B.Tech. Computer Science and Engineering Curriculum

Graduates will be able to:

PO 1: Apply the foundational concepts of mathematics, science and computer engineering to find novel solutions for complex real-life engineering problems.

PO 2: Identify, formulate, review literature and analyse complex computer engineering problems, reaching substantiated conclusions and deriving a coherent logic that can be implemented by computers.

PO 3: Design analytical and computational models for solving complex engineering problems, giving due consideration to issues related to public health and safety, cultural and societal constraints and environmental concerns.

PO 4: Use research-based knowledge, methods, tools and techniques for data collection, designing digital computing systems, analysing and interpreting the results to provide substantiated conclusions.

PO 5: Use appropriate tools to model complex computer engineering problems through the identification of the limitations and creating solutions to predict real-world phenomena.

PO 6: Use appropriate contextual knowledge of computer engineering to review and assess societal, health, legal, cultural, safety and contemporary issues and rationalise the ensuing responsibilities towards society.

PO 7: Adopt computer engineering practices in congruence with societal needs, understand the working practices and their impact on natural resources for sustainable development.

PO 8: Use ethical principles to pursue excellence in developing computer engineering systems and behave appropriately to develop a reliable and trustworthy relationship with others.

PO 9: Function effectively as a reliable and responsible individual and as a member or leader in diverse computer engineering teams and in multidisciplinary settings, thereby placing team goals ahead of individual interests.

PO 10: Communicate effectively by capturing the desirable computer system requirements for preparation of specification documents, writing clear and concise reports such as laboratory files, research papers, thesis and presentation materials.

PO 11: Demonstrate knowledge of computer engineering and management principles for the completion of individual or group projects in multidisciplinary environments.

PO 12: Recognise the evolving technological changes and engage as an independent and life-long learner in both computing and non-computing fields.

PSO 1: Identify applicable tools and techniques related to data science practice, such as data collection, cleaning, analysis, modelling, evaluation and result interpretation and apply them for deriving hidden and meaningful patterns for appropriate actionable insights.

PSO 2: Develop intelligent systems for various real-life domains like healthcare, transportation, finance, etc., using Artificial Intelligence methodologies.

PSO 3: Understand the foundational concepts and techniques to protect computing systems against constantly evolving cybersecurity threats and analyse security breaches and violations of cyber systems and networks to provide appropriate solutions.

PSO 4: Design effective security systems to mitigate risks, threats and vulnerabilities for protecting the organisations against cyber threats.