List of Credits for Graduation

Academic Year 2023, Master Program, College of Mechanical and Electrical Engineering, Master of Science in Smart Railway Technology

YearSemesterRequired
Elective
Course IDCourse NameCreditsHoursLevelNote
1 1 C025001 Engineering Seminar 1.0 2 1 / 2  
1 1 3615054 Advanced C programming 3.0 3    
1 1 3635022 RF Impedance Matching 3.0 3    
1 1 4005026 Electromechanical Matericals 3.0 3    
1 1 4005036 Engineering of Films Coating 3.0 3    
1 1 4005071 Special Topics on e-Design and e-Development 3.0 3    
1 1 4005131 Artificial intelligent and machine learning 3.0 3    
1 1 4405002 Railway Vehicle Design and Analysis 3.0 3    
1 1 4505404 Computing Fluid Dynamics 3.0 3    
1 1 5605027 Finite Element Analysis 3.0 3    
1 1 5605032 Kinematic Analysis of Mechanisms 3.0 3    
1 1 5605061 Advanced Mechanics of Materials 3.0 3    
1 1 6105005 Introduction to Automation System 3.0 3    
1 1 6105059 Artificial Intelligence 3.0 3    
1 1 C005005 Railway Communication and Information Systems 3.0 3  
1 2 C025001 Engineering Seminar 1.0 2 2 / 2  
1 2 3105199 Deep Learning 3.0 3    
1 2 3615001 Design and Analysis of Computer Algorithms 3.0 3    
1 2 3615035 Data Compression 3.0 3    
1 2 3615047 Internet of Things and Sensor Networks 3.0 3    
1 2 3615050 Building Deep Learning Applications 3.0 3    
1 2 3625042 Theory and implementation of image and video compression 3.0 3    
1 2 3735012 Heuristic Algorithm 3.0 3    
1 2 4005017 Adaptive Controls 3.0 3    
1 2 4005113 Automatic Optical Inspection 3.0 3    
1 2 4005924 Cloud Database Technology 3.0 3    
1 2 5605056 Non-Destructive Testing of Materials and Structures 3.0 3    
1 2 5605057 Joining processes 3.0 3    
1 2 5905108 Object-Oriented Analysis and Design 3.0 3    
1 2 5905126 Video Signal Processing 3.0 3    
1 2 5905156 Introduction to Information Retrieval 3.0 3    
1 2 5905187 Big Data Mining and Applications 3.0 3    
1 2 5905191 Principles and Applications of Data Science 3.0 3    
1 2 6105023 Neural Network 3.0 3    
1 2 6105078 Applied Technology of the Internet of Things 3.0 3    
1 2 C025002 Graduate On-Site Research 3.0 18    
1 2 C025003 Railway Vehicle System and Maintenance Depot 3.0 3  
2 1 C026001 Thesis 3.0 3 1 / 2  
2 1 4006004 Application of Intelligent Controller 3.0 3    
2 1 4406047 Vehicle Braking and Control Systems 3.0 3    
2 1 4406119 Advanced Vehicle Dynamics 3.0 3    
2 1 4406122 Intelligent Vehicle Dynamics and Control 3.0 3    
2 1 4406130 Special Topics on Suspension Systems 3.0 3    
2 1 4406203 Engineering Optimization Methods and Applications 3.0 3    
2 2 C026001 Thesis 3.0 3 2 / 2  
2 2 4006001 MEMS Technology and Applications 3.0 3    
2 2 5606004 Advanced Computer Aided Engineering Analysis 3.0 3    
2 2 AC06201 Human-Computer Interaction Design 3.0 3    

Note :
1.最低畢業學分:32學分。
2.必修8學分:含論文6學分(分2學期修習)、專題討論2學分(分2學期修習);選修24學分。
3.◎為2選1之專業必選課程,學生需至少修習通過1門;該門課程需於本所日間部修習,始得承認為畢業必選課程。
4.除2選1必選課程外,學生修習本組選修課程至少4門;修習外所課程以9學分為採計上限;跨學制課程等同外所。