This course will enable the students to –
Course Outcomes:
| 
 Course  | 
 Course outcome (at course level)  | 
 Learning and teaching strategies  | 
 Assessment Strategies  | 
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 Paper Code  | 
 Paper Title  | 
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 MTM 228  | 
 Seminar Presentation and Viva Voce  | 
 CO 96Analyze current trends, issues and researches. CO 97Apply Descriptive statistics and machine learning using statistical tools SPSS/ Orange. CO 98Investigate 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:
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 Unit  | 
 Contents  | 
 No of Lectures  | 
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 I  | 
 Regression- Simple Linear Model, Linear Model with several Predictors, Model estimation, Assessing Goodness of Fit, R and R square, Assessing individual Predictors Bias in Regression Model- Unusual cases, Generalizing the Model, Sample size in Regression, Assumptions, What if assumptions are violated Interpreting Regression Model –.ptive, Summary of Model, Model Parameters, Excluded variables, Assessing Multicollinearity, Logistic Regression.  | 
 
 15  | 
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 II  | 
 Moderation and mediation of variables Exploratory Factor Analysis- Discovering Factors, Running the analysis, Interpreting output from SPSS, Reliability Analysis, How to report Factor analysis.  | 
 
 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.
•	IBM SPSS Statistics 20 Core System User’s Guide
•	IBM SPSS Modeler 18.0 User's Guide
•	G N  Prabhakara, Synopsis Dissertation And Research To Pg Students, Jaypee Brothers Medical Publishers; second edition (2016)
Links:
[1] https://tourism.iisuniv.ac.in/courses/subjects/seminar-presentation-and-viva-voce-5
[2] https://tourism.iisuniv.ac.in/academic-year/2021-2022