Significance of Doing Computer Science Engineering in India

Computer Science Engineering (CSE) is an academic curriculum that combines the fields of Computer Engineering and Computer Science, solving complex organizational problems using technical solutions. It is one of the most popular courses among engineering students. CSE is an enthralling and unique innovative subject that encourages students to pursue creativity and technology.

The course covers a wide range of subjects while highlighting the fundamentals of computer programming and networking. Logic, algorithms, abstraction, and computability are only a few of the concepts covered in Computer Science. Including software engineering, networking, distributed databases, information processing, programming languages, and various other topics. Computer science is the process of solving complex organizational problems using technical solutions.

The reason this is such an important field is that computers and technology have been integrated into virtually every economic sector, industry, and even organization operating in the modern economy ,allowing students to work as Systems Analysts, Web Developers, Finance Programmers, Software Engineers, Product Managers, Game Developers, and other roles.

What is the difference between Computer and IT engineering?

The difference between Computer and IT engineering is that computer scientists design and develop the software programs that IT professionals use and maintain.

A Computer Engineering degree helps the students to choose the correct designpatterns, algorithms and data structures for programs, by using programminglanguages, usually C++, Python or Java. A professional software developer shouldknow several other languages, including HTML, CSS, JavaScript, MySQL, PHP,Python and Java. The IT professionals must be very familiar with using operatingsystems and server software, including Linux, Apache, Open SSL, Windows Server,Oracle, MySQL, and Microsoft SQL Server.

Recent trends and future scope Automation, machine Learning, AI, DataScience, Cyber Security and digital platforms are few of the recent breakthroughs incomputer science that have broadened its reach.

Data Science involves using Machine Learning that enables customers to produce tailored specific products according to their requirements. Like, the recommendation system used by e-commerce websites provides a personalized and user-friendly insight based on their previous purchase. With the help of data science, computers have been able to understand and analyze human decisions and allow them to make data-driven decisions for the data-driven technologies like automation and artificial intelligence.

Vision:

The vision of the Department of Data Science is to impart quality education and conduct research relevant to prepare students create a first-class academic department that trains the next generation of students as data analytics and researchers by providing total solution in societal aspects.

Mission:

M1:To develop skilled data scientists with innovative and cognitive skills who can effectively solve challenges in data analytics through comprehensive education and practical training in statistical analysis, machine learning, data visualization, and data manipulation

M2:To Inculcate the seed of knowledge by providing industry conducive environment and excel in data driven world.

M3:To provide an excellent infrastructure, facilities and ambience to nurture the young professionals.

M4:Committed to provide professionals with socio-disciplinary attitude and acquire professional ethics.

Program Specific Outcomes (PSO's)

A graduate of the Computer Science and Engineering (Data Science)Program will:

Program Outcomes (PO's)

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 engin eering 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 cons ideration 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 releva nt 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 engine ering 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.

Objectives Of Computer Science Engineering Laboratories:

Core Laboratory courses include Programming Languages, Computer Architecture, Object Oriented Analysis and Design, Networking Technologies, Database Management System, Cloud Computing and Artificial Intelligence. The students will be able to understand Hardware components and inter dependencies, Perform Hardware troubleshooting, Safeguard computer systems from viruses/worms, Document/ Presentation preparation, Perform calculations using spreadsheets. The students will be given hands – on experience and train them on the concepts of programming languages, usually C++, Python or Java and familiar with using operating systems and server software, including Linux, Apache, Open SSL, Windows Server, Oracle, MySQL, and Microsoft SQL Server.The students will be able to choose the correct design patterns, algorithms and data structures for programs in problem- solving and basic time/space complexity analysis.