Thesis Presentation

Paper Code: 
24DATG807
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

Course Outcomes 

Learning and teaching strategies

Assessment Strategies 

Course Code

Course title

 

24DATG807

 

 Dissertation- Thesis Presentation

CO259:  Develop proficiency in analyzing and interpreting research data using statistical tools for effective thesis presentation

CO260: Enhance oral communication skills to present research findings with clarity, coherence, and persuasive impact.

CO261: Acquire knowledge and practical application of statistical techniques and tools relevant to the research field

CO262: Cultivate critical thinking abilities to evaluate and synthesize research data in the context of the thesis presentation.

CO263: Foster professional and ethical conduct in the process of analyzing, interpreting, and presenting research data.

CO264: 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,

Seminar

presentation

, Giving

tasks.

   

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: