Questions and Answers
What is the primary aim of Program Education Objectives (PEO)?
Which PEO focuses on encouraging students to take up research and development?
Which Program Specific Outcome (PSO) emphasizes practical, analytical, and programming skills?
Which PEO aims to prepare students to be balanced individuals excelling in their profession?
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What aspect of communication does PEO - 4 aim to develop?
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In the correlation with the Mission of the Department, which PEO has a high correlation with Mission Statement 2?
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Which PSO prepares graduates to solve problems and evaluate information?
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What does a high correlation in the context of PEO and Mission Statements indicate?
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What does PEO stand for in the provided content?
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Which of the following represents the highest level of PEO?
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Which level of PEO specifically addresses the application of concepts?
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What does the 'H' in the PEO levels likely stand for in this context?
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Which of the following options is linked with related disciplines according to the PEO levels?
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How many Discipline Specific Core Courses are included in the B.C.A Data Science program?
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Which course focuses on the role of statistics in artificial intelligence?
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What is the weekly hour structure for the course 'Deep Learning with Keras and TensorFlow'?
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Which of the following is a Discipline Specific Elective Course?
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What is the total number of credits for the program?
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Which course covers 'Digital Transformation'?
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How many Discipline Specific Elective Courses must a student complete?
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Which course involves programming using Python?
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Which course deals with real-world computer vision applications?
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What is the primary focus of the course 'Introduction to Cloud Computing'?
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Which course is associated with Artificial Intelligence enhancements through mathematics?
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Which course is focused on statistical analysis within business contexts?
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What type of learning does the course 'Deep Learning' primarily address?
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Which course focuses on the integration of Internet of Things with Machine Learning?
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What is a focus of the modern poetry curriculum?
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Which of the following is associated with the evolution of Tamil poetry?
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What role do female poets play in contemporary Tamil literature?
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What is one characteristic of modern poems discussed?
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What theme is commonly explored in newer poetry forms?
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Which aspect is NOT a focus in the study of Tamil poetry?
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What distinguishes contemporary Tamil poetry from its predecessors?
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In which area is there a significant focus in modern Tamil poetry?
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What is a common misperception about new forms of Tamil poetry?
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Which poet’s work is commonly explored within this curriculum?
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Which course has a high focus on both programming and data science concepts?
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What skill is emphasized in the 'Machine Learning' course?
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Which course introduces the use of cloud computing in data science?
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Which course links closely to skills in modeling and procedural knowledge?
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Which course provides foundational skills in data structures?
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In which course is communication skill development rated the highest?
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Which course is expected to enrich problem-solving skills significantly?
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What is the primary focus of the 'AI and Intelligent Automation for Enterprise' course?
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Which course is known to enhance ICT skills significantly?
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Which course has a high emphasis on investigative skills?
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Which course is specifically tied to enhancing procedural knowledge?
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Which course is focused on providing skills in statistical analysis?
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Which course has a low emphasis on life long learning?
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Study Notes
Programme Overview
- B.C.A Data Science program comprises Discipline Specific Core (C) and Elective (D) courses.
- Total of 20 core courses and 5 elective courses.
Core Courses (C)
-
Programming Using Java
- 3 hours Lecture, 0 Tutorial, 3 Practical, 2 Credits
-
Fundamentals of Data Science
- 3 hours Lecture, 0 Tutorial, 3 Practical, 2 Credits
-
Role of Mathematics in AI
- 4 hours Lecture, 0 Tutorial, 0 Practical, 2 Credits
-
Introduction to Computing With Distributed Data Processing
- 3 hours Lecture, 0 Tutorial, 3 Practical, 2 Credits
-
Fundamentals of Data Structures and Algorithms
- 3 hours Lecture, 0 Tutorial, 3 Practical, 2 Credits
-
Role of Statistics in AI
- 4 hours Lecture, 0 Tutorial, 0 Practical, 2 Credits
-
Data Engineering for Enterprise
- 3 hours Lecture, 0 Tutorial, 3 Practical, 2 Credits
-
Data Base Management System
- 3 hours Lecture, 0 Tutorial, 3 Practical, 2 Credits
-
Machine Learning
- 4 hours Lecture, 0 Tutorial, 0 Practical, 2 Credits
-
Deep Learning
- 3 hours Lecture, 0 Tutorial, 3 Practical, 2 Credits
-
Advanced Computing With Python and GCP
- 3 hours Lecture, 0 Tutorial, 3 Practical, 2 Credits
-
Fundamentals of Natural Language Processing
- 4 hours Lecture, 0 Tutorial, 0 Practical, 2 Credits
-
Deep Learning with Keras and Tensorflow
- 3 hours Lecture, 0 Tutorial, 3 Practical, 2 Credits
Elective Courses (D)
-
Data Warehousing and Data Mining
- 3 hours Lecture, 0 Tutorial, 2 Practical, 4 Credits
-
Introduction to Cloud Computing
- 3 hours Lecture, 0 Tutorial, 2 Practical, 4 Credits
-
Machine Learning for Enterprise
- 3 hours Lecture, 0 Tutorial, 2 Practical, 4 Credits
-
Blockchain Technology
- 3 hours Lecture, 0 Tutorial, 2 Practical, 4 Credits
-
Digital Transformation
- 3 hours Lecture, 0 Tutorial, 3 Practical, 4 Credits
-
Real World Computer Vision Applications
- 3 hours Lecture, 0 Tutorial, 2 Practical, 4 Credits
-
Technology Leadership and Innovation Management
- 3 hours Lecture, 0 Tutorial, 2 Practical, 4 Credits
-
Social Media and Text Analytics
- 4 hours Lecture, 0 Tutorial, 0 Practical, 4 Credits
-
Statistical Analysis and Business Applications
- 4 hours Lecture, 0 Tutorial, 0 Practical, 4 Credits
-
Applications of Edge IoT and ML
- 3 hours Lecture, 0 Tutorial, 2 Practical, 4 Credits
Total Learning Credits
- Program consists of a total of 20 learning credits across core and elective courses.### Program Articulation Matrix
- Lists various courses with their corresponding program learning outcomes.
- Utilizes a grading system for competencies: High (H), Medium (M), and Low (L).
Course Codes and Names
- Courses span topics including Programming with Java, Data Science, AI Mathematics, Data Structures, Machine Learning, and Deep Learning.
- Electives and language courses (Tamil, Hindi, French) are also included.
Competency Areas Addressed
- Ability to Utilize Knowledge: Critical for practical application in real-world scenarios.
- Fundamental Knowledge: Essential understanding of core principles applicable across disciplines.
- Application of Concepts: Ability to apply theoretical knowledge to solve problems.
Skills Development Focus
- Analytical Skills: Evaluating data effectively to derive meaningful insights.
- Communication Skills: Engaging effectively in diverse environments.
- Professional Behavior: Emphasizing ethical practices and professional conduct.
Specialized Skills
- Investigative Skills: Encourages exploration and research within various domains.
- ICT Skills: Proficiency in technology and digital tools.
- Lifelong Learning: Cultivating an ongoing habit of acquiring new knowledge.
Course Learning Outcomes
- Each course outlines specific learning outcomes targeting skill acquisition and application.
- Courses are designed to enhance creativity, cultural understanding, and advanced analytical thinking.
Internship and Project Components
- Internships (I, II, III): Practical application of knowledge in industry settings.
- Mini Project and Project Phases I & II: Hands-on experience, promoting teamwork and project management.
Overall Program Average
- The matrix reflects a high level of engagement (H) across key learning outcomes and competencies, indicating a robust program structure aimed at comprehensive student development.### Literary Movements and Modern Poetry
- Modern poetry history in Tamil literature reflects evolving cultural values and artistic expressions.
- Important figures in modern Tamil poetry include Rajathavidhyam and Kalanitham, who adopted contemporary themes in their works.
Contemporary Tamil Poetry
- Contemporary Tamil poetry emphasizes various forms and styles, including public and personal themes.
- Poets are exploring innovative structures and formats, breaking away from traditional norms.
Female Poets and Their Contributions
- The emergence of female poets in modern Tamil literature highlights the role of women in expressing diverse narratives.
- Their poetry often portrays societal challenges and female empowerment, advocating for change.
Bharathiyar's Impact
- Bharathiyar extensively influenced modern Tamil poetry from 184-186, engendering themes of freedom and justice.
- His work embodies the spirit of Tamil cultural pride and resistance against oppression.
Cultural Context in New Poetry
- New poetry emphasizes local themes while integrating wider literary influences, creating a unique blend of cultural identity.
- The interaction of traditional Tamil poetic forms with modern sensibilities demonstrates societal evolution.
Program Education Objectives (PEO)
- PEO focuses on equipping students with data science skills tailored to the dynamic business landscape.
- Emphasis on analytical, design, development, and testing skills, preparing graduates for technical roles.
Program Specific Outcomes (PSO)
- PSO asserts that graduates will possess foundational knowledge in data science, ensuring a versatile skill set.
- Emphasis on problem-solving ability, programming expertise, and effective communication skills in the industry.
Alignment of PEOs with Department Mission
- High (H), Medium (M), and Low (L) correlations demonstrate how effectively program missions align with educational objectives.
- Objectives reflect a commitment to nurturing holistic individuals ready to excel in their careers while contributing to society.
Overall Commitment to Student Development
- The curriculum aims to foster critical thinking, independence, and effective communication in professional settings.
- Graduates are expected to leave a significant impact within their respective fields, contributing positively to the community.
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