Advance Programming in Engineering detail syllabus for Instrumentation & Control Engineering (ICE), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (REC073), and for exam duration, Teaching Hr/Week, Practical Hr/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.
For all other ice 7th sem syllabus for b.tech 2019-20 scheme aktu you can visit ICE 7th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all other Departmental Elective-III subjects do refer to Departmental Elective-III. The detail syllabus for advance programming in engineering is as follows.
Unit I
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Unit II
MATLAB Applications in Communication Systems: Introduction, Generation and detection of AM, FM, and PM signals, Sampling of signals, Pulse modulation techniques (PAM, PWM, PPM), PCM, Digital modulation techniques (ASK, PSK, FSK, M-ary), OFDM, Spread-spectrum techniques
Unit III
MATLAB Applications in control system: Introduction, Laplace and Inverse Laplace Transform, Transfer function, Zero, Poles and Pole – Zero map of a transfer function, State-Space representation, series/cascade, parallel and feedback Connections, Time response of control systems Routh Hurwitz Criteria. Root Locus, Frequency response Representation: Bode plots, Gain Margin, Phase Margin, Polar Plot, Nyquist Plot.
Unit IV
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Unit V
MATLAB Application in Digital Signal Processing: Introduction, signal and systems classification, operations on discrete-time signals, Multirate signal processing functions, convolution, Z- Transform, Discrete Fourier Transform, Fast Fourier Transform, Discrete Cosine Transform, Digital Filtrer Design.
Course Objectives:
Students undergoing this course are expected:
- To understand interactive computation techniques and learn algorithm development in Matlab.
- To apply Matlab programming skills in communication engineering applications.
- To apply Matlab programming skills in control system applications.
- To apply Matlab application in neural networks and fuzzy logic.
- To apply Matlab programming skills in digital signal processing applications.
Course Outcomes:
- Understand the fundamentals of Matlab programming as well as understand and apply advance level programming techniques for solving problems using numerical methods.
- Learn, apply, and investigate Matlab applications in advance communication systems.
- Apply and investigate stability of systems and processes using time domain and frequency domain stability criterions like Routh-Hurwitz, State-space representation, Bode plots and Root Locus techniques.
- Learn, apply, and investigate Matlab applications in neural networks and fuzzy logic.
- Learn, apply, and investigate Matlab applications in digital signal processing including multi-rate DSP algorithms.
Reference Books:
- Raj Kumar Bansal, Ashok Kumar Goel and Manoj Kumar Sharma, “MATLAB and its Applications in Engineering ”, Pearson 14th impression,2014.
- Brian H. Hahn and Daniel T. Valentine, “Essential MATLAB for Engineering and Scientists”, Academic Press, Elsevier, 5th edition, 2013.
- Rudra Pratap, “MATLAB- A quick introduction for Scientists and Engineers”, Oxford University Press, 2013.
- www.mathworks.com
For detail syllabus of all other subjects of B.Tech Ice, 2019-20 regulation do visit Ice 7th Sem syllabus for 2019-20 Regulation.
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