CHEM ENG 7102 - Computation for Materials Engineering
North Terrace Campus - Semester 2 - 2020
General Course Information
Course Code CHEM ENG 7102 Course Computation for Materials Engineering Coordinating Unit School of Chemical Engineering Term Semester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 6 hours per week Available for Study Abroad and Exchange Y Course Description This course provides an introduction to modelling and simulation of materials, covering force-field based atomistic and molecular simulation, and first principle calculation based on quantum mechanics. Students will learn how to use computation as new tools to predict functional material properties. Students will also learn how to design materials and structures from the bottom up - to make lighter, stronger, more efficient, and less expensive materials. In this subject, students will get hands-on training in both the fundamentals and applications of these exciting new methods to key engineering problems, such as energy, optical, and quantum.
Course Coordinator: Dr Yan Jiao
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning Outcomes
- Demonstrate knowledge of theories for computation, such as force field methods and quantum mechanics.
- Demonstrate knowledge of modern computation techniques for materials engineering;
- Understand the capability and limitation of computation techniques for materials engineering;
- Understand the architecture of high-performance-computing (HPC) facilities;
- Apply computation techniques to model specific chemical and physical properties of materials for energy, optical, or quantum applications;
- Apply basic scripting to facilitate and accelerate the modelling of materials.
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)
1,2,4 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
3,5,6 Teamwork and communication skills
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
Recommended ResourcesReference Books
Computer Simulation of Liquids: Second Edition. by Michael P. Allen and Dominic J. Tildesley
Essentials of Computational Chemistry: Theories and Models 2nd Edition, by Christopher J. Cramer
Learning & Teaching Activities
Learning & Teaching ModesDiscussion and hands-on based interactive lectures; problem-solving based practicals.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Contact Hours Workload Hours Lectures 24 48 Practicals 22 44 Total 46 92
Learning Activities Summary
No information currently available.
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 Task Task Type Due* Weighting Learning Outcome Assignments Formative
20% 1,2,3 Projects Formative Weeks 2-12 40% 1,2,4,5,6 Final Exam Summative 40% 1,2,5,6
* The specific due date for each assessment task will be available on MyUni.
No information currently available.
No information currently available.
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.
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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