Course Title: C++ Programming Bootcamp
Part A: Course Overview
Course Title: C++ Programming Bootcamp
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
COSC2802 |
City Campus |
Undergraduate |
175H Computing Technologies |
Face-to-Face |
Sem 1 2024, Sem 2 2024 |
Flexible Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
COSC2802 |
City Campus |
Undergraduate |
175H Computing Technologies |
Face-to-Face |
UGRDFlex22 (F1B2), UGRDFlex22 (F3B2) |
COSC2802 |
City Campus |
Undergraduate |
175H Computing Technologies |
Face-to-Face |
UGRDFlex23 (F1B2), UGRDFlex23 (F3B2) |
Course Coordinator: Julie Porteous
Course Coordinator Phone: +61 3 9925 3575
Course Coordinator Email: julie.porteous@rmit.edu.au
Course Coordinator Location: 014.08.07E
Course Coordinator Availability: by appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
Recommended Prior Study
It is recommended to have satisfactorily completed the following course/s before you commence this course:
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
C++ Programming Bootcamp builds on Java Programming Bootcamp, in a bootcamp style, i.e. in a focussed mode over a period of 5 or 6 weeks. This course covers more advanced algorithms. This course serves as a pre-requisite for more specialized courses that require programming.
This course is tightly linked to C++ Programming Studio, which should be taken immediately after (i.e. within the same semester). C++ Programming Studio offers extensive opportunity to apply the skills from this course in a realistic programming project.
Objectives/Learning Outcomes/Capability Development
This course contributes to the following Program Learning Outcomes (PLOs) for the following Program(s):
- BP094P23 Bachelor of Computer Science
- BP096P23 Bachelor of Software Engineering
1. Knowledge
Apply a broad and coherent set of knowledge and skills for developing user-centric computing solutions for contemporary societal challenges.
2. 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
3. Cognitive and Technical Skills
Critically analyse and evaluate user requirements and design systems employing software development tools, techniques and emerging technologies.
6. 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.
For more information on the program learning outcomes for your program, please see the program guide.
Upon successful completion of this course, you will be able to:
- Apply comprehensive knowledge of advanced programming concepts in solving practical problems.
- Analyse and design algorithmic solutions for small to medium scale practical problems.
- Create and evaluate programming solutions for small to medium scale software systems.
- Demonstrate good software development and industry informed professional practice.
- Demonstrate skills for self-directed learning.
Overview of Learning Activities
Instructor Guided Hours (face to face): 36 hours per offering
This course will be facilitated in a bootcamp learning style, which is an intensive mode teaching approach based around workshops over a period of 5 weeks. Delivery may be face-to-face, online or a mix of both.
The content will be presented in a blended mode, with self-directed learning materials (online), and workshop sessions. You will be actively engaged in a range of learning activities such as instructor guided activities, group-based activities and consultations.
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, and through links and material specific to this course that is available through myRMIT Studies Course.
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 a provided online learning environment, which features curated interactive learning materials and a programming environment.
You will be required to have your own personal laptop (BYOD) in order to access this environment in and outside of class. You will be able to access course information and learning materials through Canvas.
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.
The assessment for this course comprises practical programming exercises that cover algorithmic development using standard control structures, fundamental and advanced concepts of programming and the creation of small to medium practical applications. Across all assessment tasks, you will be required to demonstrate your technical programming skills but also critical analysis and problem-solving skills.
Assessment Tasks
Assessment Task 1: Programming Challenge 1
Weighting: 20%
In class, invigilated, 90-minute assessment (programming exercises, using Zybooks).
This task supports CLOs: 1, 2 and 5
Assessment Task 2: Programming Challenge 2
Weighting: 30%
In class, invigilated, 90-minute assessment (programming exercises, using Zybooks).
This task supports CLOs: 1-5
Assessment Task 3: Programming Challenge 3
Weighting: 40%
In class, invigilated, 90-minute assessment (programming exercises, using Zybooks).
This task supports CLOs: 1-5
Assessment Task 4: Self-directed progress checking activities
Weighting: 10%
This task supports CLOs 1 and 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.