SEMINAR PRESENTATION AND VIVA VOCE

Paper Code: 
MBB 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

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:

 

 

Academic Year: 
2022-2023
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