UnitLevel 2Undergraduate

FIT2115 Data structures and algorithms 1

Faculty of Information Technology

FIT2115 Data structures and algorithms 1 is a level 2, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2027 in Semester 1 and Semester 2 at Clayton and Malaysia. It needs FIT1045 and unlocks 6 units, leading on to 13 units in all.

Credit points
6
Offered in 2027
Semester 1, Semester 2
Clayton, Malaysia
Workload
144 hours
per semester

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Requisites

Overview

Data structures and algorithms are the tools that allow programs to solve problems efficiently, reliably and at scale. This unit develops the core algorithmic thinking and implementation skills needed to move from a problem statement to a well-structured computational solution.

You will learn to represent problems using appropriate data structures, design algorithms that use those structures effectively, and reason about how choices affect correctness, performance and maintainability. The unit covers abstract data types, recursion, introductory complexity analysis, and structures such as stacks, queues, lists, trees, heaps and hash tables. You will evaluate algorithm behaviour both theoretically and experimentally, building a practical understanding of time, space and trade-offs.

Through structured programming activities, you will strengthen your ability to design, implement, test and explain algorithmic solutions. The unit builds disciplined habits of precise reasoning, careful coding, performance awareness and reflection, preparing you for later study in advanced algorithms, software design, artificial intelligence, systems and computational problem solving.

Offerings in 2027

Teaching periodCampusMode
First semesterClaytonFlexible
First semesterMalaysiaOn campus
Second semesterClaytonFlexible
Second semesterMalaysiaOn campus

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Analyse computational problems to identify suitable algorithmic strategies, data representations and performance considerations;

  2. 2

    Demonstrate understanding of data structures and algorithms by implementing, using and testing them in ways that support correctness, readability and maintainability;

  3. 3

    Design modular algorithmic solutions using appropriate abstract data types, including lists, stacks, queues, trees, heaps and hash tables;

  4. 4

    Explain how data structure and algorithm choices affect program behaviour, resource use, scalability and computational performance, using scaffolded AI-supported activities to strengthen understanding while validating outputs through independent reasoning;

  5. 5

    Plan, monitor and reflect on the development of your algorithmic thinking and implementation practice through focused problem solving, feedback and iterative improvement;

  6. 6

    Communicate algorithmic reasoning, implementation choices, performance trade-offs and testing evidence using appropriate technical terminology and representations.

Workload and teaching

  • Teaching approachActive learning

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.

Where it fits

FIT2115 is part of 4 areas of study in the 2027 handbook.

Common questions

What are the prerequisites for FIT2115?

You need FIT1045 before you enrol.

What can I take after FIT2115?

FIT2115 is a prerequisite or corequisite for 6 units, including FIT3232, FIT3233, FIT3234, FIT3235, FIT4047 and FIT5240. Those lead on to 13 units in all.

When is FIT2115 offered?

In 2027, FIT2115 runs in Semester 1 and Semester 2 at Clayton and Malaysia.

How much work is FIT2115?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Which majors and minors include FIT2115?

FIT2115 is part of Agentic software engineering, Computer science and Software engineering.

More details

Credit points
6
Level
2
Study level
Undergraduate
Faculty
Faculty of Information Technology
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Available
Handbook years
2027