Dissertation- Thesis Presentation (Practical)

Paper Code: 
24DFSG817
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

Course Outcomes 

Learning and teaching strategies

Assessment Strategies 

Course Code

Course title

 

24DATG817

 

 Dissertation- Thesis Presentation

 (Practical)

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

 

 

Learning

activities

for the

students:

Self learning

Assignments,and  

Presentation.

 

 

   

CA 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: