Multivariate Data Analysis detailed syllabus for Robotics & Automation Engineering (Robotics) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Robotics students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Robotics & Automation Engineering 7th Sem scheme and its subjects, do visit Robotics 7th Sem 2021 regulation scheme. For Open Elective-IV scheme and its subjects refer to Robotics Open Elective-IV syllabus scheme. The detailed syllabus of multivariate data analysis is as follows.
Course Objectives:
Download the iStudy App for all syllabus and other updates.
Unit I
INTRODUCTION Uni-variate, Bi-variate and Multi-variate techniques – Classification of multivariate techniques -Guidelines for multivariate analysis and interpretation.
Unit II
PREPARING FOR MULTIVARIATE ANALYSIS Conceptualization of research model with variables, collection of data –Approaches for dealing with missing data – Testing the assumptions of multivariate analysis.
Unit III
Download the iStudy App for all syllabus and other updates.
Unit IV
LATENT VARIABLE TECHNIQUES Confirmatory Factor Analysis, Structural equation modelling, Mediation models, Moderation models, Longitudinal studies.
Unit V
ADVANCED MULTIVARIATE TECHNIQUES Multiple Discriminant Analysis, Logistic Regression, Cluster Analysis, Conjoint Analysis, multidimensional scaling.
Course Outcomes:
- Demonstrate a sophisticated understanding of the concepts and methods; know the exact scopes and possible limitations of each method; and show capability of using multivariate techniques to provide constructive guidance in decision making.
- Use advanced techniques to conduct thorough and insightful analysis, and interpret the results correctly with detailed and useful information.
- Show substantial understanding of the real problems; conduct deep analysis using correct methods; and draw reasonable conclusions with sufficient explanation and elaboration.
- Write an insightful and well-organized report for a real-world case study, including thoughtful and convincing details.
- Make better business decisions by using advanced techniques in data analytics. ‘
Reference Books:
Download the iStudy App for all syllabus and other updates.
For detailed syllabus of all the other subjects of Robotics & Automation Engineering 7th Sem, visit Robotics 7th Sem subject syllabuses for 2021 regulation.
For all Robotics & Automation Engineering results, visit Anna University Robotics all semester results direct link.