Week 1Lectures / Practicals
No separate week-by-week topic is publicly listed for Week 1; official repeated teaching activities are shown below: - Lecture: Lectures - Lectures will cover 1) use cases for data analytics at scale, 2) fundamental data infrastructure architectures, and 3) applications of data analytics at scale to problems like, e.g., recommender systems, log mining, and opinion mining. These sessions will also be used for exam preparation and student discussions. Learning outcomes: L01, L02, L03, L04, L05, L06 - Practical: Practicals - During this sessions, students will be exposed to the systems discussed during the lectures and they will be able to develop their own data analytics solutions over these scalable systems. Learning outcomes: L01, L02, L03, L06 Official timetable activities: - Lecture | Wed 12:00 | 120 mins | 07-234 Parnell Building, Learning Theatre - Practical | Wed 14:00 | 120 mins | 47A-351 Sir James Foots Building, Collaborative Room Source: 2026 S1 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7201-22188-7620
Week 2Lectures / Practicals
No separate week-by-week topic is publicly listed for Week 2; official repeated teaching activities are shown below: - Lecture: Lectures - Lectures will cover 1) use cases for data analytics at scale, 2) fundamental data infrastructure architectures, and 3) applications of data analytics at scale to problems like, e.g., recommender systems, log mining, and opinion mining. These sessions will also be used for exam preparation and student discussions. Learning outcomes: L01, L02, L03, L04, L05, L06 - Practical: Practicals - During this sessions, students will be exposed to the systems discussed during the lectures and they will be able to develop their own data analytics solutions over these scalable systems. Learning outcomes: L01, L02, L03, L06 Official timetable activities: - Lecture | Wed 12:00 | 120 mins | 07-234 Parnell Building, Learning Theatre - Practical | Wed 14:00 | 120 mins | 47A-351 Sir James Foots Building, Collaborative Room Source: 2026 S1 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7201-22188-7620
Week 3Lectures / Practicals
No separate week-by-week topic is publicly listed for Week 3; official repeated teaching activities are shown below: - Lecture: Lectures - Lectures will cover 1) use cases for data analytics at scale, 2) fundamental data infrastructure architectures, and 3) applications of data analytics at scale to problems like, e.g., recommender systems, log mining, and opinion mining. These sessions will also be used for exam preparation and student discussions. Learning outcomes: L01, L02, L03, L04, L05, L06 - Practical: Practicals - During this sessions, students will be exposed to the systems discussed during the lectures and they will be able to develop their own data analytics solutions over these scalable systems. Learning outcomes: L01, L02, L03, L06 Official timetable activities: - Lecture | Wed 12:00 | 120 mins | 07-234 Parnell Building, Learning Theatre - Practical | Wed 14:00 | 120 mins | 47A-351 Sir James Foots Building, Collaborative Room Source: 2026 S1 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7201-22188-7620
Week 4Lectures / Practicals
No separate week-by-week topic is publicly listed for Week 4; official repeated teaching activities are shown below: - Lecture: Lectures - Lectures will cover 1) use cases for data analytics at scale, 2) fundamental data infrastructure architectures, and 3) applications of data analytics at scale to problems like, e.g., recommender systems, log mining, and opinion mining. These sessions will also be used for exam preparation and student discussions. Learning outcomes: L01, L02, L03, L04, L05, L06 - Practical: Practicals - During this sessions, students will be exposed to the systems discussed during the lectures and they will be able to develop their own data analytics solutions over these scalable systems. Learning outcomes: L01, L02, L03, L06 Official timetable activities: - Lecture | Wed 12:00 | 120 mins | 07-234 Parnell Building, Learning Theatre - Practical | Wed 14:00 | 120 mins | 47A-351 Sir James Foots Building, Collaborative Room Source: 2026 S1 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7201-22188-7620
Week 5Lectures / Practicals
No separate week-by-week topic is publicly listed for Week 5; official repeated teaching activities are shown below: - Lecture: Lectures - Lectures will cover 1) use cases for data analytics at scale, 2) fundamental data infrastructure architectures, and 3) applications of data analytics at scale to problems like, e.g., recommender systems, log mining, and opinion mining. These sessions will also be used for exam preparation and student discussions. Learning outcomes: L01, L02, L03, L04, L05, L06 - Practical: Practicals - During this sessions, students will be exposed to the systems discussed during the lectures and they will be able to develop their own data analytics solutions over these scalable systems. Learning outcomes: L01, L02, L03, L06 Official timetable activities: - Lecture | Wed 12:00 | 120 mins | 07-234 Parnell Building, Learning Theatre - Practical | Wed 14:00 | 120 mins | 47A-351 Sir James Foots Building, Collaborative Room Source: 2026 S1 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7201-22188-7620
Week 6Lectures / Practicals
No separate week-by-week topic is publicly listed for Week 6; official repeated teaching activities are shown below: - Lecture: Lectures - Lectures will cover 1) use cases for data analytics at scale, 2) fundamental data infrastructure architectures, and 3) applications of data analytics at scale to problems like, e.g., recommender systems, log mining, and opinion mining. These sessions will also be used for exam preparation and student discussions. Learning outcomes: L01, L02, L03, L04, L05, L06 - Practical: Practicals - During this sessions, students will be exposed to the systems discussed during the lectures and they will be able to develop their own data analytics solutions over these scalable systems. Learning outcomes: L01, L02, L03, L06 Official timetable activities: - Lecture | Wed 12:00 | 120 mins | 07-234 Parnell Building, Learning Theatre - Practical | Wed 14:00 | 120 mins | 47A-351 Sir James Foots Building, Collaborative Room Source: 2026 S1 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7201-22188-7620
Week 7Lectures / Practicals
No separate week-by-week topic is publicly listed for Week 7; official repeated teaching activities are shown below: - Lecture: Lectures - Lectures will cover 1) use cases for data analytics at scale, 2) fundamental data infrastructure architectures, and 3) applications of data analytics at scale to problems like, e.g., recommender systems, log mining, and opinion mining. These sessions will also be used for exam preparation and student discussions. Learning outcomes: L01, L02, L03, L04, L05, L06 - Practical: Practicals - During this sessions, students will be exposed to the systems discussed during the lectures and they will be able to develop their own data analytics solutions over these scalable systems. Learning outcomes: L01, L02, L03, L06 Official timetable activities: - Lecture | Wed 12:00 | 120 mins | 07-234 Parnell Building, Learning Theatre - Practical | Wed 14:00 | 120 mins | 47A-351 Sir James Foots Building, Collaborative Room Source: 2026 S1 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7201-22188-7620
Week 8Lectures / Practicals
No separate week-by-week topic is publicly listed for Week 8; official repeated teaching activities are shown below: - Lecture: Lectures - Lectures will cover 1) use cases for data analytics at scale, 2) fundamental data infrastructure architectures, and 3) applications of data analytics at scale to problems like, e.g., recommender systems, log mining, and opinion mining. These sessions will also be used for exam preparation and student discussions. Learning outcomes: L01, L02, L03, L04, L05, L06 - Practical: Practicals - During this sessions, students will be exposed to the systems discussed during the lectures and they will be able to develop their own data analytics solutions over these scalable systems. Learning outcomes: L01, L02, L03, L06 Official timetable activities: - Lecture | Wed 12:00 | 120 mins | 07-234 Parnell Building, Learning Theatre - Practical | Wed 14:00 | 120 mins | 47A-351 Sir James Foots Building, Collaborative Room Source: 2026 S1 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7201-22188-7620
Week 9Lectures / Practicals
No separate week-by-week topic is publicly listed for Week 9; official repeated teaching activities are shown below: - Lecture: Lectures - Lectures will cover 1) use cases for data analytics at scale, 2) fundamental data infrastructure architectures, and 3) applications of data analytics at scale to problems like, e.g., recommender systems, log mining, and opinion mining. These sessions will also be used for exam preparation and student discussions. Learning outcomes: L01, L02, L03, L04, L05, L06 - Practical: Practicals - During this sessions, students will be exposed to the systems discussed during the lectures and they will be able to develop their own data analytics solutions over these scalable systems. Learning outcomes: L01, L02, L03, L06 Official timetable activities: - Lecture | Wed 12:00 | 120 mins | 07-234 Parnell Building, Learning Theatre - Practical | Wed 14:00 | 120 mins | 47A-351 Sir James Foots Building, Collaborative Room Source: 2026 S1 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7201-22188-7620
Week 10Lectures / Practicals
No separate week-by-week topic is publicly listed for Week 10; official repeated teaching activities are shown below: - Lecture: Lectures - Lectures will cover 1) use cases for data analytics at scale, 2) fundamental data infrastructure architectures, and 3) applications of data analytics at scale to problems like, e.g., recommender systems, log mining, and opinion mining. These sessions will also be used for exam preparation and student discussions. Learning outcomes: L01, L02, L03, L04, L05, L06 - Practical: Practicals - During this sessions, students will be exposed to the systems discussed during the lectures and they will be able to develop their own data analytics solutions over these scalable systems. Learning outcomes: L01, L02, L03, L06 Official timetable activities: - Lecture | Wed 12:00 | 120 mins | 07-234 Parnell Building, Learning Theatre - Practical | Wed 14:00 | 120 mins | 47A-351 Sir James Foots Building, Collaborative Room Source: 2026 S1 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7201-22188-7620
Week 11Lectures / Practicals
No separate week-by-week topic is publicly listed for Week 11; official repeated teaching activities are shown below: - Lecture: Lectures - Lectures will cover 1) use cases for data analytics at scale, 2) fundamental data infrastructure architectures, and 3) applications of data analytics at scale to problems like, e.g., recommender systems, log mining, and opinion mining. These sessions will also be used for exam preparation and student discussions. Learning outcomes: L01, L02, L03, L04, L05, L06 - Practical: Practicals - During this sessions, students will be exposed to the systems discussed during the lectures and they will be able to develop their own data analytics solutions over these scalable systems. Learning outcomes: L01, L02, L03, L06 Official timetable activities: - Lecture | Wed 12:00 | 120 mins | 07-234 Parnell Building, Learning Theatre - Practical | Wed 14:00 | 120 mins | 47A-351 Sir James Foots Building, Collaborative Room Source: 2026 S1 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7201-22188-7620
Week 12Lectures / Practicals
No separate week-by-week topic is publicly listed for Week 12; official repeated teaching activities are shown below: - Lecture: Lectures - Lectures will cover 1) use cases for data analytics at scale, 2) fundamental data infrastructure architectures, and 3) applications of data analytics at scale to problems like, e.g., recommender systems, log mining, and opinion mining. These sessions will also be used for exam preparation and student discussions. Learning outcomes: L01, L02, L03, L04, L05, L06 - Practical: Practicals - During this sessions, students will be exposed to the systems discussed during the lectures and they will be able to develop their own data analytics solutions over these scalable systems. Learning outcomes: L01, L02, L03, L06 Official timetable activities: - Lecture | Wed 12:00 | 120 mins | 07-234 Parnell Building, Learning Theatre - Practical | Wed 14:00 | 120 mins | 47A-351 Sir James Foots Building, Collaborative Room Source: 2026 S1 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7201-22188-7620