Department of Computer Science

Program Educational Objectives (PEOs)

  • PEO 1: Contribute effectively to Computer Science and software development industry by the application of requisite technical skills.
  • PEO 2: Demonstrate advancement in the field of Computer Science and software development industry by continually enhancing their knowledge and skills.
  • PEO 3: Exhibit ethical and moral values and contribute positively towards the society.

Program Learning Outcomes (PLOs) or Graduate Attributes (GAs)

  • PLO 1: Academic Education: To prepare graduates as computing professionals
  • PLO 2: Knowledge for Solving Computing Problems: Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.
  • PLO 3: Problem Analysis: Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
  • PLO 4: Design/ Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
  • PLO 5: Modern Tool Usage: Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
  • PLO 6: Individual and Teamwork: Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
  • PLO 7: Communication: Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
  • PLO 8: Computing Professionalism and Society: Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice
  • PLO 9: Ethics: Understand and commit to professional ethics, responsibilities, and norms of professional computing practice
  • PLO 10: Life-long Learning: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional

Department of Software Engineering

Program Educational Objectives (PEOs)

  • PEO 1: Contribute effectively to software development industry by the application of requisite skills.
  • PEO 2: Engage in advancement in the field of software engineering by continually enhancing their technical, analytical/ communication skills and working with multi-disciplinary teams.
  • PEO 3: Exhibit ethical and moral values and contribute positively towards the society.

Program Learning Outcomes (PLOs) or Graduate Attributes (GAs)

  • PLO 1: Academic Education: To prepare graduates as computing professionals
  • PLO 2: Knowledge for Solving Computing Problems: Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.
  • PLO 3: Problem Analysis: Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
  • PLO 4: Design/ Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
  • PLO 5: Modern Tool Usage: Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
  • PLO 6: Individual and Teamwork: Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
  • PLO 7: Communication: Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
  • PLO 8: Computing Professionalism and Society: Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice
  • PLO 9: Ethics: Understand and commit to professional ethics, responsibilities, and norms of professional computing practice
  • PLO 10: Life-long Learning: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional

Department of Applied Computing Technologies

Program Education Objectives (PEO) for BS Artificial Intelligence

  • PO-1: Become professionals with strong computing and AI skills to analyze and solve real-world challenges in various domains.
  • PO-2: Foster innovative and ethical approaches and pursue career growth by continually enhancing their knowledge and skills.
  • PO-3: Demonstrate effective communication, teamwork, and leadership skills incorporated with cutting-edge technologies to contribute positively towards industry and society.

The PLOs for BS AI are as follows:

  • PLO 1: Academic Education
  • PLO 2: Knowledge for Solving Computing Problems
  • PLO 3: Problem Analysis
  • PLO 4: Design/Development of Solutions
  • PLO 5: Modern Tool Usage
  • PLO 6: Individual and Teamwork
  • PLO 7: Communication
  • PLO 8: Computing Professionalism and Society
  • PLO 9: Ethics
  • PLO 10: Life-long Learning

Program Education Objectives (PEO) for BS Data Science

  • PO-1: Performing professional roles by applying their acquired knowledge and problem-solving skills of computing and data science.
  • PO-2: Practicing in the area of Data Science in a socially and ethically responsible way by working in multi-disciplinary settings with strong communication and interpersonal skills.
  • PO-3: Demonstrating lifelong learning skills in Data Science and applied disciplines.

The PLOs for BSDS are as follows:

  • PLO 1: Academic Education
  • PLO 2: Knowledge for Solving Computing Problems
  • PLO 3: Problem Analysis
  • PLO 4: Design/Development of Solutions
  • PLO 5: Modern Tool Usage
  • PLO 6: Individual and Teamwork
  • PLO 7: Communication
  • PLO 8: Computing Professionalism and Society
  • PLO 9: Ethics
  • PLO 10: Life-long Learning

Program Education Objectives (PEO) for BS Cyber Security

  • PO-1: Performing professional roles with skills and knowledge acquired during his/her studies to solve complex computing problems in real-world settings.
  • PO-2: Practicing in a variety of cyber security disciplines in a socially and ethically responsible way.
  • PO-3: Demonstrating sustained learning and adapting to evolving fields through continued professional development and self-study.

The PLOs for BS Cyber Security are as follows:

  • PLO 1: Academic Education
  • PLO 2: Knowledge for Solving Computing Problems
  • PLO 3: Problem Analysis
  • PLO 4: Design/Development of Solutions
  • PLO 5: Modern Tool Usage
  • PLO 6: Individual and Teamwork
  • PLO 7: Communication
  • PLO 8: Computing Professionalism and Society
  • PLO 9: Ethics
  • PLO 10: Life-long Learning