ENG6805
Statistical data processing and operations research
基本信息
| 学分 | 0 credit points |
|---|---|
| 开课学期 | First semester |
| 校区 | Malaysia |
| 考核构成 | Quiz 1 — 5% Assignment 2 — 20% Final asessment — 50% Weekly exercises — 5% Assignment 1 — 15% Quiz 2 — 5% |
开课安排1 条
| 教学期 | 授课方式 | 状态 |
|---|---|---|
| First semester | Teaching activities are on-campus (ON-CAMPUS) | 开课 |
以上为该校区在官方资料中登记的全部开课安排，不是汇总。同一门课可能在多个 教学期开课，也可能不同教学期的授课方式不同。
课程简介
This unit introduces the basic engineering statistical analysis and operations research techniques for engineers. Topics include modelling data, statistical inferences, correlations and simple linear regressions, linear programming, Simplex Method for linear programming, Duality Theory, and Sensitivity Analysis. The unit is oriented towards industrial engineering applications rather than mathematical development.
以上为 Monash Handbook 的官方原文，版权属 Monash University，此处按本站要求转载并标注出处： 官方页面 ↗
学习成果4 条
官方原文（Learning outcomes），版权属 Monash University。
- ULO1 Apply operational research methods to problems in a system.
- ULO2 Apply data analysis using statistical methods in a system.
- ULO3 Design and justify statistical ideas and concepts for improving the efficiency of a system.
- ULO4 Design an efficient system by utilising computer-based statistics, operations research modelling and data analysis.
教学方式与预期工作量
教学方式
Enquiry-based learning - You will discuss the application of statistics and operations research for each problem, understand the data generated and provide feasible and practical solutions to the problems.
Simulation or virtual practice - You will apply an operations research and statistics software to a problem, generate and anaylse the data and provide a feasible and practical solution to the problem.
Active learning - • Hands-on learning through analysis and software to model the problem during class.
• Q&A learning activity, discussion with peers on the topics.
Case-based teaching - You will participate in discussions on industrial problems and case examples and understand the approach to the solution of the problems.
预期工作量
The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.
官方原文，版权属 Monash University。
先修 / 同修要求
官方资料未列出该课程的先修要求。
先修链路
官方资料未列出该课程的先修要求，因此没有链路可画。
互斥课程1 门
这些课和本课内容重叠，不能同时算进同一个学位（官方目录的 Prohibition 字段）。选了其中一门，另一门通常只能算选修学分甚至完全不计—— 这跟先修不同，先修是"没修过就不能选"，互斥是"修了也不能两门都算"。
原始记号：ENG5805
数据来源
- 数据来源
- 官方网页
handbook.monash.edu ↗ - 抓取时间
- 2026-09-13
- 可信度
- 程序抓取，未人工核实
查看官方完整描述 ↗ — 事实性字段（代码、学分、教学期、授课方式、考核权重、先修/同修/互斥关系）与 课程简介、学习成果、教学方式、预期工作量均取自官方 Handbook； 正文版权属 Monash University，此处转载并逐处标注出处。
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