Surface Mining - 2023 entry
| MODULE TITLE | Surface Mining | CREDIT VALUE | 30 |
|---|---|---|---|
| MODULE CODE | CSMM181 | MODULE CONVENER | Prof John Coggan (Coordinator) |
| DURATION: TERM | 1 | 2 | 3 |
|---|---|---|---|
| DURATION: WEEKS | 11 | 0 | 0 |
| Number of Students Taking Module (anticipated) | 10 |
|---|
DESCRIPTION - summary of the module content
The module provides both an overview of data analysis methods, an in-depth introductionto aspects of sampling theory and statistical inference, and process mass balancing which are relevant for mineral processing. This module imparts valuable knowledge of essential techniques for understanding the information contained in data obtained by offline (or inline/online) analysis of samples from mineral processing unit operations. . Skills in sampling and data analysis are useful during the individual research project after the taught part of the MSc Mineral Processing programme and in later life.
The module is linked to module CSMM434 and forms part of the specialist modules on the MSc in Minerals Processing.
As a prerequisite to fully engage with the module, students are expected to have a basic appreciation of statistics and mathematics. Guidance on appropriate self-study to improve knowledge in these areas can be given if desired.
AIMS - intentions of the module
This module has been designed to develop an understanding of sampling and data analysis. Students gain an appreciation of the importance of well-managed sampling and learn about techniques to determine a fit-for-purpose sample size. Coupled to inference from individual samples, mineral processes are analysed using data consisting of multiple samples. . The discussed techniques are vitaltools for use in future employment.
INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)
On successful completion of this module you should be able to:
Module Specific Skills and Knowledge
1. Understand basic statistical concepts such as statistical distributions, bias, uncertainty and error.
2. Understand the link between sample variance and sample size and how appropriate sample masses can be estimated to manage uncertainty.
3. Describe suitable procedures and techniques for sampling material in the context of the minerals processing industry.
4. Apply data analysis tools to the interpretation of experimental data.
Discipline Specific Skills and Knowledge
5. Apply appropriate mathematical methods, scientific principles and computer based methods to the modelling, analysis and solution of practical engineering problems.
6. Work safely in laboratory, workshop environments etc., and promote safe practice.
Personal and Key Transferable / Employment Skills and Knowledge
7. Sort, manipulate and present data in a way that facilitates effective analysis and decision making.
8. Communicate effectively and persuasively using the full range of currently available methods.
SYLLABUS PLAN - summary of the structure and academic content of the module
Sampling theory topics
Statistical distributions: types, moments, and statistics Concepts: uncertainty and bias
Derivation of sampling variance equation Variance in the sampling value chain Inference based on single sample analysis Sample size determination
Optimisation of sample size Types of sampling techniques
Data analysis topics
Reconciliation: obtaining a closed mass balance Regression modelling: least squares estimation Analysis of variance (ANOVA)
Clustering: principle component analysis, dendrogram Bayesian prediction
Health and Safety engagement
Health and safety implications related to sampling of different types of minerals in laboratory and industrial settings are discussed
LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
| Scheduled Learning & Teaching Activities | 100 | Guided Independent Study | 200 | Placement / Study Abroad | 0 |
|---|
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
| Category | Hours of study time | Description |
| Scheduled Learning & Teaching activities | 100 | Using online resources with help and guidance from UoE staff. Includes e-tivities and discussion boards |
| Guided independent study | 200 | Residentials, Group work, site visits, field trips, discussions, activities, presentations and assessments |
ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
| Form of Assessment | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
|---|---|---|---|
| Online e-tivities | 6 hours (several short e-itivities) | 1-10 | Written |
| Discussion boards | Variable | 1-10 | Written (on discussion board) |
SUMMATIVE ASSESSMENT (% of credit)
| Coursework | 40 | Written Exams | 40 | Practical Exams | 20 |
|---|
DETAILS OF SUMMATIVE ASSESSMENT
| Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
|---|---|---|---|---|
| Report | 15 | 1,500 words | 1, 3, 5, 8, 9 | Written feedback sheet with comments |
| Exam | 40 | 1 hour | 1-8 | Written feedback sheet with comments |
| Report | 25 | 3,000 words | 1-10 | Written feedback sheet with comments |
| Group Presentation | 20 | 20 minutes | 2, 6, 7, 8 | Written feedback sheet with comments |
DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
| Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
|---|---|---|---|
| Report | Report | 1, 3, 5, 8, 9 | Approximately 6-8 weeks after residential |
| Exam | Exam | 1-8 | At next residential |
| Report | Report | 1-10 | Approximately 6-8 weeks after return of initial assignment |
| Group Presentation | Annotated powerpoint presentation | 2, 6, 7, 8 | Approximately 3 weeks after residential |
RE-ASSESSMENT NOTES
All referral marks are capped at 50
RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener
information that you are expected to consult. Further guidance will be provided by the Module Convener
Basic reading:
Online lectures, PowerPoint presentations, documents and reference material in pdf format, mp3 podcasts, videos, e-tivities, discussion boards; and links to the University of Exeter electronic library and its comprehensive resources.
Web based and Electronic Resources:
Web based and electronic resources: Module is largely delivered by a dedicated ELE website that also involves links to external corporate, professional, educational websites and YouTube.
http://www.rockeng.utoronto.ca/roc/Hoek/Hoek.htm - Hoek’s Corner
SME Mining Engineering Handbook
Other Resources:
The site will have additional literature resources from external professional bodies, technical guides and manuals and use of company annual reports.
Reading list for this module:
| Type | Author | Title | Edition | Publisher | Year | ISBN |
|---|---|---|---|---|---|---|
| Set | Harrison, J.P. and Hudson J.A | Engineering Rock Mechanics Part II: Illustrative worked examples | Elsevier | 2000 | ||
| Set | Hudson J.A. and Harrison J.P. | Engineering Rock Mechanics and introduction to the principles. | Permagon | 2005 | ||
| Set | Atlas Powder Company | Explosives and Rock Blasting | Field Technical Operations, Atlas Powder Company | 1987 | ||
| Set | Wylie D.C. and Mah C.W. | Rock Slope Engineering | 4th Edition | Spon Press | 2004 |
| CREDIT VALUE | 30 | ECTS VALUE | 15 |
|---|---|---|---|
| PRE-REQUISITE MODULES | CSMM177, CSMM178, CSMM179, CSMM180 |
|---|---|
| CO-REQUISITE MODULES |
| NQF LEVEL (FHEQ) | 7 | AVAILABLE AS DISTANCE LEARNING | No |
|---|---|---|---|
| ORIGIN DATE | Thursday 6th July 2017 | LAST REVISION DATE | Thursday 2nd February 2023 |
| KEY WORDS SEARCH | Mining professional, Surface Mining, Slope stability. |
|---|
Please note that all modules are subject to change, please get in touch if you have any questions about this module.
