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



(a) 
¤ 
Understand how speech is produced. 



¤ 
Understand and know acoustic properties of various speech sounds. 



¤ 
Perform the ShortTime Fourier Transform (STFT). 



¤ 
Understand the basic tradeoffs when performing the STFT in a computer laboratory setting. 



¤ 
Understand basic concepts of speech coding. 



¤ 
Perform LinearPredictive Coding (LPC) on speech signals theoretically and in a computer laboratory. 



¤ 
Perform forward and inverse two dimensional Fourier transforms. 



¤ 
Perform two dimensional convolution. 



¤ 
Design two dimensional convolution masks to achieve a desired effect on an image. 



¤ 
Understand and analyze the meaning of two dimensional frequency and its relation to image characteristics. 



¤ 
Understand and analyze alternative (non Fourier) unitary transforms such as the DCT. 



¤ 
Understand and analyze image communications systems. 



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



¤ 
Several computer assignments exposing students to typical applications of digital signal processing and asking them to carry out simple yet illustrative design projects. 



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

  

(b) 
¤ 
Understand and know acoustic properties of various speech sounds. 



¤ 
Understand the basic tradeoffs when performing the STFT in a computer laboratory setting. 



¤ 
Perform LinearPredictive Coding (LPC) on speech signals theoretically and in a computer laboratory. 



¤ 
Perform forward and inverse two dimensional Fourier transforms. 



¤ 
Perform two dimensional convolution. 



¤ 
Design two dimensional convolution masks to achieve a desired effect on an image. 



¤ 
Understand and analyze the meaning of two dimensional frequency and its relation to image characteristics. 



¤ 
Understand and analyze alternative (non Fourier) unitary transforms such as the DCT. 



¤ 
Understand and analyze image communications systems. 



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



¤ 
Several computer assignments exposing students to typical applications of digital signal processing and asking them to carry out simple yet illustrative design projects. 

  

(c) 
¤ 
Design two dimensional convolution masks to achieve a desired effect on an image. 

  

(e) 
¤ 
Understand how speech is produced. 



¤ 
Understand and know acoustic properties of various speech sounds. 



¤ 
Perform the ShortTime Fourier Transform (STFT). 



¤ 
Understand the basic tradeoffs when performing the STFT in a computer laboratory setting. 



¤ 
Understand basic concepts of speech coding. 



¤ 
Perform LinearPredictive Coding (LPC) on speech signals theoretically and in a computer laboratory. 



¤ 
Perform forward and inverse two dimensional Fourier transforms. 



¤ 
Perform two dimensional convolution. 



¤ 
Design two dimensional convolution masks to achieve a desired effect on an image. 



¤ 
Understand and analyze the meaning of two dimensional frequency and its relation to image characteristics. 



¤ 
Understand and analyze alternative (non Fourier) unitary transforms such as the DCT. 



¤ 
Understand and analyze image communications systems. 



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



¤ 
Several computer assignments exposing students to typical applications of digital signal processing and asking them to carry out simple yet illustrative design projects. 

  

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

  

(j) 
¤ 
Understand how speech is produced. 



¤ 
Understand and know acoustic properties of various speech sounds. 



¤ 
Perform the ShortTime Fourier Transform (STFT). 



¤ 
Understand the basic tradeoffs when performing the STFT in a computer laboratory setting. 



¤ 
Understand basic concepts of speech coding. 



¤ 
Perform LinearPredictive Coding (LPC) on speech signals theoretically and in a computer laboratory. 

  

(k) 
¤ 
Understand how speech is produced. 



¤ 
Understand and know acoustic properties of various speech sounds. 



¤ 
Perform the ShortTime Fourier Transform (STFT). 



¤ 
Understand the basic tradeoffs when performing the STFT in a computer laboratory setting. 



¤ 
Understand basic concepts of speech coding. 



¤ 
Perform LinearPredictive Coding (LPC) on speech signals theoretically and in a computer laboratory. 



¤ 
Perform forward and inverse two dimensional Fourier transforms. 



¤ 
Perform two dimensional convolution. 



¤ 
Design two dimensional convolution masks to achieve a desired effect on an image. 



¤ 
Understand and analyze the meaning of two dimensional frequency and its relation to image characteristics. 



¤ 
Understand and analyze alternative (non Fourier) unitary transforms such as the DCT. 



¤ 
Understand and analyze image communications systems. 



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



¤ 
Several computer assignments exposing students to typical applications of digital signal processing and asking them to carry out simple yet illustrative design projects. 

  

(m) 
¤ 
Understand how speech is produced. 



¤ 
Understand and know acoustic properties of various speech sounds. 



¤ 
Perform the ShortTime Fourier Transform (STFT). 



¤ 
Understand the basic tradeoffs when performing the STFT in a computer laboratory setting. 



¤ 
Understand basic concepts of speech coding. 



¤ 
Perform LinearPredictive Coding (LPC) on speech signals theoretically and in a computer laboratory. 



¤ 
Perform forward and inverse two dimensional Fourier transforms. 



¤ 
Perform two dimensional convolution. 



¤ 
Design two dimensional convolution masks to achieve a desired effect on an image. 



¤ 
Understand and analyze the meaning of two dimensional frequency and its relation to image characteristics. 



¤ 
Understand and analyze alternative (non Fourier) unitary transforms such as the DCT. 



¤ 
Understand and analyze image communications systems. 



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



¤ 
Several computer assignments exposing students to typical applications of digital signal processing and asking them to carry out simple yet illustrative design projects. 

  