Semester.ly

Johns Hopkins University | EN.550.453

Mathematical Game Theory

4.0

credits

Average Course Rating

(4.05)

Mathematical analysis of cooperative and noncooperative games. Theory and solution methods for matrix game (two players, zero-sum payoffs, finite strategy sets), games with a continuum of strategies, N-player games, games in rule-defined form. The roles of information and memory. Selected applications to economic, recreational, and military situations. Prereq: Multivariable Calculus, probability, linear algebra.

Spring 2013

(3.95)

Spring 2014

(3.86)

Spring 2015

(4.33)

Spring 2013

Professor: Beryl Castel o

(3.95)

The best aspect of this course was the instructor’s thorough explanations of the material. Students were provided with practice homework solutions and practice midterms, as well as the opportunity to play games in class. One student felt the book was too wordy. Another student felt the subject matter was too theoretical. Suggestions included providing students with practice problems more applicable to the exams and getting rid of the second midterm. Prospective students should be prepared to work with theoretical concepts.

Spring 2014

Professor: Beryl Castel o

(3.86)

The best aspects of this course were the organized and concise lectures, the effective instructor, and the interesting material. The lectures, homework, and exams were all in alignment. Some of the worst aspects of the class included the textbook, the irregular due dates for homework, and the TA sections. Some suggestions for improvement included a better textbook, more opportunities for graded work other than exams, and better TAs. Prospective students should have some familiarity with linear algebra. The course is relatively challenging but without the proper attention it could become overly difficult.

Spring 2015

Professor: Beryl Castel o

(4.33)

Students enjoyed the real world applications of the material covered in this course, as well as the accessibility of the TAs and instructor, and the organized and interesting lectures presented by the instructor. Some students found the exams to be too difficult to complete within the time al otted. Suggestions for improvement included having exercises in completing timed proofs before exams, starting the course later in the day, providing easier homework sets, and expanding the class size. Prospective students should be prepared for an intel ectual y chal enging course. Previous experience with probability and proofs would be beneficial.