Computer Science and Engineering (AIML)

Overview

The Department of Computer Science and Engineering (AIML) at Sree Chaitanya Institute of Technological Sciences (SCITS) has been at the forefront since its inception in 2008, with a commitment to excellence in education. Currently offering an intake of 120 seats for the B.Tech course and 36 seats for the M.Tech course, our department is equipped with state-of-the-art infrastructure to meet the evolving demands of the industry. Our distinguished faculty, comprising experienced educators and technically adept programmers, ensures a rigorous academic environment that prepares students for successful careers in the digital age.

Cutting-Edge Technologies

At SCITS, the CSE department emphasizes cutting-edge technologies essential for the future of computing:

• Artificial Intelligence and Machine Learning (AI & ML): Delve into advanced AI algorithms, machine learning models, and data analytics techniques that drive innovation across industries.

• Data Science and Big Data: Master tools and methodologies for managing and analyzing large datasets, enabling informed decision-making and predictive analytics.

• Cybersecurity: Acquire skills in protecting networks and systems from cyber threats, crucial for safeguarding digital assets in today’s interconnected world.

• Cloud Computing: Explore scalable and efficient computing solutions through cloud technologies and architectures, essential for modern applications and services.

Research and Innovation

Our faculty engages in pioneering research that extends the boundaries of CSE:

• Interdisciplinary Research: Collaborate on projects that integrate CSE with domains such as healthcare, finance, and smart cities, addressing complex societal challenges through technology.

• Industry Partnerships: Partner with leading organizations to apply research insights in practical settings, fostering innovation and entrepreneurship among students.

Career Opportunities

Graduates from our CSE AI & ML program excel in diverse career paths, including:

• AI and Machine Learning Engineer: Develop intelligent systems and algorithms for automation and decision-making.

• Data Scientist: Analyze complex datasets to extract insights and drive data-driven strategies.

• Cybersecurity Analyst: Protect organizations from cyber threats and ensure the integrity of digital infrastructure.

• Software Developer: Design and build scalable software solutions for diverse applications.

Future Prospects

The future of CSE AI & ML at SCITS is characterized by:

• Emerging Technologies: Prepare for emerging fields such as quantum computing, blockchain, and Internet of Things (IoT), shaping the future of technology.

• Global Collaboration: Foster international partnerships for research and academic exchange programs, enriching perspectives and opportunities for students.

• Entrepreneurship: Cultivate entrepreneurial skills through startup initiatives and incubation centers, empowering students to innovate and lead in the global tech ecosystem.

Join Us

Join the vibrant community at SCITS and embark on a transformative journey in Computer Science and Engineering. Explore endless opportunities to innovate, collaborate, and lead in the rapidly evolving world of technology. Discover how our program can empower you to make a meaningful impact in the digital landscape.

Vision:

• To provide high-quality education in order to produce competent and promising technocrats with cutting-edge knowledge, ethical standards and creative ideas in the field of computer science & engineering to suit the industry requirements.

Mission:

• Provide quality learning experiences to ambitious students through implementing effective classroom procedures, active learning teaching methods, and to make them confident, competent and industry ready engineers.
• Empower the graduates with the fundamentals in design and implementation of computational problems through university curriculum and modern research methodologies in collaboration with industries and reputed institutes.
• Strengthening research and development activities through application development, technical events and certification programs in the core areas of computer science engineering.
• To instill professional behavior, strong ethical values, professional suitability and leadership abilities.

Program Educational Objectives (PEOs):

1.PEO – 1: To educate students in fundamental sciences and Computer Science and engineering so that they can meet the issues facing the power industry globally.

2.PEO – 2: To get ready to become a flexible technical engineer who can benefit society in a variety of ways.
3.PEO – 3: To become ready as a capable professional engineer who can solve problems in the real world by working alone, in a team , or as a leader.
4.PEO – 4: To provide lifelong learners with critical thinking, problem solving and reasoning abilities.

Program Specific Objectives (PSOs):

1.PSO – 1: The ability to apply knowledge of mathematics and computer science for solving real world problems and adapting new technologies to become always industry ready.
2.PSO – 2: Apply the relevant technologies and latest software engineering tools to engage in lifelong learning and conduct investigations in computer science engineering to become part of the societal growth.
3.PSO – 3: To implant effective communication skills, ethics and leadership qualities for sustainability.

PO1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2: Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3: Design/Development of Solutions: 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.

PO4: Conduct Investigations of Complex Problems: 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.

PO5: Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6: The Engineer and Society: 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.

PO7: Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9: Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10: Communication: 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.

PO11: Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply the set one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12: Life-long learning: 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.

Dr.Peddi Kishor

HOD CSE-AIML
peddi.kishor@gmail.com
9676445121