Knowledge Engineering

Sl.No	Courses	Detailed Syllabus
1	B.E Computer Science and Engineering - 2013-2014(CBC)
2	B.E. Computer Science and Engineering 2014-2015 (OBE)
3	B.E. Computer Science and Engineering 2015-2016 (CBCS)
4	B.E. Computer Science and Engineering 2016 - 2017 (CBCS)
5	B.E. Computer Science and Engineering 2017-2018 (CBCS)
6	B.E. Computer Science and Engineering 2018-2019 (CDIO)
7	B.E. Computer Science and Engineering 2022-2023
8	B.E. Computer Science and Engineering(Artificial Intelligence and Machine Learning) 2024-2025
9	M.E. Computer Science and Engineering 2015-2016
10	M.E. Computer Science and Engineering 2016-2017
11	M.E. Computer Science and Engineering 2018 - 2019
12	M.E. Computer Science and Engineering 2022 - 2023

PEO1: Graduates will be able to perform in technical/managerial roles ranging from design, development, problem solving to production support in software industries and R&D sectors.
PEO2: Graduates will be able to successfully pursue higher education in reputed institutions.
PEO3: Graduates will have the ability to adapt, contribute and innovate new technologies and systems in the key domains of Computer Science and Engineering.
PEO4: Graduates will be ethically and socially responsible solution providers and entrepreneurs in Computer Science and other engineering disciplines.

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, 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 needfor sustainable development.
PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9. Individual and team work: 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 these to 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.

PSO1: (Cognitive Outcome)
Ability to solve complex Knowledge Engineering problems by building systems across various domains including Systems Engineering, Software Development & Engineering, Networks & Security, Data Mining and Artificial Intelligence.
PSO2: (Skill Outcome)
Ability to apply technical and research based skills learnt through professional society events, certification programs, projects and/or lab exercises to provide sustainable solutions to Computer Science and Engineering problems related to the society and environment.
PSO3: (Attitudinal and Behavioral Outcome)
Ability to practice as an ethical Software Engineer and/or Researcher in the evolving disciplines of Computer Science and Engineering and its allied application domains by employing soft and project management skills learnt through internships, project work and/or collaborative projects with industry.

PEO1: Graduates will be able to successfully pursue doctoral research in Computer Science, Engineering and allied disciplines.
PEO2: Graduates will have an ability to contribute significantly to contemporary research domains in Computer Science and Engineering through publications, innovative products or patents.
PEO3: Graduates will have successful teaching/research careers in industry or academia.
PEO4: Graduates will be able to establish companies or lead teams/organizations to solve society relevant problems.

1. Ability to discriminate, evaluate, analyze and synthesize existing and new knowledge, and integration of the same for enhancement of knowledge in Computer Science and Engineering.
2. Ability to critically analyze complex problems and apply independent judgment for fusing information to conduct research in a wider theoretical, practical and policy context in Computer Science and Engineering.
3. Ability to think laterally and originally to identify, formulate and solve an engineering problem in Computer Science and Engineering and effectively utilize appropriate scientific and engineering techniques and methodologies in the problem solving process.
4. Ability to apply appropriate research methodologies, techniques and tools, design, conduct experiments, analyze and interpret data, demonstrate higher order skill and contribute individually or in groups to the development of technological knowledge in Computer Science and Engineering.
5. Ability to apply usage of tools from optimization, probability, statistics, simulation, and engineering economic analysis, including fundamental applications of those tools in IT industry involving uncertainty and scarce or expensive resources.
6. Ability to possess knowledge and understanding of group dynamics, recognize opportunities and contribute positively to collaborative-multidisciplinary scientific research, demonstrate a capacity for self-management and teamwork, decision-making based on open-mindedness, objectivity and rational analysis in order to achieve common goals.
7. Ability to develop diverse technical knowledge and skills to formulate problems and projects and to plan a process for solution including engineering economic analysis for project which involving uncertainty and scarce or expensive resources.
8. Ability to comprehend the complex engineering problems and write effective reports and design documentation by adhering to appropriate standards, make effective presentations, and give and receive clear instructions.
9. Ability to engage in life-long learning by spotting contemporary research domains and to make innovative contributions to these domains with a high level of enthusiasm and commitment to improve knowledge and competence continuously
10. Ability to understand the relevance of the research to the society by the ethical and economic connotations of research outcomes on professional practices and an understanding of responsibility to contribute to the community for sustainable development of society.
11. Ability to review and consolidate learning, to evaluate performance, to plan future learning based on past learning experience and self-learning.