| Semester 2, 2023 Toowoomba On-campus | |
| Units : | 1 |
| School or Department : | School of Mathematics, Physics & Computing |
| Grading basis : | Graded |
| Course fee schedule : | /current-students/administration/fees/fee-schedules |
Staffing
Course Coordinator:
Requisites
Pre-requisite or Co-requisite: CSC5020 and STA6200
Overview
Given the exponentially growing amount of data we increasingly encounter, information retrieval technologies and systems have become very crucial means to help us quickly query and retrieve useful information to support more advanced data analytics and high-level decision-making. Using specific data, valuable knowledge can be generated. Knowledge management represents the process of defining, structuring, retaining, and sharing the knowledge and experience within organisations. In this course, you will learn the methodologies, technologies and systems for the design and implementation of gathering, indexing, and searching information as well as the process of defining, organising and sharing knowledge. This course will equip you with the knowledge and skills of efficiently retrieving targeted information as well as managing high-level knowledge built upon data analytics.
This course will deliver the fundamental concepts, state-of-the-art techniques, and applications in both information retrieval and knowledge management. A variety of teaching & learning approaches and activities will be utilised in the course, where engagement sessions will deliver the lectures covering the fundamental concepts and techniques, while the lab workshops will provide students with opportunities to gain exposure to the systems and applications. Students will also engage in a course project to gain hands-on experiences with information retrieval and knowledge management with real-life applications.
Course learning outcomes
On successful completion of this course students will be able to:
- Analyse a real-world complex problem demonstrating deep understanding of information retrieval and knowledge management concepts and techniques
- Design a technically sound solution to a complex problem by identifying and using appropriate information retrieval and/or knowledge management techniques
- Evaluate the performance of information retrieval and/or knowledge management systems designed for a data science problem to have a good understanding of the performance metrics of IR and/or KM practice
- Effectively communicate the insights and experiences gained by retrieving information and managing knowledge to a specialist and non-specialist audience
- Make appropriate judgments informed by ethics, professional codes of conduct, and culture awareness in information retrieval and knowledge management practice
Topics
| Description | Weighting(%) | |
|---|---|---|
| 1. | Introduction to information retrieval | 5.00 |
| 2. | Text indexing and organisation | 30.00 |
| 3. | Web information retrieval | 15.00 |
| 4. | Evaluation of information retrieval | 15.00 |
| 5. | Introduction to knowledge management | 5.00 |
| 6. | Knowledge management process | 10.00 |
| 7. | Knowledge management systems and solutions | 20.00 |
Text and materials required to be purchased or accessed
Student workload expectations
To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.
Assessment details
| Description | Group Assessment |
Weighting (%) | Course learning outcomes |
|---|---|---|---|
| Problem Solving 1 | No | 30 | 1,2,3 |
| Problem Solving 2 | No | 20 | 1,2,3 |
| Problem Solving 3 | No | 50 | 4,5,6 |