COMP SCI 1102 - Object Oriented Programming
North Terrace Campus - Semester 2 - 2014
General Course Information
Course Code COMP SCI 1102 Course Object Oriented Programming Coordinating Unit School of Computer Science Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 6 hours per week Prerequisites SACE Stage 2 Mathematical Studies or equivalent Incompatible COMP SCI 1009, COMP SCI 1202 Assumed Knowledge COMP SCI 1101 Restrictions Available to B Eng (Software Engineering) and other non-Engineering degree students only Course Description This course is designed as an entry level programming course for students who have prior programming experience. This course introduces the concepts of object-oriented programming to students with a background in the procedural paradigm.
Note: Students who do not have prior programming experience or who are not confident in their programming ability should complete COMP SCI 1101 Introduction to Programming prior to undertaking this course.
The course begins with a brief review of control structures and data types with emphasis on structured data types and array processing. It then moves on to introduce the object-oriented programming paradigm, focusing on the definition and use of classes along with the fundamentals of object-oriented design. Other topics include an overview of programming language principles, simple analysis of algorithms, basic searching and sorting techniques, and an introduction to software engineering issues.
- Brief review of control structures, functions, and primitive data types
- Object-oriented programming: Object-oriented design; encapsulation and information-hiding; separation of behavior and implementation; classes, subclasses, and inheritance; polymorphism; class hierarchies
- Fundamental computing algorithms: simple searching and sorting algorithms (linear and binary search, selection and insertion sort)
- Fundamentals of event-driven programming
- Machine level representation of data: Bits, bytes, and words; numeric data representation and number bases; representation of character data
- Introduction to computer graphics: Using a simple graphics API
- Memory management
- Overview of programming languages: History of programming languages; brief survey of programming paradigms
- Introduction to language translation: Comparison of interpreters and compilers; language translation phases; machine-dependent and machine-independent aspects of translation
Course Coordinator: Dr Alfred Fred Brown
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning Outcomes
- Design object oriented solutions for small systems involving multiple objects.
- Implement solutions in C++.
- Test and debug C++ implementations.
- Effectively use version control for incremental development.
- Explain the benefits of object oriented design and the types of systems in which it is an appropriate methodology.
- Identify the relative merits of different algorithmic designs.
- Apply good programming style and understand the impact of style on developing and maintaining programs. Be able to justify programming style choices.
- Independently find and interpret discipline related documentation.
- Manipulate binary patterns and understand the use of binary to represent numbers.
- Explain the steps in creating an executable program for a computer, including the intermediate representations and their purpose.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised. 1,2,3,4,5,6,7,8,9,10 The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner. 8 An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. 1,2,5,6,7 Skills of a high order in interpersonal understanding, teamwork and communication. 1,2,4,7 A proficiency in the appropriate use of contemporary technologies. 1,2,3,4,8 A commitment to continuous learning and the capacity to maintain intellectual curiosity throughout life. 8 A commitment to the highest standards of professional endeavour and the ability to take a leadership role in the community. 5,6 An awareness of ethical, social and cultural issues within a global context and their importance in the exercise of professional skills and responsibilities. 1,5,7
Recommended ResourcesWalter Savitch, "Problem Solving with C++", 8th Edition, ISBN-10: 0132162733, ISBN-13: 9780132162739, Addison-Wesley, 2012.
Links to the online learning environment are available from http://cs.adelaide.edu.au/users/first/oop/
Links to all course materials, assignment descriptions, announcements, etc. are available from the online learning environment. It is your responsibility to regularly check for notices and to participate in online activities. This course does not use myuni.
Learning & Teaching Activities
Learning & Teaching Modes
This course has four contact activities: lectures, workshops, practicals and tutorials/small group discovery. Each of these activities is used to support and build on each other, they do not repeat material.
Lectures will be used primarily for discussion of common problems identified in other activities, theory and the rationale for programming design and implementation concepts. The lectures aim to be interactive and involve whole class activities.
Workshops will focus on exploration of computer science tools and concepts. The workshops are hands on collaborative sessions with groups of students sharing computers and working towards solutions to the presented problems. Workshop tutors are there to guide you in your exploration, but students are expected to attempt to find information and solutions, with the tutor providing guidance if difficulties arise and to lead the class discussions.
Tutorials will be the main activity where discussions will strengthen your design, programming style and testing skills. These sessions will focus on collaboratively reviewing preliminary designs and identifying strengths and weaknesses in a small group environment. These designs will form the basis of the practical work. Tutorials also incorporate small group discovery projects and provide another forum where you can ask questions.
Practical Sessions will focus on encoding in C++ solutions to problems. These sessions are primarily aimed at addressing problems or questions, giving feedback and marking off work. Most of your programming implementation time will be outside of these sessions, and you should come to these sessions with your work mostly completed. Practical sessions will also be used for practical examinations
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.Students are expected to spend 10-12 hours per three unit course. Expectations of time devoted to different activities each week is identified on the course website
Learning Activities Summary
Section 1: Review of basic programming structures, introduction to tools
Section 2: Data representation and memory management, testing and debugging, assessing security of code
Section 3: Object Oriented design and software engineering
Section 4: HCI, Graphics, Ethics of interface design
A more detailed list of activities is available on the course website.
Small Group Discovery ExperienceThe Small Group Discovery Groups will investigate the issues around a particular theme, for example "The Ethics of Artificial Intelligence”. The work will be in groups and be guided by the University’s
Research Skill Development Framework over 5 sessions.
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 SummaryComponent 1: Practical Assignments – 20%
Component 2: Tutorials – 5%
Component 3: Small Group Discovery – 5%
Component 4: Workshops – 5%
Component 5: Online Quizzes – 5%
Component 6: Final Written Exam – 60%
Assessment Related RequirementsIf 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.
Practical assignments will need to be completed (or nearly completed) before your practical session. Your work will be assessed during your session based on design (you will need to justify any variations from your design developed during tutorials), implementation style, your testing suite and your ability to answer any questions from the practical supervisor.
During practical examinations you will be required to complete practical designs and solutions under examination conditions.
Tutorials will assess design skills. The main aim of tutorials is to be formative, i.e. to help you develop your skills, so the assessment in this component will be based on both your participation and your consistent application of the skills you develop (i.e. once you have identified a way of improving your design and style, you are expected to apply it).
Small Group Discovery projects will be assessed as a group based on a final report.
Workshops will be assessed based on your participation and your contribution to the group.
The final examination will assess all of the skills developed during the course and your ability to apply them as an individual
SubmissionPracticals must be assessed during your scheduled session and your submissions must be under version control. If you are unable to attend a session due to medical or compassionate circumstances, you may be permitted to average your mark over the remaining components.
You must submit a request to the course coordinator no later than 5 days after the missed session, otherwise a 0 will be recorded for the activity. In your request you must attach supporting documentation – a medical certificate and/or a letter from the student counseling service. Work requirements are not considered grounds for missing assessments. If you are working, please make sure you are available for all activities.
Tutorials, Small Group Reports and Online Quizzes must be submitted by the due dates on the course website to receive marks. Late submissions will not receive marks. The Small Group Reports must be under version control.
Submission links are available on the course website.
The final examination will be scheduled by the examinations office. You will be able to access your exam schedule through Access Adelaide. You must be available during the supplementary examination period (check University dates). If you are offered a supplementary and are unable to attend for any reason, there is no further opportunity for supplementary work.
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 Access Adelaide.
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