SIT112 - Introduction to Data Science and Artificial Intelligence
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: Davoud Mougouei Trimester 2: Davoud Mougouei |
| Prerequisite: | Nil |
| Corequisite: | Nil |
| Incompatible with: | SIT114 |
| Educator-facilitated (scheduled) learning activities - on-campus unit enrolment: | 1 x 2 hour online lecture per week, 1 x 2 hour practical experiences (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 online practical experiences (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
Data science is an emerging field and data scientists must be able to know how to make sense of data. In SIT112, students will develop knowledge of fundamentals in data science, in particular data manipulation and algorithms for analytics. The unit will also cover the practice of data science including ethical and responsible behaviour when crawling, cleaning, analysing, representing and repurposing the data. Students will be able to obtain data, recognise data formats, summarise and visualise relationships in the data, perform exploratory data analysis tasks and build predictive models.
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 | Describe key concepts, algorithms, components of data science, and artificial intelligence and their applications in real-world scenarios. | GLO1: Discipline-specific knowledge and capabilities |
| ULO2 | Describe the synergies between data science and artificial intelligence, and outline the connections between these fields. | GLO1: Discipline-specific knowledge and capabilities |
| ULO3 | Adapt and explain programming scripts that make use of common data science and artificial intelligence algorithms, techniques, and tools. | GLO1: Discipline-specific knowledge and capabilities GLO3: Digital literacy |
| ULO4 | Effectively communicate artificial intelligence and data science solution designs and resulting insights, to technical and non-technical stakeholders. | GLO2: Communication |
| ULO5 | Evaluate the social and ethical implications of artificial intelligence adoption. | GLO1: Discipline-specific knowledge and capabilities GLO8: Global citizenship |
Assessment
| Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
|---|---|---|---|
| Learning Portfolio | Portfolio consisting of various programming and software design modelling tasks | 100% | Weekly task submissions with final learning portfolio finalised by the end of 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 SIT112 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.