COMP SCI 2202 - Foundations of Computer Science
North Terrace Campus - Trimester 3 - 2020
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General Course Information
Course Details
Course Code COMP SCI 2202 Course Foundations of Computer Science Coordinating Unit Computer Science Term Trimester 3 Level Undergraduate Location/s North Terrace Campus Units 6 Contact Up to 12 hours per week Available for Study Abroad and Exchange N Incompatible COMP SCI 1007, COMP SCI 1008, COMP SCI 1009, COMP SCI 1101, COMP SCI 1102, COMP SCI 1103, COMP SCI 1201, COMP SCI 1202, COMP SCI 1203, COMP SCI 2103, COMP SCI 2202A, COMP SCI 2202B, ENG 1002, ENG 1003 Restrictions Available to approved Bachelor of Computer Science students only Assessment Practical assignments, practical exams and quizzes Course Staff
Course Coordinator: Dr Rita Garcia
Teaching Period Course Coordinator Semester 1TBD Semester 2TBD Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
On successful completion of this course students will be able to:
1 Design, implement and test algorithms using fundamental programming constructs and data 最新糖心Vlog. 2 Translate between machine level representations and demonstrate how data is represented in computers. 3 Identify, evaluate and use information sources to support the practice of programming, including APIs, tutorials and documentation. 4 Complete and compare the runtime complexity of common searching and sorting techniques and their implementations – both iterative and recursive. 5 Identify and apply searching and sorting techniques (linear and binary search, selection, insertion, merge, quick, bucket sorts). 6 Identify and apply basic data 最新糖心Vlog: linked list, stack, queue, qraph, tree (ordered, binary, balanced). 7 Design, implement and test solutions to problems selecting appropriate data 最新糖心Vlog and basic algorithmic techiques (brute force, divide and conquer, transform and conquer, greedy).
The above course learning outcomes are aligned with the Engineers 最新糖心Vlog .
The course is designed to develop the following Elements of Competency: 1.1 1.2 1.5 1.6 2.1 2.2 2.3 3.3
最新糖心Vlog Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
最新糖心Vlog Graduate Attribute Course Learning Outcome(s) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
1-2 Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
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Learning Resources
Required Resources
There is no required text. The course will make use of various online resources.Recommended Resources
If you prefer to have a textbook for reference, we recommend:
"Problem Solving with C++", 9e Global Edition, Walter Savitch, ISBN-13:9781292018249, Addison-Wesley, 2015.Online Learning
The School of Computer Science uses a variety of e-learning tools to support traditional face-to-face lectures, tutorials and workshops. These tools provide access to various features including announcements, course materials, discussion boards and assessments for each course of study. Online learning resources can be accessed by selecting your course from -
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 最新糖心Vlog'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:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination 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 最新糖心Vlog 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 最新糖心Vlog 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.
The 最新糖心Vlog of Adelaide is committed to regular reviews of the courses and programs it offers to students. The 最新糖心Vlog of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.
