Programming Solutions
Programming Solution Proposal
PRG 211
Programming Solution Proposal
As Head Coach of the Saint Joseph’s Catholic Prep School Knights basketball team, there is a constant need for developing players that have never played before and allowing experienced players the ability to compete to win. The dilemma that these two goals create is the balancing act that must be done in order to ensure both types of players are allowed to grow and develop but at the same time be able to compete for a championship. In order for either type of player to reach their goals they both need game playing experience and playing time. Figuring out a fair way to divvy out playing time so that both goals can be met is a tricky process and for the most part has been all decided upon by feel or opinion. Creating a program to solve this would justify playing time decisions by showing actual reasons for deserving more time per player with statistical facts to back those decisions up.
First of all, in order to develop a program that will help to identify how playing time should be doled out, the problem must be analyzed to identify how much better players are getting and how well their playing translates into winning. The information needed to determine this will be based upon raw basketball statistics such as points, field goals missed, three pointers made, free throws missed, assists, offensive rebounds, defensive rebounds, steals, blocks, turnovers, offensive play errors, defensive play errors, and also based on a plus/minus system which factors in point differential when player is on the court. The hardest part of the process would be data gathering and it should be done by a team of assistant coaches who can focus on specific statistics. Realistically, something of this complicated detail oriented nature is unachievable at the current level in which Saint Joseph’s operates but theoretically this is what is necessary in order to achieve the desired results. The actual process
PRG 211
Programming Solution Proposal
As Head Coach of the Saint Joseph’s Catholic Prep School Knights basketball team, there is a constant need for developing players that have never played before and allowing experienced players the ability to compete to win. The dilemma that these two goals create is the balancing act that must be done in order to ensure both types of players are allowed to grow and develop but at the same time be able to compete for a championship. In order for either type of player to reach their goals they both need game playing experience and playing time. Figuring out a fair way to divvy out playing time so that both goals can be met is a tricky process and for the most part has been all decided upon by feel or opinion. Creating a program to solve this would justify playing time decisions by showing actual reasons for deserving more time per player with statistical facts to back those decisions up.
First of all, in order to develop a program that will help to identify how playing time should be doled out, the problem must be analyzed to identify how much better players are getting and how well their playing translates into winning. The information needed to determine this will be based upon raw basketball statistics such as points, field goals missed, three pointers made, free throws missed, assists, offensive rebounds, defensive rebounds, steals, blocks, turnovers, offensive play errors, defensive play errors, and also based on a plus/minus system which factors in point differential when player is on the court. The hardest part of the process would be data gathering and it should be done by a team of assistant coaches who can focus on specific statistics. Realistically, something of this complicated detail oriented nature is unachievable at the current level in which Saint Joseph’s operates but theoretically this is what is necessary in order to achieve the desired results. The actual process
References: Venet, S., & Drake, E. (2011). Prelude toPprogramming (5th ed.). : Pearson Education. NBA.com Stats Index. (n.d.). Retrieved from http://www.nba.com/statistics/ Modular Programming. (n.d.). Retrieved from http://linux.about.com/cs/linux101/g/modularprogramm.htm