CHEM ENG 2013 - Advanced Process Modelling
North Terrace Campus - Semester 2 - 2015
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General Course Information
Course Details
Course Code CHEM ENG 2013 Course Advanced 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 2006 Assumed Knowledge CHEM ENG 1011, MATHS 2201, CHEM ENG 1007 Course Staff
Course Coordinator: Associate Professor Philip Kwong
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
By the end of this course, students should be able to describe,
1 How to formulate numerical problems using
a. Consecutive calculations
b. System of linear algebraic equations
c. Single nonlinear algebraic equations
d. Multiple linear and polynomial regressions
e. System of first-order ordinary differential equations
f. System of nonlinear algebraic equations
with the aid of mathematical software packages; and2 How to apply the methods in (1) for real-life engineering problems; and 3 How to choose/ build an appropriate model for the regression and correlation of experimental data and subsequently evaluate the accuracy of the model. University Graduate Attributes
No information currently available.
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Learning Resources
Recommended Resources
Reference Book
Cutlip, M. B. and M. Shacham (2008). Problem Solving in Chemical and Biochemical Engineering with POLYMATH, EXCEL, and MATLAB. Upper Saddle River, NJ, Prentice Hall.
Online Learning
A range of online resources will be provided via MyUni.
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Learning & Teaching Activities
Learning & Teaching Modes
The course will be delivered as a series of weekly lectures. Lectures are designed to deliver new materials and tutorials are designed as guided-workshops with practical sessions to help you to achieve the indented learning outcomes.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 Computer Labs 20 50 Assignments 0 48 Examination 0 12 TOTAL 42 154 Learning Activities Summary
Topic 1: Introduction/ Basic Principles and Calculations
Problem solving using single nonlinear algebraic equation, solution of a system of linear equations, regression of polynomials, single nonlinear algebraic equation and simultaneous ordinary differential equations.
Topic 2: Regression and Correlation of Data
Data correlations using linear and non-linear regression models, linearization and transformation of functions, model comparison using confidence intervals, residual plots and sum of squares techniques.
Topic 3: Numerical Problems in Thermodynamics
Modelling of compressibility factor, isothermal compression of gas, thermodynamic properties of pure substances using various equation of state.
Topic 4: Numerical Problems in Chemical Reaction Engineering
Modelling of batch, continuous flow, tubular and packed bed reactors using mass balance
equations and the determination of kinetic parameters from different
experimental data.
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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
No information currently available.
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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