SEMINAR PRESENTATION AND VIVA VOCE

Paper Code: 
MHR 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;

Approach in teaching:

Lab class, regular interaction with Supervisor

Learning activities for the students:

Data analysis exercises, Presentations

Viva and Presentation

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.

 

 

15.00
Unit I: 
Unit 1

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
Unit II: 
Unit II

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.

 

Essential 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

 

References: 

E-resources:

 

Academic Year: 
2022-2023
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