IT503)

This course explores techniques for extracting patterns from large datasets, building data warehouses, and implementing ETL pipelines. Students work with tools like Apache Spark, Hadoop, and SQL to analyze business intelligence reports and predictive models.

DevOps & CI/CD Practices (IT508)

Students are trained in automation tools such as Jenkins, GitLab CI, and Ansible. The curriculum includes continuous integration, deployment pipelines, infrastructure-as-code concepts, and container orchestration to support agile software development practices.

Neural Networks & Deep Learning (IT506)

This advanced elective focuses on building complex deep learning models for image recognition, language understanding, and time-series forecasting. Students use libraries like TensorFlow and Keras to develop state-of-the-art neural networks and deploy them in production environments.

Blockchain Technology (IT607)

The course covers blockchain fundamentals, smart contract development, consensus algorithms, and decentralized applications (dApps). Students build practical projects using Ethereum, Hyperledger Fabric, and other blockchain platforms to understand real-world use cases in finance, supply chain, and healthcare.

Human-Computer Interaction (IT410)

This course examines user experience design principles, usability testing methodologies, and prototyping tools. Students develop interactive interfaces for mobile and web applications while considering accessibility, cross-platform compatibility, and user-centered design processes.

Advanced Data Analytics (IT601)

Students learn advanced statistical techniques, data visualization methods, and predictive modeling approaches using Python and R. The course emphasizes applying analytics to real-world problems in business intelligence, marketing optimization, and financial risk assessment.

Project-Based Learning Philosophy

The Information Technology program at LNCT BHOPAL INDORE CAMPUS promotes project-based learning as a core component of its educational philosophy. This approach integrates theoretical knowledge with practical experience, encouraging students to solve real-world challenges through innovation and creativity.

Mini-Projects

In the second year, students undertake mini-projects under faculty supervision. These projects typically last 3–6 months and involve selecting a topic related to core subjects or emerging technologies. Students are required to submit progress reports, conduct literature reviews, and present their findings to peers and faculty.

Final-Year Thesis/Capstone Project

The final-year capstone project is a comprehensive endeavor that spans the entire semester. Students form teams of 2–4 members to work on an advanced project aligned with current industry trends or research directions. The project involves:

  • Problem identification and scoping
  • Feasibility study and literature review
  • Design, implementation, and testing phases
  • Documentation and presentation preparation
  • Presentation to industry experts and faculty panel

Mentorship Process

Students are paired with faculty mentors based on their project interests and mentor availability. Mentors guide students through technical challenges, provide feedback on deliverables, and ensure alignment with academic standards. Regular meetings are scheduled weekly or bi-weekly to monitor progress and address concerns.

Evaluation Criteria

Projects are evaluated based on:

  • Technical innovation and feasibility
  • Documentation quality and clarity
  • Presentation effectiveness and peer feedback
  • Overall impact and potential for real-world application
  • Team collaboration and individual contribution

This structured approach ensures that students graduate with strong analytical, problem-solving, and teamwork skills essential for success in the professional world.