Course Recommender

Mechanism for recommendation of choice of courses at IIT Mandi Choose the best combination and secure your future Make the right choice using Multi-attribute Decision Making

COURSE RECOMMENDER

Why is this a Managerial Decision Problem?1. Deliberative Decision Making2. Complex Decision Making3. Important Decision MakingOn the idea of which courses should you register for at the beginning of the semester?

INTRODUCTION

Step 1 : FRAMING THE DECISION PROBLEM• How many courses and credit hours should you opt for?• What electives should you choose for this semester?• How do you fill up course baskets?• Should you go for a minor?• Should you consider taking an online course on audit?

Step 2 : ALTERNATIVES• What courses and how many credit hours should you opt for in this semester?• Go for 7 courses as everyone does (21 credits)• Take overload courses (>21 credits)• Go for less number of credits for this semester• Drop the semester and go on an internship abroad

Step 2 : ALTERNATIVES• What courses and how many credit hours should you opt for in this semester?

• Go for 7 courses as everyone does (21 credits)• Take discipline electives for most of the slots• Take more humanities / basic sciences electives and finish the required basket credits as soon as possible• Equally distribute amongst all disciplines

• Take overload courses (>21 credits)• Go for less number of credits for this semester• Drop the semester and go on an internship abroad


• Go for 7 courses as everyone does (21 credits)• Take overload courses (>21 credits)

• Take a discipline overload• Take a basic science overload and aim for a minor• Take an online course on audit

• Go for less number of credits for this semester• Drop the semester and go on an internship abroad


• Go for 7 courses as everyone does (21 credits)• Take overload courses (>21 credits)• Go for less number of credits for this semester

• Try to clear backlogs, if any, and enjoy life• Work on an external project or startup

• Drop the semester and go on an internship abroad


• Go for 7 courses as everyone does (21 credits)• Take overload courses (>21 credits)• Go for less number of credits for this semester• Drop the semester and go on an internship abroad

Step 2 : DECISION TREE

Which courses? How many credit hours?

7 courses (21 credits)

Discipline Electives

Prefer one of Humanities / Basic

Sciences

Equal preference

Overload courses (>21 credits)

Discipline overload

Minor Overload

Online / Audit course

Lesser creditsClear Backlogs

Project / StartupGo on an

internship abroad

Step 3 : EVALUATION OF ALTERNATIVESALTERNATIVES ATTRIBUTES Career

OpportunitiesQuality of college life

Exposure to one’s interests

Chances of achieving a good CGPA

7 courses (21credits)


Humanities/Basic Sciences

Equal Pref.

Overload (>21 credits)

Discipline Overload

Minor Overload

Audit

Lightweight Semester

Clear backlogs, Enjoy life

Project, Startup

Abroad Internship/Exchange

Rule 1 : Eliminate Dominated AlternativesALTERNATIVES ATTRIBUTES Career






H L H L


M M H M

Equal Pref. M M L H


Discipline Overload

H L H L

Minor Overload H L H M

Audit H M H H



L H L H

Project, Startup H H M L


H H M M







H L H L


M M H M

Equal Pref. M M L H


Discipline Overload

H L H L


Audit H M H H



L H L H

Project, Startup


H H M M








Equal Pref.


Discipline Overload

Minor Overload

Audit H M H H



L H L H

Project, Startup


H H M M





Feasible Choices



H L H L


M M H M

Equal Pref. M M L H


Discipline Overload

H L H L


Audit H M H H



L H L H



H H M M

Rule 2 : Rank – Sum RuleALTERNATIVES ATTRIBUTES Career






4 7 3 7


8 4 6 4

Equal Pref. 7 5 8 2


Discipline Overload

3 9 2 9

Minor Overload 5 8 4 6

Audit 6 6 1 3



9 2 9 1

Project, Startup 2 3 5 8


1 1 7 5

Rule 2 : Rank – Sum RuleALTERNATIVES ATTRIBUTES Career




Rank - Sum



4 7 3 7 21


8 4 6 4 22

Equal Pref. 7 5 8 2 22


Discipline Overload

3 9 2 9 23

Minor Overload 5 8 4 6 23

Audit 6 6 1 3 16



9 2 9 1 21

Project, Startup 2 3 5 8 18


1 1 7 5 14

Rule 3 : Elimination by AspectsALTERNATIVES ATTRIBUTES Career






H L H L


M M H M

Equal Pref. M M L H


Discipline Overload

H L H L


Audit H M H H



L H L H



H H M M








Equal Pref. M M L H


Discipline Overload

Minor Overload

Audit H M H H



L H L H

Project, Startup









Equal Pref. M M L H


Discipline Overload

Minor Overload

Audit H M H H



Project, Startup






Rank




Equal Pref. M M L H 2


Discipline Overload

Minor Overload

Audit H M H H 1



Project, Startup






Best Choice



H L H L


M M H M

Equal Pref. M M L H 2


Discipline Overload

H L H L


Audit H M H H 1



L H L H



H H M M

Rule 4 : Even Swaps Trade-offALTERNATIVES ATTRIBUTES Career






H L H 40


M M H 70

Equal Pref. M M L 90


Discipline Overload

H L H 20

Minor Overload H L H 50

Audit H M H 80



L H L 100

Project, Startup H H M 30


H H M 60

Rule 4 : Even Swaps Trade-offEven Swaps Trade-off adjusting rules : • High = Medium + 25• Low = Medium - 25







H L H 40


M M H 70

Equal Pref. M M L 90


Discipline Overload

H L H 20

Minor Overload H L H 50

Audit H M H 80



L H L 100

Project, Startup H H M 30


H H M 60





Leaving : Quality of college life



H L H 40 15


M M H 70 70

Equal Pref. M M L 90 90


Discipline Overload

H L H 20 -5

Minor Overload H L H 50 25

Audit H M H 80 80



L H L 100 125

Project, Startup H H M 30 55


H H M 60 85







H H 15


M H 70

Equal Pref. M L 90


Discipline Overload

H H -5

Minor Overload H H 25

Audit H H 80



L L 125

Project, Startup H M 55


H M 85





Leaving : Exposure



H H 15 40


M H 70 95

Equal Pref. M L 90 75


Discipline Overload

H H -5 20

Minor Overload H H 25 50

Audit H H 80 105



L L 125 100

Project, Startup H M 55 55


H M 85 85







H 40


M 95

Equal Pref. M 75


Discipline Overload

H 20

Minor Overload H 50

Audit H 105



L 100

Project, Startup H 55


H 85





Leaving : Career Opportunities



H 40 65


M 95 95

Equal Pref. M 75 75


Discipline Overload

H 20 45

Minor Overload H 50 75

Audit H 105 130



L 100 75

Project, Startup H 55 80


H 85 110





Best Choices



65


95

Equal Pref. 75


Discipline Overload

45

Minor Overload 75

Audit 130 1



75

Project, Startup 80


110 2

Rule 5 : Linear Additive Preference WeightingALTERNATIVES ATTRIBUTES Career






62.5 25 75 25


12.5 62.5 37.5 62.5

Equal Pref. 25 50 12.5 87.5


Discipline Overload

75 0 87.5 0

Minor Overload 50 12.5 62.5 37.5

Audit 37.5 37.5 100 75



0 87.5 0 100

Project, Startup 87.5 75 50 12.5


100 100 25 50

Rule 5 : Linear Additive Preference WeightingALTERNATIVES ATTRIBUTES Career




Best Choices



62.5 25 75 25 187.5


12.5 62.5 37.5 62.5 175

Equal Pref. 25 50 12.5 87.5 175


Discipline Overload

75 0 87.5 0 162.5

Minor Overload 50 12.5 62.5 37.5 162.5

Audit 37.5 37.5 100 75 250



0 87.5 0 100 187.5

Project, Startup 87.5 75 50 12.5 225


100 100 25 50 275

Rule 6 : Non - Linear Additive Preference WeightingALTERNATIVES ATTRIBUTES Career






62.5 25 75 25


12.5 62.5 37.5 62.5

Equal Pref. 25 50 12.5 87.5


Discipline Overload

75 0 87.5 0


Audit 37.5 37.5 100 75



0 87.5 0 100



100 100 25 50

Rule 6 : Non - Linear Additive Preference WeightingThe preference weights considered are : • Chances of achieving a good CGPA ( 0.4 )• Career Opportunities ( 0.3 )• Exposure to one’s interests ( 0.2 )• Quality of College life ( 0.1 )







62.5 25 75 25


12.5 62.5 37.5 62.5

Equal Pref. 25 50 12.5 87.5


Discipline Overload

75 0 87.5 0


Audit 37.5 37.5 100 75



0 87.5 0 100



100 100 25 50





Best Choices



62.5 25 75 25 46.25


12.5 62.5 37.5 62.5 42.5

Equal Pref. 25 50 12.5 87.5 50


Discipline Overload

75 0 87.5 0 40

Minor Overload 50 12.5 62.5 37.5 30.25

Audit 37.5 37.5 100 75 65



0 87.5 0 100 48.75

Project, Startup 87.5 75 50 12.5 48.75


100 100 25 50 65

OUTCOMESRule 1 Rule 2 Rule 3 Rule 4 Rule 5 Rule 6




Equal Pref.


Discipline Overload

Minor Overload

Audit



Project, Startup


Multi-attribute Decision Making methods clearly report that taking an overloaded semester with an online course on audit, is apparently the best choice when faced with a decision on choosing courses.The decision optimally takes care of one’s preferred attributes of CGPA, Career, Exposure and Quality of life.

CONCLUSION

Course Recommender

Career

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