Department of Computer Engineering

Post Graduate

Dept. data last updated on :06/08/2022

COURSE.NAME :

M. Tech. (Computer Science & Engineering)

COURSE.SPEC :

Software Engineering

COURSE.NOS :

16

COURSE.COURSE :

COURSE.JP :

Multi-national companies, public sector units, academics etc.

COURSE.PEO :

Program Educational Objectives (PEOs) :

To produce engineering post graduates in Computer Science and Engineering (Software Engineering) who
PEO-1 : shall excel in career involving higher order and challenging tasks.
PEO-2 : are able to do analyses, research and innovation in their work.
PEO-3 : are effectively able to lead and work in a team in professional environment, demonstrate professional integrity and feel responsibility towards society and country.

COURSE.PO :

Program Outcomes (POs) :

Students should develop

PO-1 : An ability to independently carry out research/investigation and development work to solve practical problems.

PO-2 : An ability to write and present a substantial technical report/document.

PO-3 : Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.

PO-4 : Adapt to the contemporary trends and best practices of industry and research standards and thereby innovate solutions to existing problems pertinent to societal and environmental needs.

COURSE.Accr :

Yes

COURSE.NAME :

M.Tech. Computer Science & Engineering (Artificial Intelligence)

COURSE.SPEC :

Artificial Intelligence


COURSE.NOS :

6

COURSE.DEGREE :

COURSE.JP :

Multi-national companies, public sector units, academics etc

COURSE.PEO :

COURSE.PO :

Program Specific Outcomes (PSOs)

PSO-1: Apply Artificial Intelligence Techniques especially Machine Learning for solving complex problems.
PSO-2: Conduct interdisciplinary research and higher order analytical work in the field of Artificial Intelligence and other related areas.
PSO-3: Adapt to the contemporary trends and best practices of industry and research standards in Artificial Intelligence and thereby innovate novel solutions to existing problems pertinent to societal and environmental needs.

COURSE.Accr :

No