APPROVED BY AICTE | PERMANENTLY AFFILIATED TO JNTUK, KAKINADA | ACCREDITED BY NAAC *A+'
About
The Computer Science Engineering department initiated its B.Tech Programme in 2005 with an initial intake of 60 students, which has since expanded to 180 from 2023 onwards. The department has qualified teaching staff with members holding Ph.D. and M.Tech degrees. Engaged in active research, faculty members have contributed to national and international journals and conferences through paper presentations and publications.
The department ensures students have access to top-notch resources, including state-of-the-art laboratories, a well-equipped library, and modern classrooms. These facilities are designed to provide students with both essential knowledge and practical skills. The laboratories are equipped with sophisticated computer systems and software, meeting the academic, research, and consultancy needs.
Dedicated to the overall development of students for challenging careers, the department organizes various activities such as seminars, workshops, conferences, industrial tours, and expert lectures on recent advances and educational technologies. These initiatives aim to keep students abreast of industry trends and emerging technologies.
Since its inception, the department has produced a significant number of graduates who have gone on to achieve success in renowned industries and research organizations. The department maintains strong ties with its alumni, who actively support it in various ways. Regular alumni interactions are organized to inspire current students and foster a sense of community.
The department goes beyond academic curriculum, providing additional training to students in domain-specific skills crucial for campus recruitment, making them industry-ready. Simultaneously, it offers skill development training to faculty and staff, ensuring they stay abreast of evolving industry demands and changing trends in software research.
The Computer Science Engineering department is committed to providing a holistic educational experience, nurturing not only academic excellence but also practical skills and industry relevance. Through a combination of qualified faculty, cutting-edge facilities, and proactive student and alumni engagement, the department strives to prepare students for successful and impactful careers in the dynamic field of computer science.
Vision and Mission
Vision
To produce globally competent, computer professionals and to inculcate the spirit of moral values to make the students good citizens of India.
Mission
Provide a learning ambience to enhance innovations, problem solving skills, leadership qualities, team spirit and ethical responsibilities.
Establish Industry Institute Interaction program to enhance the entrepreneurship skills.
Provide exposure of latest tools and technologies in the area of engineering and technology.
Promote research-based projects/activities in the emerging areas of technology.
Program Outcomes (POs)
PO1 : Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems (Engineering Knowledge)
PO2 : Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences (Problem analysis)
PO3 : Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations (Design/development of solutions)
PO4 : Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions (Conduct investigations of complex problems)
PO5 : Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations (Modern tool usage)
PO6 : Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice (The engineer and society)
PO7 : Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development (Environment and sustainability)
PO8 : Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice (Ethics)
PO9 : Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings (Individual and teamwork)
PO10 : Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions (Communication)
PO11 : Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments (Project management and finance)
PO12 : Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change (Life-long learning).
Program Specific Outcomes (PSOs)
PSO1 : The ability to apply software development life cycle principles to design and develop the application software that meet the needs of society and industry (Software System Design and Development)
PSO2 : The ability to employ modern computer languages, environments, and platforms in creating innovative career paths (Computing and Research ability).
Program Educational Objectives (PEOs)
PEO1 : To provide students with core competencies to enable them to succeed in computer industry profession.
PEO2 : To empower students with skills required to become successful entrepreneurs.
PEO3 : To expose students to tools and techniques of Computer Science that can be used for developing products and solutions for real life problems.
PEO4 : To promote collaborative learning and team work through various professional activities like workshops, seminars and conferences.
PEO5: To motivate and encourage students for higher studies and research activities beneficial for the society.
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Facilities
The Department provides an environment conducive to dynamic learning, offering state-of-the-art resources that facilitate collaborative engagement. Classrooms are meticulously designed to enhance teaching methodologies, emphasizing interactive methods that ensure students actively participate in the learning process, making complex concepts more accessible.
Across various domains of Computer Science Engineering, the department boasts cutting-edge laboratories tailored to specific needs:
Programming Lab
The programming lab serves as a foundational space where students immerse themselves in hands-on experiences with diverse programming languages. This environment hones their coding skills and nurtures problem-solving abilities, laying a robust groundwork for their academic journey.
Web Technologies Lab
In the Web Technologies Lab, equipped with the latest tools and technologies, students explore and experiment with web development. This not only keeps them abreast of current trends but also instills a practical understanding of the ever-evolving field, preparing them for real-world challenges.
Artificial Intelligence Lab
The Artificial Intelligence Lab focuses on applications and algorithms, providing students with invaluable hands-on experience in developing systems and solutions. This exposure ensures that students are well-versed in the rapidly advancing realm of artificial intelligence.
Machine Learning Lab
Dedicated to the exploration of machine learning techniques, the Machine Learning Lab allows students to delve into data-driven decision-making and pattern recognition. This hands-on approach equips them with the skills needed to navigate the intricate landscape of machine learning.
Cyber Security and Data Science Lab
The Cyber Security and Data Science Lab is a versatile space designed for a dual purpose. In Cyber Security, students learn to implement measures that safeguard systems and data against potential threats. In Data Science, students delve into the vast field of data analysis and visualization, gaining practical insights into handling and interpreting large datasets while refining their skills in cybersecurity measures.
The commitment to high-quality education is palpable in the teaching standards upheld by the faculty. The department’s educators, a diverse and experienced team, employ innovative methodologies to ensure that students not only comprehend theoretical concepts but also gain practical insights. Regular interactions between faculty and students contribute to a dynamic learning atmosphere, fostering an environment where questions are encouraged, and critical thinking is nurtured.
Faculty members bring a wealth of knowledge and industry experience to the classroom, guiding students with practical insights, mentorship, and real-world applications. This collaboration between academia and industry ensures that students are well-prepared for the challenges of the professional landscape.
In summary, the Computer Science Engineering department provides students with the resources necessary to excel in their academic journey. The cutting-edge facilities, combined with the experience and dedication of the faculty, contribute to a comprehensive learning experience, preparing students for success in the dynamic and ever-evolving field of computer science.