ELEC ENG 4107 - Autonomous Systems

North Terrace Campus - Semester 2 - 2021

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. This course assumes a sound foundation in mathematics, signal processing and automatic control. Assessments include project work, practicals, reports, presentations and a final exam.

  • General Course Information
    Course Details
    Course Code ELEC ENG 4107
    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
    Available for Study Abroad and Exchange Y
    Prerequisites ELEC ENG 2104
    Incompatible ELEC ENG 3107
    Assumed Knowledge ELEC ENG 3101, MATHS 2201 or MATHS 2106, MATHS 2202 or MATHS 2107
    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. This course assumes a sound foundation in mathematics, signal processing and automatic control. Assessments include project work, practicals, reports, presentations and a final exam.
    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 basic operating principles of sensing, sensor fusion and control to operate small unmanned aerial vehicles
    2 Explain the perception, localisation, cognition and motion control featured in autonomous systems
    3 Gain hands-on experience to perform small quadcopter motion simulation and indoor flight deployment
    4 Comprehend the fundamentals for reinforcement learning in autonomous 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

    No information currently available.

  • 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 20 Individual Formative W6 1. 2, 3
    Practical 2 20 Individual/Group Formative W10 1. 2, 3
    Assignment  10 Individual Formative W13 2. 4
    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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