Computer Science & Engineering – SDBC

Computer Science & Engineering

Computer Science & Engineering

Department of Computer Science & Engineering

The department of CSE at SD Bansal is known for imparting quality education and giving excellent placements. The Department has modern facilities for teaching and learning. The guidance and cooperation of the experienced and expert faculty of the department is one of the attracting features of the department, which enlivens the students to stretch their wings, so that they can fly higher than their dreams and serve the country.

Strength of Department / Salient Features

The department strongly believes in its students’ ability to leave a global footprint, assisted by a highly qualified pool of professors The prominent features of the department cover continuous evaluation of student performance through well planned assessment procedures and allow a student to progress at a pace suited to his/her individual ability and convenience. Experienced and well qualified resource persons encourage the students to accomplish a high-level knowledge and skills on recent trends in computing technologies and innovations. The students are encouraged to take up challenging projects. All students are mentored to make them follow a philosophy that does not set boundaries to their ability to learn. The department places a strong emphasis on imparting practical education by carefully administering proper lab work to complement their theoretical knowledge.

We aim at excellent academic performance combined with all round development through a range of events and activities which will be translated into good placements of our students. Our students’ placement to different high-ranking companies have been ascertaining the sincere efforts put by the department at many levels. Department conducts a number of co-curricular and industry relevant programs including seminars, workshops and guest lecturers to improve the competence and employability of its students.

Expert Lectures

Workshop on Python Programming

Workshop and hands on Open Source Technology

Workshop on Web Technology HTML, CSS, Java Script

Workshop on Machine Learning


Group Discussion

Technical Discussion

Department Activities

Seminar on Machine Learning

Technical Talk

Felicitation Program

@Placement Day
@ Coding Soul

Department of Computer Science & Engineering

Computer science is the study of the theoretical foundations of information and computation and of practical techniques for their implementation and application in computer systems. Computer Engineers invent algorithmic processes that create, describe, and transform information and formulate suitable abstractions to model complex systems. Computer science has many sub-fields; some, such as computational complexity theory, study the properties of computational problems, while others, such as computer graphics, emphasize the computation of specific results.


To impart quality technical education for creating competent computer professionals and  entrepreneurs.


M1. To provide an appropriate environment to develop quality software professionals.

M2. To provide technical expertise with advanced specialized training in latest technologies for

developing successful technocrats with human values.

M3.To motivate students to work on creative ideas to enhance entrepreneur skills in cooperation with industries and society

Dr. Atul Agrawal is an Associate Professor, CSE Department, Sushila Devi Bansal College of Engineering, Indore (MP). He has 15 years of teaching experiences in reputed group like Bansal Group of Institutions, Bhopal, Acropolis Group, Indore. His area of interest in Machine Learning, Data Science, Data Analytics, Theory of Computation, DBMS, R, C, C++, Java, Python. He has one patent and various research paper in international conference and journals. He is a life time member of ISTE and International Association of Engineers Origination.


Cutting edge technology offered

Artificial Learning, Machine Learning, Deep Learning, Data Science, Networks, Big Data, AWS
Student Clubs IOT Club, Coding Club, Women’s Club, Fitness Club, Cultural Club
MoU’s (Industry/Institutions/Organizations) Robotronix Engineering Tech Pvt. Ltd.

Faculty areas of expertise

Machine Learning, Big Data Analyics, ImageProcessing, Software Engineering, Cloud Computing, Data Mining, Computer Network, Data Structure, DBMS, Analysis and Design of Algorithm
Copyrights & Patents 2 Patent
Software Development Student Feedback System,

Students’ grievances record System,

Student Registration App.

Counselling App

Departmental Magazine/Newsletter


Students and Faculties of Computer Science and Engineering Department publish article in college’s Newsletter Abhivyakti.
Training Placement Oriented Technical Training (C, C++, Java, Python, SQL)
Extra Activities Technical Workshops, FDP’s, Webinar’s, Industrial Visit, Expert Lectures by Alumina
Alumina Network  Huge Alumina Network of more than 500 Students (Please Check)
Online Learning System Canvas BGI LMS


Programme Educational Objectives

PEO1:  To produce graduates who have strong foundation of technical knowledge and skills in the field of computer science and engineering.

PEO2:  To produce graduates who are employable in industries/public sector/research organizations or work as an entrepreneur.

PEO3:  To produce graduates who can provide solutions to challenging problems in their profession by applying computer engineering theory and practices.

PEO4:  To produce graduates who can provide leadership and are effective in multidisciplinary environment.

Program Outcomes

  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.

Program Specific Outcomes

PSO  1: Should be able to understand the concepts of theoretical working of computing-machines and their applications in the field of software technology, application programming, system programming, Data analytics/machine learning , networking and other relevant areas.

PSO 2: Should have an ability to apply  knowledge of automation and usage of modern hardware & software tools related to Computer Science Engineering for solving real world problems.

PSO 3: Should have the capability to analyze, comprehend, design & develop computing systems for a variety of engineering applications and thus demonstrating professional ethics & concern for societal well being.

PS04:Make use of modern languages and tools such as HTML5, CSS, MongoDB, IOS, IOT, Android, Hadoop; Work on newer computing paradigms such as Cloud Computing, Big Data and Google Applied CS