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Algorithms and Data Structures
Undergraduate | LTU-CSE2ALG | 2024
- Study method
- 100% online
- Assessments
- Subject may require attendance
- Entry requirements
- Prior study needed
- Duration
- 12 weeks
- Start dates
- 4 Mar 2024
HECS-HELP and FEE-HELP available
Algorithms and Data Structures
About this subject
On successful completion you will be able to:
- Explain the overall objectives of the field of Algorithms and Data Structures
- Identify a range of data structures and searching and sorting algorithms in the context of computing.
- Implement a range of data structures and searching and sorting algorithms in Java.
- Compare a range of data structures and searching and sorting algorithms and apply a suitable one to solving a problem.
- Design a solution for a problem, implement it in Java, and evaluate its performance using an appropriate measure.
- Complexity Analysis
- Sorting Algorithms
- Binary Search Trees
- AVL Trees
- Hash Tables
- B-Trees
- Heaps
- Graphs
This subject covers a range of important algorithms and data structures. Data structures for implementing containers are covered and include linear structures, tree structures and hash tables. Algorithms for insertion and deletion of elements, and algorithms for searching and sorting on these structures are covered where appropriate. Graphs and graph algorithms are also covered. Students will learn the construction and workings of the data structures and algorithms covered. They will learn to analyse the effectiveness of each data structure and algorithm for specific problems and categories of problems. Students will also implement in programs a wide range of the structures and algorithms covered.
- Assignment (1500-word equivalent) Assignment will focus on data structures and algorithms - design, implement and evaluate a solution. (30%)
- 4 quizzes (1000-word equivalent) (20%)
- 2-hour final examination (2,000-word equiv.) (50%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Prior study
You must either have successfully completed the following subject(s) before starting this subject, or currently be enrolled in the following subject(s) in a prior study period; or enrol in the following subject(s) to study prior to this subject:
Please note that your enrolment in this subject is conditional on successful completion of these prerequisite subject(s). If you study the prerequisite subject(s) in the study period immediately prior to studying this subject, your result for the prerequisite subject(s) will not be finalised prior to the close of enrolment. In this situation, should you not complete your prerequisite subject(s) successfully you should not continue with your enrolment in this subject. If you are currently enrolled in the prerequisite subject(s) and believe you may not complete these all successfully, it is your responsibility to reschedule your study of this subject to give you time to re-attempt the prerequisite subject(s).
Others
Past La Trobe University students who have previously completed CSE1IOX (Intermediate Object-Oriented Programming) are ineligible to enrol in this subject.
Additional requirements
No additional requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
What to study next?
Once you’ve completed this subject it can be credited towards one of the following courses
UndergraduateLAT-BUS-DEG
UndergraduateLAT-ART-DEG
UndergraduateLAT-PYS-DEG
UndergraduateLAT-TEC-DEG
UndergraduateLAT-CYS-DEG
UndergraduateLAT-HSC-DEG
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