成人大片

ELEC ENG 2104 - Digital Signal Processing

North Terrace Campus - Semester 2 - 2022

This course provides an introduction to processing of discrete-time (DT) signals. Fundamental principles of DT systems and signals, in both time and Fourier domains, are presented. These are followed by modern applications of digital signal processing in electronic, computer and information engineering. Throughout the course, the focus is on developing techniques and algorithms for solving discrete-time signal processing problems.

  • General Course Information
    Course Details
    Course Code ELEC ENG 2104
    Course Digital Signal Processing
    Coordinating Unit School of Electrical & Electronic Engineering
    Term Semester 2
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 4 hours per week
    Available for Study Abroad and Exchange N
    Prerequisites MATHS 1012
    Incompatible ELEC ENG 3033
    Assumed Knowledge ELEC ENG 1100 or ELEC ENG 1101
    Assessment Tests, quizzes, tutorial, assignments.
    Course Staff

    Course Coordinator: Associate Professor Brian Ng

    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course students will be able to:
    1 Describe the characteristics and transformations of discrete time signals mathematically;
    2 Apply techniques in time and transform domains to the analysis and design of discrete-time systems;
    3 Estimate the spectra of deterministic and stochastic signals, and appropriately interpret the information contained therein;
    4 Demonstrate the ability to manipulate signals using analytical techniques and write algorithms to implement discrete-time systems;
    5 Design digital filters and apply them to real-world applications of signal and information processing;
      
    The above course learning outcomes are aligned with the Engineers Australia .
    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)

    Attribute 1: Deep discipline knowledge and intellectual breadth

    Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.

    1-6

    Attribute 2: Creative and critical thinking, and problem solving

    Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.

    1-6

    Attribute 3: Teamwork and communication skills

    Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.

    3,4,6

    Attribute 4: Professionalism and leadership readiness

    Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.

    4,6

    Attribute 8: Self-awareness and emotional intelligence

    Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.

    6
  • Learning Resources
    Required Resources
    Refer to MyUni.
    Recommended Resources
    Refer to MyUni.
    Online Learning
    This course uses MyUni exclusively for providing electronic resources, such as lecture notes, assignment papers, sample solutions, discussion boards, strongly recommended that the students make intensive use of these resources for this course.

    Link to MyUni login page:
  • Learning & Teaching Activities
    Learning & Teaching Modes
    This course uses a conventional lecture/tutorial delivery of material. Students are expected to spend time outside of these to attain the learning outcomes.
    Workload

    The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

    There will be up to 36 contact hours throughout the course. Students are expected to spend approximately 120 hours of private study and to prepare for assessments.
    Learning Activities Summary
    Refer to MyUni.
    Specific Course Requirements
    There are no specific course requirements.
  • 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
    Tutorials 5 Group Formative 2,4,6,8,10,12 1-5
    Tests 20 Individual Summative 5,10 1-5
    Assignments 30 Individual Summative 6,9,12 1-5
    Exam 45 Individual Summative 1-5
    Total 100
      
    This assessment breakdown complies with the University's Assessment for Coursework Programs Policy.
    Assessment Related Requirements
    Refer to MyUni.
    Assessment Detail
    Refer to MyUni.
    Submission
    Refer to MyUni.
    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 .

  • 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.

    Changes in response to SELT feedback are listed on MyUni.
  • 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鈥檚 disciplinary procedures.

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