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SIT221 - Data Structures and Algorithms

Year:

2021 unit information

Important Update:

Unit delivery will continue to be provided in line with the most current COVIDSafe health guidelines. This may include a mix of on-campus and online activities. To find out how you are impacted, please check your unit sites for announcements and updates. Unit sites open one week prior to the start of each Trimester/Semester.

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Last updated: 4 June 2021

Enrolment modes:Trimester 1: Burwood (Melbourne), Waurn Ponds (Geelong), Online
Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 1: Richard Dazeley
Prerequisite:

SIT131 or SIT232

Corequisite:

Nil

Incompatible with:

Nil

Typical study commitment:

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus:

1 x 2 hour class per week, 1 x 2 hour practical per week.

Scheduled learning activities - cloud:

1 x 1 hour scheduled online workshop per week.

Content

SIT221 introduces students to in memory data modelling and computational trade-offs when developing software. Computing platforms from Internet-Of-Things (IoT) devices to supercomputers have limited or restricted resources available to software engineers in terms of memory, computational power, and energy consumption. Writing efficient and high-quality programs is the technical skill every technology company is after. This unit will extend student programming capabilities by exploring the application and implementation of different data structures and algorithms and considerations associated with appropriate selection of these tools to meet different system requirements.

ULO These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: Deakin Graduate Learning Outcomes
ULO1

Evaluate the memory usage and computational complexity of different solution strategies and use this to provide recommendations in terms of solution direction for given problem scenarios

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
GLO5: Problem solving

ULO2

Create and use a range of data structures and algorithms to design solutions and implement programs that address specified requirements and constraints

GLO1: Discipline-specific knowledge and capabilities
GLO5: Problem solving

ULO3

Document problem and solution constraints, design decisions, and trade-offs involved in creating software solutions for a given problem

GLO2: Communication

These Unit Learning Outcomes are applicable for all teaching periods throughout the year

Assessment

Assessment Description Student output Weighting (% total mark for unit) Indicative due week
Learning portfolio portfolio 80% Week 12
Examination 2-hour written examination 20% Examination period

The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.

Hurdle requirement

To be eligible to obtain a pass in this unit, students must meet certain milestones as part of the portfolio, and must achieve a mark of at least 50% in the examination.

Learning Resource

The texts and reading list for the unit can be found on the University Library via the link below: SIT221 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.

Unit Fee Information

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