Seminar Presentation and Viva Voce

Paper Code: 
MIV 228
Credits: 
2
Contact Hours: 
30.00
Max. Marks: 
100.00
Objective: 

Course Outcomes (COs):

 

Course Outcomes

Learning and teaching strategies

Assessment Strategies

On completion of this course, the students will be able to;

CO    95:    Analyze   current trends, issues and researches related to various aspects of Management.

CO 96: Apply Descriptive as well as statistical tools for data analysis.

CO 97:    Investigate    a  research problem based on primary data.

Approach in teaching:

Lab class, regular interaction with Supervisor

Learning activities for the students: Data     analysis exercises, Presentations

Viva and Presentation

 

15.00
Unit I: 

Questionnaire Designing-Preparation of Questionnaire (Google form/MS Word)
Data Collection and entry-Collection of data, Coding of data and data entry into Software

15.00

Descriptive analysis of data using Software-(Measures of central tendency, Measures of dispersion) Statistical analysis of data using Software (Parametric and Non-Parametric tests)
Apart from the 30 hrs. lab sessions, students are required to devote 4 hrs. per week under the supervision of their respective supervisors on regular basis for guidance on report.

References: 

Suggested Readings:

·     Andy Field, Discovering Statistics using IBM SPSS Statistics, https://etext.sagepub.in/etext

·     G N Prabhakara, Synopsis Dissertation and Research to PG Students, Jaypee Brothers

E-resources:

·     ProQuest, www.search.proquest.com

·     Prowess, http://prowessiq.cmie.com

·     Scientific Research Publishing, http://www.scirp.org, Open access

 

ACADEMIC YEAR: