Course Title: Programming Bootcamp 2
Part A: Course Overview
Course Title: Programming Bootcamp 2
Credit Points: 12.00
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) |
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
COSC2801 - Programming Bootcamp 1
Course Description
Programming Bootcamp 2 builds on Programming Bootcamp 1, in a bootcamp style, i.e. in a focussed mode over a period of 4 or 5 weeks. This course covers advanced algorithms and data structures. This course serves as a pre-requisite for more specialized courses that require programming.
Objectives/Learning Outcomes/Capability Development
This course contributes to Program Learning Outcomes (PLOs) for:
BP094P23 Bachelor of Computer Science
BP096P23 Bachelor of Software Engineering
Course Learning Outcomes (CLOs):
Upon successful completion of this course you should 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): 48 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 4 or 5 weeks.
The content will be presented in a blended mode, with online material supplemented with instructor guided activities and consultation sessions.
Learner Directed Hours: 72 per offering
Learner-directed hours include time spent reading and studying online materials; working through examples; and performing exercises and assignments designed by the instructors to reinforce concepts and develop practical skills across a variety of problem types.
Overview of Learning Resources
You will make extensive use of computer laboratories and relevant software provided by the University. You will be able to access course information and learning materials through MyRMIT. Lists of relevant reference texts, resources in the library and freely accessible Internet sites will be provided.
Overview of Assessment
This course has no hurdle requirements.
Assessment tasks
Assessment Task 1: (20%): Self-directed Learning and Programming Activities
Description: Daily workshop preparation activities and programming activities to be completed outside of the workshops.
This task supports CLOs: 1-5.
Assessment Task 2: (20%): Python Foundation Programming challenge.
Description: The foundational challenge focuses on the ability to understand problems and design solutions using foundational programming concepts in the new programming language.
This task supports CLOs: 1-4.
Assessment Task 3: (30%): Intermediate Programming challenge.
Description: The programming challenge focuses on the ability to understand problems and design solutions using the programming concepts and techniques presented.
This task supports CLOs: 1-4.
Assessment Task 4: (30%): Final Programming challenge.
Description: The programming challenge focuses on the ability to understand problems and design solutions using the programming concepts and techniques presented.
This task supports CLOs 1-4.