{"id":5780,"date":"2020-02-08T07:46:47","date_gmt":"2020-02-08T07:46:47","guid":{"rendered":"https:\/\/www.inspirenignite.com\/up\/advance-programming-in-engineering-ie-7th-sem-syllabus-for-aktu-b-tech-2019-20-scheme-departmental-elective-iii\/"},"modified":"2020-02-08T07:46:47","modified_gmt":"2020-02-08T07:46:47","slug":"advance-programming-in-engineering-ie-7th-sem-syllabus-for-aktu-b-tech-2019-20-scheme-departmental-elective-iii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/up\/advance-programming-in-engineering-ie-7th-sem-syllabus-for-aktu-b-tech-2019-20-scheme-departmental-elective-iii\/","title":{"rendered":"Advance Programming in Engineering IE 7th Sem Syllabus for AKTU B.Tech 2019-20 Scheme (Departmental Elective-III)"},"content":{"rendered":"

Advance Programming in Engineering detail syllabus for Instrumentation Engineering (IE), 2019-20 scheme is taken from AKTU<\/a> 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.<\/p>\n

For all other ie 7th sem syllabus for b.tech 2019-20 scheme aktu you can visit IE 7th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects<\/a>. For all other Departmental Elective-III subjects do refer to Departmental Elective-III<\/a>. The detail syllabus for advance programming in engineering is as follows.<\/p>\n

Unit I<\/h4>\n

For the complete syllabus, results, class timetable and more kindly download iStudy<\/a>. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.<\/b><\/p>\n

Unit II<\/h4>\n

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\n<\/p>\n

Unit III<\/h4>\n

MATLAB Applications in control system: Introduction, Laplace and Inverse Laplace Transform, Transfer function, Zero, Poles and Pole \u2013 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.\n<\/p>\n

Unit IV<\/h4>\n

For the complete syllabus, results, class timetable and more kindly download iStudy<\/a>. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.<\/b><\/p>\n

Unit V<\/h4>\n

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.\n<\/p>\n

Course Objectives:<\/h4>\n

Students undergoing this course are expected:<\/p>\n

    \n
  1. To understand interactive computation techniques and learn algorithm development in Matlab.<\/li>\n
  2. To apply Matlab programming skills in communication engineering applications.<\/li>\n
  3. To apply Matlab programming skills in control system applications.<\/li>\n
  4. To apply Matlab application in neural networks and fuzzy logic.<\/li>\n
  5. To apply Matlab programming skills in digital signal processing applications.<\/li>\n<\/ol>\n

    Course Outcomes:<\/h4>\n