Course Title: Advanced Programming Techniques
Part A: Course Overview
Course Title: Advanced Programming Techniques
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
COSC1076 |
City Campus |
Undergraduate |
140H Computer Science & Information Technology |
Face-to-Face |
Sem 1 2006, Sem 2 2006, Sem 1 2007, Sem 2 2007, Sem 1 2008, Sem 2 2008, Sem 2 2009, Sem 1 2010, Sem 2 2010, Sem 1 2011, Sem 2 2011, Sem 1 2012, Sem 2 2012, Sem 1 2013, Sem 2 2013, Sem 1 2014, Sem 2 2014, Summer2015, Sem 2 2015, Sem 1 2016 |
COSC1076 |
City Campus |
Undergraduate |
140H Computer Science & Information Technology |
Face-to-Face or Internet |
Sem 1 2009 |
COSC1076 |
City Campus |
Undergraduate |
171H School of Science |
Face-to-Face |
Sem 2 2017, Sem 1 2018, Sem 2 2018, Sem 1 2019, Sem 2 2019, Sem 1 2020, Sem 2 2020, Sem 1 2021 |
COSC1076 |
City Campus |
Undergraduate |
175H Computing Technologies |
Face-to-Face |
Sem 1 2022, Sem 1 2023, Sem 1 2024 |
COSC2082 |
RMIT University Vietnam |
Undergraduate |
140H Computer Science & Information Technology |
Face-to-Face |
Viet2 2007, Viet3 2007, Viet2 2008, Viet3 2008, Viet1 2009, Viet2 2009, Viet3 2009, Viet1 2010, Viet2 2010, Viet3 2010, Viet1 2011, Viet2 2011, Viet3 2011, Viet1 2012, Viet2 2012, Viet3 2012, Viet1 2013, Viet2 2013, Viet3 2013 |
COSC2082 |
RMIT University Vietnam |
Undergraduate |
171H School of Science |
Face-to-Face |
Viet1 2018, Viet3 2018, Viet3 2020, Viet3 2021 |
COSC2082 |
RMIT University Vietnam |
Undergraduate |
175H Computing Technologies |
Face-to-Face |
Viet1 2022, Viet3 2022, Viet2 2023, Viet3 2023 |
COSC2136 |
Open Learning Australia |
Non Award |
171H School of Science |
Distance / Correspondence |
OUASP2UG21, OUASP4UG21 |
COSC2136 |
Open Learning Australia |
Non Award |
175H Computing Technologies |
Distance / Correspondence |
OUASP4UG23 |
COSC2207 |
City Campus |
Postgraduate |
140H Computer Science & Information Technology |
Face-to-Face |
Sem 1 2006, Sem 1 2007, Sem 2 2007, Sem 1 2008, Sem 2 2008, Sem 1 2009, Sem 2 2009, Sem 1 2010, Sem 2 2010, Sem 1 2011, Sem 2 2011, Sem 1 2012, Sem 2 2012, Sem 1 2013, Sem 2 2013, Summer2015, Sem 2 2015 |
COSC2233 |
Taylors College KL |
Undergraduate |
140H Computer Science & Information Technology |
Face-to-Face |
Offsh 3 10, Offsh 1 11 |
Flexible Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
COSC2696 |
OUA CSP |
Undergraduate |
171H School of Science |
Internet |
OUACSP2021 (All) |
Course Coordinator: Xiaodong Li
Course Coordinator Phone: -
Course Coordinator Email: xiaodong.li@rmit.edu.au
Course Coordinator Location: 14.08.14
Course Coordinator Availability: By email
Pre-requisite Courses and Assumed Knowledge and Capabilities
Enforced Pre-requisite courses
Successful completion of:
COSC1295 - Advanced Programming (Course ID 004316)
OR
COSC1073 / COSC2081 / COSC2135 / COSC2681 - Programming 1 (Course ID 004065)
OR
COSC1284 - Programming Techniques (Course ID 004301)
OR
COSC2395 - Programming 1 (Course ID 038974)
OR
COSC2801 - Programming Bootcamp 1 (Course ID 054079)
OR
COSC2799 - IT Studio 1 (Course ID 054074)
Note: it is a condition of enrolment at RMIT that you accept responsibility for ensuring that you have completed the prerequisite/s and agree to concurrently enrol in co-requisite courses before enrolling in a course.
For your information go to RMIT Course Requisites webpage.
Course Description
This course teaches programming principles, skills and practices for modern software development, continuing the study of software design and development in pre-requisite courses. Concepts in this include dynamic memory management, advanced typing and polymorphism, automated build systems, defensive programming, debugging, testing, and adherence to modern coding standards and practices. This course uses the C++ programming language for the practical implementation and practice of these concepts. This course may serve as a foundation for further studies in Computer Science and Software Engineering.
Objectives/Learning Outcomes/Capability Development
This course contributes to the following program learning outcomes in
- BP094 Bachelor of Computer Science,
- BP096 Bachelor of Software Engineering,
o BP215 Bachelor of Information Technology (Games and Graphics Programming),
- BH091 Bachelor of Engineering (Computer and Network Engineering) (Honours)/Bachelor of Computer Science,
- BH094 Bachelor of Engineering (Telecommunication Engineering)(Honours)/ Bachelor of Computer Science,
o BH107 Bachelor of Engineering (Telecommunications Engineering) (Honours)
and is an option course in several postgraduate programs:
-
PLO1: Knowledge - Apply a broad and coherent set of knowledge and skills for developing user-centric computing solutions for contemporary societal challenges.
-
PLO2: Problem Solving - Apply systematic problem solving and decision-making methodologies to identify, design and implement computing solutions to real world problems, demonstrating the ability to work independently to self-manage processes and projects.
- PLO6: Responsibility and Accountability - Demonstrate integrity, ethical conduct, sustainable and culturally inclusive professional standards, including First Nations knowledges and input in designing and implementing computing solutions.
On successful completion of this course you should be able to:
- Analyse and Solve computing problems; Design and Develop suitable algorithmic solutions using software concepts and skills both (a) introduced in this course, and (b) taught in pre-requisite courses; Implement and Code the algorithmic solutions in the C++ programming language.
- Discuss and Analyse software design and development strategies; Make and Justify choices in software design and development; Explore underpinning concepts as related to both theoretical and practical applications of software design and development using advanced programming techniques.
- Discuss, Analyse, and Use appropriate strategies to develop error-free software including static code analysis, modern debugging skills and practices, and C++ debugging tools.
- Implement small to medium software programs of varying complexity; Demonstrate and Adhere to good programming style, and modern standards and practices; Appropriately Use typical features of the C++ language include basic language constructs, abstract data types, encapsulation and polymorphism, dynamic memory management, dynamic data structures, file management, and managing large projects containing multiple source files; Adhere to the C++11/C++14/C++17 ISO language definition and features.
- Develop skills for further self-directed learning in the general context of software engineering and computer science, including decision-making about guided design of software; Adapt programming experience and language knowledge to and from other programming language contexts.
- Demonstrate and Adhere to the standards and practice of Professionalism and Ethics, such as described in the ACS Core Body of Knowledge (CBOK) for ICT Professionals.
Overview of Learning Activities
Learning activities may include:
- Pre-recorded lecture videos and preparation materials that outline the core programming concepts and skills, and discuss techniques for both developing and analysing software design and implementation. These concepts, skills, and techniques are implemented in the C++ programming language, with source provided code examples.
- Online webinars that focus on practical analysis and problem-solving exercises in C++ which build your software design and development skills. These webinars allow exploration of concepts, and give feedback opportunities on your progress and understanding.
- Tutorials and Labs focus on practical analysis and problem-solving exercises which build your software design and development skills. These tutorials and labs allow exploration of concepts, and give feedback opportunities on your progress and understanding.
- Assessed actives provides the opportunity to further develop and demonstrate your understanding of the skill and concepts taught in this course. These will be demonstrated in the C++ programming language through (a) practical programming tasks, and (b) written evaluation and analysis of code.
- Self-directed private learning and study is essential. This should include working through the content as presented in classes and other learning materials outside of allocated course-work hours, and gaining practice at solving conceptual and technical problems. It is essential to keep up to date with provided class exercises as well as doing your own broader reading on the topics covered.
Overview of Learning Resources
You may make use of computer laboratories, remote school servers, and relevant provided software. You may also provide your own computing resources and will be supported in the use of specified C++ development resources. However, the marking of assessment tasks will be conducted using School resources, thus you must ensure your code correctly compiles and runs using the School resources.
You will be able to access course information and learning materials through the RMIT Canvas learning management system.
Lists of relevant reference texts, resources in the library and freely accessible Internet sites will be provided.
Overview of Assessment
Note: This course has no hurdle requirements.
The assessment tasks are in two schedules: A and B. You will be advised at the start of the teaching period which of the two schedules apply for any given teaching period and location.
|
Schedule A Assignment 1: Programming Assignment (individual) Weight: 30% Description: The development and analysis of a computer program that implements a simple algorithm. Practice writing error-free software, testing, debugging and memory management. Learning outcomes: CLOs 1, 2, 3, 4, 6 Assignment 2: Programming Assignment (a group of 4 max) Weight: 45% Description: The development and analysis of a computer program that implements a command-line game. Practice advanced software engineering techniques and data structures. Learning outcomes: CLOs 1, 2, 3, 4, 5, 6 Assignment 3: Programming Exercise (individual) Weight: 25% Description: Programming questions are given to each student from a question bank. Duration is set to 24 hours. Learning outcomes: CLOs 1, 2, 3, 4 |
|
Schedule B Assignment 1: Programming assignment (individual) Weight: 35% Description: The development and analysis of a computer program that implements a simple algorithm. Practice writing error-free software, testing, debugging and memory management. Learning outcomes: CLOs 1, 2, 3, 4, 6 Assignment 2: Programming assignment (a group of 4 max) Weight: 40% Description: The development and analysis of a computer program that implements a command-line game. Practice advanced software engineering techniques and data structures. Learning outcomes: CLOs 1 ,2, 3, 4, 5, 6 Assignment 3: Programming Exercise (individual) Weight: 25% Description: Programming questions are given to each student from a question bank. Duration is set to 24 hours. Learning outcomes: CLOs 1, 2, 3, 4 |