Computer Science & Engineering

Vision

All contemporary initiatives in academia, government, and business involve computer science, and its importance will only increase. The goal is to develop into a renowned department of computer science and engineering that produces capable professionals with research and innovation skills while instilling moral principles and societal concerns.

Mission

• To develop, disseminate, and use knowledge in fields that broaden computer science's purview and advance humanity.
• To prepare students to be successful, moral, and efficient problem solvers as well as lifelong learners who will favourably impact our region's and country's economic prosperity.
• Create a learning environment that fosters creativity and professional problem-solving abilities.

Program educational objectives

PEO1: The program's alumni will use their knowledge and abilities in computer science and engineering to find work in a variety of areas in the software business, either locally or internationally.

PEO2: The program's alumni will be ready to pursue research, higher education, or any other field at reputable universities.

PEO3: The program's alumni will become successful entrepreneurs by applying computer science and engineering principles and adapting new technology through ongoing learning.

Program specific outcomes

PSO1: Graduates of the curriculum will use solid foundations to analyse a variety of fields, including web design, data structures, software engineering, and network security.

PSO2: The program's alumni will use open-source programming tools to create and construct algorithm-related programs and offer solutions for novel concepts and developments.

Program Outcomes

Engineering Graduates will be able to :

• Engineering Knowledge: Solve challenging engineering problems by applying your understanding of science, math, engineering principles, and an engineering specialty.
• Problem analysis: Using fundamental concepts from mathematics, the natural sciences, and engineering sciences, identify, create, review, and analyse difficult engineering problems to obtain supported conclusions.
• Design/Development of solutions: Create solutions for challenging engineering issues and system parts or procedures that satisfy the requirements while taking public health and safety, cultural, societal, and environmental factors into account.
• Investigate complicated issues: To draw reliable findings, apply research-based knowledge and research techniques, such as experiment design, data analysis and interpretation, and information synthesis.
• Modern tool usage: Develop, choose, and use suitable methods, materials, and contemporary engineering and IT tools, such as modelling and prediction, to intricate engineering tasks while being aware of the constraints.
• The engineer and society: Evaluate societal, health, safety, legal, and cultural issues as well as the ensuing obligations pertinent to professional engineering practice by applying reasoning based on contextual information.
• Environment and sustainability: Recognize how professional engineering solutions affect societal and environmental contexts, and exhibit your understanding of and commitment to sustainable development.
• Ethics: Uphold professional ethics, obligations, and engineering practice norms by applying ethical principles.
• Individual and teamwork: Perform well both individually and as a leader or member of varied teams in multidisciplinary environments.
• Communication: Be able to understand and create effective reports and design documentation, make successful presentations, and give and receive clear instructions to effectively communicate complex engineering tasks to the technical community and to society at large.
• Project management and finance: Exhibit knowledge and comprehension of engineering and management principles and apply them to one's own work, as a team member and leader, to manage projects and in multidisciplinary settings.
• Lifelong learning: Acknowledge the necessity of and possess the capacity for.

PROGRAMS ASSESSMENT AND QUALITY IMPROVEMENT COMMITTEE (PAQIC)

Objective: To enhance program quality and uphold standards by involving all relevant parties regarding curriculum, teaching, learning, and evaluation, student performance, faculty contributions, infrastructure, student support systems, and industry interaction.

Composition

Roles & Responsibilities:

• To create, execute, and confirm quality variables for the department's successful operations.
• To establish a student-centred atmosphere.
• To gather input from all parties involved and take appropriate action.
• Monitoring PO and PSO attainment; encouraging teachers and students to participate in workshops, projects, working models, and research paper publications
• To determine the course structure, comprehensive syllabus, value-added course, professional and open electives, required courses, and MOOC courses offered by the department.
• To engage with the students, faculty, program coordinator, and external stakeholders to understand the efficacy of the program in achieving the PEOs.
• Assign faculty members instructional responsibilities and provide facilities for high-quality instruction.
• Assigning faculty mentors to the newly admitted students.
• Examine slow or weak students' cases and, in consultation with faculty mentors, determine the best course of action beforehand.
• Keeping a close eye on students' performance and taking appropriate measures.
• Assist faculty members with the subsequent ongoing assessment.
• Making sure students are disciplined.
• Organizing and managing the pupils' extracurricular and co-curricular activities.
• When medals and prizes are available, choose which ones to give out depending on departmental activities or merit.

In conclusion, submit a thorough report at the end of each semester.

The following labs enhance the Computer Science department:

• Digital Logic Design Lab
• Database Management
• Data Structure Using C Lab
• System Lab
• Numerical Technique Lab
• Principle of Programming
• Advance Programming Lab
• Language Lab
• Microprocessor Lab
• Web Technology Lab
• Operating System Lab
• Computer Network Lab
• Computer Graphics Lab
• Software Engineering Lab
• Functional & Logic
• Compiler Design Lab
• Programming Lab
• Distributed System Lab
• Design & Analysis
• Digital Image Processing Lab
• Algorithm Lab
• Artificial Intelligence Lab