SHE level 11 SCQF credit points 15 ECTS credit points 7.5 Module code MMI226823 Module Leader Huaglory Tianfield School School of Science & Engineering Subject Computing Trimester A (September start), A (September start)
Summary of content This module seeks to develop understanding and practical skills in advanced research methods which are in line with industry regulations, standards and practices and are applicable to complex Data Science projects. Study is undertaken in an integrated fashion to ensure that the professional framework within which such projects are developed, deployed and managed are fully understood.
Module details Syllabus arrow_forward -Ethical Considerations in research: Research involving human subjects, using minors and vulnerable people in research activities applicability of professional body codes of practice
Learning outcomes arrow_forward On successful completion of this module a student should be able to:
Teaching / learning strategy arrow_forward The learning and teaching strategy for this module has been informed by the university's 'Strategy for Learning' design principles. The course material is introduced through lectures and laboratory sessions that draw upon and extend the lecture material to deepen students' knowledge. The laboratory sessions are designed as a set of formative exercises and a substantial summative exercise spanning several weeks. The formative exercises introduce a range of technologies that allow students to gain confidence and build knowledge of the range of solutions that can be applied to particular problems. Summative exercises provide experience in real-world problem-solving and challenges students to demonstrate analytical skills and capacity for divergent thinking. Tutorials will be used to help explain and elaborate on both the lecture material and the laboratory exercises these will include a range of case studies that bring a global perspective to the subject matter. During all lab and tutorial sessions students receive formative feedback on their performance in undertaking the laboratory and tutorial exercises. Summative feedback and grades are also provided for the coursework assignments undertaken as part of the module, using GCULearn. GCU Learn is also used to provide the students with module specific Forums and Wikis to stimulate student and lecturer interaction outwith the normal lecture, laboratory and tutorial sessions.
Transferrable skills arrow_forward D2Critical thinking and problem solving
Module structure Activity Total hours Lectures 11 Tutorials 0 Practicals 22 Seminars 0 Independent Learning 99 Assessment 18 Placement 0
Assessment methods Component Duration Weighting Threshold Description Course Work001 30 45 CW1: Written Assessment 1500 words Course Work002 70 45 CW2: Written Assessment 3000 words
