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    Scholarships & exams

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

    Duration

    2 Years

    Diploma In Computer Engineering

    Shirdi Sai Diploma In Engineering Technology Vizianagaram
    Duration
    2 Years
    Diploma In Computer Engineering DIPLOMA OFFLINE

    Duration

    2 Years

    Diploma In Computer Engineering

    Shirdi Sai Diploma In Engineering Technology Vizianagaram
    Duration
    Apply

    Fees

    ₹2,50,000

    Placement

    94.5%

    Avg Package

    ₹5,50,000

    Highest Package

    ₹12,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    2 Years
    Diploma In Computer Engineering
    DIPLOMA
    OFFLINE

    Fees

    ₹2,50,000

    Placement

    94.5%

    Avg Package

    ₹5,50,000

    Highest Package

    ₹12,00,000

    Seats

    100

    Students

    300

    ApplyCollege

    Seats

    100

    Students

    300

    Curriculum

    Comprehensive Curriculum Overview

    The Diploma In Computer Engineering program at Shirdi Sai Diploma In Engineering Technology Vizianagaram is designed to provide students with a strong foundation in both theoretical and practical aspects of computer engineering. The curriculum is structured over four semesters, with each semester building upon the previous one to ensure a comprehensive understanding of the field.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Pre-requisites
    1CE101Engineering Mathematics I3-1-0-4None
    1CE102Physics for Engineers3-1-0-4None
    1CE103Chemistry for Engineers3-1-0-4None
    1CE104Basic Programming Concepts2-0-2-3None
    1CE105Engineering Drawing2-0-2-3None
    1CE106Basic Electronics3-1-0-4None
    2CE201Engineering Mathematics II3-1-0-4CE101
    2CE202Digital Electronics3-1-0-4CE106
    2CE203Computer Organization3-1-0-4CE106
    2CE204Data Structures2-0-2-3CE104
    2CE205Object-Oriented Programming2-0-2-3CE104
    2CE206Electrical Circuits3-1-0-4CE102
    3CE301Database Management Systems3-1-0-4CE204
    3CE302Computer Networks3-1-0-4CE206
    3CE303Operating Systems3-1-0-4CE204
    3CE304Software Engineering3-1-0-4CE205
    3CE305Signals and Systems3-1-0-4CE201
    3CE306Microprocessors3-1-0-4CE202
    4CE401Artificial Intelligence3-1-0-4CE301
    4CE402Cybersecurity3-1-0-4CE302
    4CE403Embedded Systems3-1-0-4CE306
    4CE404Mobile Application Development2-0-2-3CE205
    4CE405Computer Graphics2-0-2-3CE204
    4CE406Capstone Project0-0-6-6CE301, CE302, CE303, CE304

    Advanced Departmental Elective Courses

    Advanced departmental elective courses in the Diploma In Computer Engineering program at Shirdi Sai Diploma In Engineering Technology Vizianagaram are designed to provide students with in-depth knowledge and specialized skills in emerging areas of the field. These courses are offered in the final semesters and are taught by experienced faculty members who are leaders in their respective domains.

    Artificial Intelligence

    This course introduces students to the fundamental concepts of artificial intelligence, including search algorithms, knowledge representation, machine learning, and neural networks. Students will learn how to design and implement AI systems for various applications, such as natural language processing, computer vision, and robotics. The course includes hands-on projects involving data analysis, model development, and system integration. Faculty members such as Dr. Priya Sharma and Dr. Arvind Gupta lead this course, bringing their extensive research experience to the classroom.

    Cybersecurity

    The cybersecurity course covers essential topics such as network security, cryptography, ethical hacking, and digital forensics. Students will learn how to protect systems and networks from cyber threats, identify vulnerabilities, and develop secure software applications. The course includes practical sessions on penetration testing, security auditing, and incident response. Dr. Meera Patel and Dr. Deepak Singh lead this course, providing students with real-world insights and industry best practices.

    Embedded Systems

    This course focuses on the design and development of embedded systems, which are computer systems integrated into physical devices. Students will learn about microcontrollers, real-time operating systems, sensor integration, and device drivers. The course includes laboratory sessions where students build and test embedded systems for various applications, such as home automation, automotive systems, and industrial control. Dr. Anil Verma and Dr. Sunita Reddy lead this course, bringing their expertise in embedded systems to the classroom.

    Mobile Application Development

    This course teaches students how to develop mobile applications for Android and iOS platforms. Students will learn about user interface design, mobile development frameworks, app deployment, and optimization. The course includes hands-on projects where students build and publish their own mobile apps. Dr. Ramesh Kumar and Dr. Meera Patel lead this course, providing students with practical skills and industry exposure.

    Computer Graphics

    The computer graphics course covers 3D modeling, rendering, animation techniques, and visual effects. Students will learn how to create realistic graphics for games, simulations, and visualizations. The course includes practical sessions using industry-standard software such as Blender and Maya. Dr. Sunita Reddy and Dr. Arvind Gupta lead this course, providing students with creative and technical skills.

    Database Systems and Big Data Analytics

    This course focuses on database design, SQL, NoSQL databases, data mining, and big data technologies. Students will learn how to manage and analyze large datasets using tools such as Hadoop, Spark, and Python. The course includes hands-on projects involving data analysis, visualization, and machine learning. Dr. Priya Sharma and Dr. Deepak Singh lead this course, bringing their industry expertise to the classroom.

    Software Engineering and Project Management

    This course covers software architecture, testing, project planning, and team management. Students will learn how to develop software systems using modern methodologies such as Agile and DevOps. The course includes practical sessions on software design, testing, and project management. Dr. Anil Verma and Dr. Sunita Reddy lead this course, providing students with industry-relevant skills.

    Human-Computer Interaction

    The human-computer interaction course focuses on designing user-friendly interfaces and experiences. Students will learn about usability testing, interaction design, and user research. The course includes practical sessions on prototyping, user testing, and interface design. Dr. Ramesh Kumar and Dr. Meera Patel lead this course, providing students with a deep understanding of user-centered design principles.

    Project-Based Learning Approach

    Project-based learning is a cornerstone of the Diploma In Computer Engineering program at Shirdi Sai Diploma In Engineering Technology Vizianagaram. This approach emphasizes hands-on experience, collaboration, and real-world problem-solving. Students engage in both mini-projects and a final-year capstone project that integrates all concepts learned throughout the program.

    Mini-projects are introduced in the second and third semesters, where students work in teams to solve specific problems or develop small-scale applications. These projects help students apply theoretical knowledge to practical scenarios and develop essential skills such as teamwork, communication, and project management.

    The final-year capstone project is a comprehensive endeavor that allows students to demonstrate their mastery of the field. Students select a project topic based on their interests and career goals, and they work closely with faculty mentors to develop and implement their ideas. The project is evaluated based on technical quality, innovation, presentation, and documentation.

    Faculty mentors are selected based on their expertise in the relevant domain and their ability to guide students through the project development process. Students are encouraged to collaborate with industry partners and research institutions to enhance the relevance and impact of their projects.