Overview
The Computer Science Engineering (CSE) Data Science course offered at Anurag University is designed to provide students with a strong foundation in computer science and data science principles. The program combines the core concepts of computer science with advanced techniques in data analysis, machine learning, and data visualization.
Outcome Based Education
PEO (Programme Educational Objectives)
1. Graduate are successful in their profession with strong basics in engineering, science, and technology
2. Graduates be able to analyze, design and develop Data science based solutions for real world problems
3. Be able to work productively in supportive and leadership roles on multidisciplinary teams with effective communication and team work skills with high regard to legal and ethical responsibilities
4. Be able to embrace lifelong learning to meet ever changing developments in a data-centric world
PO (Program Outcome)
1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems.
2. Problem analysis: Identify, formulate, 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 public health and safety, and 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 t h e 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 modelling 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 the 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.
PSO (Program Specific Outcome)
1. Professional Skill: The ability to understand, analyze and develop software solutions.
2. Problem-Solving Skills: The ability to apply standard principles, practices and strategies for software development
3. Successful Research: The ability to conduct research to advance the state of the art in the domain of Computer Science.
Honours & Minors
About B. Tech. (Honors/Minor)
AICTE in its ‘Model Curriculum – 2018’ for UG Program in Engineering & Technology has recommended that a student will be eligible to get an undergraduate degree with ‘Honors’ or ‘Minor Engineering’ if he/she completes and acquires an additional 18-20 credits. AU gives its students the opportunity to get a degree in B. Tech. (Hons.) or B.Tech. (Minor Engg.), by earning 18 additional credits of professional courses. These additional credit courses shall not be part of the regular curriculum
Eligibility
- B. Tech. (Hons./Minor Engg.) degree is open to all current Engineering /Technology undergraduates who have taken admission on or after the academic year 2022 – 23
- A B. Tech. (Reg.) student should secure a CGPA of at least 7.5 by the end of 2nd sem without any backlogs.
- A B. Tech. (LES) student should secure a SGPA of at least 7.5 in the 3rd sem without any backlogs.
- Students securing ‘F’ grade in any previous semester(s) are not eligible for registration.
The following Honors/Minors are being offered by various departments
Artificial Intelligence & Machine Learning
Honors
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Minor Engg. (Offered to other depts)
Artificial Intelligence
Data Science
Honors
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Minor Engg. (Offered to other depts)
Artificial Intelligence
Computer Science & Engg.
Honors
Data Science
Minor Engg. (Offered to other depts)
CSE
Information Technology
Honors
Cyber Security
Minor Engg. (Offered to other depts)
Information Technology
Chemical Engg.
Honors
Green Tech. & Sustainability Engg.
Minor Engg. (Offered to other depts)
Material Science & Engg.
Civil Engg.
Honors
Smart City Planning & Development
Minor Engg. (Offered to other depts)
Smart City Planning
Electronics & Communication Engg.
Honors
AI for Signal Processing
Minor Engg. (Offered to other depts)
Robotics
Electrical & Electronics Engg.
Honors
1. Electric Vehicle 2. Smart Grid
Minor Engg. (Offered to other depts)
Electric Vehicle
Mechanical Engg.
Honors
Additive Manufacturing
Minor Engg. (Offered to other depts)