COMP SCI 7210MELB - Foundations of Computer Science A
Melbourne Campus - Semester 1 - 2024
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General Course Information
Course Details
Course Code COMP SCI 7210MELB Course Foundations of Computer Science A Coordinating Unit Computer Science Term Semester 1 Level Postgraduate Coursework Location/s Melbourne Campus Units 3 Contact Up to 6 hours per week Available for Study Abroad and Exchange N Incompatible COMP SCI 7202, COMP SCI 7208, COMP SCI 7103 Restrictions Available only to 成人大片 College Melbourne Campus students Assessment Assignments Course Staff
Course Coordinator: Matthew Brennan
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
Upon completion of this course/subject, students will be able to:
1 Interpret and decompose problems in computational domains. 2 Justify and demonstrate an understanding of programming fundamentals. 3 Apply programming fundamental knowledge to practical problems. 4 Use the Python programming language to construct programs to solve real-world problems. 5 Independently find and interpret discipline-related documentation. 6 Explain the benefits of object-oriented design and understand when it is an appropriate methodology to use. 7 Design object-oriented solutions for small systems involving multiple objects. 8 Translate real-world data to computer representation using different data structures. University Graduate Attributes
No information currently available.
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Learning Resources
Recommended Resources
Zhang, Y., (2015), An Introduction to Python and Computer Programming,(1st ed. Lecture Notes in Engineering 353), Springer, London.
Lee, K., & Mackie, I., (2014), Python Programming Fundamentals (2nd ed. Undergraduate Topics in Computer Science), Springer, London.
Matthes, Eric. Python crash course: a hands-on, project-based introduction to programming.
Phillips, D. (2015). Python 3 object-oriented programming. Packt Publishing Ltd.
Baka, B. (2017). Python Data Structures and Algorithms. Packt Publishing Ltd.
Lee, K. D., Lee, K. D., & Steve Hubbard, S. H. (2015). Data Structures and Algorithms with Python. Springer.
Textbooks are available to students as e-books through the Library.Online Learning
All materials are available from MyUni and it is possible to work through most of the course activities on-site. -
Learning & Teaching Activities
Learning & Teaching Modes
No information currently available.
Workload
No information currently available.
Learning Activities Summary
No information currently available.
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Assessment
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
No information currently available.
Assessment Detail
No information currently available.
Submission
No information currently available.
Course Grading
Grades for your performance in this course will be awarded in accordance with the following scheme:
GS8 (Coursework Grade Scheme) Grade Description CN Continuing FNS Fail No Submission NFE No Formal Examination F Fail NGP Non Graded Pass P Pass C Credit D Distinction HD High Distinction RP Result Pending Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through .
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Student Feedback
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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Student Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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Fraud Awareness
Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.
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