Course Details in 2018/19 Session

Module Title	LM Fundamentals: Data Structures
School	Computer Science
Department	Computer Science
Module Code	06 30378
Module Lead	Eliseo Ferrante
Level	Masters Level
Credits	10
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Exclusions
Description	The module will explore fundamental data structures and associated algorithms, and their representation in high-level programming languages. The module is particularly suitable for MSc students who have little previous background in Computer Science. The aims of this module are to: Give an overview of fundamental data structures and algorithms. Explain the relative strengths and limitations of the fundamental data structures
Learning Outcomes	By the end of the module students should be able to: Understand and distinguish between a range of abstract data types and their underlying representation Appreciate the difference between basic complexity classes of algorithms Assess and select the most appropriate abstract data types in solving a range of problems
Assessment	30378-01 : Examination : Exam (Centrally Timetabled) - Written Unseen (80%) 30378-02 : Continuous Assessment : Coursework (20%)
Assessment Methods & Exceptions	Assessment: 1.5 hour examination (80%), continuous assessment (20%) Supplementary (where allowed): 1.5 hour examination (100%)
Other	Duplicate of Birmingham-based programme 21921
Reading List