CG-Accumulator

A console-based software to help accumulate CGPA / SGPA data and extract useful results for the students of IIT KGP.

Important Features:

1. ######SEMESTER SUMMARISER

   Summarises the important aspects of a particular semester for a department based on previous year grades. The important aspects include:

   • Know the average SGPA for the semester (based on previous year) to get a fair idea about the semester's difficulty level.
   • Generating the grade distribution data for all the depth subjects in the previous year
   • Generate list of all the breadth and elective courses that were actually taken up by previous year students.
   • Generate the grade distribution for these breadth and electives based on students of a particular department only.
   • Sort the depth subjects in decreasing order of 'difficulty' based on a normalised score calculated from the grade distribution.
   • Find the subject that recorded most deregistrations, helping students know in advance about courses that are strict with attendance.
   • Find the most scoring subject - based on number of A's + Ex's, or find the subject with most F's involved.

2. ######DEPARTMENT RANKS

   • An important evaluation whenever a semester ends as the option to find the department rank on the basis of SGPA achieved in most recent results is available.
   • CGPA based evaluation is also available.
   • Generating a department rank list for the entire batch based on above parameters.
   • Choice available for finding department rank amongst BTech, Dual Degree and Both.

3. ######DEPARTMENTAL CGPA/SGPA PATTERN DETECTION

   • View average SGPA's and variances for all semesters of your department
   • Get a prediction of your SGPA for next semester based on previous year trends. [To be added]
   • Get a prediction of your SGPA for all upcoming semesters based on the batch that has completed all semesters [To be added]

4. ######CGPA / SGPA Lists

   • View full batch list for CGPA / SGPA History / SGPA
   • View above for an individual only
   • Get full performance detail for an individual.

5. ######OTHER FEATURES

   • KGP Election Special - Special feature to be added to be active only during elections in KGP to view academic records of candidates to avoid mud-slinging over false data. [To be added]

######Privacy Statement : The sole aim is to collect data and chalk out useful results and deductions for the benifit of the students.

###Working (Concise) ######Main Menu

######Semester Summariser Function - Summarises important aspects of a semester acc. to prevoius year grades.

• Grade List for All Subjects (Includeing all breadths and electives)

Selection - 3.0 -> Dep = CS -> Semester Num = 5

(PS : only 1 elective subject was available to this department for the 5th semester.)

• Calculation of difficulty score (relative) and Other useful information

######Departmental SGPA/CGPA Pattern Detection

• Average SGPA's and Variances for All Semesters of User's Department (Here - HS)

######Department Ranks

For batches, department ranks can be viewed among - 1) Only BTech 2) Only Dual Degree 3) Both

• Deparment Rank for the Batch 14HS Based on CGPA

• Department Ranks for the Batch 14NA (only BTech)

######CGPA / SGPA Lists

• CGPA List for a Batch

• SGPA List for a Batch

• Recent SGPA List for a Batch

######Inidividual Performance

Installation

####Windows

If Python not Installed

Warning : This is the older privacy version. Download the zip file (4 MB) from here, extract and run CG-Acc.exe.

You might get a Windows Smart Screen warning, however you can click on 'More Info' and then 'Run Anyway'.

If Python and Pip Installed

1. Enter pip install CG-Acc command to download this software

2. Use python -m CG-Acc command to run the application.

####Linux

1. Make sure you have Python 2.7 installed. Open the terminal and enter the 'python' (without quotes) command, if the python shell doesn't run, execute the following commands:

######Debian

$ sudo apt-get install python2.7
$ sudo apt-get install python-pip python-dev build-essential 
$ sudo pip install --upgrade pip 
$ sudo pip install --upgrade virtualenv 

######Fedora

$ sudo yum install python2.7 epel-release
$ sudo yum install -y python-pip
$ sudo pip install --upgrade pip 
$ sudo pip install --upgrade virtualenv 

2. Enter pip install CG-Acc command to download this software

3. Use python -m CG-Acc command to run the application.