Students
COMP6010 – Fundamentals of Computer Science
2022 – Session 1, In person-scheduled-weekday, North Ryde
General Information
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| Unit convenor and teaching staff |
Unit convenor and teaching staff
Convenor, Lecturer
Gaurav Gupta
Contact via forums (or email for issue specific to you)
Lecturer
Yan Wang
Tutor
Shreyas Kumar Singh
|
|---|---|
| Credit points |
Credit points
10
|
| Prerequisites |
Prerequisites
|
| Corequisites |
Corequisites
|
| Co-badged status |
Co-badged status
|
| Unit description |
Unit description
This unit provides a study of algorithms, data structures and programming techniques. The topics covered include: trees; graphs and heaps; advanced sorting techniques; elements of storage management; and complexity. The presentation emphasises the role of data abstraction and correctness proofs.
This unit provides a foundation-level study of programming. The topics covered include programming environment and the process of program execution, variables, operators, boolean logic, control structures including conditions and loops, functions, storage of collection of items and performing operations on the same, and file management. |
Important Academic Dates
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
Learning Outcomes
On successful completion of this unit, you will be able to:
- ULO1: Apply enhanced problem solving skills to develop algorithms
- ULO2: Implement programs from algorithms, showing an understanding of control flow.
- ULO3: Adhere to standard software development skills such as test-driven development and debugging
- ULO4: Understand and apply important foundation-level programming concepts such as variables, operators, boolean logic, control structures, functions and collections
General Assessment Information
Note that the second practical exam is a hurdle and you must at least 50% (12.5 out of 25) to clear this hurdle. You will get two attempts. One in week 12 practical and the second in week 13 practical. The best of the two attempts will count towards your final mark.
Late submissions will not be accepted without an approved Special Consideration request. Assessments submitted after the due date will receive a mark of zero.
Assessment Tasks
| Name | Weighting | Hurdle | Due |
|---|---|---|---|
| Assignment 1 | 5% | No | 5pm, Sunday 27th March |
| Assignment 2 | 15% | No | 5pm, Sunday 3rd June |
| Practical Exam 1 | 15% | No | Week 8 Practical (Week starting 25th April) |
| Practical Exam 2 | 25% | Yes | Week 12, 13 Practicals |
| Weekly submissions | 0% | No | Weekly |
| Final Examination | 40% | No | Final exam period |
Assignment 1
Assessment Type 1: Programming Task
Indicative Time on Task 2: 5 hours
Due: 5pm, Sunday 27th March
Weighting: 5%
Programming assignment that requires students to solve a real-life problem based on the contents covered in the first half of the semester
On successful completion you will be able to:
- Apply enhanced problem solving skills to develop algorithms
- Implement programs from algorithms, showing an understanding of control flow.
- Adhere to standard software development skills such as test-driven development and debugging
- Understand and apply important foundation-level programming concepts such as variables, operators, boolean logic, control structures, functions and collections
Assignment 2
Assessment Type 1: Programming Task
Indicative Time on Task 2: 15 hours
Due: 5pm, Sunday 3rd June
Weighting: 15%
Programming assignment that requires students to solve a real-life problem based on the contents covered during the semester
On successful completion you will be able to:
- Apply enhanced problem solving skills to develop algorithms
- Implement programs from algorithms, showing an understanding of control flow.
- Adhere to standard software development skills such as test-driven development and debugging
- Understand and apply important foundation-level programming concepts such as variables, operators, boolean logic, control structures, functions and collections
Practical Exam 1
Assessment Type 1: Programming Task
Indicative Time on Task 2: 10 hours
Due: Week 8 Practical (Week starting 25th April)
Weighting: 15%
In-class practical exam assessing contents covered during first half of semester
On successful completion you will be able to:
- Apply enhanced problem solving skills to develop algorithms
- Implement programs from algorithms, showing an understanding of control flow.
- Adhere to standard software development skills such as test-driven development and debugging
- Understand and apply important foundation-level programming concepts such as variables, operators, boolean logic, control structures, functions and collections
Practical Exam 2
Assessment Type 1: Programming Task
Indicative Time on Task 2: 15 hours
Due: Week 12, 13 Practicals
Weighting: 25%
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)
In-class practical exam assessing contents covered during the entire semester
On successful completion you will be able to:
- Apply enhanced problem solving skills to develop algorithms
- Implement programs from algorithms, showing an understanding of control flow.
- Adhere to standard software development skills such as test-driven development and debugging
- Understand and apply important foundation-level programming concepts such as variables, operators, boolean logic, control structures, functions and collections
Weekly submissions
Assessment Type 1: Programming Task
Indicative Time on Task 2: 15 hours
Due: Weekly
Weighting: 0%
Each week, students are required to submit a piece of code containing solutions to a given set of problems
On successful completion you will be able to:
- Apply enhanced problem solving skills to develop algorithms
- Implement programs from algorithms, showing an understanding of control flow.
- Adhere to standard software development skills such as test-driven development and debugging
- Understand and apply important foundation-level programming concepts such as variables, operators, boolean logic, control structures, functions and collections
Final Examination
Assessment Type 1: Examination
Indicative Time on Task 2: 12 hours
Due: Final exam period
Weighting: 40%
2-hour written exam
On successful completion you will be able to:
- Apply enhanced problem solving skills to develop algorithms
- Implement programs from algorithms, showing an understanding of control flow.
- Adhere to standard software development skills such as test-driven development and debugging
- Understand and apply important foundation-level programming concepts such as variables, operators, boolean logic, control structures, functions and collections
1 If you need help with your assignment, please contact:
- the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
- the Writing Centre for academic skills support.
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Delivery and Resources
Lecture notes: https://softwaretechnologymq.github.io/
Python (version 3.10.2 at the time of writing this unit guide): https://python.org/
Visual Studio Code: https://code.visualstudio.com/
Unit Schedule
NOTE: Practical classes begin in week 2. The schedule is for lectures.
- Week 1 - python basics
- Week 2 - number systems
- Week 3 - boolean logic
- Week 4 - conditions
- Week 5 - loops
- Week 6 - functions 1
- Week 7 - problem-solving/case study using topics from Weeks 1 to 6
TWO-WEEK TEACHING BREAK
- Week 8 - collections* 1
- Week 9 - collections* 2
- Week 10 - classes
- Week 11 - file system, i/o (raw csv i/o)
- Week 12 - problem-solving/case study using topics from Weeks 1 to 11
- Week 13 - revision
* one or more from lists, dictionaries, tuples, sets
Policies and Procedures
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
- Academic Appeals Policy
- Academic Integrity Policy
- Academic Progression Policy
- Assessment Policy
- Fitness to Practice Procedure
- Assessment Procedure
- Complaints Resolution Procedure for Students and Members of the Public
- Special Consideration Policy
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Student Code of Conduct
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
Academic Integrity
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Student Support
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
The Writing Centre
The Writing Centre provides resources to develop your English language proficiency, academic writing, and communication skills.
- Workshops
- Chat with a WriteWISE peer writing leader
- Access StudyWISE
- Upload an assignment to Studiosity
- Complete the Academic Integrity Module
The Library provides online and face to face support to help you find and use relevant information resources.
Student Services and Support
Macquarie University offers a range of Student Support Services including:
- IT Support
- Accessibility and disability support with study
- Mental health support
- Safety support to respond to bullying, harassment, sexual harassment and sexual assault
- Social support including information about finances, tenancy and legal issues
Student Enquiries
Got a question? Ask us via AskMQ, or contact Service Connect.
IT Help
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Changes from Previous Offering
Environment changed from Java to Python
Changes since First Published
| Date | Description |
|---|---|
| 01/03/2022 | shreyas added to the staff list. assignment 1 due date corrected. |
Unit information based on version 2022.03 of the Handbook