CE204-5-PT-CA:
Data Structures and Algorithms
2181/182
Computer Science and Electronic Engineering (School of)
Colchester Campus & Apprenticeship Location
Spring Special
Undergraduate: Level 5
Current
Monday 14 January 2019
Friday 22 March 2019
15
-
Requisites for this module
(none)
(none)
(none)
(none)
(none)
Aims
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.
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.
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
No information available.
No information available.
STUDENTS SHOULD NOTE THAT THIS MODULE INFORMATION IS SUBJECT TO REVIEW AND CHANGE
Work-based-learning supported by online course material and webinars. The students will receive via Moodle and Listen Again all lectures given in CE204.
This module does not appear to have a published bibliography.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Coursework |
Progress Test |
|
33.33% |
| Coursework |
Assignment 1 Programming Exercises |
|
33.33% |
| Coursework |
Assignment 2 Programming |
|
33.34% |
| Exam |
Main exam: 120 minutes during Summer (Main 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
Reassessment
Module supervisor and teaching staff
Dr Sebastian Halder
csee-schooloffice@essex.ac.uk
No
No
No
Dr Ke Chen
The University of Manchester
Senior Lecturer
Available via Moodle
No lecture recording information available for this module.
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