DOC《浙江工业大学》

1 2

3 4 Master'

s Degree Course Common Course

228501 Theory and Practice for Scientific Socialism

36 2 √ √ exam Required Course

228502 Dialectics of Nature

18 1 √ √ exam

213502 Applied English

64 4 √ √ √ √ exam

203585 Information Retrieval and Writing

16 1 √ exam

214602 Intellectual Property

16 1 √ √ exam

203589 Engineering Ethics

16 1 √ exam Specialized Course

203545 Digital Communication Systems

48 3 √ √ exam More Than 9Credits

203590 Modern Signal Processing

48 3 √ √ exam

203547 Information Theory and Coding

48 3 √ √ exam

203548 Signal Detection and Estimation

48 3 √ √ exam

203596 Stochastic Process &

Queue Theory

48 3 √ √ exam

203517 Embedded System

48 3 √ exam Non-Master'

s Degree Course Elective Course

204286 Principle of Management

32 2 √ √ evaluation Total credits of all courses are greater than

26 credits 213507-213510 Second foreign Language

32 2 √ √ evaluation

203551 The Principle and System of Mobile Communication

32 2 √ evaluation

203591 Nonlinear Fiber Optics and Applications

32 2 √ evaluation

203553 Software Radio

32 2 √ evaluation

203554 Simulation of Communication System

32 2 √ evaluation

203555 Network Modeling and simulation analysis

32 2 √ evaluation

203556 High-Performance Communication Networks

32 2 √ evaluation

203557 Photonic Devices and Optical Communication System

32 2 √ evaluation

203558 RF Technology and Antenna

32 2 √ evaluation

203559 RF Circuit Design for Wireless Communications

32 2 √ evaluation

203592 Signal Analysis

32 2 √ evaluation

203518 Digital Image Processing

48 3 √ exam

203529 Machine Learning

48 √ exam

303514 System Identification

48 √ exam

203537 Intelligent Video Analysis

32 √ evaluation

203587 Big Data

32 √ evaluation

203561 Weak Signal Detection

32 2 √ evaluation

203562 Adaptive Signal Processing

32 2 √ evaluation

203563 Semiconductor Devices in Modern Communications

32 2 √ evaluation

203564 Fourier Optics and Optical Information Processing

32 2 √ evaluation

203565 Signal Integrality Analysis

32 2 √ evaluation

203566 Cloud Computing Technology and Applications

32 2 √ evaluation

203567 Data Acquisition and Processing Technology

32 2 √ evaluation

203568 Biomedical Signal Processing

32 2 √ evaluation

203569 Special Topic on 3D computer vision technology

16 1 √ evaluation

203544 Special Topic on Intelligent Equipment and Measurement System

16 1 √ evaluation

203579 Sensor network

32 2 √ evaluation

203539 Embedded Multimedia Processing

32 2 √ evaluation practice links

203573 Engineering Practice 0.5year

3 evaluation College and teacher arrange

203574 Professional Practice 6week

3 evaluation

203575 Preliminary Report speak

1 time,attend

2 time 0.5 evaluation

203576 Academic Report

1 0.5 evaluation 实践环节 实践环节包括专业实践3学分、工程实践3学分、开题报告0.5学分和学术报告0.5学分. 1.专业实践 专业实践是学生应用本学科的基础理论、专业知识和基本技能,针对专业特点进行研究和设计开发的大型实践环节,旨在培养学生系统分析、设计、开发与研究的基本能力,使学生掌握一定的基本操作技能,获得一定的动手能力. 实践形式采用教师指导、1人1组、学生自主学习与研究、设计与实践、答辩与验收等教学方式.学生根据自身学科专业,选择一个实际设计课题进行设计与制作,真正地掌握系统的设计与实现方法,时间为6周. 专业实践内容可以包括:(1)系统设计:(2)电路设计;