CHEM ENG 1011 - Introduction to Process Modelling
North Terrace Campus - Semester 2 - 2017
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General Course Information
Course Details
Course Code CHEM ENG 1011 Course Introduction to Process Modelling Coordinating Unit School of Chemical Eng and Advanced Materials(Ina) 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 Y Incompatible CHEM ENG 1008 Assumed Knowledge CHEM ENG 1007 Assessment Final exam (60 %), three assignments (30%), mid-semester test (10%) Course Staff
Course Coordinator: Dr Jason Connor
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
On successful completion of this course students will be able to:
1 Understand how to solve chemical engineering problems using computers; 2 Gain specific knowledge of Excel and MATLAB software packages; 3 Perform statistical analysis of engineering data using Excel and MATLAB; 4 Apply least squared fitting and learn how to develop engineering models; 5 Use Excel and MATLAB to solve simple mass and energy balances; and 6 Use Excel and MATLAB to solve basic chemical and biochemical engineering problems.
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 2.1 2.2
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)
1-6 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
1-6 -
Learning Resources
Recommended Resources
Textbook
W. J. Palm III, Introduction to Matlab 7 for Engineers, McGrawHill, 2005.
Reference Books
R. V. Dukkipati, MATLAB: An Introduction with Applications, Chapter 1 (e-resource through Barr Smith Library website), New Age International, 2010.
M. B Cutlip and S. Mordechai, Problem Solving in Chemical and Biochemical Engineering with POLYMATH, Excel, and MATLAB, Prentice Hall, 2007.
Online Learning
A range of online resources will be provided via MyUni.
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Learning & Teaching Activities
Learning & Teaching Modes
A combination of lectures and computer labs will be used for the delivery of this course.
Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Contact hours Workload hours Lectures 22 44 Tutorials/ Computer Labs 18 36 In-class quizzes 4 8 Final examination 3 6 TOTAL 47 94 Learning Activities Summary
Topic 1: Algorithms
Topic 2: Introduction to Excel
Topic 3: Statistical analysis using Excel
Topic 4: Regression analysis using Excel
Topic 5: Algebraic equations using Excel
Topic 6: Introduction to MATLAB
Topic 7: Algebraic equations using MATLAB
Topic 8: Regression analysis using MATLAB
Topic 9: Statistical analysis using MATLAB
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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
* The specific due date for each assessment task will be available on MyUni.Assessment Task Weighting (%) Individual/ Group Formative/ Summative Due (week)* Hurdle criteria Learning outcomes Weekly Tutorials 20 Individual Formative Weeks 2-12 1. 2. 3. 4. 5. 6. 2 In class tests 20 Individual Formative Weeks 4, 10 1. 2. 3. 4. 5. 6. Final Exam 60 Individual Summative 1. 2. 3. 4. 5. 6. Total 100
This assessment breakdown complies with the University's Assessment for Coursework Programs Policy.
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 .
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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 Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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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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