Courses Available

Department Overview

The mission of the Deptt. Of Computer Science & Engineering is to persistently strive for achieving excellence in computing disciplines. It is being pursued through its spectrum of academic programmes in computing of contemporary standards. The sustained effort is to produce computing graduates with potential to design and develop systems involving the integration of software and hardware devices; innovative approaches to programming and problem solving as well as creative ways to use Computers; Large scale software systems; and computing infrastructure of an ac.inanization. The Department of Computer Science & Engineering was established to meet the demand for well-qualified computer professionals and conceived in the year 2011. At present, the Department of Computer Science & Engineering headed by Prof.(Ms.) Rashami Verma has more than 400 students and 24 core faculty members apart from many visiting professors, distinguished professionals from industry, eminent researchers and teaching/ research assistants. With an aim to carve a niche for itself in Computer Science and allied domains, the School strives to

• Become a pioneering world-class centre of excellence in education and research through collaborative, consultative and participatory approaches.
• Nurture effective capabilities for the development of high quality technical and scientific manpower to meet the challenges of the knowledge era.
• Provide cost-effective Information and Communication Technology (ICT)-based solutions and value-added services to a variety of ac.inanisations and to meet the expectations of stakeholders.
• Foster learning and creative community that strives to continuously advance the frontiers of knowledge and promote the deployment and usage of ICT-based applications for betterment of society.

The Department of Computer Science & Engineering offers undergraduate programmes as Bachelor of Technology (B.Tech-Computer Science & Engg.) with intake of 60 students, B.Tech(CSE-Artificial Intelligence & Machine Learning) with intake 60, B.Tech(CSE- Data Science) with intake 60 and Bachelor of Computer Applications (BCA) with intake 120 And Postgraduate programmes as MTech (CSE) with intake 36. All engineering programmes have been affiliated with Maharishi Dayanand University, Rohtak (Haryana) and Approved by All India Council of Technical education, New Delhi and Department of Technical Education, Haryana. The curricula of programmes have been designed to cater to the ever changing needs and demands of IT industry. The focus is on holistic learning and empowering students to make significant contributions at all levels. The cafeteria system of electives gives a handful of choices for students to develop expertise in their area of interest The Department of Computer Science & engineering has one of the best infrastructure including domain-specific labs like as Red Hat, Microsoft and Oracle. With an objective of developing core competence in the respective subject matter specialisations and special interest groups for learning newer technologies, the Department has formed the Society/groups to nurture the young talent in the required domain.

Vision

To become leaders in providing academic excellence with career development skills and nurturing the students to compete globally with the curriculam that imparts theoretical foundations and hands on experience of Computer Science and Engineering and also build social and ethical values needed to make significant contributions to the society.

Mission

• To achieve Academic excellence through innovative learning practices.
• To collaborate with industries for giving opportunities to students to develop their employability and entrepreneurial skills.
• To prepare students to adapt to the challenges of an ever changing market needs.
• To enrich students with professional ethical values and high integrity to serve the society.

Program Educational Objectives (PEO)

• To excel in their professional career with expertise in providing solutions to Computer Science and Technology problems.
• To exhibit adaptive and agile skills in the core area of Computer Science & Engineering to meet the technical and managerial challenges.
• To demonstrate interpersonal skills, professional ethics to work in a team to make a positive impact on society.

Program Outcomes (POs)

• Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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 norms of the engineering practice.
• Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• 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.
• 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-long learning in the broadest context of technological change

PSOs

• Computer Science and Engineering graduate should be able to understand, analyze and develop computer programs in the areas related to algorithms, IOT, multimedia, web designing, real time problems, virtual reality, cloud computing and networking for efficient design of computer-based systems.
• The ability to acquaint with the contemporary trends in industrial/research and innovate solutions for real life problems, achieving additional expertise through add-on programs like personality development programs, preparation for higher exams, placement-oriented services, workshops.
• The ability to employ software engineering principles, modern computer languages, environments, and platforms in creating innovative career paths to be a lifelong learner and a zest for higher studies and also to act as a good citizen by inculcating in them moral values & ethics.

Faculties

Labs & Infrastrutures

Computing Centres

The computing centre of Department of Computer Science and Engineering supports 180 clients across the various laboratories with an IBM XEON-X3400 server. The Laboratories are installed with Thin Client, a centrally managed tool/system for internet browsing, HCL Busy Bee (C2D) and having Wi-Fi connectivity. OFC based 20Mbps Internet facilities have been provided throughout the premises. The department of Computer Science & Engineering have following laboratories:

• Computer Programming / Programming Laboratory
• Data Structure Laboratory
• Database Lab/Oracle Laboratory
• Internet Lab/Computer Centre
• Microsoft Laboratory
• Advance Java Lab
• Artificial Intelligent Systems lab
• Computer Networks Lab
• Soft Computing Lab/Neural Network Lab
• Operating Systems Lab
• Visual programming Lab
• Research Lab
• Open Source Programming Laboratory

Achievers- Students & Faculty

Downloads

M.Tech CSE Syllabus

B.Tech CSE Syllabus

B.Tech CSE Syllabus

B.Tech Data Science Syllabus