Course Outcomes (COs):
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Course Outcomes |
Learning and teaching strategies |
Assessment Strategies |
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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 |
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.
E-resources:
Links:
[1] https://www.management.iisuniv.ac.in/courses/subjects/seminar-presentation-and-viva-voce-10
[2] https://etext.sagepub.in/etext
[3] http://www.search.proquest.com/
[4] http://prowessiq.cmie.com/
[5] http://www.scirp.org/
[6] https://www.management.iisuniv.ac.in/academic-year/2022-2023