Mining and Minerals Engineering

CSMM181 - Surface Mining (2020)

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MODULE TITLESurface Mining CREDIT VALUE30
MODULE CODECSMM181 MODULE CONVENERProf Hylke J Glass (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 100.00 Guided Independent Study 200.00 Placement / Study Abroad 0.00
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

Basic reading:

ELE: http://vle.exeter.ac.uk/

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 Search
Set Harrison, J.P. and Hudson J.A Engineering Rock Mechanics Part II: Illustrative worked examples Elsevier 2000 [Library]
Set Hudson J.A. and Harrison J.P. Engineering Rock Mechanics and introduction to the principles. Permagon 2005 [Library]
Set Atlas Powder Company Explosives and Rock Blasting    Field Technical Operations, Atlas Powder Company 1987 [Library]
Set Wylie D.C. and Mah C.W. Rock Slope Engineering 4th Edition Spon Press 2004 [Library]
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 06 July 2017 LAST REVISION DATE Wednesday 09 September 2020
KEY WORDS SEARCH Mining professional, Surface Mining, Slope stability.