Galgotia College

Computer Science and Engineering

The department of Computer Science provides world-class research and education in modern computer science. The department has a cohesive team of well experienced faculty members having wide experience in recent technologies like Cloud computing, Grid Computing, High Performance Computing, Multimedia etc. It has different computer labs like Data Structure lab, Operating System lab, Multimedia lab, Web Technology lab, Research & Development lab. It also promotes active industry-institute collaboration by identifying areas of interest.

Some of the major research areas which the faculty members and students working on are Computer Networks, Database Systems, Multimedia, Image Processing, Software Engineering, Computer Architecture, Information System – Security and Data Mining.

The department excels in varied focus areas ranging from curriculum as prescribed by AKTU to game engineering. An extracurricular calendar of events and competitions give students ample opportunities to work together while gaining real-world experience that prepare them for their future careers. The department has extensive student engagement framework through regular interactions, annual educational tours, regular feedback mechanism, professional chapters and societies. The focus of the department is on state-of-the-art projects to be done by our B.Tech students, excellent teaching learning process, better alumni relations, good industry linked program and outcome based education.

Galgotias Computer Science graduates are recruited by industry-leading companies where they work to develop the hard and soft technologies we use everyday - the innovations that will make this world a better place for future generations.

Course Duration and Fee

B.Tech - 4 Years
View Fee Structure

Vision

To be center of excellence in providing contemporary education and research in the field of computer science and engineering.

Mission

To create conducive learning environment through effective teaching and learning process promoting quality education and research.
To promote research, consultancy and entrepreneurship development through industry - institute collaborations.
To make the students corporate ready with the right spirit and interpersonal skills.

Program Educational Objectives

The graduates shall be able to:

Excel in their career by acquiring knowledge in the field of Computer Science & Engineering with the usage of modern tools and emerging technologies.
Demonstrate and analyze real life problems of the society and produce innovative solutions.
Exhibit amicable communication skills and team work in the industry and research organization through professional development and lifelong learning.

Program Outcomes

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex computer engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyse complex computer engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex computer engineering problems and design system components or processes that meet the specific needs with appropriate considerations for the public health and safety, and the cultural, societal, and environmental considerations.
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 conclusions
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent relevant to the professional engineering practices
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
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norm of the engineering practices
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
Communications: 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
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.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life learning in the broadest context of technological change.

Program Specific Outcomes

Design computer based systems using theoretical computer science that demonstrate the comprehension of the trade-offs involve in the design choice.
Design, develop and test software for different applications with real time constraints.

Branch

B.Tech Computer Science and Engineering
B.Tech Computer Science and Engineering ( Artificial Intelligence)
B.Tech Computer Science and Engineering (Data Science)

B.Tech. Computer Science and Engineering (Artificial Intelligence)

Program Overview: The B.Tech in Artificial Intelligence under the Department of Computer Science and Engineering in GCET offers a world class academic environment for learning AI. The AI is a vital part of many stimulating consumer and business tools such as semantic search, speech recognition recommendation systems, 3D sensing in consumer gaming and machine translation. The B. Tech in AI brings all of these verticals together and offers a structure for industry to engaging students and faculty efficiently and effectively. The offered program signifies a new era of close involvement with major companies under the curriculum of AKTU. It supports industry collaboration through planned retreats. Some of the major research areas in which our faculty members are engaged include Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotics, Genomics and Healthcare, IoT and Autonomous Vehicles The focus of the department is to encourage and facilitate students with the real-world projects to be done by them, to provide excellent teaching and learning environment, best industry and academia interfaces and outcome based education for delivery of knowledge and information to the students. The B. Tech in Artificial Intelligence under the Department of Computer Science and Engineering in GCET is equipped with well managed Artificial Intelligence laboratory for conducting experiments and hands-on training in the stream of Artificial Intelligence.

Duration : 4 Years

Faculty Name	Designation	Highest Qualification	Area of Specialization	Email-ID
Dr. Vishnu Sharma	Professor & Head	PhD	Mobile Adhoc Network	vishnu.sharma@galgotiacollege.edu
Ms. Pragya Agarwal	Assistant Professor	M. Tech	Cloud Computing & Artificial Intelligence	pragya@galgotiacollege.edu
Ms. Nandini Tomar	Assistant Professor	M. Tech	Machine Learning	Nandini.tomar@galgotiacollege.edu

B.Tech. Computer Science and Engineering (Data Science)

Program Overview: B. Tech in Data Science under the Department of Computer Science and Engineering in GCET offers a vital interdisciplinary combination mainly of computer science, mathematics, and business analytics that traces the major areas of the contemporary fields around the world. It includes major methods consisting of knowledge extraction to analyze the insights of huge sized data. It incorporates statistics, machine learning, business analytics, visualization, scientific computing, Big data, and data analytics. The B.Tech in Data Science has been started with the intention of delivering the top-class analytics education under the curriculum of AKTU. Some of the major research areas in which our faculty members are engaged include Machine Learning, Big Data, Data Mining, Business Intelligence and Analytics. The offered program signifies a new era of close involvement with major companies under the curriculum of AKTU. It supports industry collaboration through planned retreats.

The focus of the department is to create industry ready data science professionals who can handle the complex real world problems effectively and efficiently. The faculty members of the department encourage and facilitate students to do the real-world projects, provide excellent teaching and learning environment, best industry and academia interfaces, and outcome-based education for delivery of knowledge and information to the students. The B. Tech in Data Science under the Department of Computer Science and Engineering in GCET is equipped with well managed data science laboratory for conducting experiments and hands-on training in the field of data science.

Duration : 4 Years

Faculty Name	Designation	Highest Qualification	Area of Specialization	Email-ID
Dr. Vishnu Sharma	Professor & Head	PhD	Mobile Adhoc Network	vishnu.sharma@galgotiacollege.edu
Ms. Ankita Gupta	Assistant Professor	M. Tech	Information Security & Image Processing	gupta@galgotiacollege.edu
Mr. Ravindra Kumar	Assistant Professor	M. Tech	Machine Learning	ravindra.kumar@galgotiacollege.edu