1. Engineering knowledge:

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. Ethics:

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

9. Individual and team work:

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

10. 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.

11. 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.

12. 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.

PEO 1:

To enable the students with innovative applications of engineering knowledge and programming skills to spearhead the progress of society in the information age.

PEO 2:

To mould the students into competent, successful, and practicing engineers in their career and/or in pursuing their higher studies through the spirit of innovation and entrepreneurship.

PEO 3:

To provide exposure to cutting edge technologies, adequate training and opportunities to work individually and as teams on multidisciplinary projects with effective analytical skills.

PEO 4:

To acquire and practice the profession with ethics, integrity and leadership qualities with due consideration to environmental issues in conformance with societal needs.

PSO 1:

Identify, Analyse, Formulate and Solve Real Time Complex Engineering Problems.

PSO 2:

Design, Implement and Deploy a Quality Based Software System to meet the Evolving needs.

COMPUTER PROGRAMMING LAB

• To write programs in C to solve problems
• To implement linear data structures
• To implement searching and sorting methods

DATABASE MANAGEMENT SYSTEMS LAB

• Database security fundamentals
• Design techniques of database security
• Secure software design principles

JAVA PROGRAMMING LAB

• Object-oriented programming concepts
• Java console programming
• GUI-based programming

INFORMATION TECHNOLOGY WORKSHOP

• HTML programming fundamentals
• Paper presentation design skills
• MS Office tools implementation

DATA STRUCTURES LAB

• Implementation of advanced data structures
• Sorting and searching algorithms
• Problem-solving using C programming

OPERATING SYSTEMS LAB

• Abstract data types implementation
• Linear and non-linear data structures
• Algorithm analysis and optimization

COMPILER DESIGN LAB

• Java programming with IDE tools
• Application namespace management
• Security system integration

CASE TOOLS & WEB TECHNOLOGIES LAB

• Web development technologies
• Web services deployment
• Framework interoperability

LINUX PROGRAMMING LAB

• Shell scripting fundamentals
• Linux system utilities implementation
• Network application development

DATA WAREHOUSING & MINING LAB

• Data mining systems analysis
• Mining technologies implementation
• Data modeling and analysis

ADVANCED DATA STRUCTURES & ALGORITHMS LAB

• Design and implementation of basic data structures
• Program specification and analysis
• Data abstraction principles

WEB SERVICES LAB

• Web services and SOA implementation
• XML concepts and applications
• Testing strategies for SOA-based applications

AI in Healthcare Diagnostics

Development of AI-powered diagnostic tools for early disease detection using deep learning and computer vision.

Smart City Infrastructure Development

IoT-based solutions for urban traffic management and environmental monitoring using edge computing.

Quantum Computing Applications

Research on quantum algorithms for optimization problems and secure communication.

Technical Consulting Services

• Software Architecture and System Design
• Cloud Migration and DevOps Implementation
• AI/ML Solutions Development
• Cybersecurity Assessment and Implementation

Recent Major Consultancy Projects

• Smart Manufacturing Solution

  Implementation of IoT-based manufacturing monitoring system for a leading automotive company

• Healthcare Analytics Platform

  Development of predictive analytics solution for a multi-specialty hospital chain