INTRODUCTION
Dean’s Greeting Introduction History MSDE FACULTY ABOUT Northumbria Univ.
CURRICULUM/UNDERGRADUATE
Education Goals Course Overview Curriculum Map Carrer Directions
CURRICULUM/GRADUATE
Introduction Eduacation And Research Focus Areas Course Overview
RESEARCH(LABORATORIES)
Electronics Convergence Lab Electro-Mechanical Systems Lab Non-linear Structural Behavior Assessment Lab Advances in Micro/nano Systems (AiMS) Lab Nanoparticle Engineering Lab Manufacturing AI Lab (MAI Lab)
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Course Overview
홈 영문 - MSDE학과(신규) CURRICULUM/GRADUATE Course Overview
Year : 
Semester :  1 2 
Division subject No Subject Credit In English
Major Required Courses 9680010 Master Thesis 1 3
Major Electives 9680015 New Product Development 3
Major Required Courses 9680016 Master Thesis 2 3
Major Electives 9680017 Next-Generation Energy Systems Design 3
Major Electives 9680019 Nano-Manufacturing Processes 3
Major Electives 9680021 Sensors and Actuators 3
Major Electives 9680022 Signal Processing 3
Major Electives 9680025 Writing scientific papers 3
Major Electives 9680026 Convergence Management and R&D 3
Major Electives 9680027 Converging Technology Management Strategies 3
Major Required Courses 9680032 Doctoral Thesis 1 3
Major Required Courses 9680033 Doctoral Thesis 2 3
Major Electives 9680036 Engineering Plasticity 3
Major Electives 9680037 Machine Learning Engineering 3
Major Electives 9680038 Nano Semiconductor Engineering 3
Major Electives 9680039 Engineering Design with Computational Analysis Methodology_Applications 3
Major Electives 9680040 Advanced Precision Machining Inspection Project (1) 3
Major Electives 9680041 Advanced Precision Machining Inspection Project (2) 3
Major Electives 9680042 Advanced Precision Machining Fundamentals 3
Major Electives 9680043 Advanced Precision Machining Fundamentals 3
Major Electives 9680044 Introduction to Particle Engineering 3
Major Electives 9680045 Precision Mechanical System Design (1) 3
Major Electives 9680046 Precision Mechanical System Design (2) 3
Major Electives 9680047 3
Major Electives 9680048 Applied Machine Learning Engineering 3
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