Module Details |
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
Title | Global Trends in Computer Science | ||
Code | CKOL501 | ||
Coordinator |
Dr S Thomason Computer Science S.Thomason@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2019-20 | Level 7 FHEQ | Whole Session | 15 |
Aims |
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• To familiarise students with the online classroom environment and allow them to explore current practice in computer science and information technology by sharing their global perspectives and experiences in discussion forums. |
Learning Outcomes |
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(M1) Contribute to an academic community via the use of an online classroom and discussion forum, whilst demonstrating a commitment to lifelong learning, academic integrity and an understanding of the academic writing style. |
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(M2) Produce an artefact that involves searching for, assimilating and analysing relevant scholarly resources, reflecting a range of viewpoints with original thought and commentary, and demonstrating digital fluency with search tools and presentation software. |
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(M3) Demonstrate a critical understanding of current trends in computer science, and an appreciation of how information technology can be used to support business processes and add value to global enterprises. |
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(M4) Articulate the legal, social, ethical and professional issues related to developing and using information systems and modern technology solutions, demonstrate professionalism, and follow relevant professional codes of practice. |
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(S1) Ability to organise self and workloads. |
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(S2) Ability to communicate with others in an online environment. |
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(S3) Ability to use information technology (digital fluency). |
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(S4) Ability to use online library resources and conduct relevant searches for literature. |
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(S5) Ability to learn effectively in an online classroom (lifelong learning). |
Syllabus |
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Onboarding Phase: Week 2: Online Assessmnet Module Phase: Week 3: Trends in Computer Science Week 4: Information Technology Week 5: Data Week 6: Cyber security Week 7: Green computing. Week 8: Internet of things and smart cities. Week 9: Big data analytics. Week 10 Real-time, high integrity and embedded systems |
Teaching and Learning Strategies |
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The mode of delivery is by online learning, facilitated by a Virtual Learning Environment (VLE). This mode of study enables students to pursue modules via home study while continuing in employment. Module delivery involves the establishment of a virtual classroom in which a relatively small group of students (usually 10-25) work under the direction of a faculty member. Module delivery proceeds via a series of ten one-week online sessions, each of which comprises an online lecture, supported by other eLearning activities, posted electronically to a public folder in the virtual classroom. The eLearning activities will include lecture casts, live seminar sessions, self-assessment activities, reading materials and other multimedia resources. Communication within the virtual classroom is asynchronous, preserving the requirement that students are able to pursue the course in their own time, within the weekly time-frame of each seminar. An important element of the module provision is activ e learning through collaborative, cohort-based, learning using discussion fora where the students engage in assessed discussions facilitated by the faculty member responsible for the module. This in turn encourages both confidence and global citizenship (given the international nature of the online student body). |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
50 30 |
80 | |||||
Timetable (if known) | |||||||
Private Study | 70 | ||||||
TOTAL HOURS | 150 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Group Poster: Group work resulting in a poster that reviews one of the topics from the module and demonstrates digital fluency. | 1000-1500 words | 30 | ||||
Essay: An individual essay directed at one of the trending topics in computer science covered within the module. | 2000-2500 words | 30 | ||||
Discussion Question 2: Participate actively in an online discussion concerning one of the topics covered within the module, demonstrating an understanding of the key issues and showing original though | 1000-1500 words | 20 | ||||
Discussion Question 1: Participate actively in an online discussion concerning one of the topics covered within the module, demonstrating an understanding of the key issues and showing original though | 1000-1500 words | 20 |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |