COMP SCI 2103 - Algorithm Design & Data Structures

North Terrace Campus - Semester 2 - 2019

The course is structured to take students from an introductory knowledge of C++ to a higher level, as well as addressing some key areas of computer programming and algorithm design. Topics include: abstract data types, class hierarchies, inheritance, friends, polymorphism and type systems; OO design principles, testing and software reuse; algorithmic strategies and introductory complexity analysis; recursion, linked lists, stacks, queues and trees.

Open All

Course Details

Course Code	COMP SCI 2103
Course	Algorithm Design & Data Structures
Coordinating Unit	Computer Science
Term	Semester 2
Level	Undergraduate
Location/s	North Terrace Campus
Units	3
Contact	Up to 6 hours per week
Available for Study Abroad and Exchange	Y
Prerequisites	COMP SCI 1009, COMP SCI 1102 or COMP SCI 1202
Incompatible	COMP SCI 1103, COMP SCI 1203, COMP SCI 2004, COMP SCI 2202, COMP SCI 2202B
Assessment	Written exam and/or assignments

Course Staff

Course Coordinator: Dr Cheryl Pope

Course Timetable

The full timetable of all activities for this course can be accessed from .

Course Learning Outcomes

On successful completion of this course students will be able to:

1	Program in C/C++ in the OO paradigm,
2	Manage memory usage in C/C++ programs,
3	Explain fundamental computing algorithms,
4	Analyse algorithms and identify key algorithmic strategies,
5	Demonstrate familiarity with fundamental software engineering practices,
6	Demonstrate knowledge of programming language design issues,
7	Demonstrate professional writing skills at an introductory level.
8	Demonstrate knowledge of ethical concepts in the context of software production.
9	Work competently in a group to learn software concepts.
10	Use abstract data types to help solve programming problems

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 1.3 1.4 1.5 1.6 2.1 2.2 3.1 3.2 3.6

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)	1-6,10
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	1-2,4,10
Teamwork and communication skills developed from, with, and via the SGDE honed through assessment and practice throughout the program of studies encouraged and valued in all aspects of learning	7,9
Career and leadership readiness technology savvy professional and, where relevant, fully accredited forward thinking and well informed tested and validated by work based experiences	1, 5, 6
Intercultural and ethical competency adept at operating in other cultures comfortable with different nationalities and social contexts able to determine and contribute to desirable social outcomes demonstrated by study abroad or with an understanding of indigenous knowledges	8
Self-awareness and emotional intelligence a capacity for self-reflection and a willingness to engage in self-appraisal open to objective and constructive feedback from supervisors and peers able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate	9

Learning Resources

Required Resources

The recommended reference text for this course is: Problem Solving with C++, Walter Savitch

Recommended Resources

Students who have Java as a programming language and are entering this course are strongly encouraged to make use of the simple on-line resource that will be made available on the course website, closer to the start of term.

Online Learning

In this course, we use the myUni online Learning Management System. The link for the course is at
Learning & Teaching Activities

Learning & Teaching Modes

The course has three contact activities: lectures, tutorials and practicals. Each of these activities will provide you with the resources necessary to understand the course material.

Lectures will present information and provide an opportunity for the introduction and discussion of programming, algorithmic and other material. You should expect to attend all of these and participate in small group work.

Workshops will provide a small group discussion forum where you and your peers will practice applying knowledge to problem solving. The goal of workshops is to give you necessary practice in formulating answers to key questions.

Practicals are an in-lab activity session where you will work on the weekly course assignments in C++, while receiving feedback from practical markers who are stationed around the lab area. You will need to explain your work to the marker to ensure that you have understood everything that we're trying to pass on.

Workload

The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

You are expected to allocate 4-5 hours per week for lectures (including reviewing) approximately 5 hours per week for practicals (as a minimum) and 1 hour per fortnight for workshops. On average, you should require no more than 10 hours per week for this course.

Learning Activities Summary

The weekly pattern is three one-hour lectures and a two-hour practical session, with a tutorial every fortnight. The lecture topics and assignment descriptions, including a schedule, are all available on the course website.

Specific Course Requirements

There are no specific course requirements.

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

Assessment Task	Weighting (%)	Individual/ Group	Formative/ Summative	Due (week)*	Hurdle criteria	Learning outcomes
Written Examination	50	Individual	Summative	Week 13	Min 40%	1. 2. 3. 4. 5. 6. 8. 10.
Practical Examinations	20	Individual	Summative	Week 6,12		1. 4. 10.
Practical Assignments	25	Individual	Formative	Weeks 2-12		1. 2. 3. 4. 5. 6. 7. 9. 10.
Workshop	5	Group	Formative	Weeks 2-12		1. 2. 3. 4. 5. 6. 7. 9. 10.
Total	100

* The specific due date for each assessment task will be available on MyUni.

This assessment breakdown is registered as an exemption to the 最新糖心Vlog's . The exemption is related to the Procedures clause(s):

This course has a hurdle requirement. Meeting the specified hurdle criteria is a requirement for passing the course.

Assessment Related Requirements

Hurdle Requirement: If your overall mark for the course is greater than 44 F but, your mark for the final written exam is less than 40%, your overall mark for the course will be reduced to 44 F.

Assessment Detail

No information currently available.

Submission

All programming submissions will be made through the school's web submission gateway, available on the school web site (https://cs.adelaide.edu.au/services/websubmission). Other assignments may be submitted through other electronic means that will be clearly identified on the assignment rubric.

Both electronic systems provide cover sheets for submitted work. No physical submissions of work will be accepted unless specifically requested by the lecturer.

The School of Computer Science observes a strict lateness policy. the mark for late submissions will be capped, based on how many days late it is:
1 day late – mark capped at 75%
2 days late – mark capped at 50%
3 days late – mark capped at 25%
more than 3 days late – no marks available.
Extensions may be requested in advance for medical or compassionate reasons but (1) all requests must be accompanied by documentation, (2) extensions awarded will be in proportion to the time lost that is supported by documentation, (3) extensions are almost never granted on the final day unless the issue is both severe and unforeseen, and (4) extensions are never granted because you have been busy, have managed your time poorly or are overloaded in other courses.

Programming marks will be returned to you within 10 working days. If your work is considered to not be a sufficient attempt, you may be asked to resubmit the work. If we can identify that you are trending towards overall insufficient progress (and at risk of triggering the minimum performance threshold) then we may contact you to make you explicitly aware of this risk, however, you should be tracking your own progress and making your best attempt at every piece of work, rather than aiming to scrape by.

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 .

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.
Student Support
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
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.

Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator

最新糖心Vlog