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Module ICE-0201:
Essential Computer Science

Module Facts

Run by School of Computer Science and Electronic Engineering

20 Credits or 10 ECTS Credits

Semester 2

Organiser: Dr David Edward Perkins

Overall aims and purpose

The Essential Computer Science module aims to provide students with the essential knowledge and skills in the subject of computer science, which are required for a successful progression to degree-level study. The module will cover a range of key topics including the structure of programming languages and the successful creation of programs, but will also place a strong emphasis on the application of knowledge and skills to a range of subject areas.

Course content

Topics covered by this module may include: Introduction to Programming Languages: development of languages; main paradigms within programming; programming tools such as IDEs; program lifecycle.

Key principles of programming languages: variables; selection statements to include if and case; iteration statements to include for, while and until; arrays; subroutines and functions.

Program Design: program structure; simple design tools including flowcharts and pseudocode.

Program implementation: testing and optimisation of code.

Structure and organisation of computer devices and systems.

Basic linear algebra, powers and fractions as applied to computer science.

Assessment Criteria

threshold

Grades D- to D+

Demonstrates a basic understanding of the subject but some errors present. Some inaccuracies and misconceptions evident. Limited ability to apply subject knowledge to new or different scenarios. The clarity of information presentation is weak and use of appropriate, subject-specific terminology is limited.

C- to C+

Grades C- to C+

A clearer understanding of the subject matter. Demonstrates ability to apply subject knowledge to new or different scenarios, but with some errors. The clarity of information presentation is acceptable and use of appropriate, subject-specific terminology is developing. There is evidence of some limited engagement with published information sources.

excellent

Grade A- and above An excellent understanding of the subject matter with virtually no inaccuracies and misconceptions evident. Demonstrates a very good ability to apply subject knowledge to new or different scenarios, with very few errors. The clarity of information presentation is excellent and use of appropriate, subject-specific terminology is very well developed. Evidence of reflectivity in the work produced.

good

Grades B- to B+ A good understanding of the subject matter. Very few inaccuracies and misconceptions evident. Demonstrates ability to apply subject knowledge to new or different scenarios, with few errors. The clarity of information presentation is good and use of appropriate, subject-specific terminology is well-developed. There is evidence of engagement with published information sources.

Learning outcomes

  1. Follow practical approaches to analyse problems and create computer programs.

  2. Apply decomposition and abstraction to derive algorithms, select appropriate data representation and present results clearly and logically.

  3. Employ appropriate mathematical techniques, concepts and a Computational Thinking approach to understand and improve processing of solutions.

  4. Demonstrate an accurate understanding, using appropriate specialist vocabulary, of principles and concepts that underpin computers and computer science

Assessment Methods

Type Name Description Weight
COURSEWORK Assignment 2: production of programs for complex scenarios

Production of computer code and associated information to meet the assessment requirements

25
EXAM Exam

Completion of code for unseen problems and explanation of underpinning theory

25
COURSEWORK Assignment 1: production of programs for simple scenarios

Production of computer code and associated information to meet the assessment requirements

25
COURSEWORK Assignment 3: support design and documentation

Production of computer code and associated information to meet the assessment requirements

25

Teaching and Learning Strategy

Hours
Lecture

24*2 hour lectures and practical sessions

48
Tutorial

121 hour tutorial (11 hour lectures per week)

12
Private study

Time spent working on guided and independent study and on the preparation of assignments.

140

Transferable skills

  • Numeracy - Proficiency in using numbers at appropriate levels of accuracy
  • Computer Literacy - Proficiency in using a varied range of computer software
  • Self-Management - Able to work unsupervised in an efficient, punctual and structured manner. To examine the outcomes of tasks and events, and judge levels of quality and importance
  • Exploring - Able to investigate, research and consider alternatives
  • Information retrieval - Able to access different and multiple sources of information
  • Inter-personal - Able to question, actively listen, examine given answers and interact sensitevely with others
  • Critical analysis & Problem Solving - Able to deconstruct and analyse problems or complex situations. To find solutions to problems through analyses and exploration of all possibilities using appropriate methods, rescources and creativity.
  • Presentation - Able to clearly present information and explanations to an audience. Through the written or oral mode of communication accurately and concisely.

Subject specific skills

  • Solve problems logically and systematically;
  • Access and synthesize information and literature sources;
  • Use both verbal and written communication skills to different target audiences;
  • Deploy theory in design, implementation and evaluation of systems
  • Deploy tools effectively
  • System Design
  • Knowledge and understanding of mathematical principles
  • Knowledge and understanding of computational modelling

Resources

Resource implications for students

Students will be required to access online resources. Use of personal computers or University facilities will enable this.

Talis Reading list

http://readinglists.bangor.ac.uk/modules/ice-0201.html

Courses including this module

Compulsory in courses: