ELEC ENG 3107 - Autonomous Systems

North Terrace Campus - Semester 2 - 2018

This course provides an introduction to autonomous systems including the architecture of autonomous systems, design of agents, models and knowledge representations, control of robotic manipulators, machine vision, the dynamics of wheeled, air, space and underwater robots, navigation and localisation.

  • General Course Information
    Course Details
    Course Code ELEC ENG 3107
    Course Autonomous Systems
    Coordinating Unit School of Electrical & Electronic Engineering
    Term Semester 2
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 5 hours per week (weekly 2-hour workshops and fortnightly 3-hour practicals)
    Available for Study Abroad and Exchange Y
    Assumed Knowledge ELEC ENG 1100, ELEC ENG 2100, MATHS 1011, MATHS 1012
    Course Description This course provides an introduction to autonomous systems including the architecture of autonomous systems, design of agents, models and knowledge representations, control of robotic manipulators, machine vision, the dynamics of wheeled, air, space and underwater robots, navigation and localisation.
    Course Staff

    Course Coordinator: Dr Cheng-Chew Lim

    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 Apply the terminology , and list applications, of real time systems;
    2 Demonstrate the ability to translate requirements of real-time systems into forms that can be encoded;
    3 Demonstrate the ability to work within the constraints imposed by the real-time aspects of systems;
    4 Re-cast practical design problems into real time task models for the purpose of analysis, evaluation or implementation;
    5 Evaluate the implications of design choices on real time system implementation;
    6 Explain the purpose and structure of a real time operating system;
    7 Apply simple real time functions using a real time operating system and a programming language suitable for embedded real-time systems;
    8 Analyse and schedule real time task sets on a single processor;
    9 Apply real-time methodology to multiprocessor and distributed systems.

     
    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   1.4   1.5   1.6   2.1   2.2   2.3   2.4   3.1   3.2   3.3   3.4   3.5   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)
    1-9
    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
    1-9
    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
    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
    1
  • Learning & Teaching Activities
    Learning & Teaching Modes

    No information currently available.

    Workload

    No information currently available.

    Learning Activities Summary

    No information currently available.

  • 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
    Assessment Task Weighting (%) Individual/ Group Formative/ Summative
    Due (week)*
    Hurdle criteria Learning outcomes
    Practical 1.1 10 Group Formative W4 1. 2.
    Practical 1.2 20 Group Formative W10 1. 2.
    Assignment 1 10 Individual Formative W11 3. 4.
    Assignment 2 10 Individual Formative W13 3. 4.
    In-class Quiz 10 Individual Formative W7 1. 2. 3.
    Exam 40 Individual Summative W14-15 min 40% 1. 2. 3. 4.
    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 University's Assessment for Coursework Programs Policy. The exemption is related to the Procedures clause(s): 1. a. ii    1. a. iv   
     
    This course has a hurdle requirement. Meeting the specified hurdle criteria is a requirement for passing the course.
    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 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 (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
  • 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.

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