Dissertation- Thesis Presentation

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Paper Code: 
25DATG817
Credits: 
6
Contact Hours: 
90.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to effectively structure and deliver compelling dissertation or thesis presentations, showcasing their research findings with clarity and confidence.

Course Outcomes: 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course Code

Course title

25DATG817

 

 

Dissertation- Thesis Presentation

(Dissertation/Project)

CO319:  Develop proficiency in analyzing and interpreting research data using statistical tools for effective thesis presentation

CO320: Enhance oral communication skills to present research findings with clarity, coherence, and persuasive impact.

CO321: Acquire knowledge and practical application of statistical techniques and tools relevant to the research field

CO322: Cultivate critical thinking abilities to evaluate and synthesize research data in the context of the thesis presentation.

CO323: Foster professional and ethical conduct in the process of analyzing, interpreting, and presenting research data.

CO324: Contribute effectively in course-specific interaction

Approach in

teaching:

Interactive Lectures, Discussion, Tutorials, Reading

assignments ; Solving Questions.

 

Learning activities for the

students: Self learning assignments, Effective questions, Seminar

presentation.

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects.

 

The Thesis Presentation course is focused on developing effective oral communication skills for presenting research findings, analysis, and interpretation. Students will learn to use statistical tools for data analysis and incorporate the results into their presentations. The course covers organizing and structuring the content, enhancing presentation skills, engaging with the audience, and practicing professional and ethical conduct. By the end of the course, students will be equipped to deliver compelling thesis presentations with clear analysis, interpretation, and statistical evidence.

Academic Year: 
2025-2026