BUSN5101 Programming for Business

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Semester 2UWA (Perth)Face to face
Content
Today's businesses have an increasing need to make sense of the large quantities of structured and unstructured data that are generated. Understanding how to integrate large and complex data sets, and transform such data into meaningful insights and actions, is vital for business success. Business analysts equipped with basic programming skills will have greater awareness of the complexities of managing large data sets, the ability to converse with other technical experts (such as computer scientists), and the capacity to make meaning of the output given their business expertise.

This unit is designed for students with little to no programming experience. Foundational programming concepts (such as variables, arrays, conditional statements, loops, functions and procedures, and using libraries) will be taught and applied to business examples. Students will engage with general-purpose programming languages (such as Python) to write basic programs, integrate data sets, visualise, analyse and manage data.
Outcomes
Students are able to (1) demonstrate an understanding of basic types of algorithms and the benefits of programs for automating various tasks; (2) validate programs, recognise how to avoid common coding errors, and perform individual and team program reviews; (3) evaluate fundamental data structures and associated algorithms; (4) create and evaluate algorithms for solving business problems; and (5) evaluate basic technical documents, presentations, and group interactions, using appropriate tools.
Assessment
Indicative assessments in this unit are as follows: (1) quizzes; (2) team-based assignment; and (3) examination. Further information is available in the unit outline.

Supplementary assessment is not available in this unit.
Unit Coordinator(s)
Dr Paul Bergey
Unit rules
Prerequisites:
BUSN5002 Fundamentals of Business Analytics
Incompatibility:
CITS1401 Computational Thinking with Python
or
equivalent.
Contact hours
Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Books and other material wherever listed may be subject to change. Book lists relating to 'Preliminary reading', 'Recommended reading' and 'Textbooks' are, in most cases, available at the University Co-operative Bookshop (from early January) and appropriate administrative offices for students to consult. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.