SIT221 - Data Structures and Algorithms
Unit details
Year | 2025 unit information |
---|---|
Enrolment modes: | Trimester 1: Burwood (Melbourne), Waurn Ponds (Geelong), Online |
Credit point(s): | 1 |
EFTSL value: | 0.125 |
Unit Chair: | Trimester 1: Nayyar Zaidi |
Prerequisite: | SIT131 or SIT232 |
Corequisite: | Nil |
Incompatible with: | Nil |
Educator-facilitated (scheduled) learning activities - on-campus unit enrolment: | 1 x 2 hour online lecture per week, 1 x 2 hour practical experience (workshop) per week, weekly meetings. |
Educator-facilitated (scheduled) learning activities - online unit enrolment: | Online independent and collaborative learning including 1 x 2 hour online lecture per week (recordings provided), 1 x 2 hour practical experience (workshop) per week, weekly meetings. |
Typical study commitment: | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. This will include educator guided online learning activities within the unit site. |
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.
Learning Outcomes
ULO | These are the Unit Learning Outcomes (ULOs) for this unit. At the completion of this unit, successful students can: | Alignment to Deakin Graduate Learning Outcomes (GLOs) |
---|---|---|
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 |
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 |
ULO3 | Document problem and solution constraints, design decisions, and trade-offs involved in creating software solutions for a given problem. | GLO2: Communication |
Assessment
Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
---|---|---|---|
Learning portfolio | Portfolio | 100% | Week 12 |
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.
Learning resource
The texts and reading list for SIT221 can be found via the University Library.
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
Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, and your study load.
Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current Students website.