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                        Student Handbook 2019 International Program               Thai-Nichi Institute of Technology
                        DGE-209      Data Analytics                                            3(2-3-6)
                        Prerequisite  :  DGE-202 Artificial Intelligence Techniques 1 : Software-Based Approaches  and
                                     DGE-206 Numerical Methods and Discrete Mathematics
                        Corequisite   :  None
                                Data model and database architecture. Conceptual data definition for database
                        relationship design. Normalization. Database theory. Relational language for database.
                        Database application case study. Data collection and presentation. Industrial data
                        analysis. Linear distribution analysis. Single factor-none parameter analysis. Application for
                        design, analysis and interpret data. Data mining. Data warehouse. Statistic for data mining.
                        Database acknowledgement. Abstract definition. Online analytical processing and
                        multi-dimensional analysis. Data classification concept and classifier evaluation. Unequal
                        problems clustering. Data clustering. Data mining implementation.
                        DGE-301      Machine Learning                                          3(3-0-6)
                        Prerequisite  :  DGE-202 Artificial Intelligence Techniques 1 : Software-Based Approaches  and
                                     DGE-208 Artificial Intelligence Techniques 2 : Hardware-Based Approaches
                        Corequisite   :  None
                                Simulation and machine learning. Probability. Bayesian and Naive Bayesian
                        classification theory. Linear regression. Hidden Markov model. Learning Tree and
                        Learning Tree Decision. Neural networks hypothesis evaluation. Computational learning
                        theory. Learning by example. Learning rule set of support vector machine (SVM).
                        Evolutionary algorithms concepts and techniques in advanced research. Intelligent
                        Artificial Intelligence Multi-agent search systems and advanced planning. Integrated
                        image processing. Object description and object recognition. 3D visualization and maneuver
                        analysis.
                        DGE-302      Mechatronics                                              3(2-3-6)
                        Prerequisite  :  DGE-111 Mechanics for Digital Engineers  and DGE-201 Digital
                                     Signal Processing
                        Corequisite   :  None
                                Overview of the mechatronic system. Principles of measurement. Sensor
                        and transducer. Signal improvement circuits. Analog to digital converter. Digital circuit
                        technique. Principles of digital techniques for measuring electromagnetic and mechanical
                        energy conversion. Principle of DC and AC instruments. Principle of power electronic
                        circuits and basic applications in electrical instrument control. Principles of the feedback
                        control system. Types of basic controls and automation control in the industry. Advanced
                        sequence control technology. Conceptual design for mechanical, electrical, electronic and
                        control integration. Sequential control systems which emphasize on the concept synthesis.
                        Mechatronics Technology. Computer and Mechatronics control input.
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