Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| Information Retrieval Systems | |||
| Reference | CMM539 | Version | 4 |
| Created | February 2023 | SCQF Level | SCQF 11 |
| Approved | July 2016 | SCQF Points | 15 |
| Amended | June 2023 | ECTS Points | 7.5 |
| Aims of Module | |||
|---|---|---|---|
| To introduce the student to fundamental roles and practical impacts of advanced information search systems, and adaptive or intelligent technology on web based products, systems, services and activities. To undertake and investigation of a topic, assess current information offerings, and develop an understanding of the methods and tools for a relevant technical application. To explore innovative smart information applications, products, solutions, or services that meet end-user or business needs that create entrepreneurial opportunities. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Explain the main concepts of current and intelligent technologies for information search and retrieval applications |
| 2 | Analyse and evaluate the effectiveness of information systems |
| 3 | Select appropriate information system technologies. |
| 4 | Design and/or implement intelligent web based information systems. |
| 5 | Communicate effectively findings, challenges, and solutions to problems in information systems explaining the methods and technical details. |
| Indicative Module Content |
|---|
| Information collection: crawling and document/content pre processing. Information retrieval: indexing, search, and retrieval. Content: Web content, heterogeneous data, image/video/audio and multimedia content. Web and information environments: mobile information, context aware retrieval, ambient computing, cross/multilingual systems, and social media. Intelligent / adaptive systems: personalisation, recommendation, user modelling, and interactive smart information systems. |
| Module Delivery |
|---|
| The module is taught using a structured programme of lectures, tutorials, practical exercises and student-centred learning. Lectures are used to deliver the main principles and techniques in an interactive manner with active question-answer, tutorial and group break-out sessions as appropriate. Computing laboratories will be used to: examine case studies which reinforce the material covered in the lectures; to encourage the exploration of systems and solutions; to design and implement prototype intelligent web-based information systems. The understanding of the student is further enhanced through directed reading. |
| Indicative Student Workload | Full Time | Part Time |
|---|---|---|
| Contact Hours | 30 | 30 |
| Non-Contact Hours | 120 | 120 |
| Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
| TOTAL | 150 | 150 |
| Actual Placement hours for professional, statutory or regulatory body |
| ASSESSMENT PLAN | |||||
|---|---|---|---|---|---|
| If a major/minor model is used and box is ticked, % weightings below are indicative only. | |||||
| Component 1 | |||||
| Type: | Practical Exam | Weighting: | 100% | Outcomes Assessed: | 1, 2, 3, 4, 5 |
| Description: | A practical exam assessing knowledge and practical skills in information retrieval techniques and evaluation of their results. | ||||
| MODULE PERFORMANCE DESCRIPTOR | |
|---|---|
| Explanatory Text | |
| The calculation of the overall grade for this module is based on 100% weighting of Component 1. To pass the module students should achieve grade D or better. | |
| Module Grade | Minimum Requirements to achieve Module Grade: |
| A | Grade A in Assessment Component 1 |
| B | Grade B in Assessment Component 1 |
| C | Grade C in Assessment Component 1 |
| D | Grade D in Assessment Component 1 |
| E | Grade E in Assessment Component 1 |
| F | Grade F in Assessment Component 1 |
| NS | Non-submission of work by published deadline or non-attendance for examination |
| Module Requirements | |
|---|---|
| Prerequisites for Module | None in addition to course entry requirements. |
| Corequisites for module | None. |
| Precluded Modules | None. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | CERI, S., BOZZON, A., BRAMBILLA, M., DELLA VALLE, E., FRATERNALI, P., and QUARTERONI, S. 2013. Web Information Retrieval. Springer Science & Business Media. |
| 2 | RUSSELL-ROSE, T., and TATE, T. 2013. Designing the search experience: The information architecture of discovery. Newnes. |
| 3 | GOKER, A. and DAVIES J., 2009. Searching in the 21st Century. Wiley. |
| 4 | RUSSELL, S. and NORVIG, R., 2010. Artificial Intelligence: A Modern Approach, 3rd Ed., Prentice Hall. |
| 5 | ULUSOY, O., TANSEL, A.U., and ARKUN, E. 2015. Recommendation and Search in Social Networks. Cham: Springer International Publishing. |