Placement GALLERY Alumini MANDATORY DISCLOSURES STAKEHOLDER
Majhighariani Institute Of technology & Science Sriram Vihar, Rayagada - 765017, Orissa, India
The Computer Science Department focuses on educating students about the theory, development, and application of computing technologies. It offers courses and programs that cover a wide range of topics such as algorithms, programming languages, artificial intelligence, data structures, machine learning, software engineering, and cybersecurity. The department aims to equip students with the skills needed to innovate and solve complex real-world problems using technology.
"Shaping Tomorrow with Code and Knowledge."
With India being a hub for top IT firms like Google, Microsoft, Amazon, and Infosys, CSE graduates have limitless opportunities to work with cutting-edge technologies and contribute to innovative solutions.
"To be a globally recognized leader in Computer Science Engineering, fostering innovation, excellence, and social impact through cutting-edge research, transformative education, and collaborative partnerships."
• Provide a world-class education that equips students with a strong foundation in the field of computer science engineering and problem-solving capability.
• Conduct impactful research at the forefront of computer science and contribute to technological advancements.
• Ethical and Responsible Computing.
• Establish and strengthen partnerships with industry leaders.
• Cultivate a culture of lifelong learning among students, faculty, and staff.
The Engineering Programming Lab is designed to introduce students to fundamental programming concepts and enhance their problem-solving skills through hands-on coding experience. In this lab, students gain proficiency in various programming languages such as C, C++, Java, Python, and more.
This lab equips students with the programming skills essential for tackling complex engineering problems and prepares them for careers in software development, automation, and data analysis.
The Computer Architecture and Organisation & Network Simulation Lab offers students practical exposure to the inner workings of computer systems and network simulations. This lab combines theoretical concepts with hands-on experience to understand both the design and functionality of computer systems and the dynamics of network communication.
This lab helps students develop a strong foundation in both computer architecture and network systems, preparing them for careers in systems design, network engineering, and IT infrastructure.
The Web Development Lab is designed to equip students with the essential skills needed to build and maintain modern, dynamic websites and web applications. In this lab, students gain hands-on experience with both front-end and back-end technologies, learning how to create responsive and interactive web solutions.
This lab prepares students for a career in web development by providing practical exposure to the latest tools and technologies in the field, ensuring they are ready to build modern, scalable websites and applications.
The IT Lab is designed to provide students with practical experience in Information Technology, focusing on foundational skills required for IT professionals. The lab offers hands-on exposure to a range of software, hardware, networking, and database management tools that are essential for a successful career in IT.
The IT Lab helps students build a strong foundation in IT essentials, equipping them with the skills needed for a wide range of careers in information technology, systems management, and software development.
The Database Engineering Lab focuses on providing students with hands-on experience in database design, management, and optimization. It is designed to enhance students' understanding of relational and non-relational databases, as well as techniques for efficient data storage, retrieval, and manipulation.
This lab prepares students for careers in database administration, software development, and data analysis, providing them with the tools and techniques needed to manage and optimize large-scale data systems.
The Central Computing Lab is a hub for students to gain hands-on experience with a variety of computing resources, tools, and technologies used in the field of computer science and engineering. It provides access to high-performance computing systems, software applications, and networked environments to support academic and research activities.
The Central Computing Lab serves as an essential resource for students, providing them with the tools and environment needed to tackle complex computational problems, conduct research, and develop software applications for various domains.
Email ID: [email protected]
The Department of Computer Science & Engineering is dedicated to providing outcome-based education through a high-quality teaching-learning process, meaningful interactions between faculty and students, state-of-the-art laboratories, and a team of well-qualified faculty members. Our department strives to achieve its vision of becoming a center of excellence in technical education.
We are committed to fostering the all-round development of our students by organizing guest lectures, seminars, workshops, conferences, and career service events, all led by industry experts. These initiatives ensure that our students are highly motivated and in demand by top recruiters for employment opportunities.
Our department offers a platform for students to enhance their capabilities, communication skills, and employability. We believe that the teaching-learning process, combined with practical experience gained through Industrial Training in renowned organizations, prepares our students to tackle the challenges of the software industry.
Beyond mastering the theoretical concepts of computer science and practical skills, our focus is on preparing students to engage in research through minor and major projects offered within the curriculum. These projects span a wide range of areas, including algorithms, parallel computing, computer security, artificial intelligence, computer networks, and interdisciplinary fields like human-computer interaction and applied machine learning.
Programs |
Intake |
Fee Structure |
Syllabus |
---|---|---|---|
Computer Science And Engineering |
120 Seats |
67,000 |
Designation- Principal Cum Head (CSE)
Designation- Associate Professor
Designation- Assistant Professor
Designation- Assistant Professor
Designation- Assistant Professor
Designation- Assistant Professor
Designation- Assistant Professor
Designation- Assistant Professor
Designation- Assistant Professor
Designation- Assistant Professor
Designation- Assistant Professor
Designation- Assistant Professor
Designation- Teaching Assistant