DTSC71-100: Business Analytics Coding

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

Type:	Postgraduate Subject
Code:	DTSC71-100
EFTSL:	0.125
Faculty:	Bond Business School
Semesters offered:	September 2024 [Standard Offering] January 2025 [Standard Offering]
Credit:	10
Study areas:	Actuarial Science and Data Analytics
Subject fees:	Commencing in 2024: $5,410.00 Commencing in 2025: $5,520.00 Commencing in 2024: $6,060.00 Commencing in 2025: $6,340.00

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
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.
Restrictions:

Requisites:

Nil

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.

Restrictions:

Subject outlines

Subject dates

September 2024

Standard Offering
Enrolment opens:	14/07/2024
Semester start:	09/09/2024
Subject start:	09/09/2024
Last enrolment:	22/09/2024
Teaching census:	04/10/2024
Withdraw - Financial:	05/10/2024
Withdraw - Academic:	26/10/2024

January 2025

Standard Offering
Enrolment opens:	10/11/2024
Semester start:	20/01/2025
Subject start:	20/01/2025
Last enrolment:	02/02/2025
Teaching census:	14/02/2025
Withdraw - Financial:	15/02/2025
Withdraw - Academic:	08/03/2025

Standard Offering
Enrolment opens:	14/07/2024
Semester start:	09/09/2024
Subject start:	09/09/2024
Last enrolment:	22/09/2024
Teaching census:	04/10/2024
Withdraw - Financial:	05/10/2024
Withdraw - Academic:	26/10/2024

Standard Offering
Enrolment opens:	10/11/2024
Semester start:	20/01/2025
Subject start:	20/01/2025
Last enrolment:	02/02/2025
Teaching census:	14/02/2025
Withdraw - Financial:	15/02/2025
Withdraw - Academic:	08/03/2025