ࡱ> SVR[ /bjbjLL 04&b&b  D<\6.i< 5555555$,9;b5E56ooo 5o5ooq1a3O7:25,60\6+26D< fD<,a3a3&D<3o55o\6D< B `:  Applied Quantitative Reasoning (AQR) Proposal Form Faculty Department FORMTEXT       Instructor(s)  FORMTEXT       Subject:  FORMTEXT      Course #:  FORMTEXT      Date Approved by QR:  FORMTEXT       This form should be used to propose an Applied Quantitative Reasoning (AQR) course. Use this form in conjunction with your Curriculog submission for new courses that also need CC approval. Course materials must be submitted to Curriculog by September 15 for spring term approval and December 15 for fall term approval. If your course does not need CC approval, email (word document or pdf only) one copy of the AQR proposal form and the course syllabus to the Quantitative Reasoning Director by September 15 for spring term approval and December 15 for fall term approval. 1. a) Course title  FORMTEXT       b) Catalog description: Copy the catalog description here. Make sure the description specifically mentions the quantitative reasoning content of the course. Catalog Description:  FORMTEXT       2. Attach a copy of the proposed syllabus, which in addition to your own learning goals must integrate the AQR goals (see below). Course Goals [to be included on the syllabus]: This course is an a@BN^hjlƽyaKyBh\w5CJaJ+jhh:5UmHnHsH tH u.jhh:5UmH nH sH tH hh:5mH nH sH tH (jhh:5UmH nH sH tH h:hh:mH nH sH tH h:mH nH sH tH h5CJaJh5CJaJhyh\w5CJaJhu5CJaJh:5CJaJhc]5CJaJhU5CJaJlpokd$$IflB 6`044 layt\$&`#$/Ifgd\ $ h@&a$gd\w p^$U&`#$/Ifgd9$U&`#$/Ifgd\ $ h@&a$gd\wokd$$IflB 6`044 layt\       ( * , ВЂ~ul`\L?2jhh95UhQ)5CJOJQJaJh&fh\5CJOJQJaJh&fh&fh&f5CJaJh\5CJaJh\w5CJaJh\hh\5mH nH sH tH +jhh95UmHnHsH tH u.jhh95UmH nH sH tH hh95mH nH sH tH (jhh95UmH nH sH tH hh\mH nH sH tH h&3mH nH sH tH      zmcM h$&`#$/@&Ifgd] h@&gd&f $ h@&a$gd\wkd$$Ifl0E  6`U044 layt\  R pZD h$&`#$/@&Ifgdu h$&`#$/@&Ifgd9$ h$&`#$/@&Ifa$gd9vkd$$Ifl)) t 6`0644 lap yt&f, @ B D N P f h j ~ ڸڸ~tobtStGCh~h&fh\5CJaJjh5UmHnHujh5U h5jh5Uhu5CJOJQJaJh&fh&f5CJOJQJaJjhh95UhQ)5CJOJQJaJh&fh\5CJOJQJaJ#jhh95UmHnHujhh95Uj-hh95Uhh95 2 3 b d YLCC:: hgdQ hgd: $ h@&a$gd\wkd $$IflFT)@  t 6`06    44 lapyt&f  E U 1 3 ^ q x ~  ` b d h 繩yi\Lh5"}h\w5CJOJQJaJh\w5CJOJQJaJh5"}hQ5CJOJQJaJh^h\wCJOJQJ\aJh^huCJOJQJ\aJh^hQCJOJQJ\aJh^h:CJOJQJ\aJh^h:5CJOJQJaJh^hQCJOJQJaJh^huCJOJQJaJh^h:CJOJQJaJh\5CJaJd 4jnvx,y $^a$gdl-0^gdl-0 hgdl-0* h$d%d&d'dNOPQgdA hgdm_* h$d%d&d'dNOPQgdM hgd\w 6 ƳҝҎ~qdW~J~J>huCJOJQJaJhV$5CJOJQJaJhu5CJOJQJaJhB 5CJOJQJaJh\w5CJOJQJaJh5"}h\w5CJOJQJaJh5"}hMCJOJQJaJ*jhdCJOJQJUaJmHnHu%jhdCJOJQJUaJhdCJOJQJaJjhdCJOJQJUaJh5"}h\wCJOJQJ\aJhM5CJOJQJaJ6 8 (*46JLNXZjlnptٺyj]M=0hzCJOJQJ\aJh^hl-0CJOJQJ\aJhN hjf5CJOJQJaJhx5CJOJQJaJh:Nsh:NsCJOJQJaJhMCJOJQJaJ*jh:CJOJQJUaJmHnHu%jJh:CJOJQJUaJh:CJOJQJaJjh:CJOJQJUaJh5"}hm_CJOJQJaJhm_CJOJQJaJhxCJOJQJaJh_V#h:CJOJQJaJ(:DJtx*+,,,.......ҿyj[Ij<hxCJOJQJ\aJ"h_V#hl-05CJOJQJ\aJhx5CJOJQJ\aJh_V#hl-0CJOJQJaJhACJOJQJaJh^hAOJQJh^hACJOJQJaJUh^hxCJOJQJaJh^hl-0CJOJQJaJ%h^hl-056CJOJQJ\aJh^hxCJOJQJ\aJhzCJOJQJ\aJh^hl-0CJOJQJ\aJpplied quantitative reasoning course. Students will develop and use quantitative skills in an applied setting to consider, model, and solve discipline-specific or interdisciplinary real-world problems and interpret and communicate their results. Upon completing this AQR course successfully, students will be able to do each of the following: Use statistical and/or mathematical models to characterize empirical data; Understand, model, and predict the behavior of populations or systems; Interpret and communicate results orally and/or in writing; and Use quantitative reasoning for informed decision-making. 3. Include a brief description of how the goals above will be covered and will be assessed. Description:  FORMTEXT       ,,F--T...//////gdl-0* h$d%d&d'dNOPQgdx hgdx hgdl-0  & Fd\$gdA $^a$gdl-0 .*/n///////////////ַ֤} h_V#hl-0CJOJQJ^JaJ*jhxCJOJQJUaJmHnHu%jhxCJOJQJUaJjhxCJOJQJUaJh5"}hxCJOJQJaJhxCJOJQJaJhxCJOJQJ\aJh_V#hxCJOJQJ\aJ.:p?/ =!v"*#v$% $$If!vh#vB:V l 6`05Byt\D DeptProgram$$If!vh#vB:V l 6`05Byt\~D Instructor$$If!vh#v#v:V l 6`U055yt\$$If!vh#v):V l t 6`065)p yt&fxDSubjectzDCourseNoDCCapprovedDate yyyy-MM-ddUThe date format to enter is YYYYMMDD. For October 01, 2013 you would enter 20131001.UThe date format to enter is YYYYMMDD. 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