CSE-AIML Department Vision, Mission, PEOs and PSOs

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Vision, Mission, PEOs, PSOs,POs, WKs and SDGs

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Vision

To be a Centre of excellence in Artificial Intelligence and Machine Learning by nurturing competent professionals, fostering innovation, research, and entrepreneurship, and contributing to industry, academia, and societal development with ethical and environmental responsibility.

Mission

Mission 1: To impart high-quality technical education integrated with rigorous academic learning while fostering innovation, creativity, and problem-solving skills in the field of Artificial Intelligence and Machine Learning.
Mission 2: To create a research-driven and innovative environment in Artificial Intelligence and Machine Learning through collaboration with academia, industry, government, and experts, while promoting research, innovation, and entrepreneurship among students and faculty.
Mission 3: To apply Artificial Intelligence and Machine Learning techniques to address real-world challenges and contribute to societal and national development, while encouraging students to uphold ethical values and responsible use of technology.

Program Educational Objectives (PEOs)

PEO 1: To provide students with a solid foundation in mathematics, engineering, basic science fundamentals required to solve computing problems and also to pursue higher studies and research
PEO 2: To train students with good Computer Science and Engineering breadth so as to comprehend, analyze, design and create innovative computing products and solutions for real life problems
PEO 3: To inculcate in students professional and ethical attitude, communication skills, teamwork skills, multi-disciplinary approach and an ability to relate computer engineering issues with social awareness.

Program Specific Outcomes (PSOs)

PSO 1: To provide effective and efficient real time solutions using acquired knowledge in various domains to crack problem using suitable mathematical analysis, data structure and suitable algorithm.
PSO 2: To develop environmental and sustainable engineering solution having global and societal context using modern IT tools
PSO 3: To exhibit professional and leadership skills with ethical values dealing diversified projects with excellent communication and documentation qualities

Engineering Program Outcomes (POs)

The Program Outcomes define the knowledge, skills, and attitudes that engineering graduates should possess by the time of graduation. These outcomes prepare students to effectively contribute to the engineering profession and address complex challenges in a global context.

Engineering Knowledge

Apply knowledge across disciplines

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.

WK1 WK2 WK3 WK4

Problem Analysis

Identify and analyze complex problems

Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.

WK1 WK2 WK3 WK4

Design/Development of Solutions

Create innovative engineering solutions

Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.

WK5

Conduct Investigations

Research-based problem solving

Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.

WK8

Engineering Tool Usage

Apply modern tools and techniques

Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.

WK2 WK6

The Engineer and The World

Consider societal and environmental impact

Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.

WK1 WK5 WK7

Ethics

Adhere to ethical principles and values

Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.

WK9

Individual and Team Work

Function effectively in teams

Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

Communication

Communicate effectively and inclusively

Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.

Project Management and Finance

Apply management principles

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.

Life-Long Learning

Commit to continuous learning

Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.

WK8

Knowledge and Attitude Profile (WK)

It is a framework used in Indian engineering education (NBA accreditation) to detail the specific types of knowledge, skills, and attitudes expected of graduates, supplementing traditional Program Outcomes (POs) with nine detailed profiles (WK1-WK9) covering foundational sciences, math, specialist engineering, design, practice, societal roles, research, and ethics, to ensure comprehensive graduate competency

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, statisticsand 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 the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
WK5: 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.
WK6: Knowledge of engineering practice (technology) in the practice areas in theengineering discipline.
WK7: Knowledge of the role of engineering insociety and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer topublic safety and sustainable development.
WK8: 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.
WK9: Ethics, inclusive behavior 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 andrespect, and of inclusive attitudes

Admissions Open 2025