COMP SCI 1100OL - Introduction to Programming

Online - Quadmester 4 - 2018

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.

  • General Course Information
    Course Details
    Course Code COMP SCI 1100OL
    Course Introduction to Programming
    Coordinating Unit 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
    Assessment Written exam, assignments
    Course Staff

    Course Coordinator: Professor Katrina Falkner

    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course students will be able to:

    1. Design algorithms to solve simple problems,
    2. Use those algorithms in the Processing programming environment,
    3. Demonstrate the ability to correct, test and debug Processing programs, and
    4. 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)
    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
    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
    Career and leadership readiness
    • technology savvy
    • professional and, where relevant, fully accredited
    • forward thinking and well informed
    • tested and validated by work based experiences
    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
    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
  • Learning Resources
    Required Resources
    Text book: There is no text book for this course but the following books and links may be useful.

    • Video tutorials from the Processing website.
    • The Processing reference
    • Processing: A Programming Handbook for Visual Designers, Second Edition Casey Reas and Ben Fry, 2014, The MIT Press.
    • (The first edition is also fine)
    There is no requirement to purchase a book. The on-line resources are excellent.
    Online Learning
    This 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 Modes
    In 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 Summary
    This 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.
  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    This 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 Requirements
    You 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 Detail
    Practical 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.
    All assessment work will be submitted through Canvas.

    Late Penalties
    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.
    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 Access Adelaide.

  • 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 ( 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
  • 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’s disciplinary procedures.

The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.