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 | COMPUTER STRUCTURES | ||
Code | CKIT501 | ||
Coordinator |
Prof FP Coenen Computer Science Coenen@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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1. This module analyses the dynamics of Computer Science by reviewing topics in an historical perspective, whilst challenging the participants to monitor their possible future developments as Information Technology (IT) professionals. 2. This module presents an overview of many aspects of Computer Science and links them together into a coherent whole. Many of the topics covered also act as an introduction to the various subjects that make up the other modules offered by the programme. |
Learning Outcomes |
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(LO1) Integrate and outline the fundamental terminology and paradigms of CS |
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(LO2) Compare the basic hardware and software components of a computer system |
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(LO3) Appreciate the purpose of the operating system and of computer networks |
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(LO4) Construct and outline (or design) algorithms in a clear and unambiguous manner |
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(LO5) Appreciate what is meant by the complexity of an algorithm and by computability |
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(LO6) Produce and structure data organisation, from its initial structure up to databases |
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(LO7) Organise and critique current and potential future trends in CS, including Artificial Intelligence, Software Engineering, modern high level languages |
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(S1) Skills in using technology - Online communications skills |
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(S2) Communication (oral, written and visual) - Presentation skills - written |
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(S3) Time and project management - Personal organisation |
Syllabus |
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Week 1: Participating in the global classroom Week 2: Outlining arguments for scholarly discourse Week 3: Exploring new Avenues with Computing Week 4: Machine architecture Week 5: Operating systems and networks Week 6: Computer Networks Weeks 7 and 8: Algorithms and Analysis Week 9: Programming Languages Week 10: Software engineering and data structures Week 11: Databases and file structures Week 12: Issues in current research in Computer Science |
Teaching and Learning Strategies |
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Teaching Method 1 - Virtual classroom hours (for online modules) Teaching Method 2 - Non-classroom hours (for online modules) |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
72 78 |
150 | |||||
Timetable (if known) | |||||||
Private Study | 0 | ||||||
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 |
Assessment 1 There is a resit opportunity. Standard UoL penalty applies for late submission. Assessment Schedule (When) :Whole Session | Weekly Discussion Qu | 50 | ||||
Assessment 2 There is a resit opportunity. Standard UoL penalty applies for late submission. Assessment Schedule (When) :Whole Session | Weekly Hand in Assig | 50 |
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. |