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



(a) 
¤ 
How to convert between time and frequency domain representations of signals. 



¤ 
How to compute the energy in an energy signal in the time or frequency domain. 



¤ 
How to compute a modulated analog signal from an analog message signal (modulation). 



¤ 
Determine the power in a power signal in the time or frequency domain. 



¤ 
How to compute the receiver signaltonoise ratio (SNR) of analog modulations. 



¤ 
How to compute the PSD of a digital modulation. 



¤ 
How to find the orthonormal basis functions of a digital modulation system. 



¤ 
How to analyze a digital modulation system with noise in signal space, computing union bounds on error probability. 

  

(b) 
¤ 
Opportunity to conduct a Matlabbased design project requiring some independent reading, programming, simulations, and technical writing 

  

(c) 
¤ 
How to design a matched filter to facilitate maximum likelihood detection of an analog pulse. 



¤ 
How to design intersymbol interferencefree pulse shapes under bandwidth constraints. 



¤ 
Opportunity to conduct a Matlabbased design project requiring some independent reading, programming, simulations, and technical writing 

  

(g) 
¤ 
Opportunity to conduct a Matlabbased design project requiring some independent reading, programming, simulations, and technical writing 

  

(i) 
¤ 
How to use library resources to find an answer in the scientific literature. 

  

(k) 
¤ 
How to compute the energy in an energy signal in the time or frequency domain. 



¤ 
How to compute a modulated analog signal from an analog message signal (modulation). 



¤ 
Determine the power in a power signal in the time or frequency domain. 



¤ 
How to compute the receiver signaltonoise ratio (SNR) of analog modulations. 



¤ 
An understanding of the tradeoff in analog modulations between bandwidth, receiver SNR, and receiver complexity. 



¤ 
How to compute the maximum likelihood choice among two or more hypotheses. 



¤ 
How to compute the PSD of a digital modulation. 



¤ 
How to find the orthonormal basis functions of a digital modulation system. 



¤ 
How to analyze a digital modulation system with noise in signal space, computing union bounds on error probability. 

  

(l) 
¤ 
How to compute an analog message signal from an analog modulated signal (demodulation). 



¤ 
How to compute the autocorrelation function of a random process. 



¤ 
How to determine whether a random process is stationary (if possible) or widesense stationary (WSS). 



¤ 
How to determine if a random process is ergodic. 



¤ 
How to determine the power spectral density (PSD) of WSS random processes. 



¤ 
How to compute the maximum likelihood choice among two or more hypotheses. 

  

(m) 
¤ 
How to convert between time and frequency domain representations of signals. 



¤ 
How to compute the energy in an energy signal in the time or frequency domain. 



¤ 
How to compute a modulated analog signal from an analog message signal (modulation). 



¤ 
Determine the power in a power signal in the time or frequency domain. 



¤ 
How to compute the receiver signaltonoise ratio (SNR) of analog modulations. 



¤ 
How to compute the PSD of a digital modulation. 



¤ 
How to find the orthonormal basis functions of a digital modulation system. 



¤ 
How to analyze a digital modulation system with noise in signal space, computing union bounds on error probability. 

  

(n) 
¤ 
How to convert between time and frequency domain representations of signals. 



¤ 
How to compute the energy in an energy signal in the time or frequency domain. 



¤ 
How to compute a modulated analog signal from an analog message signal (modulation). 



¤ 
Determine the power in a power signal in the time or frequency domain. 



¤ 
How to compute the receiver signaltonoise ratio (SNR) of analog modulations. 



¤ 
How to compute the PSD of a digital modulation. 



¤ 
How to find the orthonormal basis functions of a digital modulation system. 



¤ 
How to analyze a digital modulation system with noise in signal space, computing union bounds on error probability. 

  