Highlights
Vision
To provide progressive education and flourish the students' ingenuity to be successful professionals impacting the society for a smarter and ethical world.
Mission
- To adopt an engaging teaching–learning process with emphasis on problem-solving, programming, and intelligent systems development skills.
- To promote additional skill development through enhanced and experiential learning.
- To collaborate with industries and professional bodies to make students industry-ready.
- To encourage innovation through multi-disciplinary research and development activities.
- To nurture human values and ethical principles in students, empowering them to contribute meaningfully to society as responsible professionals.
PSO
Program Specific Outcomes(PSO)
- PSO 1: Graduates will demonstrate strong programming and problem-solving abilities for the design, development, and maintenance of software solutions.
- PSO 2: Graduates will be able to identify, formulate, analyze, and solve real-world problems by applying principles of Artificial Intelligence and Machine Learning.
- PSO 3: Graduates will be capable of using computational platforms and execution environments to deploy and manage computing solutions effectively.
PEO
Program Education Objectives(PEOs)
- PEO 1: Graduates will effectively apply problem-solving, communication, and collaborative skills to design and deliver innovative engineering solutions in professional practice.
- PEO 2: Graduates will contribute Artificial Intelligence and Machine Learning expertise grounded in Computer Science and Mathematics as effective members and leaders of multidisciplinary engineering teams.
- PEO 3: Graduates will demonstrate a strong research orientation through engagement in interdisciplinary, cross-domain, and innovation-driven research.
- PEO 4: Graduates will demonstrate social and ethical responsibility by applying engineering knowledge and skills to address societal challenges and contribute to a sustainable and intelligent world.
PO
Program Outcomes
- PO 1: Engineering knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
- PO 2: Problem Analysis: Identify, formulate, and analyse complex engineering problems, reaching substantiated conclusions with consideration for the holistic nature of the problem.
- PO 3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design systems, components, or processes to meet identified needs, with consideration for public health and safety, and cultural, societal, and environmental factors.
- PO 4: Conduct investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge and research methods, including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
- PO 5: Engineering Tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, recognising their limitations, to solve complex engineering problems.
- PO 6: The Engineer and The World: Analyse and evaluate societal and environmental aspects while solving complex engineering problems, considering their impact on sustainability with reference to economy, health, safety, legal frameworks, culture, and the environment.
- PO 7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion, and adhere to relevant national and international laws.
- PO 8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse and multi-disciplinary teams.
- PO 9: Communication: Communicate effectively and inclusively within the engineering community and with society at large, comprehending and writing effective reports and design documentation, and making effective presentations.
- PO 10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
- PO 11: Life-Long Learning: Recognise the need for, and have the preparation and ability for, independent and life-long learning, adaptability to new and emerging technologies, and critical thinking in the broadest context of technological change.
KP
Knowledge Profile
- WK 1: Natural and Social Sciences: A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.
- WK 2: Mathematics and Computing: 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.
- WK 3: Specialist Knowledge: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
- WK 4: Engineering Design and Operations: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
- WK 5: Engineering Practice: Knowledge, including efficient resource use, environmental impacts, whole-life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.
- WK 6: Role of Engineering in Society: Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.
- WK 7: Role of Engineering in Society: Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.
- WK 8: Research Literature and Critical Thinking: Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.
- WK 9: Ethics, Inclusive Behaviour and Conduct: Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc., with mutual understanding and respect, and of inclusive attitudes.
From the HOD's Desk:
At DSCE, we present a stimulating 4-year B.E program in Artificial Intelligence & Machine Learning (AI & ML) designed for ambitious students eager to embark on a fulfilling career in these cutting-edge fields.
AI is a revolutionary technology shaping the future across various industries and human activities. It has significantly altered everyday life, driving a soaring need for professionals skilled in AI & ML. Our curriculum aims to cultivate adept engineers with a robust foundation in computer science, enhanced by comprehensive knowledge and hands-on experience in AI & ML, thus unlocking numerous career prospects. Participants will learn to develop pioneering applications utilizing technologies like Neural Networks, Natural Language Processing, Computer Vision, ML in Production and Generative AI. Our all-encompassing, industry-aligned curriculum, coupled with project-based learning and guidance from seasoned faculty, ensures students are industry-ready. Additionally, we place equal emphasis on research, entrepreneurship, and placements, fostering a holistic approach to career development.
Dr. Vindhya P Malagi
Professor & Head of the Department
E-mail : This email address is being protected from spambots. You need JavaScript enabled to view it.
