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水声工程专业研究生课程“学、研、践”教学探索——以随机过程课程为例

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【摘要】 以紧贴强国强军需要、提升人才培养质量为根本任务,该文结合水声工程专业的研究生培养需求,对专业必修课随机过程在“学、研、践”方面进行教学探索与实践。在“学”的方面,采用设计思维导图、加强知识关联、引入实际用例等手段,加深学生对随机过程知识的理解和掌握;在“研”的方面,为顺应新工科发展需求,选取隐马尔可夫过程、马尔可夫随机场、马尔可夫链蒙特卡洛方法、马尔可夫决策过程和贝叶斯滤波五个内容,采用翻转课堂的手段,增强学生对前沿基础知识的研究;在“践”的方面,设计海洋混响场建模、舰船辐射噪声分析、舰船健康度评估、水声稀疏信道估计、水下滑翔机路径规划、声纳图像目标检测和水下机动目标跟踪等水声工程专业相关的开放式题目,通过学生分组合作的方式将所学知识用于解决实际科学问题,从而既提升学生对基础知识的掌握,又提升科学研究水平。

【Abstract】 With the task of keeping up with the needs of building a strong country and army, and improving the quality of talent-cultivation, this paper explores and practices the specialized course named "Stochastic Process", combined with the needs of cultivating postgraduates majoring in underwater acoustic engineering, in the aspects of "learning, researching and practice". In the aspect of "learning", designing mind-map, strengthening knowledge relation and introducing practical cases are adopted to deepen students’ understanding and mastery of stochastic process. In the aspect of "researching", in order to meet the development needs of "emerging engineering education", the authors select hidden Markov process, Markov random field, Markov chain Monte Carlo,Markov decision process and Bayesian filter, and use the means of flipped classroom to enhance students’ research on frontier basic knowledge. In terms of "practice", the authors design open-ended problems related to underwater acoustic engineering, such as ocean reverberation field modeling, ship radiation noise analysis, ship health assessment, underwater acoustic sparse channel estimation,underwater glider path planning, sonar image target detection, underwater maneuvering target tracking, etc., and encourage students to solve the practical scientific problems through cooperation. In this way, students can not only master the basic knowledge, but also improve the skill of scientific research.

【基金】 黑龙江省本科高校教育教学改革研究一般项目“专创能力培养与新工科专业融合探索”(SJGY20220084);黑龙江省研究生课程思政高质量建设项目“随机过程”(无编号);2022年哈尔滨工程大学高等教育教学改革研究项目“《随机过程》‘学、研、践’的教学探索与实践”(JG2022Y026)
  • 【文献出处】 高教学刊 ,Journal of Higher Education , 编辑部邮箱 ,2024年32期
  • 【分类号】G643;TB56-4
  • 【下载频次】32
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