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    support@collegese.com
    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Information Technology

    JAWAHARLAL INSTITUTE OF TECHNOLOGY BORAWAN
    Duration
    4 Years
    Information Technology UG OFFLINE

    Duration

    4 Years

    Information Technology

    JAWAHARLAL INSTITUTE OF TECHNOLOGY BORAWAN
    Duration
    Apply

    Fees

    ₹8,00,000

    Placement

    92.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹12,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Information Technology
    UG
    OFFLINE

    Fees

    ₹8,00,000

    Placement

    92.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹12,00,000

    Seats

    120

    Students

    350

    ApplyCollege

    Seats

    120

    Students

    350

    Curriculum

    Course Structure Overview

    The Information Technology program at JAWAHARLAL INSTITUTE OF TECHNOLOGY BORAWAN is structured over eight semesters, with each semester comprising approximately 15-16 weeks of instruction. The curriculum balances foundational science subjects, core engineering principles, and specialized electives to ensure a well-rounded education that prepares students for both industry roles and further academic pursuits.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Pre-requisites
    ICS101Introduction to Programming using Python3-0-2-4None
    IMAT101Mathematics I3-0-0-3None
    IPHY101Physics I3-0-0-3None
    ICHM101Chemistry I3-0-0-3None
    IENG101English Communication2-0-0-2None
    IECO101Economics for Engineers3-0-0-3None
    IICS201Data Structures and Algorithms3-0-2-4CS101
    IIMAT201Mathematics II3-0-0-3MAT101
    IIPHY201Physics II3-0-0-3PHY101
    IICHM201Chemistry II3-0-0-3CHM101
    IIENG201Technical Writing and Presentation2-0-0-2ENG101
    IIICS301Database Management Systems3-0-2-4CS201
    IIIMAT301Mathematics III3-0-0-3MAT201
    IIICSE301Computer Organization and Architecture3-0-2-4CS201
    IIIECO301Microeconomics3-0-0-3ECO101
    IVCS401Operating Systems3-0-2-4CSE301
    IVMAT401Mathematics IV3-0-0-3MAT301
    IVCSE401Software Engineering3-0-2-4CS301
    VCS501Machine Learning3-0-2-4CS201, MAT301
    VCSE501Cybersecurity and Network Security3-0-2-4CS401
    VECO501Macroeconomics3-0-0-3ECO301
    VICS601Web Technologies3-0-2-4CS501
    VICSE601Mobile Application Development3-0-2-4CS201
    VIICS701Data Analytics and Business Intelligence3-0-2-4CS501
    VIICSE701Internet of Things (IoT)3-0-2-4CS401
    VIIICS801Capstone Project0-0-0-8CS701
    VIIICSE801Internship0-0-0-4CS601

    Detailed Elective Course Descriptions

    Advanced departmental electives are offered in the later semesters to allow students to specialize and explore niche areas of interest. These courses are designed to align with current industry demands and emerging technologies.

    • Machine Learning: This course delves into supervised and unsupervised learning algorithms, neural networks, deep learning architectures, and reinforcement learning techniques. Students gain hands-on experience through practical assignments and real-world datasets.
    • Cybersecurity and Network Security: The course covers cryptographic principles, network protocols, secure coding practices, and incident response strategies. It includes labs on penetration testing and vulnerability analysis.
    • Software Engineering and DevOps: This elective focuses on agile methodologies, continuous integration/deployment pipelines, containerization with Docker, and cloud infrastructure management using AWS/Azure platforms.
    • Web Technologies: Students learn modern web development frameworks such as React.js, Angular.js, Node.js, and database integration. Emphasis is placed on responsive design and cross-platform compatibility.
    • Mobile Application Development: This course covers both Android (Java/Kotlin) and iOS (Swift) platforms, including UI/UX design principles, app store deployment, and mobile security considerations.
    • Data Analytics and Business Intelligence: Students are introduced to data visualization tools like Tableau, Power BI, and Python libraries such as Pandas and NumPy. They learn how to extract insights from large datasets for business decision-making.
    • Internet of Things (IoT): The course explores sensor networks, embedded systems programming, and smart city applications. Labs involve building IoT projects using Raspberry Pi and Arduino platforms.
    • Quantum Computing Fundamentals: An introductory course covering quantum mechanics, qubits, quantum algorithms, and current developments in quantum computing hardware and software.
    • Blockchain Technologies: Students study distributed ledger systems, smart contracts, cryptocurrency frameworks, and decentralized applications (dApps) using platforms like Ethereum and Hyperledger Fabric.
    • User Experience Design: This course emphasizes human-centered design principles, usability testing, prototyping tools (Figma, Sketch), and accessibility standards in digital product development.

    Project-Based Learning Approach

    Project-based learning is a cornerstone of the Information Technology program at JAWAHARLAL INSTITUTE OF TECHNOLOGY BORAWAN. It fosters critical thinking, teamwork, and practical application of theoretical concepts.

    The curriculum includes mandatory mini-projects in the third and fifth semesters, followed by a final-year capstone project that serves as the culmination of the student's academic journey. Mini-projects are typically completed in teams of 3-5 students and are evaluated based on creativity, technical execution, documentation quality, and presentation skills.

    For the capstone project, students select a topic aligned with their interests or industry needs. They are paired with faculty mentors who guide them through the research phase, implementation, testing, and final documentation process. Projects often result in patents, publications, or startup ideas.

    Evaluation criteria for projects include originality, feasibility, impact, innovation, and adherence to academic standards. Students must submit progress reports at regular intervals and present their findings during internal review sessions and public showcases.