
Program outcomes and how they are covered by the specific course outcomes 



(a) 
¤ 
Understand the difference between circuit and packet switching. 



¤ 
Be able to analyze different MAC mechanisms (Aloha, Slotted Aloha, TDMA, FDMA) and understand their pros and cons. 



¤ 
Learn the differences between random access and scheduled MAC mechanisms. 



¤ 
Understand the difference between link state and distance vector routing. 



¤ 
Learn to carry out Dijkstraï¿½s shortest path algorithm in a given network. 



¤ 
Understand how error control is implemented in telecommunication networks. 



¤ 
Mathematically model various error control schemes. 



¤ 
Understand the basics of the TCP/IP layer model, as well as the OSI 7 layer model. 



¤ 
Get an introduction on discrete and continuous stochastic processes. 



¤ 
Understand why Geometric and Exponential Distributions are often used in Communication Systems modeling. 



¤ 
Be able to apply Littleï¿½s formula to analyze the waiting time and system time of a queuing systems. 



¤ 
Be able to analyze and design any queuing system with exponential arrivals and service rates. 



¤ 
Several homework assignments delving on core concepts and reinforcing analytical skills learned in class; design approaches and methods included throughout. 

  

(b) 
¤ 
Be able to analyze different MAC mechanisms (Aloha, Slotted Aloha, TDMA, FDMA) and understand their pros and cons. 



¤ 
Understand the difference between link state and distance vector routing. 



¤ 
Understand how error control is implemented in telecommunication networks. 



¤ 
Be able to analyze and design any queuing system with exponential arrivals and service rates. 



¤ 
Be able to simulate exponential and geometric processes as well as their respective counting processes. (Computer Workout) to model traffic processes loading communications network systems under design. 



¤ 
One computer assignment exposing students to typical simulations carried out to analyze and model a queuing system. 

  

(c) 
¤ 
Learn the differences between random access and scheduled MAC mechanisms. 



¤ 
Learn to carry out Dijkstraï¿½s shortest path algorithm in a given network. 



¤ 
Mathematically model various error control schemes. 



¤ 
Be able to apply Littleï¿½s formula to analyze the waiting time and system time of a queuing systems. 



¤ 
Several homework assignments delving on core concepts and reinforcing analytical skills learned in class; design approaches and methods included throughout. 



¤ 
One computer assignment exposing students to typical simulations carried out to analyze and model a queuing system. 

  

(e) 
¤ 
Be able to analyze different MAC mechanisms (Aloha, Slotted Aloha, TDMA, FDMA) and understand their pros and cons. 



¤ 
Get an introduction on discrete and continuous stochastic processes. 



¤ 
Understand why Geometric and Exponential Distributions are often used in Communication Systems modeling. 



¤ 
Be able to apply Littleï¿½s formula to analyze the waiting time and system time of a queuing systems. 



¤ 
Be able to analyze and design any queuing system with exponential arrivals and service rates. 



¤ 
Several homework assignments delving on core concepts and reinforcing analytical skills learned in class; design approaches and methods included throughout. 

  

(i) 
¤ 
Opportunities to interact weekly with the instructor and the teaching assistant(s) during regular office hours and discussion sections in order to further the students' learning experience and the students' interest in the material. 

  

(j) 
¤ 
Understand the basics of the TCP/IP layer model, as well as the OSI 7 layer model. 

  

(k) 
¤ 
Be able to simulate exponential and geometric processes as well as their respective counting processes. (Computer Workout) to model traffic processes loading communications network systems under design. 



¤ 
One computer assignment exposing students to typical simulations carried out to analyze and model a queuing system. 

  

(l) 
¤ 
Be able to analyze different MAC mechanisms (Aloha, Slotted Aloha, TDMA, FDMA) and understand their pros and cons. 



¤ 
Get an introduction on discrete and continuous stochastic processes. 



¤ 
Understand why Geometric and Exponential Distributions are often used in Communication Systems modeling. 



¤ 
Be able to apply Littleï¿½s formula to analyze the waiting time and system time of a queuing systems. 



¤ 
Be able to analyze and design any queuing system with exponential arrivals and service rates. 



¤ 
Be able to simulate exponential and geometric processes as well as their respective counting processes. (Computer Workout) to model traffic processes loading communications network systems under design. 



¤ 
Several homework assignments delving on core concepts and reinforcing analytical skills learned in class; design approaches and methods included throughout. 



¤ 
One computer assignment exposing students to typical simulations carried out to analyze and model a queuing system. 

  