Module Details

Module Code: COMP C7013
Full Title Data Structures
Valid From: Semester 1 - 2019/20 ( June 2019 )
Language of Instruction:English
Duration: 1 Semester
Credits: 5
Module Author Bernadette Brosnan
Departments: Unknown
Module Description: Students completing this module will be able to select and implement appropriate data structures for a range of problems.
 
Module Learning Outcome
On successful completion of this module the learner will be able to:
# Module Learning Outcome Description
MLO1 Select and use appropriate data structures for the solution of a variety of problems.
MLO2 Implement and test a variety of data structures.
MLO3 Discuss the advantages and disadvantages of a variety of data structures.
Pre-requisite learning
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named DkIT module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
No recommendations listed
 
Indicative Content
Linked Lists
Comparison with arrays, creation. insert elements, delete elements.
Stacks and Queues
Array and link list based implementations.
Sets
Overview, implementation, hashing, chaining, collisions.
Maps
Implementation, hashing, chaining, collisions.
Data Structure Analysis
Big O notation, time and space efficiency analysis, data structure selection.
Module Content & Assessment
Assessment Breakdown%
Course Work60.00%
End of Module Formal Examination40.00%
Special Regulation
 

Assessments

Full Time

Course Work
Assessment Type Class Test % of Total Mark 20
Marks Out Of 0 Pass Mark 0
Timing Week 4 Learning Outcome 2
Duration in minutes 0
Assessment Description
Practical test
Assessment Type Class Test % of Total Mark 20
Marks Out Of 0 Pass Mark 0
Timing Week 10 Learning Outcome 1,2
Duration in minutes 0
Assessment Description
Practical Test
Assessment Type Continuous Assessment % of Total Mark 20
Marks Out Of 0 Pass Mark 0
Timing Every Second Week Learning Outcome 1,2,3
Duration in minutes 0
Assessment Description
Formative assessment where students will work both individually and in pairs on various problems
No Project
No Practical
End of Module Formal Examination
Assessment Type Formal Exam % of Total Mark 40
Marks Out Of 0 Pass Mark 0
Timing End-of-Semester Learning Outcome 1,3
Duration in minutes 0
Assessment Description
End of semester written examination.

Part Time

Course Work
Assessment Type Class Test % of Total Mark 20
Marks Out Of 0 Pass Mark 0
Timing Week 4 Learning Outcome 2
Duration in minutes 0
Assessment Description
Practical test
Assessment Type Class Test % of Total Mark 20
Marks Out Of 0 Pass Mark 0
Timing Week 10 Learning Outcome 1,2
Duration in minutes 0
Assessment Description
Practical Test
Assessment Type Continuous Assessment % of Total Mark 20
Marks Out Of 0 Pass Mark 0
Timing Every Second Week Learning Outcome 1,2,3
Duration in minutes 0
Assessment Description
Formative assessment where students will work both individually and in pairs on various problems
No Project
No Practical
End of Module Formal Examination
Assessment Type Formal Exam % of Total Mark 40
Marks Out Of 0 Pass Mark 0
Timing End-of-Semester Learning Outcome 1,3
Duration in minutes 0
Assessment Description
End of semester written examination.

DKIT reserves the right to alter the nature and timings of assessment

 

Module Workload & Resources

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Practical Contact There will be two 2-hour sessions of lab based classes per week where theory and practical content will be integrated. Every Week 4.00 4
Directed Reading Non Contact Course related materials for discussion in class. Every Week 2.00 2
Independent Study Non Contact Practice to reinforce class work Every Week 2.00 2
Total Weekly Learner Workload 8.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Practical Contact There will be two 2-hour sessions of lab based classes per week where theory and practical content will be integrated. Every Week 4.00 4
Directed Reading Non Contact Course related materials for discussion in class. Every Week 2.00 2
Independent Study Non Contact Practice to reinforce class work Every Week 2.00 2
Total Weekly Learner Workload 8.00
Total Weekly Contact Hours 4.00
 
Resources
Supplementary Book Resources
  • Dale, Joyce, Weems. (2016), Object Oriented Data Structures using Java, 4. Jones & Bartlett, [ISBN: 9781284089097].
  • Timothy Henry, Frank Carrano. (2015), Data Structures and Abstractions with Java, 4. Pearson, [ISBN: 978129207718].
  • John Lewis. (2014), Java Software Structures: Designing and Using Data Structures, 4. Pearson, [ISBN: 978-01332501].
This module does not have any article/paper resources
Other Resources
 
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