As of my last update in April 2023, I don't have access to real-time databases or specific university course syllabi, including the BCA in Data Science course at Tilak Maharashtra Vidyapeeth. For the most accurate and detailed syllabus, I recommend contacting the university directly or visiting their official website. However, I can provide a general outline of what a BCA in Data Science program might include based on common subjects and topics covered in similar programs. Please note, this is a generic template and not specific to Tilak Maharashtra Vidyapeeth.
Semester | Subjects | Topics |
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Semester 1 | Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies | Basics of Data Science, Linear Algebra, Calculus, Python/R programming, Communication Skills, Environmental Awareness |
Semester 2 | Database Management Systems, Data Structures and Algorithms, Probability and Statistics, Professional Ethics, Elective I | SQL, NoSQL, Trees, Graphs, Descriptive Statistics, Inferential Statistics, Ethical Issues in IT, Choice based subject |
Semester 3 | Machine Learning, Big Data Analytics, Web Technologies, Operating Systems, Elective II | Supervised Learning, Unsupervised Learning, Hadoop, Spark, HTML, CSS, JavaScript, Linux, Windows, Choice based subject |
Semester 4 | Deep Learning, Cloud Computing, Data Visualization, Research Methodology, Elective III | Neural Networks, AWS, Azure, Tableau, Power BI, Research Techniques, Choice based subject |
Semester 5 | Artificial Intelligence, Cyber Security, Project Management, Internship, Elective IV | NLP, Robotics, Encryption, Decryption, Agile, Scrum, Real-world experience, Choice based subject |
Semester 6 | Capstone Project, Elective V, Elective VI | Comprehensive project integrating course learnings, Two choice based subjects |
This table is a simplified example and should be adapted based on the actual curriculum provided by Tilak Maharashtra Vidyapeeth for their BCA in Data Science program. Electives and specific topics can vary widely between institutions.