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



(a) 
¤ 
Identify the basic elements and structures of feedback control systems. 



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Correlate the polezero configuration of transfer functions and their timedomain response to known test inputs. 



¤ 
Apply RouthHurwitz criterion to determine the domain of stability of linear timeinvariant systems in the parameter space. 



¤ 
Apply Finalvalue Theorem to determine the steadystate response of stable control systems. 



¤ 
Construct and recognize the properties of rootlocus for feedback control systems with a single variable parameter. 



¤ 
Specify design region in the splane in terms of settlingtime, risetime and overshoot to stepresponse. 



¤ 
Use rootlocus method for the design of feedback control systems. 



¤ 
Synthesize feedback control systems in terms of specified closedloop polezero configuration. 



¤ 
Construct Bode and polar plots for rational transfer functions. 



¤ 
Specify control system performance in the frequencydomain in terms of gain and phase margins, and design compensators to achieve the desired performance. 



¤ 
Design sampled data systems using discrete equivalents; Understand the effects of sample rate selection. 



¤ 
Several homework assignments delving on basic concepts and reinforcing analytical skills learned in class. 

  

(b) 
¤ 
At least two computer assignments exposing students to computeraided design of practical feedback control systems. Opportunity to conduct matlabbased projects requiring some independent reading, programming, simulations and technical writing. 

  

(c) 
¤ 
Specify design region in the splane in terms of settlingtime, risetime and overshoot to stepresponse. 



¤ 
Use rootlocus method for the design of feedback control systems. 



¤ 
Synthesize feedback control systems in terms of specified closedloop polezero configuration. 



¤ 
Specify control system performance in the frequencydomain in terms of gain and phase margins, and design compensators to achieve the desired performance. 



¤ 
Design sampled data systems using discrete equivalents; Understand the effects of sample rate selection. 



¤ 
At least two computer assignments exposing students to computeraided design of practical feedback control systems. Opportunity to conduct matlabbased projects requiring some independent reading, programming, simulations and technical writing. 

  

(g) 
¤ 
At least two computer assignments exposing students to computeraided design of practical feedback control systems. Opportunity to conduct matlabbased projects requiring some independent reading, programming, simulations and technical writing. 

  

(i) 
¤ 
Several homework assignments delving on basic concepts and reinforcing analytical skills learned in class. 



¤ 
At least two computer assignments exposing students to computeraided design of practical feedback control systems. Opportunity to conduct matlabbased projects requiring some independent reading, programming, simulations and technical writing. 



¤ 
Design sampled data systems using discrete equivalents; Understand the effects of sample rate selection. 

  

(m) 
¤ 
Correlate the polezero configuration of transfer functions and their timedomain response to known test inputs. 



¤ 
Construct Bode and polar plots for rational transfer functions. 



¤ 
Design sampled data systems using discrete equivalents; Understand the effects of sample rate selection. 

  

(n) 
¤ 
Apply Finalvalue Theorem to determine the steadystate response of stable control systems. 



¤ 
Use rootlocus method for the design of feedback control systems. 



¤ 
Synthesize feedback control systems in terms of specified closedloop polezero configuration. 



¤ 
Construct Bode and polar plots for rational transfer functions. 

  