Type: | Postgraduate Subject |
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Code: | DTSC71-100 |
EFTSL: | 0.125 |
Faculty: | Bond Business School |
Semesters offered: |
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Credit: | 10 |
Study areas: |
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Subject fees: |
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Description
This subject is an introduction to programming. There is a focus on writing computer code to solve problems in business, which promotes the development of problem-solving skills. The necessary foundation concepts are covered, including expressions, variables, data structures, control structures, functions, commenting and debugging. Although it can be taken as a stand-alone subject, it is specifically designed for students interested in future study in data science and big data analytics. Two widely popular programming languages for data science, R and Python, will be used as vehicles for learning programming. Cutting-edge R and Python packages used by data scientists will be covered in this subject.
Prior coding knowledge and experience is not a requirement for this subject
Subject details
Learning outcomes
- Draft working computer programs that use variables, assignment and expressions, control structures and functions.
- Identify and apply the appropriate procedures to document computer code according to common-use standards.
- Develop computer programs in R and Python to solve business problems.
- Decompose a complex problem into the constituent parts necessary to develop a modular software solution.
Enrolment requirements
Requisites: |
Nil |
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Assumed knowledge: |
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.
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Restrictions: |
This subject is not available to
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Subject outlines
- January 2023 [Online - Online [January 2023]]
- September 2022 [Online - Online [September 2022]]
- January 2022 [Online - Online [January 2022]]
- September 2021 [Online - Online [September 2021]]
- January 2021 [Online - Online [January 2021]]
- September 2020 [Online - Online [September 2020]]
- January 2020 [Online - Online [January 2020]]
Subject dates
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September 2022
Standard Offering Enrolment opens: 17/07/2022 Semester start: 12/09/2022 Subject start: 12/09/2022 Cancellation 1: 26/09/2022 Cancellation 2: 03/10/2022 Last enrolment: 25/09/2022 Withdraw - Financial: 08/10/2022 Withdraw - Academic: 29/10/2022 Teaching census: 07/10/2022 -
January 2023
Standard Offering Enrolment opens: 13/11/2022 Semester start: 16/01/2023 Subject start: 16/01/2023 Cancellation 1: 30/01/2023 Cancellation 2: 06/02/2023 Last enrolment: 29/01/2023 Withdraw - Financial: 11/02/2023 Withdraw - Academic: 04/03/2023 Teaching census: 10/02/2023
Standard Offering | |
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Enrolment opens: | 17/07/2022 |
Semester start: | 12/09/2022 |
Subject start: | 12/09/2022 |
Cancellation 1: | 26/09/2022 |
Cancellation 2: | 03/10/2022 |
Last enrolment: | 25/09/2022 |
Withdraw - Financial: | 08/10/2022 |
Withdraw - Academic: | 29/10/2022 |
Teaching census: | 07/10/2022 |
Standard Offering | |
---|---|
Enrolment opens: | 13/11/2022 |
Semester start: | 16/01/2023 |
Subject start: | 16/01/2023 |
Cancellation 1: | 30/01/2023 |
Cancellation 2: | 06/02/2023 |
Last enrolment: | 29/01/2023 |
Withdraw - Financial: | 11/02/2023 |
Withdraw - Academic: | 04/03/2023 |
Teaching census: | 10/02/2023 |