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BS in Artificial Intelligence

Introduction 

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The BS in Artificial Intelligence, offered by the Computer Science Department, equips the students with an in-depth knowledge about how to transform large and complex scenarios into actionable decisions. The program and its curriculum focus on how complex inputs such as knowledge, vision, language and huge databases can be used to make decisions to enhance human capabilities. The curriculum of this program includes coursework in computing, mathematics, automated reasoning, statistics, computational modeling, introduction to classical artificial intelligence languages and case studies, knowledge representation and reasoning, artificial neural networks, vision and symbolic computation. The program also encourages students to take courses in ethics and social responsibility, with the opportunity to participate in long term projects in which artificial intelligence can be applied to solve problems that can change the world for the better in areas like agriculture, defense, healthcare, governance, transportation, e-commerce, finance and education.

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Programme Mission

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Our aim is to lead in AI education, focusing on technical excellence, critical thinking, and ethics. Our curriculum, grounded in the latest AI trends, prepares graduates for success through hands-on experience in machine learning, natural language processing, and computer vision. We commit to outstanding teaching, research, and service in AI, equipping our students to excel and contribute meaningfully in the fast-paced AI field.

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Graduate Attributes (GAs)

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This program prepares students to attain educational objectives by ensuring that students demonstrate achievement of the following outcomes:

 

  1. Academic Education To prepare graduates as computing professionals.

  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 16 abstraction and conceptualization of computing models from defined problems and requirements

  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

  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

  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

  6. Individual and Team Work Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.

  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.

  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.

  9. Ethics Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.

  10. Life-long Learning Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.

Programme Objectives (POs)

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  • PO-1: Establishing in-depth understanding of theoretical concepts and industry best practices related to Artificial Intelligence.

  • PO-2: Enable graduates to apply their comprehensive knowledge and skills in artificial intelligence (AI) to address complex real-world problems, fostering innovative solutions and advancements in the field.

  • PO-3: Imbuing quest for learning and engaging in continuous professional development in the field of Artificial Intelligence by carrying research and adopting professional practices.

  • PO-4: Developing the ability to work in a multi-disciplinary and multicultural environment in teams incorporating soft skills and maintaining high ethical standards

Entry Criteria 

50% marks in HSSC / Equivalent.

Curriculum 

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