ABET Course Objectives and Outcomes Form 
Course number and title:  EE102 Systems and Signals  
Credits:  4  
Instructor(s)incharge:  D. Cabric  (danijela@ee.ucla.edu)  
Course type:  Lecture  
Required or Elective:  Required.  
Course Schedule: 


Course Assessment: 


Grading Policy:  Typically 1015% homework, 1015% design, 3035% midterm, 50% final (varies with instructor).  
Course Prerequisites:  Math 33A. Corequisite: Math 33B.  
Catalog Description:  Elements of differential equations, first and secondorder equations, variation of parameters method and method of undetermined coefficients, existence and uniqueness. Systems: input/output description, linearity, timeinvariance, and causality. Impulse response functions, superposition and convolution integrals. Laplace transforms and system functions. Fourier series and transforms. Frequency response, responses of systems to periodic signals. Sampling theorem.  
Textbook and any related course material: 


Course Website  
Additional Course Website  
Topics covered in the course and level of coverage: 


Course objectives and their relation to the Program Educational Objectives:  
Contribution of the course to the Professional Component: 


Expected level of proficiency from students entering the course: 


Material available to students and department at end of course:  


Will this course involve computer assignments? YES  Will this course have TA(s) when it is offered? YES 
Level of contribution of course to Program Outcomes  


:: Upon completion of this course, students will have had an opportunity to learn about the following :: 
Specific Course Outcomes  Program Outcomes  
1.  Understand the concept of a signal and a system, plot continuoustime signals, evaluate the periodicity of a signal.  a  
2.  Identify properties of continuoustime systems such as linearity, timeinvariance, and causality.  a m  
3.  Solve constantcoefficient differential equations.  a m  
4.  Calculate with the Dirac delta function.  a m  
5.  Compute convolution of continuoustime functions.  a  
6.  Understand the concept of the impulse response function of a linear system, and its use to describe the input/output relationship.  a  
7.  Compute the Laplace transform of a continuous function, identify its domain of convergence, and be familiar with its basic properties, including the initial and final value theorems.  a m  
8.  Find the inverse Laplace transform by partial fractions.  a m  
9.  Use the Laplace transform to solve constantcoefficient differential equations with initial conditions.  a m  
10.  Use the Laplace transform to evaluate the transfer function of linear timeinvariant systems.  a m  
11.  Compute the Fourier series representation of a periodic function, in both exponential and sinecosine forms.  a m  
12.  Understand Parsevalï¿½s relation in Fourier series, and its interpretation in terms of decomposing the signalï¿½s energy between its harmonics.  a  
13.  Evaluate the response of a linear timeinvariant system to periodic inputs.  a  
14.  Evaluate the Fourier transform of a continuous function, and be familiar with its basic properties. Relate it to the Laplace transform.  a m  
15.  Evaluate and plot the frequency responses (magnitude and phase) of linear timeinvariant systems, and apply it to filtering of input signals.  a  
16.  Understand conditions under which a bandlimited function can be recovered from its samples.  a  
17.  Several homework assignments delving on core concepts and reinforcing analytical skills learned in class. Opportunity to conduct a matlabbased design project requiring some independent reading, programming, simulations and technical writing.  a b c g i  
18.  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.  i 
Program outcomes and how they are covered by the specific course outcomes  
(a)  ¤  Understand the concept of a signal and a system, plot continuoustime signals, evaluate the periodicity of a signal.  
¤  Identify properties of continuoustime systems such as linearity, timeinvariance, and causality.  
¤  Solve constantcoefficient differential equations.  
¤  Calculate with the Dirac delta function.  
¤  Compute convolution of continuoustime functions.  
¤  Understand the concept of the impulse response function of a linear system, and its use to describe the input/output relationship.  
¤  Compute the Laplace transform of a continuous function, identify its domain of convergence, and be familiar with its basic properties, including the initial and final value theorems.  
¤  Find the inverse Laplace transform by partial fractions.  
¤  Use the Laplace transform to solve constantcoefficient differential equations with initial conditions.  
¤  Use the Laplace transform to evaluate the transfer function of linear timeinvariant systems.  
¤  Compute the Fourier series representation of a periodic function, in both exponential and sinecosine forms.  
¤  Understand Parsevalï¿½s relation in Fourier series, and its interpretation in terms of decomposing the signalï¿½s energy between its harmonics.  
¤  Evaluate the response of a linear timeinvariant system to periodic inputs.  
¤  Evaluate the Fourier transform of a continuous function, and be familiar with its basic properties. Relate it to the Laplace transform.  
¤  Evaluate and plot the frequency responses (magnitude and phase) of linear timeinvariant systems, and apply it to filtering of input signals.  
¤  Understand conditions under which a bandlimited function can be recovered from its samples.  
¤  Several homework assignments delving on core concepts and reinforcing analytical skills learned in class. Opportunity to conduct a matlabbased design project requiring some independent reading, programming, simulations and technical writing.  
(b)  ¤  Several homework assignments delving on core concepts and reinforcing analytical skills learned in class. Opportunity to conduct a matlabbased design project requiring some independent reading, programming, simulations and technical writing.  
(c)  ¤  Several homework assignments delving on core concepts and reinforcing analytical skills learned in class. Opportunity to conduct a matlabbased design project requiring some independent reading, programming, simulations and technical writing.  
(g)  ¤  Several homework assignments delving on core concepts and reinforcing analytical skills learned in class. Opportunity to conduct a matlabbased design project requiring some independent reading, programming, simulations and technical writing.  
(i)  ¤  Several homework assignments delving on core concepts and reinforcing analytical skills learned in class. Opportunity to conduct a matlabbased design project requiring some independent reading, programming, simulations and technical writing.  
¤  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.  
(m)  ¤  Identify properties of continuoustime systems such as linearity, timeinvariance, and causality.  
¤  Solve constantcoefficient differential equations.  
¤  Calculate with the Dirac delta function.  
¤  Compute the Laplace transform of a continuous function, identify its domain of convergence, and be familiar with its basic properties, including the initial and final value theorems.  
¤  Find the inverse Laplace transform by partial fractions.  
¤  Use the Laplace transform to solve constantcoefficient differential equations with initial conditions.  
¤  Use the Laplace transform to evaluate the transfer function of linear timeinvariant systems.  
¤  Compute the Fourier series representation of a periodic function, in both exponential and sinecosine forms.  
¤  Evaluate the Fourier transform of a continuous function, and be familiar with its basic properties. Relate it to the Laplace transform.  
:: Last modified: February 2013 by J. Lin :: 