COMP SCI 1100OL - Introduction to Programming
Online - Quadmester 4 - 2018
General Course Information
Course Code COMP SCI 1100OL Course Introduction to Programming Coordinating Unit School of Computer Science Term Quadmester 4 Level Undergraduate Location/s Online Units 3 Contact 3 hours x 10 weeks Available for Study Abroad and Exchange Y Incompatible COMP SCI 1008, COMP SCI 1201, COMP SCI 2202, COMP SCI 2202B, COMP SCI 1104 Restrictions Offered only to Online Exchanges students Course Description This course is designed for students with no prior programming experience and is taught fully online. This course introduces the fundamental concepts of procedural programming. Topics include data types, control structures, functions, arrays, files, and the mechanics of running, testing, and debugging. The course also offers an introduction to the historical and social context of computing and an overview of computer science as a discipline. - Algorithms and problem-solving: Problem-solving strategies; the role of algorithms in the problem-solving process; implementation strategies for algorithms; debugging strategies; the concept and properties of algorithms - Fundamental programming constructs: Syntax and semantics of a higher-level language; variables, types, expressions, and assignment; simple I/O; conditional and iterative control structures; functions and parameter passing; structured decomposition - Fundamental data structures: Primitive types; arrays; records; strings and string processing - Software development methodology: Fundamental design concepts and principles; testing and debugging strategies; test-case design (black box testing and requirements testing); unit testing; programming environments - Human-computer interaction: Introduction to design issues - Social context of computing: History of computing and computers; evolution of ideas and machines; social impact of computers and the Internet; professionalism, codes of ethics, and responsible conduct; copyrights, intellectual property, and software piracy.
Course Coordinator: Professor Katrina Falkner
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesOn successful completion of this course students will be able to:
- Design algorithms to solve simple problems,
- Use those algorithms in the Processing programming environment,
- Demonstrate the ability to correct, test and debug Processing programs, and
- Explain how algorithms and Processing programs work.
The above course learning outcomes are aligned with the Engineers Australia Stage 1 Competency Standard for the Professional Engineer.
The course is designed to develop the following Elements of Competency: 1.1 1.2 1.3 2.1 2.2 2.3 3.2 3.3 3.6
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) 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 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
1,2,3 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
3,4 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
1,2,3,4 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
4 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
Required ResourcesText book: There is no text book for this course but the following books and links may be useful.
Online LearningThis course is taught exclusively online, using online discussion forum and learning environment available through the course MyUni Canvas page. Through this page, you will be able to view course videos that will help you understand the concepts in the course, take online quizzes, work through assignment work, and access all of your course content.
This course is exclusively taught online, and it will be very challenging to fully participate or perform at your best unless you regularly access the materials available in the online form. It is your responsibility to regularly check this forum for notices, and to participate in online activities.
Learning & Teaching Activities
Learning & Teaching ModesIn this course, you will be participating in a number of online learning activities. These activities are mostly self-paced in that you will be able to complete them at a time that suits you within the week - however, it is important that you complete them within the week to maintain progress within the course.
You will complete a number of online activities, including watching course videos, undertaking online quizzes, working through assignment work, and participating in online collaborative activities with your peers.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.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, including a mixture of online activity and independent study time.
Learning Activities SummaryThis course consists of the following key topics:
- Topic 1: Introduction to Processing and the on-line environment
- Topic 2: In this topic you will learn the fundamentals of programming, including key concepts such as variables, constants, data types, iteration, selection, functions, problem solving skills and algorithm development. You will learn how to create and modify images to demonstrate your programming skills.
- Topic 3: In this final topic, you will learn more advanced programming concepts, such as the use of more complex data structures, testing and software development strategies, and gain experience in the design and development of more complex algorithms. We will explore a more complex interactive animation project.
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 must maintain academic standards.
Assessment SummaryThis course is assessed with a combination of examination and continuous assessment work.
Task Weighting Individual Assignments 15% Collaborative Assignments 16% Final Project 20% Weekly Quizzes 9% Final written examination 40%
Assessment Related RequirementsYou are required to achieve at least the minimum standard for the examination for this course, at least 40% of the available marks for the final written examination, as well as a grade of 50% overall to pass the course.
Assessment DetailPractical Assignments: from Week 2, you are required to complete regular practical assignment work, some of which will be undertaken collaboratively and some individually, through which you will be assessed on the satisfactory completion of a series of practical questions. The assessment of this work will include design, functional implementation, testing and your ability to explain and analyse your work. Where you are producing code you will be expected to submit a PDE file on MyUni.
Final Project: during the second half of the course you will be required to complete your final project for the course, involving the creation of your own significant programming project. Sample topics will be provided to you, however, you are will be able to select your own topic based on approval by your lecturers. This assignment will be assessed on your design, documentation, testing, functional implementation and presentation, and will be assessed on both your work in developing the project, and the final submitted entity.
Quizzes: Starting from the latter half of week 1 there will be quizzes on the MyUni system that you take to revise the videos and content for that week.
Final Examination: your final examination is your main assessment component, combining assessment of practical skills (development of algorithms, code development, testing and analysis, etc) and theoretical skills (understanding of concepts, analysis of concepts, the ability to compare and contrast, etc). Frequent revision of the course content, participation in the course activities, and successful completion of the assessment activities throughout the semester will be a crucial step towards the successful completion of this examination.
SubmissionAll assessment work will be submitted through Canvas.
Failure to submit an assessment item on time or by the agreed extension deadline will result in penalties. For each day or part-day that a programming assignment is late, the mark awarded will be reduced by 25%.
Any request for an extension of time for the submission of an assessment item should be made well before the due date to the Course Coordinator. Normally, extensions will only be granted for a maximum of two weeks from the original assignment submission date. Extensions will only be granted in cases of genuine extenuating circumstances and evidence, such as a medical certificate, must be provided.
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.
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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- Academic Support with writing and speaking skills
- Student Life Counselling Support - Personal counselling for issues affecting study
- International Student Support
- AUU Student Care - Advocacy, confidential counselling, welfare support and advice
- Students with a Disability - Alternative academic arrangements
- Reasonable Adjustments to Teaching & Assessment for Students with a Disability Policy
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangement Policy
- Academic Honesty Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Elder Conservatorium of Music Noise Management Plan
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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