ࡱ> O 03bjbj88 RWiRWi*28d5D!!!!!q*--L4444444$Z7:b4-1*@q*--4!!4141414-j8!!414-4141414!oyg.14440514r:%/r:14r:14P--14-----441---5----r:---------X H:  Programme Details 1. Programme titleBiodiversity and Conservation2. Programme codeAPST14 / BIST033. QAA FHEQ level74. FacultyScience5. DepartmentSchool of Biosciences6. Other departments providing credit bearing modules for the programmeNone7. Accrediting Professional or Statutory BodyNone8. Date of production/revisionDecember 2022 AwardsType of awardDuration9. Final awardMScYes12 months10. Intermediate awards PGDipNo9 monthsPGCertNo9 months Programme Codes 11. JACS code(s) Select between one and three codes from the  HYPERLINK "https://www.hesa.ac.uk/support/documentation/jacs/jacs3-principal" \h HESA website.C184C18112. HECoS code(s) Select between one and three codes from the  HYPERLINK "https://www.hesa.ac.uk/innovation/hecos" \h HECoS vocabulary.101318100864 Programme Delivery 13. Mode of study Full-time14. Mode of delivery Face to face 15. Background to the programme and subject area Biodiversity conservation is of global importance as the human population grows towards 10 billion and pressure on natural resources and ecosystems increases. Indeed, UN Sustainable Development Goal 15 of the 2030 Agenda for Sustainable Development is devoted to protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss. Equipping graduates with the knowledge to understand these challenges and the skills to address them is therefore a priority. 91ֱ is a centre of research excellence in biodiversity and conservation of a wide range of ecosystems from the tropics to the Arctic and from forests to seas. We harness this expertise to deliver a course which combines fundamentals of biodiversity and conservation science together with practical applications across a range of natural, agricultural, and urban ecosystems. 16. Programme aims MSc Biodiversity and Conservation aims to:A1Provide an in-depth coverage of current theory, main methods, and key issues in biodiversity and conservation science.A2Equip students with the skills to critically analyse current topics in biodiversity, conservation, and global change.A3Provide training in the key skills required to plan and manage a scientific project, and develop students abilities to independently research a topic in depth.A4Show students how they can apply their academic knowledge to effect positive societal and economic change. 17. Programme learning outcomes Knowledge and understanding On successful completion of the programme, students will be able to demonstrate knowledge and understanding of:Links to Aim(s)K1Major conservation issues affecting a range of global ecosystems and their human and environmental driversA1, A2K2Major ecosystem types and broad patterns of biodiversity in space and timeA1K3The principles of robust scientific enquiryA3K4How to apply subject-specific knowledge to new settings, context and challenges to make a positive difference in the worldA3, A4 Skills and other attributes On successful completion of the programme, students will be able to:S1Summarise and classify key topics in biodiversity and conservation biologyA1S2Critically interrogate contentious ideas in biodiversity and conservation biologyA2S3Demonstrate creative and strategic approaches to problem solving both independently and through effective group workA3S4Apply critical and analytical skills, in particular design of experiments, data analysis and the use of statisticsA3S5Communicate complex or contentious ideas effectively, in both writing and orally, to peers, other specialist audiences, and the general publicA3S6Identify questions or knowledge gaps in the field, and design, plan, conduct and report on a rigorous investigation to address theseA4 18. Learning and teaching methods Learning objectives will be delivered through a range of teaching methods including lectures, seminars, tutorials and discussion groups, practical and field classes, and individual research. K1 and K2 are delivered primarily through lectures and discussions delivered mainly by School of Biosciences academic staff supplemented by external guest speakers. K3 and K4 are delivered primarily through seminars, tutorials and practical classes. Skills will be developed through hands-on practical classes and master-classes, group and individual projects. Delivery will build on the School of Biosciences reputation for research-led teaching, and will be provided by a range of academic and teaching staff. Skills sessions in semester 1 will focus on key skills required for students to become self-directed learners, including for example sessions on critical reading of scientific literature and literature research skills. Links to key resources will be provided on the dedicated programme Blackboard area and within module-level Blackboard sites. 19. Assessment and feedback methods Assessment is primarily via a variety of coursework, with specific exercises designed to develop and test different skills. Coursework includes various written exercises (essays, extended project reports, policy briefing notes, statistics exercises), as well as oral presentations, with an emphasis on effective communication to a range of specific audiences. Feedback will be available to students prior to final assessment. Depending on the module, this may involve individual or small group discussions, or annotation of written work. Formative feedback is built into the constituent modules of this programme, and includes verbal feedback in group sessions, as well as structured and open-door dedicated feedback sessions in advance of coursework deadlines, providing students the opportunity to act on feedback prior to final submission of work. In addition, there are opportunities to get detailed feedback on sections of major pieces of written work, in the form of verbal comments or written annotations. Workshops will provide the opportunity for generic feedback to be offered, as well as allowing students to raise questions and request feedback in a small-group setting. Feedback will be provided on all assessed work, primarily in the form of annotations and comments on written work. Electronic marking will be used as standard with feedback accessible via Blackboard. Links to relevant skills sessions provided either within the School of Biosciences or via other routes (e.g. 301) will be provided as appropriate in support of specific feedback comments. 20. Programme structure and student development This course is designed to offer students a core curriculum covering a wide range of topics in biodiversity and conservation science, while providing limited module choice to enable students to gain specialist skills relevant to their own career aspirations. It offers a progression from learning fundamental concepts and core skills, through to applying these via an independent literature review and finally a significant independent research project. Core learning is provided by 4 x 15 credit modules across semesters 1 and 2, which students will choose from available options. These include primarily lecture-delivered courses teaching principles of conservation through real-world case studies of major conservation issues, as well as the issues that arise as we try to balance sustainable food production with biodiversity conservation, practical application of modern methods in biodiversity science, a lecture-driven module on global sustainability from an ecosystem ecology perspective, and a specialist module teaching methods applicable to study and conserve birds. A dedicated field course module will include visits to field sites, learning about specific conservation issues on the ground, including, for example, the constraints posed by policy and legal frameworks and budgets, as well as the biodiversity of the field site. In addition, all students will conduct a core 15 credit literature review (semester 1 and 2) which will allow them to develop their critical reading and writing skills, and to research in depth a topic of interest related to their learning in the taught modules. Students will also take a 15 credit (semester 1 and 2) Advanced Scientific Skills module which will provide them with the more generic writing, communications, and project-based skills required for a range of careers, and a 15 credit (semester 2) Advanced Data Handling and Analysis module which will give them the computational and analytical skills required for a range of scientific careers. Finally, students will conduct a capstone 60 credit research project, enabling them to apply their knowledge, reflecting the learning and development of critical subject-specific critical and analytical skills over the course of the programme Students achieving 120 credits from modules excluding the research project will be eligible for a PGDip in Biodiversity and Conservation, and students achieving 60 credits from these modules will be eligible for a PGCert in Biodiversity and Conservation. Students who in addition successfully complete the Independent Research Project will be eligible for an MSc in Biodiversity and Conservation.Detailed information about the structure of programmes, regulations concerning assessment and progression and descriptions of individual modules are published in the University Calendar available online at  HYPERLINK "http://www.sheffield.ac.uk/calendar/" \h http://www.sheffield.ac.uk/calendar/ 21. Criteria for admission to the programme Detailed information regarding admission to programmes is available from the Universitys On-Line Prospectus at  HYPERLINK "http://www.shef.ac.uk/courses/" \h http://www.shef.ac.uk/courses/. 22. Reference points The learning outcomes have been developed to reflect the following points of reference: Subject Benchmark Statements HYPERLINK "https://www.qaa.ac.uk/quality-code/subject-benchmark-statements"https://www.qaa.ac.uk/quality-code/subject-benchmark-statements Framework for Higher Education Qualifications (2014) HYPERLINK "https://www.qaa.ac.uk/docs/qaa/quality-code/qualifications-frameworks.pdf"https://www.qaa.ac.uk/docs/qaa/quality-code/qualifications-frameworks.pdf University Vision and Strategic Plan HYPERLINK "/vision"/vision 23. Additional information None This specification represents a concise statement about the main features of the programme and should be considered alongside other sources of information provided by the teaching department(s) and the University. In addition to programme specific information, further information about studying at 91ֱ can be accessed via our Student Services web site at  HYPERLINK "http://www.shef.ac.uk/ssid" \h http://www.shef.ac.uk/ssid.     apst14_bist03 ver23-24 PAGE1 Programme Specification A statement of the knowledge, understanding and skills that underpin a taught programme of study leading to an award from 91ֱ  -.KLM^_enop   9 : > ? @ ^ _ l m n o u ʿʻլդʻʻʻʻʻʻʜʻhxh"U|5>*hpCJaJhjk.CJaJhxh]&B*CJaJphhMlhxh"U|CJaJhxh]&CJaJhxh"U|CJaJ h]&5>* h"U|5>*h]&jhxUmHnHu8 .L d$Ifgdx$If$d1$$<a$ LM_oob\$If (($Ifgdxkd$$Ifs0 <(   t 0n(4d4 saApytxopoi[ d$1$Ifgdx$Ifkd$$Ifs0 <(   t 0n(4d4 saApytxoi] d$Ifgdx$Ifkd$$Ifs0 <(   t 0n(4d4 saApytxoi] d$Ifgdx$IfkdL$$Ifs0 <(   t 0n(4d4 saApytx oi[ d$1$Ifgdx$Ifkd$$Ifs0 <(   t 0n(4d4 saApytx : ? obT d$1$Ifgdx (($Ifgdxkd$$Ifs0 <(   t 0n(4d4 saApytx? @ _ m obT d$1$Ifgdx (($Ifgdxkd$$Ifs0 <(   t 0n(4d4 saApytxm n o v oi^^^^ $$Ifgdx$dkd\$$Ifs0 <(   t 0n(4d4 saApytxu v      @ A ½hxh"U|6>*B*phUh"U|jh"U|Uhxh"U|6hxh]&CJaJhxh"U|CJaJ h]&5 h"U|5>* h]&5>*h]&hRhxh]&>*hxh]&6>*CJaJhxh"U|>*hxh]&5>*. 3( $$Ifgdxkd $$Ifd\#P(: - -  t(0n(4daFp(ytx ,kd$$Ifd\#P(: - -  t 0n(4daFp(ytx $$Ifgdx $d$Ifgdx 7kd$$Ifd4\#P(`: - -  t 0n(4daFp(ytx $$Ifgdx $$Ifgdx8d$$d%d&d'd(d1$IfNOPQRgdx   B<<666$If$dkd$$Ifd4\#P( : - -  t 0n(4daFp(ytx  & ' 8 9 : @ A G H I J K L M _ ` a q r s | } ~ ڴϖ{{hMl h]&5>* h"U|5>*h]&5CJaJh]&hxh"U|6>*B*phUh"U|jh"U|Uhxh"U|6hRhxh]&OJPJQJ^Jhxh]&CJaJhxh"U|CJaJhxh]&6$jhxh"U|6>*B*UphU- : .kd $$Ifs\8"(FsU  t 0(4d4 sa_p(ytx $1$Ifgdx$If: A H I J .kd $$Ifs\8"(FsU  t 0(4d4 sa_p(ytx $1$Ifgdx$IfJ K M ` r s } ~ Xkd $$Ifs0 ( k  t 0#(2 s4d4 saPpytx$If$dgdMl1$ lddY $1$IfgdMl$a$gdMlkd $$Ifs0 ( k  t 0#(2 s4d4 saPpytx   abcef-.ƻˣ⟣⟣⟣hxh"U|5CJaJ h]&6hphxhp5CJaJhxh]&5CJaJhxh"U|CJaJ h]&5h]&hxh]&CJaJhpCJaJhphpCJaJh]&5CJaJh"U|5CJaJ8$If$a$gdMlmkdV $$Ifd^'' t0'2d4dap ytxb $1$Ifgdpskd $$IfsX'Q'  0Q'4d4 sazp ytxbcftii $1$Ifgdpkd$$Ifs0PX'I%  0Q'4d4 sazpytxtii $1$Ifgdpkde$$Ifs0PX'I%  0Q'4d4 sazpytxtii $1$Ifgdpkd-$$Ifs0PX'I%  0Q'4d4 sazpytx.tqqfY P$1$IfgdMl $1$Ifgdx1$kd$$Ifs0PX'I%  0Q'4d4 sazpytx.f%&')*tuwxy{|)*0124OP<=?@ʾ徾hxhp5hphxhpCJaJht hpCJaJhxhp5CJaJhMlhxh"U|5CJaJhxh]&CJaJh]&hxh]&5CJaJhxh"U|CJaJ= $1$Ifgdxukd$$IfsJ'3'  03'4d4 sap ytx&nccc $1$Ifgdpkdq$$Ifs0!J'!U 03'4d4 sapytx&'*ux\QQQ $1$IfgdpkdK$$IfsF}!J'fxU  03'    4d4 sapytxxy|\QQQ $1$Ifgdpkd+$$IfsF}!J'fxU  03'    4d4 sapytx*1\QQQ $1$Ifgdpkd $$IfsF}!J'fxU  03'    4d4 sapytx124P\ZOB P$1$IfgdMl $1$Ifgdxkd$$IfsF}!J'fxU  03'    4d4 sapytx $1$Ifgdpukd$$IfsJ'3'  03'4d4 sap ytx=@\PEE $1$Ifgdp d$Ifgdpkd$$IfsF}!J'fxU  03'    4d4 sapytx@ACD235679:DDTUWXYZ^{|||||Ǿh]&hph]&CJaJhphpCJaJh]&5B*CJaJphh"U|5CJaJh"U|5B*CJaJph h]&5hxhpCJaJht hpCJaJhxhp5CJaJhp8@AD\QQQ $1$Ifgdpkd_$$IfsF}!J'fxU  03'    4d4 sapytx36\QQQ $1$Ifgdpkd?$$IfsF}!J'fxU  03'    4d4 sapytx67:\QQQ $1$Ifgdpkd$$IfsF}!J'fxU  03'    4d4 sapytxUX\QQQ $1$Ifgdpkd$$IfsF}!J'fxU  03'    4d4 sapytxXYZ|\V9$ @ $d%d&d'd(dNOPQRgdMl1$gdMlkd$$IfsF}!J'fxU  03'    4d4 sapytx|!yy PP$Ifgdpjkd$$IfH'`'0`'44 Hap ytx xx$Ifgdx  !!!!!!!!!!""""#####$$$T$U$V$%%%&&&'''M'N'((()))ﰥhpCJaJht hpCJaJh]&5B*CJaJphh"U|5B*CJaJphh]&hxh]&CJaJhphpCJaJh]&5CJaJh"U|5CJaJh]&CJaJ>!!!"Z!9$ @ $d%d&d'd(dNOPQRgdMl6$ @ $d%d&d'd(dNOPQRnkdA$$IfH'`'0`'2 s44 Ha+p ytx"#N'*`,a,-T/xx$$d%d'd(dIfNOQRgdpckd$$IfH'`'0`'44 Haytp xx$Ifgdp x$Ifgdp)*****+++,,_,`,a,,--/-0-e-f----------..*.+.Z.[.y.z.{.̷壕~ooo̷ht hpB*CJaJphh]&5B*CJaJphh"U|5CJaJh"U|5B*CJaJphh]&5CJaJhphpCJaJ)jht hp>*B*CJUaJph ht hp>*B*CJaJphjhpUhphphpCJ\aJht hpCJaJ&----e,9$ @ $d%d&d'd(dNOPQRgdMl6$ @ $d%d&d'd(dNOPQRckdb$$IfH'`'0`'44 Haytp{.|.}.~...../// /T/U/V///////0"0#0$0m0n0o000ɾtbtMM)hjk.hjk.B*CJOJQJ^JaJph#jhjk.hjk.CJUaJ!jhjk.hjk.0J#CJUaJhjk.hjk.0J#CJaJ#jhjk.hjk.CJUaJjhjk.hjk.CJUaJhjk.hjk.CJaJht hpCJaJht hp5CJaJh]&5CJaJh"U|5CJaJ h]&5h]&hxh]&B*CJaJph-|.}.~.]'6$ @ $d%d&d'd(dNOPQRjkd$$IfH'`'0`'44 Hap ytx7xx$$d%d&d'd(dIfNOPQRgdMl~...///o000 x$Ifgdp3x$If[$\$gdjk. $Ifgdjk. x$Ifgdjk.$ @ xx$Ifgdp$ @ gdMl000000000000111 1 1 1 11#1N1112ಜykk]UUJB>>>>>h"U|h]&B*phhxh]&B*phhRB*phh]&5B*CJaJphh"U|5B*CJaJphhjk.5B*CJaJph h]&5h]&hph]&>*CJaJ*jhjk.hjk.0J#B*CJUaJphU!hjk.hjk.0J#B*CJaJphU#j hjk.hjk.CJUaJhjk.hjk.CJaJjhjk.hjk.CJUaJ hjk.hjk.CJOJQJ^JaJ0001V9$ @ $d%d&d'd(dNOPQRgdR6$ @ $d%d&d'd(dNOPQRskdM $$IfH'`'0`'22 H44 Hap ytx1 1 11],0d$d%d&d'd(d1$NOPQRjkd $$IfH'`'0`'44 Hap ytx7xx$$d%d&d'd(dIfNOPQRgdx22#2N2222222222222222222222222222222233333333ƾyykhxB*mHnHphuh"U|B*phjh"U|B*UphhIB*CJaJphhMlB*CJaJphhjk.B*CJaJphh"U|B*CJaJphh]&B*phhWjhWUh]&!jhxh"U|>*B*Uphhxh"U|>*B*phjh"U|Uh"U|*122222222222jkd!$$IfH'`'0`'44 Hap ytx xx$Ifgdx 2222333 33aVM$<:Da$ $<<:Da$4$ 9r $d%d&d'd(dNOPQRa$1 9r $d%d&d'd(dNOPQR4$ 9r $d%d&d'd(dNOPQRa$33 3*3U3333333333333hWh"U|h"U|5B*CJphh]&h"U|5B*CJph33333333:D<<:D$<:Da$50P. A!`"`#@$% Dpn| x+cxYq]PNG  IHDR1t2IDATx^]oyEEڻBho #}2 Zx"]\no~ME wջ{^^ v),3C΋V8/Av^/QY9S8lnЌaJ3 +:vH+}s&g.%FJ̶jm3Yk3s][CL;3ؕ^kS0ۭ\l&YZSfIv+|:Lb7i;tN?*g{|{6qs ɟYh*5gЫ7;j5:9stlڞNRG3dYeܛ|$@Ԕuss߆69asqjLrWva9^͵ZoNx8g*߭2[[HNpǜKpWB|8np2c ]8Ig0rqKL* N} ]8Mb|uէR cFr;gprqodbm$wd6sB-83t|4u=#Xcv '9)'`@l}u9JLpƕKβrh1'2uԥ Δ۟K99uKq8 Ar*/gtJօӌ9GyS?>kgq k1C8yj~Z椶';:ɏ(/'2 Nw|$i&:!ڌӺp1(rzOkjzC JƢ<^,wtչ8hЎF]+䓬51 N?(rq><-Rzsy o{dG1.GSп 8ĩTŨqutAd ްi>>:7̜<ԉ7+ғG&8qgq~66冮K9b˞bX,×Va/NSFyS^HI$?ʣ<8 O1l4ϥ<>}8G;q>y]v=8Gp>&KniL xe>SNщEÉ߽5@y:CJBz@O3l y{>?t o؟˞N32pJwߐ~NSߓSs*[c :qmX/NAWNeb4>󳦰­6;ϰߟ5Erʗ&Px)01mI)srk87[Jpܧ2}kbe*z/#\#'?5N-'d)Nru1N$S}^ɹ۞@BE9oMq = _b[eD)˟H4LK)괔X9?oI?TSג'Y8gICےAӑOn+8~s^$.'r΃+ջpj)Nz{醓 D e"NA1oNlsn$ۄ)3 ,ls='ϜW'L2E/^g9o)jIӧ^݀vl_!Emo޳{qP9= m0]r =Ph|5qKd~v]&-g/9/8 Mi8Τ̜ebU_nJDf6D9 ~,KY/ u3L2KcTlu2sKMuhϑ&'n^XFx5n-|^{'I]8mp )U_c8pRI󦴴_'Q>ct-a1ǿ0yks#NSs]q|Cm K>̧"I ؤYP/qkE9|dM,}4aӂÔ9D(NA;٬&lIWS9}t$ޝG68m5ݮ'NµBHf+NKZ'윒sZӑdr⸘Sǚ^m&IwhtrpĉGy@rbo%Ω7>}47ȯE49[s'uJirlR.Nʪhn2ljJaWN.7pq:'%[^]88u '1bp1ZNS.N(Ε'uώ|S85i(z3\"Ο;7'^0q14ZgT=ҜΧy2S8 τEƘS?L\NZm8#Odh1C-|3sqJ]\6~2S8%# dU|:qx4"JL$S;L|b슱hw^]S[upV[!#0S|#5F9J=W:Ap>qξڵq.&8]M'Ksq*SstqJ:T㤯y2{ifuiOΩ8$g.nsrr;U.˼ʸX6i$8'& W[眪Ãm!ki>Oup "NgNp=VGMIq:)Nq"Nũ.pCoEɲFacN,g|go6|&'iLT9fl"}r陜ܖA'g/9F>{Fw>3FlN -N]U=@Έ0zcEIN8CɈWMBG t3<̠TU$rS#n+NnV7ȯgvog;q!Kr‹#MWsi \C1d ipC=;qi8JF"M=3iZG>;'Oqj{Y$,hq"Nn kyp/LYRq_kEGcB@0,T }ʠ7;%RCNUz%$*g#4s:2ٔt]NU>N79ңɗiw"C>z)+PSo 1=P=U8}Htmg ^ʩ gq eH9=NsirqrSu9yS2s:R~doT}Y_pVt%+'5t>b9ySrp fup[6 =2sR0AQ;gU9^Y[;֜ g Epxp9wၛ9C '`T [?ɾv3G̜V̩~3RP[Τa>sbQ=5RB#qڭ WV΀8WBt5߫%2g(3*~*ATy#ljQIg0ыvN_r$(I3xqt)q<{񳔙=86QlR-E@(D9-Sp8U^iQvN=+pM1ϪT@'ϡ~ ˀx y:cX NF'fXҟ&'VM0`X4E:DNZ+@{WoҒkcR7TN2bN:i(X*'*Z@5NmKd`מ9P RJWSym9HqFT𢆈3E59&C6yu象ʙAΩQ4k!eҜpC5 e8L͂Q(өGtqu?hT6Ɯ!qbԏp,2pZ*O;ҷ$Hs} S%.t|dLi[xh:l.a !rFHB9uĈ(_Ըj7DH8]Ɲ4ʌ8!Am?*L9 PnQƢ.N8B: O_1qX&M4+-Q,D9UDDf܇!)KT86ư`XEsS-3>rȜSUq$_V_ ]Ӌ T9LGwbwIwgW#9]tj`ԩD/Gs-[bNr K?+d *Q;RqNȡroرôaUHaLJSswZHeս+G3['NP9;+ɖr8NuE1':tD8]8v5V¡b _YCgӖ^b}['Xb pX~:pW!; F:<1oE5&YsyPut>;"C^M9LĹm۵ȗtjDP,HY8088Cd91G6C/(NݲZk opտ44NYRY UD[l/{*S7-d8,j fэu{6$U[Q68U<,NX5R uxmWSʆ)S'DaC cn{iD{;؊\}}I# Ks+ 7$W4yvw2Y`)o{UQy}yJjrZjh8[Y4mq(vVnER!)-F1RZ޺c NOCg7N >bZoo=A^ϫLYT좼{;T*=M488o-nɯSq2+4V;3N5WyUs*ueDù aaw})NI!{-60PpʥA]DdGpkWNoyMX%ؗ0Æ\p UջViGZ TxK !E">`ZIUUfߌM_ѧLXC|C8C9w՝7'fo;0eڃݴ{׏w7apq?h W&N1)ZJU}rlFS|oww3[U{73h+(lW&NϪ-4Vm^+'[AqIn#yC.6'Σ?2qea *ýc#CGm{mgL2g qy(wMxH2qJ^[svw7sK9kOjxlRun:5woӣ}ϩu(00RiGFo]2lNd߳}9Q`m {.c:qlrGK97}8RXr*$NDC[V^_AdW>61#}t L9q3)#;kBՇ Ͱz wQ:5,ipAvXe.m #n9`LŻ릺Ʋ~ʌ&9Y`VSوn]'$s_/RȨ0VlϑB3[QȌNq2pZ2u4gj&:qFQoN*Kӑ;u6~XSR,S73N'p-.[7`FU gLuAxxQ䒨N4i Q OrapG^S P(]1','lȥ]]wUȜ.HB*BgO~vCŜd-N5cppWz\LCm$1xTɌsUUʉa w+[:8VqX:TG< xBmـ禷q<)a'C0ORwo_S$HwK5asb-h%s9k܇^q;v;89oљJ'6([z?1d0,H;7TD^79U^pdɇOR5Ӧ 3`o^=0^&tc8)J{nI=*.sUSdm;kܬïw)̝nm2kZ2͛%stwco2i05ʼnZ?UhD{{U5HrERhm{+$ΝOVaw!@Kp:/L4>C99]]wd_DI NGn49*뽔cr"ΐ8+Mo8'wpY3`688mL]O6zsRK;li5Né#T] ?yxx!"u~ZO^}64۵k!GTğ龉 6rRh[;e^ I'F>C#3$^mTZש"NBs*DﴟS9IҥS%gr6攪sϜp0xfg\R+& pN"ͩzYsgMĝy׋98UC{Rt.,V%g*9UYJbUrXŪ,V%g*9UYJbUrXŪ,V%g*9UYJbUrXŪ,V%g*9UYJbUrXŪ,V@J2\0SIENDB`$$IfA!vh#v #v:V s  t 0n(5 54d4 saApytx$$IfA!vh#v #v:V s  t 0n(5 54d4 saApytx$$IfA!vh#v #v:V s  t 0n(5 54d4 saApytx$$IfA!vh#v #v:V s  t 0n(5 54d4 saApytx$$IfA!vh#v #v:V s  t 0n(5 54d4 saApytx$$IfA!vh#v #v:V s  t 0n(5 54d4 saApytx$$IfA!vh#v #v:V s  t 0n(5 54d4 saApytx$$IfA!vh#v #v:V s  t 0n(5 54d4 saApytx$$IfF!vh#v#v: #v- :V d  t(0n(55: 5- 4daFp(ytx$$IfF!vh#v#v: #v- :V d  t 0n(55: 5- 4daFp(ytx$$IfF!vh#v#v: #v- :V d4  t 0n(+55: 5- 4daFp(ytx$$IfF!vh#v#v: #v- :V d4  t 0n(+55: 5- 4daFp(ytx$$If_!vh#v#vF#vs#vU:V s  t 0(55F5s5U4d4 sa_p(ytx$$If_!vh#v#vF#vs#vU:V s  t 0(55F5s5U4d4 sa_p(ytx$$IfP!vh#v #vk:V s  t 0#(5 5k/ 2 s4d4 saPpytx$$IfP!vh#v #vk:V s  t 0#(5 5k/ 2 s4d4 saPpytx$$If!vh#v':V d t0'5'2d4dp ytx$$Ifz!vh#vQ':V s  0Q',5Q'/ 4d4 sazp ytx$$Ifz!vh#vI#v%:V s  0Q'5I5%/ 4d4 sazpytx$$Ifz!vh#vI#v%:V s  0Q'5I5%/ 4d4 sazpytx$$Ifz!vh#vI#v%:V s  0Q'5I5%/ 4d4 sazpytx$$Ifz!vh#vI#v%:V s  0Q'5I5%/ 4d4 sazpytx$$If!vh#v3':V s  03'53'/ 4d4 sap ytx$$If!vh#v!#vU:V s 03',5!5U/ 4d4 sapytx$$If!vh#vf#vx#vU:V s  03'5f5x5U/ 4d4 sapytx$$If!vh#vf#vx#vU:V s  03'5f5x5U/ 4d4 sapytx$$If!vh#vf#vx#vU:V s  03'5f5x5U/ 4d4 sapytx$$If!vh#vf#vx#vU:V s  03'5f5x5U/ 4d4 sapytx$$If!vh#v3':V s  03'53'/ 4d4 sap ytx$$If!vh#vf#vx#vU:V s  03'5f5x5U/ 4d4 sapytx$$If!vh#vf#vx#vU:V s  03'5f5x5U/ 4d4 sapytx$$If!vh#vf#vx#vU:V s  03'5f5x5U/ 4d4 sapytx$$If!vh#vf#vx#vU:V s  03'5f5x5U/ 4d4 sapytx$$If!vh#vf#vx#vU:V s  03'5f5x5U/ 4d4 sapytx$$If!vh#vf#vx#vU:V s  03'5f5x5U/ 4d4 sapytx$$If!vh#v`':V H0`'5`'4 Hp ytx$$If!vh#v`':V H0`'5`'/ 2 s4 Ha+p ytx$$If!vh#v`':V H0`'5`'/ 4 Hytp$$If!vh#v`':V H0`',5`'/ / 4 Hytp$$If!vh#v`':V H0`',5`'4 Hp ytxDDDDDD$$If!vh#v`':V H0`'5`'/ 22 H4 Hp ytx$$If!vh#v`':V H0`'5`'/ 4 Hp ytx$$If!vh#v`':V H0`',5`'/ 4 Hp ytx"4x666666666vvvvvvvvv666666>6666666666666666666666666666666666666666666666666hH66666666666666666666666666666666666666666666666666666666666666666p62&6FVfv2(&6FVfv&6FVfv&6FVfv&6FVfv&6FVfv&6FVfv8XV~ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@66666$OJPJQJ^J_HmH nHsH tH<`< Normal_HmH nHsH tH<<  Heading 1$@&CJ aJ <<  Heading 2$@&CJaJ@@@  Heading 3$@& >*CJaJ@@  Heading 4$@& 5CJaJ88  Heading 5$@&5@@  Heading 6$@& 6CJaJDA D Default Paragraph FontRi@R 0 Table Normal4 l4a (k ( 0No List @>@ Title$$x 5CJHaJH^J^ Subtitle$$hP$6B*CJ0OJPJQJ^JaJ0phfff:: :V4d4 s442#2 :V4d44:3: :V4d4 s44:C: :V4d4 s442S2 :V4d44:c: :V4d4 s44:s: :V4d4 s4422 :V4 H4422 :V4 H4422 :V4 H4422 :V4 H4422 :V4 H4422 :V4 H4422 :V4 H4444  T0Header B#.. T0 Header Char4 4 "T0Footer !B#.!. !T0 Footer Char6U`16 T0 Hyperlink >*B*ph@ B@o0Revision$_HmH nHsH tH:S: :V%4d4 s44%2c2 :V&4d44&:s: :V'4d4 s44':: :V(4d4 s44(22 :V)4d44):: :V*4d4 s44*:: :V+4d4 s44+22 :V,4 H44,22 :V-4 H44-22 :V.4 H44.22 :V/4 H44/22 :V04 H44022 :V14 H4412#2 :V24 H442Z^@2Z R0 Normal (Web)3dd[$\$CJOJPJQJ^JaJPK![Content_Types].xmlN0EH-J@%ǎǢ|ș$زULTB l,3;rØJB+$G]7O٭Vj\{cp/IDg6wZ0s=Dĵw %;r,qlEآyDQ"Q,=c8B,!gxMD&铁M./SAe^QשF½|SˌDإbj|E7C<bʼNpr8fnߧFrI.{1fVԅ$21(t}kJV1/ ÚQL×07#]fVIhcMZ6/Hߏ bW`Gv Ts'BCt!LQ#JxݴyJ] C:= ċ(tRQ;^e1/-/A_Y)^6(p[_&N}njzb\->;nVb*.7p]M|MMM# ud9c47=iV7̪~㦓ødfÕ 5j z'^9J{rJЃ3Ax| FU9…i3Q/B)LʾRPx)04N O'> agYeHj*kblC=hPW!alfpX OAXl:XVZbr Zy4Sw3?WӊhPxzSq]y ++2 1114u .@){.0233$*/6?FIKNQTLo ? m : J b&x1@6X|!"--~.011233 !"#%&'()+,-.012345789:;<=>@ABCDEGHJLMOPRSU@&8/%e%%*&Z&y&'U'''#(m((((***+XXXXXXXX',.4!l,b$ x+cxYq]7@(    FA?"image1.png#" ?  6!e!e"3"^L?PK!8[Content_Types].xmlAN0EH%N@%邴K@`dOdlyLhoDX3'AL:*/@X*eRp208J妾)G,R}Q)=HiҺ0BL):T뢸WQDY;d]6O&8* VCLj"󃒝 yJ.;[wIC_ :{IOA !>Ø4 p;fɑ3׶Vc.ӵn(&poPK!8! _rels/.relsj0 }qN/k؊c[F232zQLZ%R6zPT]( LJ[ۑ̱j,Z˫fLV:*f"N.]m@= 7LuP[i?T;GI4Ew=}3b9`5YCƵkρؖ9#ۄo~e?zrPK!p9qdrs/e2oDoc.xmlSێ0}p i YUJUiFc%cc'ݴ}[33vwӠEF4[M+?JJgehQӫpnnMoT+ vhk{o$qs+cbg``S8%-i1  ׇH߻ OTMQ+ĵ k߱/2T Lj?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdeghijklmnopqrstuvwyz{|}~Root Entry F`xoy@Data f"1Tablexr:WordDocument SummaryInformation(DocumentSummaryInformation8MsoDataStoreoyoyERERETQSNBISNBIEQSNA==2oyoyItem  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   F Microsoft Word 97-2003 Document MSWordDocWord.Document.89q