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Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title Mechanics of Search
Module Code CA6005
School School of Computing
Module Co-ordinatorSemester 1: Cathal Gurrin
Semester 2: Cathal Gurrin
Autumn: Cathal Gurrin
Module TeachersCathal Gurrin
Denise Freir
Hyowon Lee
Annalina Caputo
NFQ level 9 Credit Rating 7.5
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Coursework Only
Students need to re-submit any failed submissions

In this module, students will learn major technical concepts, methods and technologies that make possible the end-user functionality generally termed as ‘search’, i.e. to retrieve a wanted piece of information from a large digital collection where manual indexing is not feasible. Topics addressed include history and introduction of Information Retrieval (IR), text and web retrieval with major text processing techniques and classical retrieval models including Boolean Model, Vector Space Model and Probabilistic Model, evaluation methodologies for IR, ranking algorithms including PageRank for web, social media search, and multimedia content retrieval including the principles of image and video content analysis in the context of search. Many application scenarios and usages will be exposed to students along with end-user issue, usability and user experiences required for successful search interaction. The module consists of a series of assignments throughout the semester and a semester-long project that requires incorporating knowledge learned from the module. Concepts, algorithms and techniques for retrieving the information are such an important components now indispensable in any digital systems dealing with large amount of information, and the module will equip the students with clear foundational understanding of how they work in practice and what future improvements are coming.

Learning Outcomes

1. Explain major Information Retrieval concepts, methods and technologies used in state-of-the-art search systems today
2. Demonstrate the ability to apply search concepts and algorithms in novel information retrieval contexts, devices and usage scenarios
3. Demonstrate their understanding of end-user interaction and experiences in supporting search technologies in such a way that improves and enhances psychological health and well-being through the usage
4. Design end-user search interaction that is easy-to-learn, easy-to-use and supports high level of usability
5. Evaluate search systems in terms of their effectiveness and usability

Workload Full-time hours per semester
Type Hours Description
Lecture24Synchronous online lecture with live discussions and breakout activities
Fieldwork60Bi-weekly assignment to work individually and the completion and submission of 1 design project
Independent Study96No Description
Total Workload: 180

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Assessment Breakdown
Continuous Assessment100% Examination Weight0%
Course Work Breakdown
TypeDescription% of totalAssessment Date
Laboratory PortfolioBi-weekly submission to apply what was learned into concrete usage context by designing and describing an application with back-end and front-end50%Every Second Week
ProjectThe semester-long project that incorporates all aspects of topics learned, by designing a search system with major back-end and front-end components. Presentation and report submission.50%Sem 2 End
Reassessment Requirement Type
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component
This module is category 1
Indicative Reading List

    Other Resources

    Synchronous online lectures will include a number of collaborative discussions and breakout activities to maximally engage the students during the class hours.
    Programme or List of Programmes
    MCMM.Sc. in Computing

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