#1
26th April 2013, 04:55 PM
 
 
Pune University Be Syllabus of Electronics Engineering Pune
I want to get the syllabus of BE Electronics Engineering Program of Pune University. So will you provide the syllabus?

#2
29th April 2013, 12:20 PM
 
 
Re: Pune University Be Syllabus of Electronics Engineering Pune
You want to get the syllabus of BE Electronics Engineering Program of Pune University. So I am providing the following syllabus. Semester 1 1. 403141 PLC and SCADA Applications 2. 403142 Power System Operation and Control 3. 403143 Elective – 4. 403144 Elective 5. 403145 Control System – II 6. 403146 Project Semester 2 1. 403147 Switchgear and Protection 2. 403148 Industrial Drives and Control 3. 403149 Elective – III 4. 403150 Elective – IV 5. 403146 Project  Elective – I (403143) a) Robotics and Automation b) Power Quality c) Illumination Engineering d) Project Management Elective – II (403144) Restructuring and Deregulation Embedded System EHV Transmission Smart Grid Elective – III (403149) a) VLSI Design b) High Voltage Engineering c) Digital Signal Processing d) ANN and its Applications in Electrical Engineering Elective – IV (403150) Modelling of Electrical System Renewable Energy System Digital Control System Open Elective Here I am attaching a file that provides the full syllabus. 
#3
19th September 2019, 08:49 AM
 
 
Re: Pune University Be Syllabus of Electronics Engineering Pune
Hi buddy here I am looking for Savitribai Phule Pune University SE (E&TC/Electronics Engineering) program syllabus so will you plz let me know from where I can do collect it ??

#4
19th September 2019, 08:52 AM
 
 
Re: Pune University Be Syllabus of Electronics Engineering Pune
As you want here I am giving bellow Savitribai Phule Pune University SE (E&TC/Electronics Engineering) program syllabus , so on your demand I am providing same here : Signals and Systems Credits: Th 03,Tut01 Teaching Scheme: Examination Scheme: Theory : 03 hr/week Tutorial: 01 hr/week InSem(Online): 50 Marks EndSem(Theory):50 Marks Term Work : 25 Marks Course Objectives: To understand the mathematical description of continuous and discrete time signals and systems. To classify signals into different categories. To analyse Linear Time Invariant (LTI) systems in time and transform domains. To build basics for understanding of courses such as signal processing, control system and communication. To develop basis of probability and random variables. Course Outcomes: On completion of the course, student will be able to 1. Understand mathematical description and representation of continuous and discrete time signals and systems. 2. Develop input output relationship for linear shift invariant system and understand the convolution operator for continuous and discrete time system. 3. Understand and resolve the signals in frequency domain using Fourier series and Fourier transforms. 4. Understand the limitations of Fourier transform and need for Laplace transform and develop the ability to analyze the system in s domain. 5. Understand the basic concept of probability, random variables & random signals and develop the ability to find correlation, CDF, PDF and probability of a given event. Course Contents Unit I : Introduction to Signals and Systems (8 Hrs) Introduction and Classification of signals: Definition of signal and systems, communication and control systems as examples. Sampling of analog signals, sampling theorem, Continuous time and discrete time signal, Classification of signals as even, odd, periodic and nonperiodic, deterministic and nondeterministic, energy and power. Elementary signals used for testing: reasons for using standard test signals, exponential, sine, impulse, step and its properties, ramp, rectangular, triangular, signum, sinc. Operations on signals: Amplitude scaling, addition, multiplication, differentiation, integration (Accumulator for DT), time scaling, time shifting and time folding. Systems: Definition, Classification: linear and nonlinear, time variant and invariant, causal and noncausal, static and dynamic, stable and unstable, invertible. Unit II : Time domain representation of LTI System (6 Hrs) System modeling: Inputoutput relation, definition of impulse response, convolution sum, convolution integral, computation of convolution integral using graphical method for unit step to unit step, unit step to exponential, exponential to exponential, unit step to rectangular and rectangular to rectangular only. Computation of convolution sum. Properties of convolution. System interconnection, system properties in terms of impulse response, step response in terms of impulse response. Unit III : Fourier Series (6 Hrs) Fourier series (FS) representation of periodic Continuous Time (CT) signals, Dirichlet condition for existence of Fourier series, orthogonality, basis functions, Amplitude and phase response, FS representation of CT signals using trigonometric and exponential Fourier series. Applications of Fourier series, properties of Fourier series and their physical significance, Gibbs phenomenon, Discrete Time Fourier Series, properties, convergence of DTFS. Unit IV : Fourier transform (7Hrs) Fourier Transform (FT) representation of aperiodic CT signals, Dirichlet condition for existence of Fourier transform, evaluation of magnitude and phase response, FT of standard CT signals, FT of standard periodic CT signals, Properties and their significance, Interplay between time and frequency domain using sinc and rectangular signals, Fourier Transform for periodic signals, introduction to Discrete Time Fourier Transform. Unit V : Laplace transform and its applications (7Hrs) Definition of Laplace Transform (LT), Limitations of Fourier transform and need of Laplace transform,ROC, Laplace transform of standard periodic and aperiodic functions, properties of Laplace transform and their significance, Laplace transform evaluation using properties, Inverse Laplace transform based on partial fraction expansion, stability considerations in S domain, Application of Laplace transforms to the LTI system analysis. Unit VI : Probability and Random Signals (6 Hrs) Probability: Experiment, sample space, event, probability, conditional probability and statistical independence, Bayes theorem, Uniform and Gaussian probability models. Random variables: Continuous and Discrete random variables, cumulative distributive function, Probability density function, properties of CDF and PDF.Statistical averages, mean, moments and expectations, standard deviation and variance. Savitribai Phule Pune University SE (E&TC Electronics Engineering) program syllabus 