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 |
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.
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