Seminar Presentation and Viva Voce

Paper Code: 
MFM 228
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

Course Objectives:

The objective of this course is to

  1. Create awareness in students about current trends, issues and researches
  2. Expose students to case studies /capstone project and enable them to prepare a report based on primary/secondary data

Course Outcomes (COs)

 

Learning Outcomes (at course level)

Learning and teaching strategies

Assessment Strategies

 
 

The student will be able to-

CO 81:  Awareness of current trends, issues and researches.

CO 82:  Apply Descriptive statistics and machine learning using statistical tools SPSS/ Orange.

CO 83:  Prepare a report based on primary or secondary data

Approach in teaching:

Lab class, regular interaction with Supervisor

Learning activities for the students:

SPSS exercises, Orange exercises ,Presentations

Viva and Presentation

 

 

15.00
Unit I: 
Regression

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 – Descriptives, Summary of Model, Model Parameters, Excluded variables, Assessing Multicollinearity,

Logistic Regression Analysis

15.00
Unit II: 
Moderation and mediation of variables Exploratory Factor Analysis

Moderation and mediation of variables

Exploratory Factor Analysis- Discovering Factors, Running the analysis, Interpreting output from SPSS, Reliability Analysis, How to report Factor analysis.

 

Essential Readings: 

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)

Academic Year: 
2020-2021
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