The Department of Computer Science and Engineering is one of the oldest departments of GATE. It has been establised in 2020. The Department of Computer Science & having and Engineering (120) Setes.The dept. has been actively engaged in teaching and research in diverse fields of Computer Science and Engineering. With excellent faculty, the Department of Computer Science and Engineering offers undergraduate (B.Tech).
Vision
To Build Excellent computer science engineers by contributing significantly to the socity through scientific approch through science and technology.
Mission
M1:To impliment effective teaching methods by maticulous faculty members for acheving the vision
M2: To convey the students modernization in technology and knowledge.
M3: To build professionalism and morality in our yound students through grooming to transform intoeffective engineers.
M4: To built scientifc approch in students to meet global standards.
Faculty
SL.NO.
Name of the Faculty
Designation
Area of specialization
01
Mr. Sachin Kumar Para
HOD /Assistant Professor
Computer Science and Engineering
02
Mr. Pinaki Bhusan Nayak
Assistant Professor
Computer Science and Engineering
03
Smt. Minakshi Sahu
Assistant Professor
Computer Science and Engineering
04
Mr. Bhabani Sanakr Panda
Assistant Professor
Computer Science and Engineering
05
Ms. Subhashree Panigrahy
Assistant Professor
Computer Science and Engineering
06
Mr. Rama krushna Padhy
Assistant Professor
Computer Science and Engineering
07
Ms. Swatishree Nayak
Assistant Professor
Computer Science and Engineering
08
Ms. Swarnalata Sahu
Assistant Professor
Computer Science and Engineering
09
Ms. Tanushree Priyadarshini
Assistant Professor
Computer Science and Engineering
10
Ms. Subhashree Padhy
Assistant Professor
Computer Science and Engineering
11
Ms. Reshma Kumari Padhy
Assistant Professor
Computer Science and Engineering
12
Ms. Amisha Pradhan
Assistant Professor
Computer Science and Engineering
13
Mr. Gourav Rath
Assistant Professor
Computer Science and Engineering
14
Ms. Puspanjali Patoro
Assistant Professor
Computer Science and Engineering
Objectives
The core objective of the department is to fulfill its mission as defined in its mission statement. The following categorized objectives, when met, will serve to fulfill the mission of the department.
1.PO1 (Engineering knowledge): Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. 2.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. 3.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. 4.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. 5.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. 6.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. 7.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. 8.PO8 (Ethics): Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. 9.PO9 (Individual and team work):Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. 10.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. 11.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. 12.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.
PEO1: To produce Graduates who will be able to apply principles of computer science and engineering to identify, analyze, and solve complex engineering problems. PEO2: To produce Graduates who will be able to demonstrate proficiency in the core areas of computer science and engineering, including programming, algorithms, data structures, software engineering, hardware systems, and computer networks. PEO3: To produce Graduates who will be able to design, implement, and evaluate computer-based systems, components, or processes to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
PROGRAM SPECIFIC OUTCOMES (PSOs)
PSO1:To create proficiency in designing, developing, and testing software solutions using relevant programming languages, tools, and methodologies. PSO2: To demonstrate a deep understanding of algorithms and data structures, and their applications in solving computational problems efficiently. PSO3: To possess the knowledge and skills to design, implement, and manage databases, ensuring efficient storage, retrieval, and manipulation of data.