AKTU · EE / ELCE · Semester 3
BEE303
75 practice questions for Basic signal & systems (BEE303), arranged the way the paper is set: short-answer questions for the compulsory Question 1, then twelve-mark questions unit by unit. Compiled from the official AKTU syllabus for this paper. Answers are not included — the unit-wise notes for this paper are where they are worked out. This is not a previous year paper.
Open textbook, 72 pages. A general reference — it does not follow the AKTU syllabus exactly, so read it alongside your class notes. Source: https://en.wikibooks.org/wiki/Signals_and_Systems — text by Wikibooks contributors, licensed CC BY-SA 4.0.
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AKTU end-semester examination, March 2025. Course code BEE303 / KEE303 / REE303.
AKTU end-semester examination, 2023. Course code BEE303 / KEE303 / REE303.
AKTU end-semester examination, 2022. Course code BEE303 / KEE303 / REE303.
AKTU end-semester examination, 2021. Course code BEE303 / KEE303 / REE303.
AKTU end-semester examination, 2020. Course code BEE303 / KEE303 / REE303.
Official AKTU syllabus, unit-wise. Source: https://fms.aktu.ac.in/Resources/aktu/pdf/syllabus/Syllabus2324/B.Tech_2nd_Yr_EE.pdf
Pre- Requisites: Differential Equations. Introduction to Continuous Time Signals and Systems: Introduction to continuous time and discrete time signals, Classification of signals with their mathematical representation and characteristics. Transformation of independent variable, Introduction to various type of system, basic system properties. Analogous System: Linear& Rotational mechanical elements, force-voltage and force-current analogy, modeling of mechanical and electro-mechanical systems: Analysis of first and second order linear systems by classical method.
Pre- Requisites: Fourier Series & Fourier Transform Fourier Transform Analysis:, Fourier symmetry, Fourier transform: Properties, application to network analysis. Definition of DTFS, and DTFT, Sampling Theorem.
Pre- Requisites: Laplace Transform Laplace Transform Analysis: Review of Laplace Transform, Properties of Laplace Transform, Initial & Final value Theorems, Inverse Laplace Transform, Convolution Theorem, Impulse response, Application of Laplace Transform to analysis of networks, waveform synthesis and Laplace Transform to complex waveforms
Pre- Requisites:Matrix Calculations. State – Variable analysis: Introduction, State Space representation of linear systems, Transfer function and state Variables, State Transition Matrix, Solution of state equations for homogeneous and non-homogeneous systems, Applications of State – Variable technique to the analysis of linear systems.
Pre- Requisite: Z-Transforms. Z – Transform Analysis: Concept of Z – Transform& ROC, Z – Transform of common functions, Inverse Z – Transform, Initial & Final value Theorems, Applications to solution of difference equations, Properties of Z-transform. Text Books: