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Department of DS(CSE)

The CSE (Data Science) Department of BCET was started in the year academic year 2024-25 with an intake of 60 students. Currently the Department offers an under-graduate program (B. Tech) in Computer Science and Engineering (Data Science) with an intake of 60 students. Data Science is an emerging area of Computer Science and Engineering (CSE). The B.Tech program in Computer Science and Engineering (Data Science) is specifically designed and offered by affiliating university in response to the rapidly developing field of Data Science. Data Science is an interdisciplinary field of Computer Science, which continuously evolve as one of the most promising and in-demand career paths for skilled professionals. With the emergence of data-driven decision making and the increasing importance of big data analytics, CSE departments have incorporated data science as a crucial component of their curriculum.

The department is home to a group of highly skilled and experienced faculty members with knowledge in a variety of subjects. The department has well- equipped specialized laboratory facilities like Data Science, Programming with Objects, Database Management Systems, Web Application Development, Object Oriented Analysis and Design, Data Wrangling and Visualization, Foundations of Machine Learning, Natural Language Processing, Virtual Reality and Big Data and Analytics etc. The infrastructure and lab facilities are upgraded from time to time and provide good practical learning and innovative environment for the students and researchers. With the support of excellent laboratory facilities, the faculties with an ever-look-beyond attitude are destined to bring forth engineers to rise up to the challenge for the automation of any industries by adapting agile technologies by providing latest content and the context. Department is committed to impart Technical & Research based quality education and to develop innovative skills among the students and to enrich the academic activities through continual improvement in the teaching and learning processes. The students are encouraged to participate in Hackathons / Projects / Internships to improve their practical knowledge. The department also organizes regularly co-curricular and extra- curricular activities for the all-round development of students such as seminars, workshops, group discussions, etc. The department imparts specialized training to students to pursue their career in core and other IT related streams through various skill development activities.

The main objective of the department are:

  1. Career Focused Learning
  2. Enhance Knowledge
  3. Employment

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 Educational Objectives (PEO’S)

The Data Science Engineering graduate will:
PEO STATEMENTS
PEO1 Develop cutting-edge skills in data science and its technologies related to industry, such as machine learning, predictive analytic, and data engineering.
PEO2 Apply data engineering and data visualization techniques to discover, investigate, and interpret data.
PEO3 Graduates will have good and broad scientific and engineering knowledge base so as to comprehend, analyze, design and create novel products and solutions for real-time applications.
PEO4 Graduates will understand professional and ethical responsibility, develop leadership, utilize membership opportunities, develop effective communication skills, teamwork skills, multidisciplinary approach and life-long learning required for a successful professional career.

Graduates will have good and broad scientific and engineering knowledgebase so as to comprehend, analyze, design and create novel products and solutions for real-time applications.

Program Specific Outcomes (PSO's)

A graduate of the Computer Science and Engineering (Data Science)Program will:
PSO STATEMENTS
PSO1 Understand, design and analyze computer programs in the areas related to Algorithms, System Software, Web design, Big data, Artificial Intelligence, Machine Learning and Networking.
PSO2 Focus on assess computer science management policies in order to adequately protect an organization’s critical information and assets.
PSO3 Make use of appropriate tools for developing and evaluating Data Science systems to solve real world problems for better society.

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.

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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.

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