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BCPM000028: Supply Chain Management
Creation date：2024-05-22 14:48:08
Belonging category：工商管理Business Management
Supply Chain Management

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BCPM000028: Supply Chain Management
1. Introduction:
This document includes important information regarding your summative assessment.
Please read this document in full and refer to it while preparing your assignment.
This coursework has one part with a weighting of 100%, marked on a scale of 100.
Please note that this is an INDIVIDUAL coursework.
2. Assessment Brief:
The assessment for this module is an individual term paper of 3,000 words that explores
aspects of supply chain control and transparency. The question for the paper is:
Critically discuss how supply chains and their management in construction differ from those
in manufacturing sectors. Describe what these differences mean for the construction
sector’s ability to deliver sustainable value and manage environmental and social risks for
clients.
Supplemental Information: For marking scheme, word count and referencing requirements
please refer to the Course Notes. Your role in dealing with this assignment is to identify
relevant published material and discuss and analyse this material, making a case in response
to the question set. Some of the material published may contain case study material which
you may wish to consider and reference. Case study material might be useful but do not
construct your discussion around the case study material solely – use it to illustrate the
conceptual points that you derive from the literature.
A good academic essay will always cite recent journal articles in addition to some key book-
based references. Use Google Scholar but avoid web-based material unless you are certain of
the quality of the source. Try to be critical in your thinking and analysis, not just descriptive
of what others say.
3. Assessment sequence and weighting:
Summative
Assessment
Weighting
(%)
Release
date
Submission
date
Corresponds to
Learning Outcomes
L1 L2 L3 L4
Term Paper 100% 20/2/23 19/04/23 ✓ ✓ ✓ ✓

4. Format:
This assignment has a limit of 3,000 words (see table below for inclusions and exclusions).
All sources and references should be acknowledged using the Harvard referencing system.
Examples of the Harvard referencing system are included in your Course Notes and were
discussed in the research methods sessions.
There is a 10% leeway for the word limit: submissions that are within 10% over or under the
word count won’t be penalised on the basis of wordcount.

Type of content Counts towards the word limit
Table of contents No
Reference list or bibliography at the end No
Cover page No
Diagrams, annotated pictures, figures, and any
other visuals
No
Appendices No
Abstract No
Acknowledgements No
Footnotes Yes
Tables in the main text Yes
In-text citations Yes
5. Marking Criteria:
Introduction
A clear statement which sets the scene and outlines the context, the
objectives of the essay and a summary of the structure of the paper. An
overview that stimulates the reader about the content of the paper.
10%
Problem context
Describe and compare the contexts that the essay is considering,
supporting your arguments with evidence from past academic
literature in SCM and construction management. Consider the
importance of delivering sustainable value and addressing social and
environmental risks.
25%
Analysis
Provide critical and coherent analysis of what the differences you have
identified mean for the construction sector’s ability to deliver value and
manage risks. In your analysis, you are expected to comprehensively
analyse the literature to discuss the principles of supply chain
management connected to your arguments.

You can illustrate the arguments with examples from case-studies,
however please be careful with the word count and avoid long
descriptions. Case study material might be useful but do not construct
40%
your discussion around the case study material solely – use it to
illustrate the conceptual points that you derive from the literature.
Conclusion
This section is an opportunity to highlight the key findings of your
exploration. Summarise your arguments and guide the reader to find
the answer for the implications of your exploration, you should
highlight the managerial recommendations based on your paper.
10%
Presentation
The objective is to write following an academic style, supporting
your arguments with evidence from the literature. You are encouraged
to use headings/sub-headings to organise your text. Introduce the
tables/figures before they are presented in the text.

In the context of word count:
- Penalties of up to 10% of marks will be applied due to over/under-length.
- Over/under-length penalty cannot take the student’s mark below ‘Pass Mark’
In the case the coursework that is submitted is over/under-length and is also late, the
greater of any penalties will apply.

7. Assessment Support:
There will be an introduction to the assignment brief in Session 1, and an opportunity for
Q&A in the last session of the module, but you are welcome to raise questions during any
contact hours. You are also welcome to contact the module lead by email with questions.
You can also arrange to meet to discuss the coursework through email too.
During and after the module delivery weeks, I will be holding weekly office hours for
students to drop in an discuss any issues they are having with the module or the
coursework. The weekly sessions are as follows:
In person:
• Wednesdays 9.00am – 10am, Room 231 1-19 Torrington Place, 22nd Feb - 5th April
On Teams:
• Friday 4.00 – 5.00pm please use this link to join the room, until 14th April.
You can join the Teams call using this link.
Please note that students will normally only be admitted individually, and that there will be
no Teams session on Good Friday (7th April).
The Writing Lab is a free service offered through the UCL Academic Communication Centre
which runs workshops, tutorials and support sessions to enhance academic writing and
research skills. 

8. Academic Integrity:
UCL requires high academic standards to maintain trust and confidence in our world-leading
research and teaching, as well as the individuals who work and study here.
Through your UCL education you will become an independent learner and knowledge
creator. To be successful you must develop good academic practice skills and avoid any type
of Academic Misconduct.

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MGMTMFE 405 25579 1ECE 273 M122 COMP4434 1ELEC ELEC5620M STAT0010 BFF2401 MXB361 MATH3811 CS330 CMT307 FIT1033 CptS 583 UP 431 MATH6005 AF5343 CS2435 ECOM30002 ES50061 CS 2506 ECMT6002 CODE 00099F MT4539 ESSAY ICM317 MATH1231 MFIT5010 BMA547 MATH334 CIVL2201 MATH39032 T-04 CIVE97119 EMESTER CAB302 CAB301 59PM STAT802 ISYS3412 RM3 COSC 2123 AcF 311 MATH2022 1FINAL 4CCS1PHC ICM 142 ENVS3023 Math 4023 I1 ACSE8 FIN B385F CS-275 STA 4109-01 A31021 EE140 MT1 EE124 ECO-6004B Inf2-IADS CS126 IS2184 UL18 MATH5092 ECOM009 COMP 6211 ELEC202 MKT3019 IAB230 FIT5046 584-S21 COMP3210 CO250 A29401 MATH 136 MGT6174 ECMT6007 DATA2001 MAT 443 MATH10222 PHDE0071 ELE00123M COSC1295 MAT00045H MATH32032 1004GRC MAS223 COMP10001 DATA3404 CIVL2110 STAT2008 FNCE10002 EEE6431 COM6515 COMP9120 NBS8185 ECTE942 ECON 405 MATH314301 STAT 2011 COMPSCI 350 COMP20007 CMPSC-132 ECON5002 STA 35 MTH6108 FIT5147 MTH6150 100C FINA 5260 DESC9115 ECON4998 NBS8257 GMM ECON 6070 BSA2 ECE599 STATS 102B STA120 INFS601 BFC3241 MATH20602 COMP532 MAS275 COMP5318 COMP4002 FIT5086 MAST20004 FIT3152 FIT5129 CIS2380 CS521 COMP 1005 EECMS CITS5501 ECE 462 ECON 6002 ENG 4051 CSC 648 CMT654 MECHENG 713 PHYS1002 AMME 2000 FP0060 DDES3200 MECHENG 743 BINF90002 FIT2081 ISYS90081 ELECTENG 722 BUS 360 ECOS3010 BUS2810 ETF2100 ENG2048 STAT5002 COMP2017 CEME 2003 MATS3004 COMP9319 PHYS1001 COMP5349 AMME2261 COMP-381 FIT3173 COSC2757 ENG4025 QBUS2820 COMP9414 MATH2021 EOSC118 MFIN6690 PMATH 321 CSE-141L MATH575A COMPSCI5002 COMP1511 management comp2123 FINS3616 COMP 3331 COMS30034 DTSC 71 AcF 702 AcF702 DTSC71 MAT021 ELE8083 ACFI213 EG-127J 127J FIT5163 FIT2001 ELE00113M CMT310 CS 245 ENGL 1101 MTH6115 EE497 CS 325 Math 124A MTH5130 MBA502 MGT 5380 ARCH 1261 F033800 20LLP109 ELE4009 FINANCIAL COMP3331 Computer ECE4179 20T3 COMP9311 COMP9311 UNSW MFIN6210 ACCT 5930 EE590 ENG2029 ECO100 SIT315 ACCT3610 COMP3600 STK2100 FIT2004 COMP30020 ACTL1101 Stat 101B BANA 200 COSC2473 ENGG1400 AI COMP90043 MMF 1914H PHYS 127 CS584 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SVM. (10 points) Consider an SVM classifier using RBF kernel, and finish the following python code to search for the optimum kernel parameter γ. You are required to calculate the RBF function and search yourself, instead of using functions in Scikit-Learn (sklearn). def parameter search(gamma list ,Xtr,ytr,Xts,yts ,...): """ Parameters gamma list: A list of RBF kernel parameter gamma to search for Xtr: Training data, shape (ntr,nrow,ncol) ytr: Training labels, shape (ntr,) Xts: Test data, shape (nts,nrow,ncol) yts: Test labels, shape (nts,) ... Add other parameters as needed Returns: gamma optimum: The gamma with minimum error on Xts, yts """ ... return gamma optimum
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