Seminar

Course Title: Seminar

Course No: BDS206

Nature of the Course: THEORY

Semester: 3

Full Marks: 25

Pass Marks: 10

Credit Hours: 1

Course Description

The seminar course provides an overview of data science concepts, tools, and applications, with a focus on current trends and research. Students will explore the data science and related field. The course emphasizes research, presentation skills, and critical evaluation of data-driven insights. Each student will prepare an individual seminar report on emerging topics in data science, fostering understanding of both technical and practical aspects of the field. The students will also present the seminar report in the school. Once accepted, the students will have to submit the final copy of the report in the school.

Course Objectives

By the end of the course, students should be able to: Understand the scope and fundamentals of data science and related fields. Explore emerging trends, tools, and applications in data science. Conduct research and critically evaluate data-driven insights from literature and datasets. Develop effective presentation and communication skills for technical content. Prepare a structured seminar report demonstrating both theoretical understanding and practical analysis. Engage in academic discussions and defend their findings during presentations.

Course Contents

4.1. Background and Motivation

4.2. Problem Statement

4.3. Objectives

5. Literature Review / Related Work

6. Methodology

7. Results and Discussion

8. Conclusion

9. References

Notes:

This syllabus follows the official Bachelor in Data Science curriculum of Tribhuvan University. In case of any doubt or revision, the university's published syllabus shall be considered authoritative.

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Seminar

Course Description

Course Objectives

Course Contents

Notes: