CE204-5-SP-CO:
Data Structures and Algorithms

PLEASE NOTE: This module is inactive. Visit the Module Directory to view modules and variants offered during the current academic year.
The details
2023/24
Computer Science and Electronic Engineering (School of)
Colchester Campus
Spring
Undergraduate: Level 5
Inactive
Monday 15 January 2024
Friday 22 March 2024
15
21 July 2023

 

Requisites for this module
(none)
(none)
(none)
(none)

 

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Key module for

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Module description

Data structures and algorithms lie at the heart of Computer Science as they are the basis for the efficient solution of programming tasks. In this module, students will study core algorithms and data structures, as well as being given an introduction to algorithm analysis and basic computability.
The module will give students core algorithmic skills that are required for Years 2 and 3 of the Computer Science degree schemes.

Module aims

The aims of this module are to study core algorithms and data structures, as well as an introduction to algorithm analysis and basic computability. Students will study data types such as stacks, queues, trees and graphs, make efficient use of core data types in Java, understand time and space complexity, write and explain commonly used algorithms, use a variety of different data structures, and understand the concepts of computability and complexity.

Module learning outcomes

After completing this module, students will be expected to be able to:

1. Demonstrate an understanding of core data types such as stacks, queues, trees, and graphs.
2. Implement core data types in Java and write programs that make efficient use of them.
3. Reason about the time and space complexity of programs.
4. Demonstrate knowledge of commonly used algorithms.
5. Make informed decisions about the choice of data structure or algorithm for solving a problem.
6. Explain the main concepts of computability and how some problems have no algorithmic solution.

Module information

Outline Syllabus

. Data types
Abstract data types
Lists, stacks, queues, trees, sets, graphs

. Algorithms
Divide and conquer
Sorting and searching
Algorithms: binary search trees, minimum cost spanning trees, shortest paths, parse trees
Algorithm analysis: time and space complexity

. Basic computability, incomputable functions and the halting problem

Learning and teaching methods

Lectures and Labs

Bibliography

This module does not appear to have any essential texts. To see non - essential items, please refer to the module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Coursework weighting
Exam  Main exam: In-Person, Open Book (Restricted), 120 minutes during Summer (Main Period) 
Exam  Reassessment Main exam: In-Person, Open Book (Restricted), 120 minutes during September (Reassessment Period) 

Exam format definitions

  • Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
  • In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
  • In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
  • In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary, for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.

Your department will provide further guidance before your exams.

Overall assessment

Coursework Exam
30% 70%

Reassessment

Coursework Exam
30% 70%
Module supervisor and teaching staff
School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770

 

Availability
Yes
No
Yes

External examiner

Prof Pietro Oliveto
Southern University of Science and Technology (SUSTech)
Professor
Resources
Available via Moodle
Of 150 hours, 19 (12.7%) hours available to students:
131 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information
Computer Science and Electronic Engineering (School of)

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