Skip to main content
 

COMP1071: COMPUTER SYSTEMS

Please ensure you check the module availability box for each module outline, as not all modules will run in each academic year. Each module description relates to the year indicated in the module availability box, and this may change from year to year, due to, for example: changing staff expertise, disciplinary developments, the requirements of external bodies and partners, and student feedback. Current modules are subject to change in light of the ongoing disruption caused by Covid-19.

Type Open
Level 1
Credits 20
Availability Available in 2024/2025
Module Cap
Location Durham
Department Computer Science

Prerequisites

  • A-Level Maths (or equivalent) Grade A

Corequisites

  • COMP1051 Computational Thinking

Excluded Combinations of Modules

  • None

Aims

  • This module aims to give students an appreciation and understanding of the way in which modern computer systems (comprising both hardware and software) can effectively represent, transport and manipulate data.

Content

  • Digital electronics: Transistors; Logic gates; Combinational and sequential circuits.
  • Computer architecture: Processor architectures; Memory systems; Input-output mechanisms.
  • Operating systems.
  • Databases: Design and query of relational databases, in addition to normalisation techniques and aspects of relational algebra.

Learning Outcomes

Subject-specific Knowledge:

  • an understanding of a computer system's underlying machine architecture
  • an understanding of how a computer works
  • an understanding of the basic theory and design of operating systems
  • an understanding of the principles of good database construction.

Subject-specific Skills:

  • an ability to apply core concepts in the design and construction of complex computer systems
  • an ability to reason about computer systems and their performance
  • an ability to recognise performance problems in practical systems
  • an ability to apply core concepts in the design, construction and manipulation of relational databases.

Key Skills:

  • an ability to communicate technical information in a scientific fashion
  • an ability to confidently use general IT tools (such as editors, file management tools, printing tools and so on).

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Lectures provide the students with a mechanism by which to learn the theory behind the core topics within the module.
  • Practical classes support the lectures by enabling the application and appreciation of the theory.
  • Summative assignments encourage and guide further independent study and assess practical aspects of computer systems.
  • Summative examinations test the knowledge acquired and the students' ability to use this knowledge to solve new problems.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
lectures442 per week1 hour44 
practical classes211 per week2 hours42Yes
preparation and reading114 
total200 

Summative Assessment

Component: ExmainationComponent Weighting: 66%
ElementLength / DurationElement WeightingResit Opportunity
Examination2 hours100Yes
Component: CourseworkComponent Weighting: 34%
ElementLength / DurationElement WeightingResit Opportunity
Practical work 100Yes

Formative Assessment

Example formative exercises are given during the course. Additional revison lectures may be arranged in the module's lecture slots in the 3rd term.

More information

If you have a question about Durham's modular degree programmes, please visit our FAQ webpages, Help page or our glossary of terms. If you have a question about modular programmes that is not covered by the FAQ, or a query about the on-line Undergraduate Module Handbook, please contact us.

Prospective Students: If you have a query about a specific module or degree programme, please Ask Us.

Current Students: Please contact your department.