No | Code | Course Title | Period Per Week | Credit Point | |||
---|---|---|---|---|---|---|---|
Lect. | Tut. | Pract. | Total | ||||
1 | McE-71037 | Digital Control System Analysis and Design | 4 | 0 | 0 | 4 | 4 |
2 | McE-71021 | Industrial Robotics | 4 | 0 | 0 | 4 | 4 |
3 | McE-71038 | Process Control Instrumentation Technology | 4 | 0 | 0 | 4 | 4 |
4 | EM- 71009 | Advanced Mathematics | 4 | 0 | 0 | 4 | 4 |
5 | E-71001 | English | 3 | 1 | 0 | 4 | 3.5 |
McE 71037 Digital Control System and Analysis (4-0-0) (Credit points =4)
The control problem, the Laplace transform, discrete-time system, transforms methods, theorems of the z-transform, the inverse z-transform, sampled-data control system, data reconstruction, digital to analog conversion, analog to digital conversion, open-loop discrete-time systems with time delays, closed-loop system
McE 71021 Industrial Robotics (4-0-0) (Credit points =4)
Overview of Robotic Mechanisms and Controller, Mechanisms, Controller, Kinematics, Position and Orientation of Objects, Coordinate Transformation, Joint Variables and Position of End Effector, Inverse Kinematics Problem, Jacobian Matrix, Statics and Jacobian Matrices, Dynamics, Lagrangian and Newton-Euler Formulations, Some Basics of Kinematics, Derivation of Dynamics Equations Based on Lagrangian Formulation, Derivation of Dynamic Equations Based on Newton-Euler, Use of Dynamics Equations and Computational Load, Identification of Manipulator Dynamics
McE 71038 Process Control Instrumentation Technology (4-0-0) (Credit points =4)
Introduction to Process Control, Analog Signal Conditioning, Digital Signal Conditioning, Thermal Sensors, Mechanical Sensors, Optical Sensors
EM71009Advanced Mathematics (3-1-0) (3.5 Credit Points)
Chapter 1. Linear Algebra: Matrix Eigenvalue Problems
Chapter 2. Numerics for ODEs and PDEs.
Chapter 3. Fourier Method
Chapter 4. Boundary Value Problems
E 71001 English (3-1-0) (Credit points =3.5)
The subject will be followed by English Department’s Instruction
No | Code | Course Title | Period Per Week | Credit Point | |||
---|---|---|---|---|---|---|---|
Lect. | Tut. | Pract. | Total | ||||
1 | E 72001 | English | 3 | 0 | 0 | 3 | 3 |
2 | EM-72010 | Advanced Engineering Mathematics II | 4 | 0 | 0 | 4 | 4 |
3 | McE-72047 | Intelligent Control | 4 | 0 | 0 | 4 | 4 |
4 | McE-72031 | Embedded System | 4 | 0 | 0 | 4 | 4 |
5 | McE-72057 | Digital Image Processing | 4 | 0 | 0 | 4 | 4 |
Chapter 1. Fourier Integrals and Applications
Chapter 2. Orthonormal Sets
Chapter 3. Sturm-Liouville Problems and Applications
Chapter 4. Bessel Functions and Applications
Chapter 5. Legendre Polynomials and Applications.
McE 72047 Intelligent Control (4-0-0) (Credit points =4)
Fuzzy Classification, Classification by Equivalence Relations, Cluster Analysis, Cluster Validity, c-Means Clustering, Hard c-Means (HCM), Fuzzy c-Means (FCM), Classification Metric, Hardening the Fuzzy c-Partition, Similarity Relations from Clustering, Fuzzy Pattern Recognition, Partitions of the Feature Space, Single-Sample Identification, Multifeature Pattern Recognition, Image Processing, Fuzzy Arithmetic, Crisp Functions, Mapping, and Relations, Functions of Fuzzy Sets – Extension Principle, Fuzzy Arithmetic, Interval Analysis in Arithmetic
Approximate Methods of Extension
McE 72031 Embedded System (4-0-0) (Credit points =4)
Embedded Systems Design, An Introduction to Embedded Systems Architecture, The Embedded Systems Model, An Overview of Programming Languages and Examples of Their Standards, Multiple Standards-Based Device Example, The Embedded Board and the von Neumann Model, Powering the Hardware, Basic Hardware Materials, ISA Architecture Models, Internal Processor Design, Processor Performance, Reading a Processor’s Datasheet, Read-Only Memory (ROM), Random-Access Memory (RAM), Auxiliary Memory, Memory Management of External Memory, Board Memory and Performance, Managing Data: Serial vs. Parallel I/O, Interfacing the I/O Components, I/O and Performance
McE 72057 Digital Image Processing (4-0-0) (Credit points =4)
The Origins of Digital Image Processing, Fundamental Steps in Digital Image Processing, Components of an Image Processing System, Elements of Visual Perception, Light and the Electromagnetic Spectrum, Image Sensing and Acquisition, Image Sampling and Quantization, Linear and Nonlinear Operations, Image Enhancement in the Spatial Domain, Some Basic Gray Level Transformations, Histogram Processing, Enhancement Using Arithmetic/Logic Operations, Basics of Spatial Filtering, Combining Spatial Enhancement Methods, Image Enhancement in the Frequency Domain, Introduction to the Fourier Transform and the Frequency Domain, Smoothing Frequency-Domain Filters, Sharpening Frequency Domain Filters, Image Restoration, A Model of the Image Degradation/Restoration Process, Restoration in the Presence of Noise Only–Spatial Filtering, Position-Invariant Degradations, Estimating the Degradation Function, Inverse Filtering, Constrained Least Squares Filtering, Geometric Mean Filter, Geometric Transformations