Vision and Mission Statement of Institute
Vision
We at SIEM aspire to be a globally recognized institute that delivers world-class education to outstanding intellectuals by nurturing their interests, creativity, and passion for lifelong learning. The institute is committed to developing competent professionals with strong ethical values, leadership qualities, and a deep sense of social responsibility, enabling them to contribute meaningfully to society and the nation.
Mission
- To impart knowledge of cutting-edge technologies and promote their effective implementation for solving real-life engineering and societal challenges in a conducive learning environment.
- To establish strong collaborations with nationally and internationally reputed institutes, universities, and industries for sustainable academic growth, research, and innovation.
- To motivate and retain highly skilled, knowledgeable, and dedicated faculty members whose creativity and passion for teaching contribute towards achieving institutional excellence.
- To provide a dynamic platform that nurtures intellectual growth, personality development, innovation, and character building among students.
- To empower students to achieve excellence in their chosen careers while fostering discipline, leadership, ethical values, and a strong sense of citizenship and service to society.
Vision and Mission Statement of Department
Vision of Department
The Department of Information Technology aims to be recognized as a center of excellence in quality education through innovative teaching, advanced learning methodologies, research, and technological innovation. The department strives to develop competent professionals who contribute effectively to the advancement of technology and the betterment of society.
Mission of Department
- To provide world-class infrastructure equipped with modern tools, technologies, and advanced learning resources to create an effective and innovative learning environment.
- To enhance analytical thinking, problem-solving abilities, and technical skills by encouraging young minds through innovative teaching-learning practices and practical exposure.
- To develop competent professionals and entrepreneurs through collaborative learning, industry interaction, research activities, and partnerships with nationally and internationally reputed institutions.
- To contribute to the development of society and the nation through excellence in research, innovation, ethical practices, and sustainable technological advancement.
Programme Educational Objectives (PEO)
Programme Educational Objectives (PEOs) are broad statements that describe the career and professional accomplishments graduates are expected to achieve within a few years after completing the Artificial Intelligence and Data Science programme. These objectives reflect the department’s vision of preparing graduates with strong technical knowledge, problem-solving abilities, professional ethics, and a commitment to lifelong learning.
| PEO | PEO Focus | PEO Statement |
|---|---|---|
| PEO1 | Core Competence | To produce graduates equipped with cutting-edge skills in Artificial Intelligence (AI) and Data Science (DS), with expertise in domains such as Machine Learning (ML), Natural Language Processing (NLP), and Generative AI, enabling them to collaborate effectively in interdisciplinary teams to solve real-world industrial and societal challenges. |
| PEO2 | Problem Solving Skills and Ethics | To empower graduates to think critically, apply mathematical, computational, and ethical frameworks, and design scalable, secure, and fair AI-driven systems. |
| PEO3 | Professionalism and Lifelong Learning | To inculcate the ability to adapt to changing technology through continuous learning and contribute to research, innovation, and entrepreneurship in Artificial Intelligence and Data Science. |
Knowledge and Attitude Profile (WK)
The Knowledge and Attitude Profile (WK) defines the fundamental knowledge, technical competencies, professional values, and ethical principles that engineering graduates are expected to acquire throughout the programme. It provides the academic foundation required to solve complex engineering problems while promoting sustainability, innovation, and responsible engineering practices.
| WK | Description |
|---|---|
| WK1 | A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences. |
| WK2 | Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline. |
| WK3 | A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline. |
| WK4 | Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for accepted engineering practice. |
| WK5 | Knowledge supporting engineering design through efficient resource utilization, sustainability, environmental impacts, whole-life cost, reuse of resources and net-zero carbon concepts. |
| WK6 | Knowledge of engineering practice and modern technologies in the engineering discipline. |
| WK7 | Knowledge of the role of engineering in society, public safety, legal responsibilities and sustainable development. |
| WK8 | Engagement with current research literature, critical thinking and creative approaches to evaluate emerging technologies and engineering issues. |
| WK9 | Knowledge of professional ethics, responsibilities, diversity, inclusion, mutual respect and professional conduct. |
Programme Outcomes (PO)
Programme Outcomes (POs) describe the knowledge, technical skills, professional attitude, and competencies that students are expected to possess upon successful completion of the Bachelor of Engineering in Artificial Intelligence and Data Science. These outcomes ensure graduates are prepared for higher education, research, industry, innovation, entrepreneurship, and lifelong learning.
| PO | Programme Outcome | Description |
|---|---|---|
| PO1 | Engineering Knowledge | Apply mathematics, science, engineering fundamentals and specialization knowledge (WK1–WK4) to solve complex engineering problems. |
| PO2 | Problem Analysis | Identify, formulate, analyze and interpret engineering problems using research literature while considering sustainable development. |
| PO3 | Design / Development of Solutions | Design innovative engineering solutions considering health, safety, environment, society and sustainability. |
| PO4 | Conduct Investigations | Conduct research-based investigations using experiments, modelling and data analysis to derive valid conclusions. |
| PO5 | Engineering Tool Usage | Use modern engineering, AI, Data Science and IT tools effectively while understanding their limitations. |
| PO6 | The Engineer and The World | Evaluate engineering solutions considering environmental, legal, societal, economic and sustainability factors. |
| PO7 | Ethics | Apply professional ethics, human values, diversity and inclusion while adhering to engineering standards. |
| PO8 | Individual and Team Work | Function effectively as an individual and as a member or leader of multidisciplinary teams. |
| PO9 | Communication | Communicate effectively through technical reports, presentations and documentation with engineering professionals and society. |
| PO10 | Project Management and Finance | Apply engineering management principles, project planning and financial decision-making in multidisciplinary environments. |
| PO11 | Life-Long Learning | Recognize the need for lifelong learning, adaptability to emerging technologies and continuous professional development. |
Program Specific Outcomes (PSO)
Program Specific Outcomes (PSOs) describe the specific knowledge, technical skills, and competencies that students are expected to acquire by the end of the programme. These outcomes focus on the discipline specific abilities that enable graduates to analyze, design, develop, and implement innovative computing solutions while addressing professional, ethical, and societal responsibilities.
| PSO | Program Specific Outcome |
|---|---|
| PSO1 | An ability to apply the theoretical concepts and practical knowledge of Information Technology in the analysis, design, development, and management of information processing systems and applications in interdisciplinary domains. |
| PSO2 | An ability to analyze problems, identify and define the computing infrastructure and operational requirements appropriate to their solutions. Graduates should be capable of working with large-scale computing systems. |
| PSO3 | An understanding of professional practices, business processes, ethical values, legal aspects, information security, and social responsibilities associated with Information Technology. |
| PSO4 | Practice effective communication, teamwork, and decision-making skills through the use of appropriate technologies and demonstrate readiness to undertake professional responsibilities. |