FIT1061
Introduction to artificial intelligence
基本信息
| 学分 | 6 credit points |
|---|---|
| 开课学期 | Second semester |
| 校区 | Malaysia |
| 考核构成 | Portfolio — 100% In class tests — 0% |
开课安排1 条
| 教学期 | 授课方式 | 状态 |
|---|---|---|
| Second 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 you to the field of Artificial Intelligence (AI) as a specialisation within Computer Science. It provides an overview of the foundations of AI, including the history, key concepts, and applications across diverse domains such as language, vision, and intelligent decision-making. You will explore introductory AI problem-solving techniques and develop a basic understanding of how AI systems are designed to emulate aspects of intelligence.
In parallel, the unit equips you with the essential mathematical and computational foundations required for later AI units. These include fundamental concepts from linear algebra and vector calculus, introduced in the context of solving simple AI-related problems such as classification and optimisation. Practical labs emphasise hands-on engagement through simulations, mathematical reasoning, and basic AI model-building, along with reflection on the societal and ethical implications of AI technologies.
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 Explain the scope and foundations of Artificial Intelligence, including its history, core concepts, and real-world applications.
- ULO2 Describe fundamental mathematical tools and explain their role in solving introductory AI problems.
- ULO3 Apply basic AI problem-solving techniques such as simple search strategies, classification, or optimisation in the context of case studies.
- ULO4 Reflect on the ethical use of AI, and demonstrate an ability to guide its impacts to benefit society and the natural environment.
教学方式与预期工作量
教学方式
Active learning
Enquiry-based learning
预期工作量
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
官方原文，版权属 Monash University。
先修 / 同修要求
以下先修关系按官方来源的结构化先修字段解析，原始记号：FIT1045 OR FIT1053
先修链路
按官方先修字段的原始分组展开，AND / OR 的区别保留着—— 「A 或 B」和「A 与 B」在选课时是两回事。每门课点进去可以继续往下看。
属于这些学位1 个
这门课出现在下列学位的官方结构里。反过来说：如果你读的是这些学位之一，它大概率是要修的 （必修还是选修取决于它在 Part 里的位置，点进去看结构）。
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。
发现信息有误？告诉我们。请用自己的话描述问题，不要上传成绩单、截图或校内系统文件。