MECH ENG 7072 - Micro-Controller Programming
North Terrace Campus - Semester 2 - 2014
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General Course Information
Course Details
Course Code MECH ENG 7072 Course Micro-Controller Programming Coordinating Unit School of Mechanical Engineering Term Semester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Incompatible MECH ENG 3032 Assumed Knowledge C programming e.g. MECH ENG 1103 Assessment assignments 30%, final exam 70% Course Staff
Course Coordinator: Associate Professor Steven Grainger
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
1 Be able to analyse the needs of mechatronic applications and design appropriate micro-controller based solutions 2 Have a good understanding of the hardware units within a modern micro-controller 3 Have a good understanding of the software tools available for the design and testing of micro-controller based applications and the associated software development process 4 Be able to interface external devices to a micro-controller 5 Understand the need to undertake lifelong learning 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) Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised. 1,2,3,4 The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner. 1,2,4 An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. 1,3 Skills of a high order in interpersonal understanding, teamwork and communication. 1 A proficiency in the appropriate use of contemporary technologies. 1,3 A commitment to continuous learning and the capacity to maintain intellectual curiosity throughout life. 5 -
Learning Resources
Required Resources
Lecture Notes provided
Recommended Resources
Qing Li, Caroline Yao, Real-Time Concepts for Embedded Systems, CMP Books, New York, 2003, ISBN 1-57820-124-1
Thomas Bräunl, Embedded Robotics, Mobile Robot Design and Applications with Embedded Systems, Springer, Berlin, 2003, ISBN 3-540-03436-6
Online Learning
Jonathan W. Valvano, Developing Embedded Software in C Using ICC11/ICC12/Metrowerks, , [last accessed: 10/01/2006] -
Learning & Teaching Activities
Learning & Teaching Modes
The course takes a flexible approach to teaching and learning with material delivered, concepts explored and skills developed using a range of techniques. Interactive lectures are used for presentation of material, exploration of concepts and discussion of directed reading. A series of diagnostic quizzes is used to establish existing knowledge and the assimilation of taught concepts.
Laboratories are centred upon project based learning with case studies used to provide hands-on experience.
Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Indicative workload is 13 hours per week
Activity Hours Lectures 24 Laboratories 24 Self study 56 Directed reading 12 Assignments 40 Learning Activities Summary
Introduction [1 week]- Definition of embedded systems
- Application examples
- Common micro-controller tasks
- Typical hardware units within a micro-controller
- Software development cycle
- Programming languages for micro-controllers (C, C++, Java)
- Target Platform: Wytec Dragon12
- Software IDE: Keil C166, Metrowerks CodeWarrior, GNU gcc
The build process, fundamentals [1 week]- Compiler, assembler, linker
- Compiler and linker options
- Keil C166 projects
- Source level debugging using a micro-controller simulator
- Debugging using a target monitor
- Macro definitions, configuration registers and stack frames
- Memory models and memory maps
- Memory type specifiers
- Object classes and storage class
Micro-controller interfacing [2 weeks]- Address, data and control busses
- Serial, parallel, DMA techniques
- Interrupts and polling
- Timing
- Digital I/O
- A/D converter
- Serial communications
- PWM unit
- Object classes and storage class
The build process, advanced concepts [2 weeks]- Sections, modules, programs
- The linker
- Interpreting the assembler listing
- Interpreting the linker map file
- Near data and far data
- Library files
- Development utilities
- Objects file formats: ELF, COFF, DWARF-1/2, S-Records, Intel HEX
- Optimisation
Interfacing to Mechatronic Devices [3 weeks]- Intelligent instrumentation
- Transducers
- Signal processing
- Motion control
- Power circuitry
Embedded control applications [3 weeks]- Servo-motor control
- Stepper motor control
- Real-time data logger (menu driven, RS-232, communications, adjustable sample rate)
Specific Course Requirements
N/A
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Assessment
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 practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
Assessment Task Task Type Due Weighting Learning Outcome Diagnostic quiz Formative 1
Assignment 1 Summative 5 15% 1,2,3 Mid semester quiz Formative 7 1,2,3 Assignment 2 Summative 11 15% 1,4,5 End semester quiz Formative 12 1,2,3,4 Examination Summative 70% 1,2,3,4 Assessment Related Requirements
N/A
Assessment Detail
Assignment 1 15%
Requires the design and implementation of software for the sensing and control of mechatronics devices. Submission of an engineering report and developed software.Assignment 2 15%
Requires the design and implementation of interface hardware and software for the sensing and control of mechatronics devices. Student demonstration and submission of hardware and developed software.Examination 70%
3hr open book examination.In addition there will be a series of formative quizzes.
Submission
Fully commented source code and associated assignment documentation must be submitted through the digital drop box of myUni. Physical reports must be submitted to the Course Submission Box. Late submissions are subject to a penalty of 10% per working day. Re-submissions are not allowed except under extenuating circumstances. Assignments will normally be returned within 2 working weeks.
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 .
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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.
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- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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