Course Outcomes:
Course |
Course outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
|
Paper Code |
Paper Title |
|||
MTM 228 |
Seminar Presentation and Viva Voce |
CO 96 Analyse current trends, issues and researches. CO 97 Apply Descriptive statistics and machine learning using statistical tools SPSS/ Orange. CO 98 Investigate a research problem based on primary data. |
Approach in teaching: Lab class, regular interaction with Supervisor Learning activities for the students: SPSS exercises, Orange exercises ,Presentations |
Viva and Presentation |
Content: Each student will choose a topic in the beginning of the semester. They will be required to prepare a primary research report. 30 hours lab sessions are provided for hands on training on SPSS and systematic review of literature to the students as follows for covering the following:
Unit |
Contents |
No of Lectures |
I |
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 |
II |
Descriptive analysis of data using Software-(Measures of central tendency, Measures of dispersion) Statistical analysis of data using Software (Parametric and Non-Parametric tests) |
15 |
Apart from the 30 hrs. lab sessions, students are required to devote 2 hrs. per week under the supervision of their respective supervisors on regular basis for guidance on report.
Suggested Readings: