Course Title: Programming Studio 2

Part A: Course Overview

Course Title: Programming Studio 2

Credit Points: 24.00

Flexible Terms

Course Code




Learning Mode

Teaching Period(s)


City Campus


171H School of Science


UGRDFlex21 (All)


City Campus


175H Computing Technologies


UGRDFlex22 (F2S2),

UGRDFlex22 (F4S2)


City Campus


175H Computing Technologies



Course Coordinator: Fabio Zambetta

Course Coordinator Phone: +61 (3) 99259694

Course Coordinator Email:

Course Coordinator Location: -

Course Coordinator Availability: by appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities

Required Concurrent Study

You should undertake COSC2802 - Programming Bootcamp 2 at the same time as this course as it contains areas of knowledge and skills which are implemented together in practice. 

Alternatively, you may be able to demonstrate the required skills and knowledge before you start this course. 

Contact your course coordinator if you think you may be eligible for recognition of prior learning. 

Course Description

Programming Studio 2 is an intermediate studio-based course that focuses on the further acquisition and development of technical and professional skills for computing. The studio-based approach provides an authentic problem setting where theory and practice of computer architecture are blended. In this course you will develop programming principles, skills and practices for modern software development, continuing the study of design, development and testing from previous courses. These learning outcomes will be achieved by developing a medium-sized real-world application.

Objectives/Learning Outcomes/Capability Development

This course contributes to Program Learning Outcomes (PLOs) for: BP094 Bachelor of Computer Science BP096 Bachelor of Software Engineering For more information on the program learning outcomes for your program, please see the program guide

Course Learning Outcomes (CLOs):

Upon successful completion of this course, you will be able to:

  1. Analyse and solve computing problems; design and develop suitable algorithmic solutions; implement and debug algorithmic solutions using modern skills and practices in the C++ programming language;
  2. Apply fundamentals of computer architecture , operating systems, and system deployment to the design and development of medium-sized software applications;
  3. Demonstrate the ability to communicate effectively with industry professionals and peers;
  4. Demonstrate skills for self-directed learning, reflection and evaluation of your own and your peers work to improve professional practice;
  5. Demonstrate adherence to appropriate standards and practice of Professionalism and Ethics.

Overview of Learning Activities

You will be actively engaged in a range of learning activities such as lectorials, tutorials, practicals, laboratories, seminars, project work, class discussion, individual and group activities. Delivery may be face to face, online or a mix of both. 

You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, andthrough links and material specific to this course that is available through myRMIT Studies Course. 

Working in groups, you will identify, discuss and devise solutions to practical problems using, for example, theory, research, experimental data and your group’s collective creativity.

Overview of Learning Resources

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course. 

You will make extensive use of computer laboratories and relevant software provided by the School of Computing Technologies.

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal. 

Overview of Assessment

This course has no hurdle requirements.

Assessment Tasks

Assessment Task 1: Programming Assignment 1 (Individual)
Weighting: 20%
This task supports CLOs: 2, 4, 5.

Assessment Task 2:Programming Assignment 2 (Individual)
Weighting: 30%
This task supports CLOs: 2, 4, 5.

Assessment Task 3:Programming Assignment 3 (Team)
Weighting: 50%
This task supports CLOs: 1, 3, 4, 5.

If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.