Course Name: Strategy: An Introduction to Game Theory

Course abstract

Games or ?Strategic Interactions? can be found in all walks of life. Examples of such scenarios are two firms competing for market share, politicians contesting elections, different bidders participating in an auction for wireless spectrum, coal blocks etc. Game theory provides a convenient framework to model and interpret the behavior of participants in such strategic interactions. Hence it can be applied to solve a wide variety of problems involving diverse areas such as Markets, Auctions, Online Retail, Cold War, Paying Taxes, Bargaining, Elections, Portfolio Management etc. Therefore, both undergraduate and postgraduate students and professionals from diverse backgrounds such as Scientists, Engineers, Managers, Politicians and Political Scientists, Economists, Mathematicians etc will find the course content useful. Examples and exercises will be motivated by problems close to real life scenarios.


Course Instructor

Media Object

Prof. Aditya Jagannatham

Prof. Aditya K. Jagannatham received his Bachelors degree from the Indian Institute of Technology, Bombay and M.S. and Ph.D. degrees from the University of California, San Diego, U.S.A.. From April '07 to May '09 he was employed as a senior wireless systems engineer at Qualcomm Inc., San Diego, California, where he worked on developing 3G UMTS/WCDMA/HSDPA mobile chipsets as part of the Qualcomm CDMA technologies division. His research interests are in the area of next-generation wireless communications and networking, sensor and ad-hoc networks, digital video processing for wireless systems, wireless 3G/4G cellular standards and CDMA/OFDM/MIMO wireless technologies. He has contributed to the 802.11n high throughput wireless LAN standard and has published extensively in leading international journals and conferences. He was awarded the CAL(IT)2 fellowship for pursuing graduate studies at the University of California San Diego and in 2009 he received the Upendra Patel Achievement Award for his efforts towards developing HSDPA/HSUPA/HSPA+ WCDMA technologies at Qualcomm. Since 2009 he has been a faculty member in the Electrical Engineering department at IIT Kanpur, where he is currently an Associate Professor, and is also associated with the BSNL-IITK Telecom Center of Excellence (BITCOE). At IIT Kanpur he has been awarded the P.K. Kelkar Young Faculty Research Fellowship (June 2012 to May 2015) for excellence in research. His popular video lectures for the NPTEL (National Programme on Technology Enhanced Learning) course on Advanced 3G and 4G Wireless Mobile Communications can found at the following YouTube link ( NPTEL 3G/4G ).
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Course Sponsors

Teaching Assistant(s)

ISHAN TYAGI

Project Associate, Dept. of Electrical Engineering,
IIT Kanpur

Gopal Sharan Parashari

Ph.D. (Pursuing)
Dept. of HSS, IIT Kanpur

 Course Duration : Jan-Mar 2016

  View Course

 Enrollment : 05-Dec-2015 to 04-Feb-2016

 Exam Date : 20-Mar-2016

Enrolled

2551

Registered

66

Certificate Eligible

56

Certified Category Count

Gold

1

Silver

0

Elite

28

Successfully completed

9

Participation

18

Success

Elite

Gold





Legend

>=90 - Elite+Gold
60-89 - Elite
35-59 - Successfully Completed
<=34 - Certificate of Participation

Final Score Calculation Logic

  • Assignment Score = Average of best 5 out of 8 assignments
  • FINAL SCORE (Score on Certificate) = 60% of Exam Score + 40% of Assignment Score
Strategy: An Introduction to Game Theory - Toppers list

RAJNEESH 94%

IIT (BHU) VARANASI

MORADIYA PRATIK MAHESHBHAI 87%

MSU BARODA

ARPIT ARORA 86%

NSIT

MAHALAKSHMI S 84%

NATIONAL INSTITUTE OF TECHNOLOGY

KASHYAP CHITTA 84%

RV COLLEGE OF ENGINEERING

SANJIT MUCHAHARY 84%

JANATA COLLEGE KABUGANJ

HRIDYA V VARMA 84%

STELLA MARIS COLLEGE

ANJANA RAJAGOPAL 82%

SHRIMATHI DEVKUNVAR NANALAL BHATT VAISHNAV COLLEGE FOR WOMEN

Z MOHAMED ANSARI 81%

SASTRA UNIVERSITY

TARUN LUTHRA 81%

JAMIA MILLIA ISLAMIA

Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.