预览结束
填写信息下载完整版手册
-
官方小程序
-
官方公众号
-
官方微博
-
百家号
课程设置：
|
The Master of Engineering in Electrical Engineering requires the completion of 96 units, which must consist of:
48 units from completion of the following compulsory courses: ENGN6250 Professional Practice 1 ENGN8260 Professional Practice 2 ENGN8100 Introduction to Systems Engineering ENGN8120 Systems Modelling ENGN8170 Group Project (12 units) ENGN6625 Power Systems and Power Electronics ENGN6223 Control Systems
|
电气工程学硕士课程需要完成96个学分，其中必须包括：
以下必修课程有48个学分： ENGN6250专业实践1 ENGN8260专业实践2 ENGN8120系统建模 ENGN8170集团项目（12个单元） ENGN6625电力系统和电力电子 ENGN6223控制系统
|
|
A minimum of 36 units from completion of courses from the following lists. These 36 units must consist of: A minimum of 12 units from completion of electrical engineering electives. A maximum of 18 units from completion of computing electives. A maximum of 6 units from completion of breadth electives. A minimum of 24 units from completion of 8000-level electrical engineering or computing electives.
Electrical Engineering Electives: ENGN6213 Digital Systems and Microprocessors ENGN6331 Systems Dynamics ENGN6334 Semiconductors ENGN6513 Fibre Optics Communication Systems ENGN6516 Energy Resources and Renewable Technologies ENGN6524 Photovoltaic Technologies ENGN6528 Computer Vision ENGN6536 Wireless Communications ENGN6537 Digital Signal Processing ENGN6626 Digital Communications ENGN6627 Robotics ENGN6539 Data Communication Networks* ENGN6628 Network Optimisation and Control** ENGN8224 Advanced Control Systems ENGN8534 Information Theory ENGN8535 Engineering Data Analytics ENGN8536 Advanced Topics in Mechatronics Systems ENGN8537 Embedded Systems and Real Time Digital Signal Processing ENGN8538 Probability and Stochastic Processes in Engineering ENGN8637 Advanced Topics in Communications and Signal Processing ENGN8830 Photovoltaic Power Plants ENGN8831 Integration of Renewable Energy into Power Systems and Microgrids ENGN8833 Industrial Energy Efficiency and Decarbonisation ENGN8625 Advanced Power Systems
Computing Electives: COMP6710 Structured Programming OR COMP6730 Programming for Scientists COMP6310 Systems, Networks and Concurrency COMP6262 Logic COMP6320 Artificial Intelligence COMP6464 High Performance Scientific Computing COMP6670 Introduction to Machine Learning (New course in 2019/2020) COMP8300 Parallel Systems COMP8600 Statistical Machine Learning
Breadth Electives SOCR8201 Introduction to Social Science Methods and Types of Data SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy SOCR8082 Social Research Practice ENVS6015 GIS and Spatial Analysis ENVS6021 Participatory Resource Management: Working with Communities and Stakeholders
|
从下列课程中完成课程起，至少需要36个学分。这36个学分必须包括： 完成电气工程选修课程后至少需要12个学分。 完成计算机选修课程后最多18个学分。 广度选修课后最多6个学分。 从完成8000级电气工程或计算机选修课程起，至少需要24个学分。
电气工程选修课： ENGN6213数字系统和微处理器 ENGN6331系统动力学 ENGN6334半导体 ENGN6513光纤通信系统 ENGN6516能源和可再生技术 ENGN6524光伏技术 ENGN6528计算机视觉 ENGN6536无线通信 ENGN6537数字信号处理 ENGN6626数字通信 ENGN6627机器人技术 ENGN6539数据通信网络* ENGN6628网络优化和控制** ENGN8224高级控制系统 ENGN8534信息论 ENGN8535工程数据分析 ENGN8536机电一体化系统中的高级主题 ENGN8537嵌入式系统和实时数字信号处理 ENGN8538工程中的概率和随机过程 ENGN8637通信和信号处理高级主题 ENGN8830光伏电站 ENGN8831将可再生能源整合到电力系统和微电网中 ENGN8833工业能源效率与脱碳 ENGN8625先进电源系统
计算机选修课： 适用于科学家的COMP6710结构化编程或COMP6730编程 COMP6310系统，网络和并发 COMP6262逻辑 COMP6320人工智能 COMP6464高性能科学计算 COMP6670机器学习简介（2019/2020年的新课程） COMP8300并行系统 COMP8600统计机器学习
广度选修课 SOCR8201社会科学方法和数据类型简介 SOCR8202使用数据回答策略问题和评估策略 SOCR8082社会研究实践 ENVS6015 GIS和空间分析 ENVS6021参与式资源管理：与社区和利益相关者合作
|
|
A maximum of 12 units from completion of elective courses offered by ANU
|
从澳大利亚国立大学提供的选修课程开始，最多12个学分 |
稍后会有顾问老师反馈评估结果