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 1: Analyze current trends, issues and researches related to various aspects of Management |
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CO 2: Apply Descriptive as well as |
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statistical tools for data analysis |
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CO 3: Investigate a research problem |
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based on primary data. |
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Questionnaire Designing-Preparation of Questionnaire (Google form/MS Word)
Data Collection and entry-Collection of data, Coding of data and data entry into Software
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.