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Module Title LC Foundations of Computer Science
SchoolComputer Science
Department Computer Science
Module Code 06 22754
Module Lead Dr DR Ghica, Dr JA Bullinaria
Level Certificate Level
Credits 20
Semester Full Term
Restrictions None
Contact Hours Lecture-45 hours
Seminar-0 hours
Tutorial-0 hours
Project supervision-0 hours
Demonstration-0 hours
Practical Classes and workshops-22 hours
Supervised time in studio/workshop-0 hours
Fieldwork-0 hours
External Visits-0 hours
Work based learning-0 hours
Guided independent study-0 hours
Placement-0 hours
Year Abroad-0 hours
Description The module will introduce the fundamental concepts of Computer Science, such as the representation of data in computer memory, programming constructs, data models and data structures and the analysis of algorithms. The ideas will be presented abstractly, although examples will be given in the language used in the parallel programming workshop modules
Learning Outcomes By the end of the module the student should be able to:
  • Demonstrate understanding of the principles of algorithmic programming;
  • Demonstrate understanding of abstract models of data and computation;
  • Make informed choices between alternative ways of implementation, justifying choices on grounds such as time and space complexity or considerations of numerical accuracy;
  • Explain and apply data structures such as binary trees, heap-trees, graphs and tables, together with their internal representations and relevant algorithms;
  • Select, with justification, appropriate data structures to ensure efficient implementation of an algorithm (e.g. searching, insertion, deletion or sorting);
  • Explain the differences between basic complexity classes of algorithms (constant, linear, quadratic, logarithmic, exponential);
  • Argue that algorithms are correct, and derive their time complexity;
  • Select, with justification, appropriate algorithms for basic tasks such as searching, including reference to the algorithm's complexity class.
Assessment 22754-01 : Examination : Exam (Centrally Timetabled) - Written Unseen (80%)
22754-02 : Continuous Assessment : Coursework (20%)
Assessment Methods & Exceptions 3 hr examination (80%), continuous assessment (20%).
Other None
Reading List Adamson I, Data Structures & Algorithms: A First Course, 1997;
Goldschlager L & Lister A, Computer Science, a Modern Introduction, Prentice Hall, 1988;
Detailed module notes will be provided;
Brookshear, Computing Science: an Overview, Addison-Wesley;
Horstmann C S, Computing Concepts with Java Essentials, 1998;
Collins W J, Data Structures: An Object-Oriented Approach, 1992;
Aho A V & Ullman J D, Foundations of Computer Science in C, Freeman & Co..
Standish T A, Data Structures in Java, 1997;