|
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. |
|
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.
• Andy Field, Discovering Statistics using IBM SPSS Statistics, https://etext.sagepub.in/etext [2]
• G N Prabhakara, Synopsis Dissertation and Research to PG Students, Jaypee Brothers
Links:
[1] https://advertising.iisuniv.ac.in/courses/subjects/seminar-presentation-and-viva-voce-3
[2] https://etext.sagepub.in/etext
[3] https://advertising.iisuniv.ac.in/academic-year/2022-2023