B.ENG. (Hons) in Computer Engineering with specialization in Data Science

VISION STATEMENT OF THE SCHOOL OF COMPUTER SCIENCE AND ENGINEERING 

To be a world-renowned centre of education, research and service in computing and allied domains.

MISSION STATEMENT OF THE SCHOOL OF COMPUTER SCIENCE AND ENGINEERING 

•  To offer computing education programs with the goal that the students become technically competent and develop lifelong learning skill.

•  To undertake path-breaking research that creates new computing technologies and solutions for industry and society at large.

•  To foster vibrant outreach programs for industry, research organizations, academia and society. 

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

1. Graduates will be engineering practitioners and leaders, who would help solve industry’s technological problems.

2. Graduates will be engineering professionals, innovators or entrepreneurs engaged in technology development, technology deployment, or engineering system implementation in industry.

3. Graduates will function in their profession with social awareness and responsibility.

4. Graduates will interact with their peers in other disciplines in industry and society and contribute to the economic growth of the country.

5. Graduates will be successful in pursuing higher studies in engineering or management.

6. Graduates will pursue career paths in teaching or research.

PROGRAMME OUTCOMES (POs)

PO_01: Having an ability to apply mathematics and science in engineering applications.

PO_02: Having a clear understanding of the subject related concepts and of contemporary issues and apply them to identify, formulate and analyse complex engineering problems.

PO_03: Having an ability to design a component or a product applying all the relevant standards and with realistic constraints, including public health, safety, culture, society and environment.

PO_04: Having an ability to design and conduct experiments, as well as to analyse and interpret data, and synthesis of information.

PO_05: Having an ability to use techniques, skills, resources and modern engineering and IT tools necessary for engineering practice.

PO_06: Having problem solving ability- to assess social issues (societal, health, safety, legal and cultural) and engineering problems.

PO_07: Having adaptive thinking and adaptability in relation to environmental context and sustainable development.

PO_08: Having a clear understanding of professional and ethical responsibility.

PO_09: Having cross cultural competency exhibited by working as a member or in teams.

PO_10: Having a good working knowledge of communicating in English – communication with engineering community and society.

PO_11: Having a good cognitive load management skills related to project management and finance.

PO_12: Having interest and recognise the need for independent and lifelong learning.

PROGRAMME SPECIFIC OUTCOMES (PSOs)

1. Apply computing theory, languages and algorithms, as well as mathematical and statistical models, and the principles of optimization to appropriately formulate and use data analysis.

2. Apply the principles and techniques of database design, administration, and implementation to enhance data collection capabilities and decision-support systems. Ability to critique the role of information and analytics in supporting business processes and functions.

3. Invent and use appropriate models of data analysis, assess the quality of input, derive insight from results, and investigate potential issues. Also to organize big data sets into meaningful structures, incorporating data profiling and quality standards.

CREDIT STRUCTURE

Category-wise Credit distribution