6_DM of IIMC Grades_6 Min Dream

Project Name: DM in IIM Grades

Team Number: 6

Team Members:       

461/15 – Hrishikesh Thite

                                                460/15 – Tarun Gupta

                                                457/15 – Sreekanth Reddy

                                                462/15 – Tushar

 

Problem Statement:

Data Mining and Analysis of grades of the students at IIM Calcutta across terms, courses, years and correlation with their previous and possibly future performance, with the evaluation process

 

Data Source:

The PGP Office will supply the grade data, presumably in an Excel format

 

In detail, we will get data from the PGP Office that has course-wise scores broken up by each of the evaluation criteria. This will be mined for trends across courses, across years, across students, across evaluation methodologies, across faculty, across scores in individual tests versus when they were conducted (in the course timelines) and so on. Hopefully, some interesting ideas will come to light.

 

Benefit / Utility:

There are many stakeholders in such a study:

·         Students: Trends mined will allow students to select their basket of courses (assuming that they want to maximize their scores). Students will also be able to profile themselves based on their past performance and get a prediction on their CG at IIMC.

·         Course Coordinators: They will be able to figure out the most effective evaluation methodology across courses (since we will correlate scores/grades with respect to no. of quizzes, exams, projects, reports etc. and the performance of the students in each of them)

·         PGP Office: Popularity across courses. Evaluation of faculty on the basis of performance of their students, isolated in a particular faculty’s course versus overall performance of the student across all courses.

·         Faculty: Student feedback as measured by their performance in the course versus the overall performance across all courses.

·         IIMC Branding: IIMC is often regarded as a Quant heavy campus. Is this really true? Is it because students perform better in quant courses? Or are they predisposed to quant studies?

 

Outcomes:

From the above exercise, we can publish two-three sets of analysed data – a student-edition, a faculty-edition and a PGP-office edition. Each will contain trends relevant to the target stakeholders.

 

Following are some of the trends we expect:

·         Absolute grades to improve over time – relative grades to remain more or less the same

·         Regular quizzes and projects with lesser emphasis on end-terms etc. will show better performance among students with a smaller spread across the scores

·         Fin-focused subjects to show up in the popularity pattern

·         DCM / MIS courses to show higher grades

·         Some sort of trend in the soft versus hardcore courses, not sure which way this will go

·         More popularity of the high scoring courses