Computer Science & Engineering

About Department

The Department of Computer Science and Engineering started in year 2000 with intake of 60 (Current intake is 180 seats). Since its establishment, the department has grown-up considerably and has become a role-model to set the bench marks in academics. Along with UG course it also runs PG course and is a research centre for Ph.D. in Computer Science and Engineering.

The Department of Computer Science and Engineering is committed to its mission of imparting knowledge of fundamental principles and their applications through quality teaching, collaborative professional activities and ethical conduct, thus developing ability to provide solutions to problems in computer science and engineering. The department achieved the status of a Research Centre and through it the department encourages high quality research work in the field of Computer Science and Engineering. It is a matter of great pride that many of ours students have received the Chancellor’s Scholarship.

A highly qualified team of faculty members is the backbone of the department. Apart from academic activities they are also instrumental in providing and organizing hands-on training Program, FDPs, Workshops, Seminars and Conferences.

The department offers excellent computing facility through latest computer system, advanced servers, latest software, 24×7 internet facility etc. To make our students globally-competitive, distinguished professional from industries, eminent researchers, expert speakers and guest faculties are regularly invited to share their knowledge and expertise with us. Students are always motivated to join various technical and non technical societies and forums.

Our students have proved their calibre by getting placed in companies such as SAP,TCS, Infosys, Hexaware, Accenture, Mphasis-EDS, Avaya, Convergys, Syntel, Persistent, ZScalar and Wipro to name of few. Our university exam’s results are also exceptionally good. So, the department is striving hard to answer the real need for professional and technical expertise in the field of Computer Science and Engineering.
Vision of the department:

To evolve as a centre of academic excellence in computer science and engineering by preparing technocrats possessing good domain knowledge, professional skill sets and high social values.
Mission of the department:

M.1: To impart knowledge of fundamental principles and their applications through quality teaching, thus developing ability to provide solutions to problems in Computer Science and Engineering.
M.2: To impart knowledge of fundamental principles and their applications through collaborative professional activities, thus developing ability to provide solutions to problems in Computer Science and Engineering.
M.3: To impart knowledge of fundamental principles and their applications through ethical conduct, thus developing ability to provide solutions to problems in Computer Science and Engineering.
PEO 1: Graduates will become professionally skilled and successful entrepreneur in the field of Computer Science & Engineering considering social and environmental issues.

PEO 2: Graduates will possess solid foundation in the field of Computer Science and Engineering to become academically strong to opt for higher studies.

PEO 3: Graduates will be inclined towards research and acquire adaptability for innovative ideas and technologies with sound ethical values.
PSO 1: Graduates will be able to apply the knowledge of computing system principles in building system software components in web engineering, mobile & cloud computing.

PSO 2: Graduates will be able to apply the theoretical foundation of computer science in modelling and developing solutions to the real world problems in the soft computing domain.

PSO 3: Graduates will be able to design and develop projects using modern tools including open source software platforms in the field of web technology, mobile computing and database design.
Engineering Graduates will be able to:
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.
Dr. Vivek Sharma (M.Tech., Ph.D.)

The department of Computer Science & Engineering is fully committed to provide research oriented quality education to the budding Engineers so that they not only contribute to the development and prosperity of the society and the nation but also can build a successful career. Departmental educational objectives primarily focus upon:
Providing our students solid foundation of Computer Science and Engineering concepts for developing engineering aptitude.
Making our students learn cutting edge technologies and preparing our students to be readily absorbable in industry and for higher studies.
Department also encourages and motivates students to explore their potential in the domain of their own interest by organizing different technical/creative events like Conferences, Seminars, Hands-on Workshops, Code Competitions, Model Making and Gaming Activities.
Transforming students into successful professionals, who follow ethical practices, are always keen to learn new things and ready to face future challenges.
To achieve these objectives department ensures the overall development of the students, may it be academic, scientific, technical, technological or personal.

To achieve these objectives department ensures the overall development of the students, may it be academic, scientific, technical, technological or personal.

All The Best Student’s

HOD CSE
Award
Video Tutorials

“Theoretical and Practical Concepts of Genetic Algorithm”

“The 5th Generation Mobile Technology”

“Internet of Things”
.

“Biomedical Diagnosis & Imaging Techniques”

“Wireless Sensor Network”

https://drive.google.com/file/d/1uumEc-7uTgJuhKREJrBq4Tyv-ZYIYwJp/view

https://drive.google.com/file/d/1CA7c3JN4IUfXQZpbcUi-hfnEkf8zi_8L/view
NPTEL Online Lectures
1. Artificial Intelligence, Prof. Anupam Basu, IIT Kharagpur
2. Artificial Intelligence II, Prof. P.Dasgupta, IIT Kharagpur
3. Artificial Intelligence III, Prof. Deepak Khemani, IIT Madras
4. Biometrics, Prof. Phalguni Gupta, IIT Kanpur
5. C Programming and Data Structures, Prof. P.P.Chakraborty, IIT Kharagpur
6. Compiler Design, Prof. Y.N.Srikant, IISc Bangalore
7. Computational Geometry, Prof. Sandeep Sen, IIT Delhi
8. Computer Algorithms, Prof. Shashank K. Mehta, IIT Kanpur
9. Computer Architecture, Prof. Anshul Kumar, IIT Delhi
10. Computer Graphics, Prof. Sukhendu Das, IIT Madras
11. Computer Organization, Prof. S. Raman, IIT Madras
12. Cryptography and Network Security, Prof. Debdeep Mukhopadhyay, IIT Kharagpur
13. Data Structures And Algorithms, Prof. Naveen Garg, IIT Delhi
14. Database Design, Prof. D. Janaki Ram, IIT Madras
15. Database Management System, Prof. D.Janakiram, IIT Madras
16. Design and Analysis of Algorithms, Prof. Abhiram G Ranade, IIT Bombay
17. Digital Computer Organization, Prof. P.K. Biswas, IIT Kharagpur
18. Digital Systems Design, Prof. D. Roychoudhury, IIT Kharagpur
19. Discrete Mathematical Structures, Prof. Kamala Krithivasan, IIT Madras
20. Graph Theory, Prof. L. Sunil Chandran, IISc Bangalore
21. High Performance Computer Architecture, Prof. Ajit Pal, IIT Kharagpur
22. High Performance Computing, Prof. Matthew Jacob, IISc Bangalore
23. Internet Technologies, Prof. I. Sengupta, IIT Kharagpur
24. Internet Technology, Prof. Indranil Sengupta, IIT Kharagpur
25. Introduction to Computer Graphics, Prof. Prem Kalra, IIT Delhi
26. Introduction To Problem Solving, Programming, Prof. Deepak Gupta, IIT Kanpur
27. Logic for Computer Science, Prof. S. Arun Kumar, IIT Delhi
28. Logic for CS, Prof. S. Arun Kumar, IIT Delhi
29. Natural Language Processing, Prof. Pushpak Bhattacharyya, IIT Bombay
30. Numerical Analysis and Computer Programming, Prof. P. B. Sunil Kumar, IIT Madras
31. Numerical Methods and Programing, Prof. P.B.Sunil Kumar, IIT Madras
32. Numerical Optimization, Prof. Shirish K. Shevade, IISc Bangalore
33. Parallel Algorithm, Prof. Phalguni Gupta, IIT Kanpur
34. Parallel Computing, Prof. Subodh Kumar, IIT Delhi
35. Performance Evaluation of Computer Systems, Prof. Krishna Moorthy Sivalingam, IIT Madras
36. Principles of Engineering System Design, Prof. T Asokan, IIT Madras
37. Principles of Programming Languages, Prof. S. Arun Kumar, IIT Madras
38. Software Engineering, Prof. Rushikesh K Joshi, IIT Bombay
39. Systems Analysis and Design, Prof. V Rajaraman, IISc Bangalore
40. Theory of Computation I, Prof. Kamala Krithivasan, IIT Madras

Computer Science & Engineering

The Department of Computer Science and Engineering is well-equipped with some of the most defined and technically modern laboratories to provide a superior level of practical education to its students. The laboratories are specifically designed with excellent facilities to meet the requirements of A.I.C.T.E. and University. Advanced equipment’s and hardware/software’s are added to the laboratories each year thus keeping them updated.

Major Laboratories

• Java Technologies Lab/OOT Lab	Data structure Lab/Analysis & Design Of Algorithm Lab/BCE Lab	Operating System Lab/.Net Technologies Lab
Unix/Linux Lab/Minor Project Lab	DBMS Lab/SEPM Lab	CGMM Lab/CN Lab
Compiler Design Lab/Soft Computing/Project Lab	Cloud Computing Lab/Web Engineering/Major Project/Distributed System Lab	Computer Center/Basic Computer Engg Lab
Language Lab	PG-Research Lab	Additional Computer Center/Basic Computer Engg Lab

View of few laboratories

		DBMS/SEPM Lab Students Working in the DBMS laboratory for creating database applications. Laboratory is equiped with Latest configuration 60 HP core 2 Duo systems with Oracle 11i and SQL Server 2005.
CGMM/Computer Network Lab Neural Network LabStudents Working in the Neural Network laboratory for designing programs.Laboratory is equiped with Latest configuration 60 HP core 2 Duo systems with Matlab 7.0 .
		Data Structure/ADA Lab Data Structure LabStudents Working in the Data Structure laboratory for implementing applications of data structures. Laboratory is equiped with Latest configuration 60 HP core 2 Duo systems with C and C++ language.
Project Lab Students Working in the open source laboratory. Laboratory is equiped with Latest configuration 60 HP core 2 Duo systems with Linux operating system and linux based C programming .

Future Of Computer science and Engineering

The work processes of computer scientists are like those of natural scientists, and students could learn the processes of science in computing, perhaps more easily than when working with the physical world. Computing taught as a science will introduce computing as a powerful tool for supporting thinking. The department is working for the following:

• The department has planned to organize a Technical Event every year in which we will have paper presentation and various other technical activities.

• The department organize extra lectures for weak students.

• The department will organize social activities as a part of social service to the nation.

Result Analysis IV SEM EXAM May 2023

S.N.	Roll Number	Name	SGPA	CGPA	Result
1	0111CS201064	HARSHIT PANDEY	8.67	9.2	PASS
2	0111CS201026	AMBRISH DUBEY	9.08	9.17	PASS
3	0111CS201014	ADITI SHRIVASTAVA	8.83	9.14	PASS
4	0111CS201045	AVNI UMAHIYA	8.88	9.13	PASS
5	0111CS201169	SHRUTI MISHRA	8.83	9.13	PASS

Result Analysis VI SEM EXAM May 2023

S.N.	Roll Number	Name	SGPA	CGPA	Result	Photo
1	0111CS201064	HARSHIT PANDEY	8.67	9.2	PASS
2	0111CS201026	AMBRISH DUBEY	9.08	9.17	PASS
3	0111CS201014	ADITI SHRIVASTAVA	8.83	9.14	PASS
4	0111CS201045	AVNI UMAHIYA	8.88	9.13	PASS
5	0111CS201169	SHRUTI MISHRA	8.83	9.13	PASS

Final Year Toppers 2021
S.N	Name	ENROLMENT NO	SGPA	CGPA
1	NIMSI RATNAWAT	0111CS171078	10	9.38
2	JAYANTI RAGHUWANSHI	0111CS171049	10	9.12
3	SHUBHAM GUPTA	0111CS171107	9.28	9.09

Third Year Toppers 2021
S.N	Name	ENROLMENT NO	SGPA	CGPA
1	NIVEDITA BHASIN	0111CS181077	10	9.38
2	RIYA YADAV	0111CS193D07	9.42	9.22
3	MONIKA	0111CS181067	9.71	9.16

Second Year Toppers 2021
S.N	Name	ENROLMENT NO	SGPA	CGPA
1	YASH TAKIYAR	0111CS203D18	9.83	9.78
2	ABHAY TAKIYAR	0111CS203D01	9.67	9.76
3	PRABHAT GARG	0111CS191096	9.83	9.65

Final Year Toppers 2020
S.N	Name	ENROLMENT NO	SGPA	CGPA
1	SNEHA KUMARI	0111CS161114	9.5	8.83
2	UPENDRA SHRIVASTAVA	0111CS161119	9.19	8.83
3	ASHI JAIN	0111CS161036	9.75	8.81

Third Year Toppers 2020
S.N	Name	ENROLMENT NO	SGPA	CGPA
1	NIMMSI RATNAWAT	0111CS171078	10	9.21
2	SHUBHAM GUPTA	0111CS171107	9.42	8.99
3	JAYANTI RAGHUWANSHI	0111CS171049	10	8.90

Second Year Toppers 2020
S.N	Name	ENROLMENT NO	SGPA	CGPA
1	NIVEDITA BHASIN	0111CS181077	10	9.07
2	RIYA YADAV	0111CS193D07	10	9
3	KHUSHBOO SAXENA	0111CS181051	10	8.93

Final Year 2019
S.N	Name	ENROLMENT NO	CGPA
1	MEENAL SHARMA	0111CS151068	9.03
2	MANSI DUBEY	0111CS151066	8.86
3	ADEEBA TARIQUE	0111CS151008	8.81

Third Year 2019
S.N	Name	ENROLMENT NO	CGPA
1	UPENDRA SHRIVASTAVA	0111CS161119	8.87
2	SNEHA KUMARI	0111CS161114	8.74
3	ASHI JAIN	0111CS161036	8.7

Second Year 2019
S.N	Name	ENROLMENT NO	CGPA
1	NIMSI RATNAWAT	0111CS171078	9.06
2	SHUBHAM GUPTA	0111CS171107	8.87
3	JAYANTI RAGHUWANSHI	0111CS171049	8.78

Final Year 2018
S.N	Name	ENROLMENT NO	CGPA
1	DEEPMAL JAISWAL	0111CS153D04	8.84
2	VEESHU JAIN	0111CS141115	8.79
3	DEEPAK KATARIA	0111CS141032	8.71

Third Year 2018
S.N	Name	ENROLMENT NO	CGPA
1	MEENAL SHARMA	0111CS151068	9.07
2	SALONI GUPTA	0111CS151097	8.9
3	MANSI DUBEY	0111CS151066	8.87

Second Year 2018
S.N	Name	ENROLMENT NO	CGPA
1	SNEHA KUMARI	0111CS161114	8.93
2	BHAVSAR DHEERAJ UMESH	0111CS161044	8.89
3	KUMAR GAURAV	0111CS161061	8.74

Final Year 2017
S.N	Name	ENROLMENT NO	CGPA
1	ROSHNI AHUJA	0111IT131064	9.03
2	PRIYANKA SHARMA	0191CS131079	8.92
3	MANISHA RINGE	0111CS131056	8.68

Third Year 2017
S.N	Name	ENROLMENT NO	CGPA
1	DEEPMALA JAISWAL	0111CS153D04	8.82
2	DEEPAK KATARIA	0111CS141032	8.87
3	VEESHU JAIN	0111CS141115	8.87

Second Year 2017
S.N	Name	ENROLMENT NO	CGPA
1	MEENAL SHARMA	0111CS151068	9.27
2	SALONI GUPTA (SP)	0111CS151097	9.2
3	NIKHIL TIWARI	0111ME151173	9.1

Following Students Qualify GATE Examination 2019
S.N	Name	Roll No.	Marks	All India Rank
1	TARUN YADAV	0111CS151118	43.3	4669
2	MEENAL SHARMA	0111CS151068	41	5622
3	AMIT DHAKAD	0111CS151023	42	4889
4	VIKAS TIWARI	0111CS151121	45	4000