B. Tech. in Computer Science and Engineering
The four-year program provides a scientific and practical approach to computation and its applications. It enables the students to design hardware and software solutions mapped to real-world scenarios. Besides acquiring skills in programming languages such as C, Python, C++, JAVA etc., the students also learn the core functionalities of operating systems, microprocessors, databases, computer networks, software development life cycles, and artificial intelligence. Students are also exposed to business economics and entrepreneurship skills to enable them to run their own enterprises if needed.
Computer engineers find their way into the exciting and ever-changing domains of software, aerospace and defence. The scope is big for research and higher studies as well as entrepreneurship, and many have made it to the mecca of techies, the Silicon Valley. The demand for computer engineers is always on the rise as every field of engineering is highly dependent on computer-aided design and manufacturing. With the spread of automation, connected computing and artificial intelligence, our graduates are set to change the world with their contributions.
Programme Educational Objectives (PEOs):
Our graduates will
PEO1: Our graduates will be able to pursue as professionals who will apply their technical knowledge and critical reasoning skills to solve emerging problems in different areas of Computer Science.
PEO2: Our graduates will be able to advance themselves progressively and use emerging technologies in Computer Science to develop quality and sustainable solutions.
PEO3: Our graduates will be able to apply skills of leadership, effective communication and team work to fulfill responsibilities to society, holding on to ethical values.
Programme Outcomes (POs):
Engineering Graduates will be able to:
PO1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization as specified to the solution of complex engineering problems.
PO2: Problem Analysis: Identify, formulate, review 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 need for 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.
Programme Outcomes (POs):
[For the UG batches inducted from the year 2024 onwards.]
PO1: Engineering Knowledge: 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: 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, statistics and 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.
PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering
problems reaching substantiated conclusions with consideration for sustainable development.
PO3: Design/Development of 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.
PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering
problems using research-based knowledge including design of experiments, modelling, analysis &
interpretation of data to provide valid conclusions.
PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern
engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex
engineering problems.
PO6: The Engineer and The World: 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.
PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and
inclusion; adhere to national & international laws.
PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member
or leader in diverse/multi-disciplinary teams.
PO9: Communication: 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
PO10: Project Management and Finance: 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.
PO11: Life-Long 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.
Programme Specific Outcomes (PSOs):
PSO1: Identify and formulate real-world engineering problems and apply computational techniques, algorithms, and domain knowledge for effective and efficient solutions.
PSO2: Designing, developing, and deploying software systems to address specific engineering and societal challenges while collaborating effectively in multidisciplinary teams.
PSO3: Demonstrate professionalism, ethical responsibility, and strong communication skills, and uphold integrity in computing practices.
M. Tech. in Computer Science and Systems Engineering
This Post Graduate course focuses on covering the fundamentals of discrete mathematical structures, Automata concepts, image processing, machine learning, advanced software testing, software maintenance and documentation tools, and big data analytics. The course content is designed and delivered with a focus on quality education and research and development to enable our graduates add real value to their organizations.
Computer Systems Engineering is an emerging field with endless potential. There is a huge demand for quality systems engineers who can address the rising complexities of large computing environments.
Programme Educational Objectives (PEOs):
PEO I : Able to excel professionally by adapting to the dynamic needs of Industry, Academia or Research in the field of Computer Science and Engineering.
PEO II : Able to demonstrate good analytical, research and design skills in multidisciplinary working environment.
PEO III : Able to adapt with the changing technologies, tools and societal requirements and undertake research for creating innovative systems and optimized solutions.
Programme Outcomes (POs):
PO1: An ability to independently carry out research/ investigation and development work to solve practical problems.
PO2: An ability to write and present a substantial technical report/ document.
PO3: An ability to demonstrate a degree of mastery over the area Computer Science and Systems Engineering , including usage of modern engineering tools.
PO4: An ability to follow ethical principles, assess societal issues and understand the impact of preserving the environment and sustainable development.
PO5: An ability to manage project work by implementing business practices including risk and finance management.
PO6: An ability to function effectively as an individual or team member in multidisciplinary settings and engage in lifelong learning.
VALUE ADDED COURSES
Value added courses are designed to fill the curriculum gap of the programmes offered. Value added courses are conducted to ensure skill development of students and make them industry ready.
The Computer Science and Engineering Department offers value added courses in IOT and Arduino based Robotics, Modern Web Application Development, CrossPlatform Mobile Application Development, Internet of Things, Android , Python ,PHP, Blockchain etc.
.Among these wide spectra of courses offered at Saintgits, a student could select any in each semester and he/she should undergo at least seven of these courses based on his/her priority.
