ADMISSION OPEN :
APPLY NOW47 years of Academic Excellence
Rated University in North India by Careers360
Best Placement Award by Assocham
Best University Award by 94.5
Well connected campus with infrastructure and modern facilites
The School of Computer Science and Engineering at Geeta University is distinguished for its pioneering research and provision of world-class education. We attract outstanding students and esteemed faculty members, ensuring that the department remains at the forefront of international-level training and research.
Our department offers the highest standard of computing facilities to our students, promoting a robust academic environment. Additionally, we foster strong industry-department collaborations, identifying mutual areas of interest and engaging in research projects and consultancy services.
Our research encompasses various domains, including systems, software, networking, databases, security, and the foundations of computer science. We also delve into advanced areas such as artificial intelligence, robotics, and scientific computing. Beyond basic research, the department is committed to developing interdisciplinary applications that drive fundamental research, thereby contributing significantly to the field of computer science engineering.
PO-1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for solving complex engineering problems.
PO-2 Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems and reach substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
PO-3 Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs after careful consideration of public health and safety, and the various cultural, societal, and environmental aspects.
PO-4 Investigate complex problems: Use research-based knowledge and the latest research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO-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, keeping the limitations in mind
PO-6 The engineer and the society: Apply reasoning supported by contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to the practice of professional engineering.
PO-7 Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO-8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO-9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams across multidisciplinary settings.
PO-10 Communication: Communicate effectively about complex engineering activities with the engineering community and with society at large, such as comprehending and writing effective reports and design documentation, making effective presentations, and giving and receiving clear instructions.
PO-11 Project management and finance: Demonstrate the knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader of a team, to manage projects, and in multidisciplinary environments.
PO-12 Life-long learning: Recognize the need for and develop the habit and ability to engage in independent and life-long learning in the broadest context of technological change.
● Core Computer Science Foundation: The program begins with a strong foundation in core computer science & engineering subjects, including algorithms, data structures, computer organization & architecture, and programming languages.
● Specialization Courses: Specialization courses in Artificial Intelligence (AI) and Machine Learning (ML) form a significant part of the curriculum. These courses cover topics such as neural networks, deep learning, natural language processing, and computer vision.
● Mathematics and Statistics: As AI and machine learning rely heavily on mathematical and statistical concepts, the program includes courses in linear algebra, probability, statistics, and calculus to provide a solid mathematical foundation.
● Industry-Relevant Tools and Technologies: Exposure to industry-relevant tools and technologies used in AI and machine learning, such as TensorFlow, PyTorch, scikit-learn, and others is provided.
● Capstone Projects: Culmination projects or capstone projects are the projects where students apply their knowledge and skills to solve real-world problems. This may involve developing AI-based applications, implementing machine learning models, or working on research projects.
● Internships and Industry Collaboration: Opportunities for internships and collaboration with industries, research labs, or AI/ML-focused companies are provided to students to help them gain hands-on experience and understand industry practices.
● Guest Lectures and Workshops: Regular guest lectures by industry experts and researchers in the field of AI and machine learning are organized to keep students updated on the latest advancements and industry trends.
● Soft Skills Development: Besides technical skills, the program also focuses on developing soft skills such as communication, problem-solving, and teamwork, which are essential for success in any professional setting.
PEO.1 Ensuring that the students can effectively use the English language to articulate ideas both in oral and written communication
PEO.2 Enhance the competency of students to make them capable of contributing to multi-disciplinary teams for the achievement of collective goals.
PEO.3 Demonstration of technical competence and proficiency in computer science and engineering principles, tools, and techniques by the students.
PEO.4 Empower the students to pursue a successful career in computer science and engineering or related fields.
Room No. . | Name of Laboratories | Lab In-Charge | Lab Technicians |
---|---|---|---|
C 106 | Problem Solving Using C / Advance Programming in C Lab | Mr. Mohammad Aslam | Mr.Sahil |
C 107 | Data Base Management system Lab | Dr. Suresh Kumar | Mr.Sahil |
C 302 | Computer Networks Lab | Dr. Poonam | Mr.Sahil & Mr.Joginder |
C 305 | Front End Development-II Lab | Mr. Nijamuddin | Mr.Gaurav & Mr.Joginder |
C 306 | Full Stack Development – II Lab | Mr. Ronak | Mr.Gaurav & Mr.Joginder |
C 308 | Data Structure Lab | Mr. Hemant Singh | Mr.Joginder |
C 309 | Design Analysis & Algorithm Lab | Ms. Rakhi | Mr.Joginder |
C 310 | Object Oriented Programming Lab | Mr. Aarti | Mr.Sahil |
F 302 | Mobile Application Development Lab | Ms. Priyanka | Mr.Rahul |
F 307 | Front End Development-I Lab | Ms. Shreya | Mr.Rahul |
F 312 | Full Stack Development – I Lab | Mr.Kapil | Mr.Rahul |
C 205 | Physics Lab | Dr. Paramjeet | Ms Sukriti |
C 108 | Computer Centre | Mr. Ashish Singh Yadav | Mr.Gaurav |
•Candidates must have earned at least 50% on their 10+2 exam from an accredited board in any stream (ideally science).
•For Kashmiri Migrants (KM) relaxation in cut-off percentage up to 10% subject to minimum eligibility requirement.
•Diploma Examination passed with at least 45% marks (40% reserve category) in aggregate in any Branch of Engineering and Technology., Diploma in Engineering & Technology ( 3 Years )
•Candidates must have earned at least 50% on their 10+2 exam from an accredited board in any stream (ideally science).
•For Kashmiri Migrants (KM) relaxation in cut-off percentage up to 10% subject to minimum eligibility requirement.
•Candidates must have earned at least 50% on their 10+2 exam from an accredited board in any stream (ideally science).
•For Kashmiri Migrants (KM) relaxation in cut-off percentage up to 10% subject to minimum eligibility requirement.
•Candidates must have earned at least 50% on their 10+2 exam from an accredited board in any stream (ideally science).
•For Kashmiri Migrants (KM) relaxation in cut-off percentage up to 10% subject to minimum eligibility requirement.
•Candidates must have earned at least 50% on their 10+2 exam from an accredited board in any stream (ideally science).
•For Kashmiri Migrants (KM) relaxation in cut-off percentage up to 10% subject to minimum eligibility requirement.
c
•A Master's degree or a professional degree equivalent to the Master’s degree, with at least 55% marks in aggregate or its equivalent grade ‘B’ on the UGC 7-point scale. Degrees from recognized foreign institutions are also acceptable.
•Candidates must qualify in the entrance test conducted by the university with a minimum of 50% marks.
The candidate must have passed with 50% minimum marks in Senior Secondary Certificate Examination (10+2 Standard) from any recognized Board
The candidate must have passed with 50% minimum marks in Senior Secondary Certificate Examination (10+2 Standard) from any recognized Board
The candidate must have passed with 50% minimum marks in Senior Secondary Certificate Examination (10+2 Standard) from any recognized Board
The candidate must have passed with 50% minimum marks in Senior Secondary Certificate Examination (10+2 Standard) from any recognized Board
The Candidate must pass BCA with 50% marks or any Graduation with Math with 50% marks and Math at Senior Secondary Certificate Examination (10+2 Standard) level.
The candidate must have passed with 50% minimum marks in Senior Secondary Certificate Examination (10+2 Standard) from any recognized Board
Computer Programming & Graphics Lab
Object-oriented Programming Lab(OOPS Lab)
Language Processor Lab
Network & OS Lab
Internet & Project Lab
Language Lab
PG Lab
Computer Lab
Code Quotient ( Lab)