Course abstract
Data driven decision making is the state of the art today. Engineers today gather huge data and seek meaningful knowledge out of these for interpreting the process behaviour. Scientists do experiments under controlled environment and analyse them to confirm or reject hypotheses. Managers and administrators use the results out of data analysis for day to day decision making. As the data collected and stored are multidimensional, to extract knowledge out of it requires statistical analysis in the multivariate domain. The aim of this course is therefore to build confidence in the students in analysing and interpreting multivariate data. The course will help the students by:
- (i) Providing guidelines to identify and describe real life problems so that relevant data can be collected,
- (ii) Linking data generation process with statistical distributions, especially in the multivariate domain,
- (iii) Linking the relationship among the variables (of a process or system) with multivariate statistical models,
- (iv) Providing step by step procedure for estimating parameters of a model developed,
- (v) Analysing errors along with computing overall fit of the models,
- (vi) Interpreting model results in real life problem solving, and
- (vii) Providing procedures for model validation.
Course Instructor
Prof. Jhareswar Maiti
Prof. Jhareswar Maiti PhD, Professor, Department of Industrial & Systems Engineering, Indian Institute of Technology (IIT), Kharagpur, India has more than fifteen years of teaching, research and consulting experience on statistical modeling of production and service systems in the areas of Quality Management, Safety Management, Work System Design, and Asset Management. His current research and teaching interests encompass applied data analytics including statistical modeling, machine learning and data mining applications for prediction and decision making. He has published more than 70 papers in international and national journals of repute and more than 30 papers in conference proceedings. Till date, he has supervised 10 PhD candidates to successful completion and currently supervising 8 PhD research candidates. He has been executing a number of Industry-sponsored consulting and Government-funded research projects. He has organized 15+ training programmes and short-term courses for industry participants. A 42 lecture series on "Applied Multivariate Statistical Modeling" of Prof Maiti is available through youtube uploaded by NPTEL (national programme on technology enhanced learning). The current profile of Prof Maiti can be found at IIT Kharagpur website.More info
Teaching Assistant(s)
No teaching assistant data available for this course yetCourse Duration : Jan-Apr 2021
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Syllabus
Enrollment : 18-Nov-2020 to 25-Jan-2021
Exam registration : 15-Jan-2021 to 12-Mar-2021
Exam Date : 25-Apr-2021
Enrolled
1507
Registered
38
Certificate Eligible
23
Certified Category Count
Gold
2
Silver
6
Elite
8
Successfully completed
7
Participation
2
Success
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Category : Successfully Completed
Elite
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Category : Elite
Silver
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Category : Silver
Gold
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Category : Gold
Legend
AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
Final Score Calculation Logic
- Assignment Score = Average of best 8 out of 12 assignments.
- Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Applied Multivariate Statistical Modeling - Toppers list
Enrollment Statistics
Total Enrollment: 1507
Registration Statistics
Total Registration : 38
Assignment Statistics
Assignment
Exam score
Final score
Exam score
Final score