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SJSU EE 112 - Syllabus

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San José State University Department of Electrical Engineering EE 112, Linear Systems, Spring 2010 Instructor: Robert H. Morelos-Zaragoza Office Location: ENGR 373 Telephone: (408) 924-3879 Email: [email protected] Office Hours: TuW 14:30-17:00 Class Days/Time: MW 18:00-19:15 Classroom: Clark Building 234 Prerequisites: EE98 with a grade of C or better, EE101, Math133A Course Description Advanced study of linear discrete-time and continuous-time systems. Laplace transforms and Z transforms. Convolution. System functions and frequency response, Fourier series and Fourier transforms. Discrete and fast Fourier transforms. Course Goals and Student Learning Objectives This course provides an introduction to linear time-invariant (LTI) systems. It introduces signals and systems, both discrete and continuous, for representing and manipulation in the time domain. Laplace and Z-transforms are covered as analytical tools to solve linear systems using a characterization in the frequency domain as well as for computing time-domain responses to input signals. Fourier series and the Fourier transform are covered, to understand the relationship between the time-domain and the frequency-domain representation of LTI systems. GE/SJSU Studies Learning Outcomes (LO) Upon successful completion of this course, students will be able to: LO1 Demonstrate an understanding of the fundamentals of Electrical Engineering, including its mathematical and scientific principles, analysis and design. LO2 Demonstrate the ability to apply the practice of Engineering in real-world problems. Course Content Learning Outcomes Upon successful completion of this course, students will be able to: LO3 Analyze a system and determine if it is linear, time-variant, causal, and/or stable (a) LO4 Perform convolution in the time domain to compute the response of an LTI system (c) LO5 Apply the Laplace transform to solve linear differential equations (a, k) LO6 Apply Z-transform to solve linear difference equations (a, k) LO7 Analyze a periodic signal, using the Fourier series, to determine its frequency content (a, k)LO8 Analyze a signal, using the Fourier transform, to determine its frequency content (a, k) LO9 Analyze a linear system transfer function using its poles and zeros (a, k) LO10 Determine the frequency response of a system (a, k) LO11 Use MATLAB to analyze a system both in the time and in the frequency domains, to do convolution for time domain response of a system, determine frequency response of a system, and analyze a signal in terms of its frequency content (k) ABET outcomes The letters in parentheses in each of the course learning objectives above refer to ABET (Accreditation Board for Engineering and Technology) criterion 3 outcomes satisfied by the objective. These are listed below as a reference: (a) An ability to apply knowledge of mathematics, science, and engineering (b) An ability to design and conduct experiments, as well as to analyze and interpret data (c) An ability to design a system, component, or process to meet desired needs (d) An ability to function on multi-disciplinary teams (e) An ability to identify, formulate, and solve engineering problems (f) An understanding of professional and ethical responsibility (g) An ability to communicate effectively (h) The broad education necessary to understand the impact of engineering solutions in a global and societal context (i) A recognition of the need for, and an ability to engage in life-long learning (j) A knowledge of contemporary issues (k) An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice (l) Specialization in one or more technical specialties that meet the needs of companies (m) Knowledge of probability and statistics, including applications to electrical engineering (n) Knowledge of advanced mathematics, including differential and integral equations, linear algebra, complex variables, and discrete mathematics (o) Basic sciences, computer science, and engineering sciences necessary to analyze and design complex electrical and electronic devices, software, and systems containing hardware and software components Required Texts/Readings Textbook Haykin and Van Veen, Signals and Systems, 2nd Ed., John Wiley, 2005. Other readings Lathi, Linear Systems and Signals, Oxford, 2004.Other material Handouts either posted in the web page or distributed in class. Classroom Protocol Students are expected to participate actively in class. Students will turn their cell phones off or put them on vibrate mode while in class. They will not answer their phones in class. Dropping and Adding Students are responsible for understanding the policies and procedures about add/drops, academic renewal, etc. Information on add/drops are available at http://info.sjsu.edu/web-dbgen/narr/soc-fall/rec-298.html. Information about late drop is available at http://www.sjsu.edu/sac/advising/latedrops/policy/ . Students should be aware of the current deadlines and penalties for adding and dropping classes. Assignments and Grading Policy There will be two midterm exams and a final exam. Exams cover the assigned reading materials and class lecture notes. All exams are open book and open notes. There will be absolutely no make-up exams (only in very special circumstances extraordinary exams can be given, requiring both written excuse and official proofs). Exam solutions will be discussed in class after the exam dates and posted in the web site of the course. Some homework problems will require the use of a computer to perform system simulations and signal analysis. Grades Assignments 25% Exam 1 20% Exam 2 20% Final exam 35% Total 100% Grading Percentage Breakdown 90% and above A 89% - 85% A- 84% - 82% B+ 81% - 79% B 78% - 75% B- 74% - 72% C+ 71% - 69% C 68% - 65% C- 64% - 62% D+ 61% - 59% D 58% - 55% D- below 55% FTable 1 Course Schedule (Subject to change with fair notice as announced in class) Week Date Topics, Readings, Assignments, Deadlines 1 1/28 Introduction to signals and systems. 2 2/1 Classification of signals, signal operations and elementary signals. (Chapter 1) 3 2/8 Systems and their properties. Using Matlab (Chapter 2) 4 2/17 Convolution sum and integral (Chapter 2) 5 2/24 LTI systems, impulse and step response, system representation using differential and difference equations, block diagrams (Chapter 2) 6 3/1 Midterm


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