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昆士兰大学/课程目录

INFS3208

云计算

2 学分难度 难

As a major computing infrastructure, Cloud Computing provides the modern on-demand services for management and usage of large and shared computing resources including storage, computations and communications. This course will cover in-depth knowledge for Cloud Computing and the practical experience in designing and implementing large-scale and composite business web applications on Cloud Computing platform. This course covers a wide range of cloud computing-related X-as-a-Service technologies, including Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS), Data-as-a-Service (DaaS), and related technologies such as Cloud Computing Ecosystem. For delivering scalable computing services in a pay-as-you-go model via the Internet, Cloud Computing approaches are used to deal with effective and efficient development and deployment problems of web services and information systems with particular focus on "big data" challenges that arise across a variety of domains.

Course decision

选课先看

先看考核重心、截止节奏和入门要求，再决定这门课是否适合你的学期安排。

考核总权重

100%

3 项考核

最高单项

50%

Final Examination Hurdle Identity Verified In-person

期末考试

有

以官方 outline 为准

Hurdle

1 项

需要单独满足

Syllabus

每周大纲

默认只展示每周独有的知识重点；节奏、考核、Tutorial 和避坑信息按需展开。

  1. 1

    Lecture / Applied Class

    No separate week-by-week topic is publicly listed for Week 1; official repeated teaching activities are shown below: - Lecture: Lecture - Lectures will cover 1). Cloud Computing concepts, technologies, and applications; 2). Virtualisation technologies and Docker; 3). Apache Spark framework, programming, and applications; 4). Distributed file systems; 5). Google file system and BigTable; 6). Databases in Cloud Computing; 7). Hadoop and MapReduce; 8). Cloud Computing advanced topics: networking, load balancing, security, and privacy. The lectures will be delivered on campus. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 - Applied Class: Applied Class - Weekly applied classes aim to enhance the understanding of lectures and provide an opportunity for students to receive feedback. Learning outcomes: L01, L05, L06, L07, L08 Official timetable activities: - Lecture | Tue 17:00 | 120 mins | 03-206 Steele Building, Learning Theatre - Practical | Wed 08:00 | 60 mins | 78-208 General Purpose South, Computer Lab - Tutorial | Mon 14:00 | 60 mins | 78-208 General Purpose South, Computer Lab Source: 2026 S2 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/INFS3208-61178-7560

  2. 2

    Lecture / Applied Class

    No separate week-by-week topic is publicly listed for Week 2; official repeated teaching activities are shown below: - Lecture: Lecture - Lectures will cover 1). Cloud Computing concepts, technologies, and applications; 2). Virtualisation technologies and Docker; 3). Apache Spark framework, programming, and applications; 4). Distributed file systems; 5). Google file system and BigTable; 6). Databases in Cloud Computing; 7). Hadoop and MapReduce; 8). Cloud Computing advanced topics: networking, load balancing, security, and privacy. The lectures will be delivered on campus. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 - Applied Class: Applied Class - Weekly applied classes aim to enhance the understanding of lectures and provide an opportunity for students to receive feedback. Learning outcomes: L01, L05, L06, L07, L08 Official timetable activities: - Lecture | Tue 17:00 | 120 mins | 03-206 Steele Building, Learning Theatre - Practical | Wed 08:00 | 60 mins | 78-208 General Purpose South, Computer Lab - Tutorial | Mon 14:00 | 60 mins | 78-208 General Purpose South, Computer Lab Source: 2026 S2 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/INFS3208-61178-7560

  3. 3

    Lecture / Applied Class

    No separate week-by-week topic is publicly listed for Week 3; official repeated teaching activities are shown below: - Lecture: Lecture - Lectures will cover 1). Cloud Computing concepts, technologies, and applications; 2). Virtualisation technologies and Docker; 3). Apache Spark framework, programming, and applications; 4). Distributed file systems; 5). Google file system and BigTable; 6). Databases in Cloud Computing; 7). Hadoop and MapReduce; 8). Cloud Computing advanced topics: networking, load balancing, security, and privacy. The lectures will be delivered on campus. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 - Applied Class: Applied Class - Weekly applied classes aim to enhance the understanding of lectures and provide an opportunity for students to receive feedback. Learning outcomes: L01, L05, L06, L07, L08 Official timetable activities: - Lecture | Tue 17:00 | 120 mins | 03-206 Steele Building, Learning Theatre - Practical | Wed 08:00 | 60 mins | 78-208 General Purpose South, Computer Lab - Tutorial | Mon 14:00 | 60 mins | 78-208 General Purpose South, Computer Lab Source: 2026 S2 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/INFS3208-61178-7560

  4. 4

    Lecture / Applied Class

    No separate week-by-week topic is publicly listed for Week 4; official repeated teaching activities are shown below: - Lecture: Lecture - Lectures will cover 1). Cloud Computing concepts, technologies, and applications; 2). Virtualisation technologies and Docker; 3). Apache Spark framework, programming, and applications; 4). Distributed file systems; 5). Google file system and BigTable; 6). Databases in Cloud Computing; 7). Hadoop and MapReduce; 8). Cloud Computing advanced topics: networking, load balancing, security, and privacy. The lectures will be delivered on campus. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 - Applied Class: Applied Class - Weekly applied classes aim to enhance the understanding of lectures and provide an opportunity for students to receive feedback. Learning outcomes: L01, L05, L06, L07, L08 Official timetable activities: - Lecture | Tue 17:00 | 120 mins | 03-206 Steele Building, Learning Theatre - Practical | Wed 08:00 | 60 mins | 78-208 General Purpose South, Computer Lab - Tutorial | Mon 14:00 | 60 mins | 78-208 General Purpose South, Computer Lab Source: 2026 S2 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/INFS3208-61178-7560

  5. 5

    Lecture / Applied Class

    No separate week-by-week topic is publicly listed for Week 5; official repeated teaching activities are shown below: - Lecture: Lecture - Lectures will cover 1). Cloud Computing concepts, technologies, and applications; 2). Virtualisation technologies and Docker; 3). Apache Spark framework, programming, and applications; 4). Distributed file systems; 5). Google file system and BigTable; 6). Databases in Cloud Computing; 7). Hadoop and MapReduce; 8). Cloud Computing advanced topics: networking, load balancing, security, and privacy. The lectures will be delivered on campus. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 - Applied Class: Applied Class - Weekly applied classes aim to enhance the understanding of lectures and provide an opportunity for students to receive feedback. Learning outcomes: L01, L05, L06, L07, L08 Official timetable activities: - Lecture | Tue 17:00 | 120 mins | 03-206 Steele Building, Learning Theatre - Practical | Wed 08:00 | 60 mins | 78-208 General Purpose South, Computer Lab - Tutorial | Mon 14:00 | 60 mins | 78-208 General Purpose South, Computer Lab Source: 2026 S2 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/INFS3208-61178-7560

  6. 6

    Lecture / Applied Class

    No separate week-by-week topic is publicly listed for Week 6; official repeated teaching activities are shown below: - Lecture: Lecture - Lectures will cover 1). Cloud Computing concepts, technologies, and applications; 2). Virtualisation technologies and Docker; 3). Apache Spark framework, programming, and applications; 4). Distributed file systems; 5). Google file system and BigTable; 6). Databases in Cloud Computing; 7). Hadoop and MapReduce; 8). Cloud Computing advanced topics: networking, load balancing, security, and privacy. The lectures will be delivered on campus. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 - Applied Class: Applied Class - Weekly applied classes aim to enhance the understanding of lectures and provide an opportunity for students to receive feedback. Learning outcomes: L01, L05, L06, L07, L08 Official timetable activities: - Lecture | Tue 17:00 | 120 mins | 03-206 Steele Building, Learning Theatre - Practical | Wed 08:00 | 60 mins | 78-208 General Purpose South, Computer Lab - Tutorial | Mon 14:00 | 60 mins | 78-208 General Purpose South, Computer Lab Source: 2026 S2 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/INFS3208-61178-7560

  7. 7

    Lecture / Applied Class

    No separate week-by-week topic is publicly listed for Week 7; official repeated teaching activities are shown below: - Lecture: Lecture - Lectures will cover 1). Cloud Computing concepts, technologies, and applications; 2). Virtualisation technologies and Docker; 3). Apache Spark framework, programming, and applications; 4). Distributed file systems; 5). Google file system and BigTable; 6). Databases in Cloud Computing; 7). Hadoop and MapReduce; 8). Cloud Computing advanced topics: networking, load balancing, security, and privacy. The lectures will be delivered on campus. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 - Applied Class: Applied Class - Weekly applied classes aim to enhance the understanding of lectures and provide an opportunity for students to receive feedback. Learning outcomes: L01, L05, L06, L07, L08 Official timetable activities: - Lecture | Tue 17:00 | 120 mins | 03-206 Steele Building, Learning Theatre - Practical | Wed 08:00 | 60 mins | 78-208 General Purpose South, Computer Lab - Tutorial | Mon 14:00 | 60 mins | 78-208 General Purpose South, Computer Lab Source: 2026 S2 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/INFS3208-61178-7560

  8. 8

    Lecture / Applied Class

    No separate week-by-week topic is publicly listed for Week 8; official repeated teaching activities are shown below: - Lecture: Lecture - Lectures will cover 1). Cloud Computing concepts, technologies, and applications; 2). Virtualisation technologies and Docker; 3). Apache Spark framework, programming, and applications; 4). Distributed file systems; 5). Google file system and BigTable; 6). Databases in Cloud Computing; 7). Hadoop and MapReduce; 8). Cloud Computing advanced topics: networking, load balancing, security, and privacy. The lectures will be delivered on campus. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 - Applied Class: Applied Class - Weekly applied classes aim to enhance the understanding of lectures and provide an opportunity for students to receive feedback. Learning outcomes: L01, L05, L06, L07, L08 Official timetable activities: - Lecture | Tue 17:00 | 120 mins | 03-206 Steele Building, Learning Theatre - Practical | Wed 08:00 | 60 mins | 78-208 General Purpose South, Computer Lab - Tutorial | Mon 14:00 | 60 mins | 78-208 General Purpose South, Computer Lab Source: 2026 S2 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/INFS3208-61178-7560

  9. 9

    Lecture / Applied Class

    No separate week-by-week topic is publicly listed for Week 9; official repeated teaching activities are shown below: - Lecture: Lecture - Lectures will cover 1). Cloud Computing concepts, technologies, and applications; 2). Virtualisation technologies and Docker; 3). Apache Spark framework, programming, and applications; 4). Distributed file systems; 5). Google file system and BigTable; 6). Databases in Cloud Computing; 7). Hadoop and MapReduce; 8). Cloud Computing advanced topics: networking, load balancing, security, and privacy. The lectures will be delivered on campus. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 - Applied Class: Applied Class - Weekly applied classes aim to enhance the understanding of lectures and provide an opportunity for students to receive feedback. Learning outcomes: L01, L05, L06, L07, L08 Official timetable activities: - Lecture | Tue 17:00 | 120 mins | 03-206 Steele Building, Learning Theatre - Practical | Wed 08:00 | 60 mins | 78-208 General Purpose South, Computer Lab - Tutorial | Mon 14:00 | 60 mins | 78-208 General Purpose South, Computer Lab Source: 2026 S2 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/INFS3208-61178-7560

  10. 10

    Lecture / Applied Class

    No separate week-by-week topic is publicly listed for Week 10; official repeated teaching activities are shown below: - Lecture: Lecture - Lectures will cover 1). Cloud Computing concepts, technologies, and applications; 2). Virtualisation technologies and Docker; 3). Apache Spark framework, programming, and applications; 4). Distributed file systems; 5). Google file system and BigTable; 6). Databases in Cloud Computing; 7). Hadoop and MapReduce; 8). Cloud Computing advanced topics: networking, load balancing, security, and privacy. The lectures will be delivered on campus. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 - Applied Class: Applied Class - Weekly applied classes aim to enhance the understanding of lectures and provide an opportunity for students to receive feedback. Learning outcomes: L01, L05, L06, L07, L08 Official timetable activities: - Lecture | Tue 17:00 | 120 mins | 03-206 Steele Building, Learning Theatre - Practical | Wed 08:00 | 60 mins | 78-208 General Purpose South, Computer Lab - Tutorial | Mon 14:00 | 60 mins | 78-208 General Purpose South, Computer Lab Source: 2026 S2 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/INFS3208-61178-7560

  11. 11

    Lecture / Applied Class

    No separate week-by-week topic is publicly listed for Week 11; official repeated teaching activities are shown below: - Lecture: Lecture - Lectures will cover 1). Cloud Computing concepts, technologies, and applications; 2). Virtualisation technologies and Docker; 3). Apache Spark framework, programming, and applications; 4). Distributed file systems; 5). Google file system and BigTable; 6). Databases in Cloud Computing; 7). Hadoop and MapReduce; 8). Cloud Computing advanced topics: networking, load balancing, security, and privacy. The lectures will be delivered on campus. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 - Applied Class: Applied Class - Weekly applied classes aim to enhance the understanding of lectures and provide an opportunity for students to receive feedback. Learning outcomes: L01, L05, L06, L07, L08 Official timetable activities: - Lecture | Tue 17:00 | 120 mins | 03-206 Steele Building, Learning Theatre - Practical | Wed 08:00 | 60 mins | 78-208 General Purpose South, Computer Lab - Tutorial | Mon 14:00 | 60 mins | 78-208 General Purpose South, Computer Lab Source: 2026 S2 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/INFS3208-61178-7560

  12. 12

    Lecture / Applied Class

    No separate week-by-week topic is publicly listed for Week 12; official repeated teaching activities are shown below: - Lecture: Lecture - Lectures will cover 1). Cloud Computing concepts, technologies, and applications; 2). Virtualisation technologies and Docker; 3). Apache Spark framework, programming, and applications; 4). Distributed file systems; 5). Google file system and BigTable; 6). Databases in Cloud Computing; 7). Hadoop and MapReduce; 8). Cloud Computing advanced topics: networking, load balancing, security, and privacy. The lectures will be delivered on campus. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 - Applied Class: Applied Class - Weekly applied classes aim to enhance the understanding of lectures and provide an opportunity for students to receive feedback. Learning outcomes: L01, L05, L06, L07, L08 Official timetable activities: - Lecture | Tue 17:00 | 120 mins | 03-206 Steele Building, Learning Theatre - Practical | Wed 08:00 | 60 mins | 78-208 General Purpose South, Computer Lab - Tutorial | Mon 14:00 | 60 mins | 78-208 General Purpose South, Computer Lab Source: 2026 S2 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/INFS3208-61178-7560

Assessment

考核结构

Individual Programming Tasks

Official due date: Programming Task 1 29/08/2025 3:00 pm Programming Task 2 19/09/2025 3:00 pm Programming Task 3 17/10/2025 3:00 pm. Source: 2026 S2 UQ Course Profile.

30%

Individual Project Implementation

Official due date: 24/10/2025 3:00 pm. Source: 2026 S2 UQ Course Profile.

20%

Final Examination Hurdle Identity Verified In-personHurdle

Official due date: End of Semester Exam Period 8/11/2025 - 22/11/2025. Source: 2026 S2 UQ Course Profile.

50%

From Seniors

学长留下的

基础信息谁都查得到,真正值钱的是过来人的经验。

学姐说

比你早一年的学长留下的真实经验 —— ChatGPT 给不了。

这门课还没有学长经验,你可以是第一个 —— 注册后在课内分享。

往年考点 / 踩坑

这门课暂无往年考点记录。

毕业生去向(整体)

下面是匠人学院毕业生整体去过的公司分布(来自脱敏校友证言)。这是全平台的总体去向,不代表选这门课的人一定去这些公司。

统计自 317 份脱敏校友证言

Deloitte

6 位校友

岗位:Graduate Program · Graduate Consulting · Platform Engineer · Web developer · Platform engineer

Zerologix

4 位校友

岗位:Frontend Dev · junior frontend developer · Front-end Developer · Full Stack Developer

Servian

4 位校友

岗位:Full-stack Developer · Data Engineer · Consultant

关于这块数据,我们说实话

雇主墙来自脱敏毕业生证言（testimonials）的整体分布，无法关联到具体学员或其所选课程；仅作为毕业生去向的总体社会证明展示。

我们没有"某位学长选了这门课、后来进了哪家公司"这种可查询的个人去向档案 —— 校友证言是脱敏的,无法关联到具体的人或他选过的课。所以这里只给整体分布,不给个人路径,不编。