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yFsNT7gjAoArg809TzzUYPJpc5NAFjzCxwOgqZGzVUE1NGapCZOx4plKTxTaGCPpc9KiqQ9DUVeTI6kSx/dNPPSo4+lP7UdAGCpF6VEDRLcw2sDSzyBFA6movcYXgD2c69fkIP5V836nGRqVyuOkrV6p4j+IBCtaaYgcnguD/9avO/NzMZLtAzlix4x1ruwtGau5aXMak09ipZWUI+ac8kZGeKLhnViAWVMYHarMqpcszQkg/wp/8AXqOMqshS55Ar0VHSyML6hsS5QvIwR8ZyeM+1VJJHiGEyoB6Gp7pJFIdSCg6Y9aD5c0KiQbZD0b1PalLsCO00e6Fxp8fzAkLjOavq0gUlTz6Vxug3jWb+S7AjPHNdrYzRyHJOR6V4NWl7ObPZo1OeCZHalGut95JkjgKTVzVoG1BFKsQB02nH8qgvNE+2yecrMgHpUSXmqWTASQrNGD1X/CqVm1bcqKk73I7G61bRSI7WRjF6E5z+daMWp6xdaihuZFEHdQBz+OKqPrNnI+6e1nSUdVVcj86VtWjdGNvbyhsdxWk4J68uoXqRWstDXe6/svUQ0LEQyfMVByMn61du9b82LAJFc3aS3N8m6ddqryM0TzLDE0jnCIPWud01exartxuc74rm+0XwJZflH3c8g1zcRb7RvdW2j71T6lNJPKZpAwLnOPSmhTFabyeX6Z7V7lGnyQUTxak+abkWHkVyiRgqD2xnNSTWunk5dN7Yx1wM1HYXSxQu8qBmGAvtU9skN3JsOUOd2cZ962UUzO5WbSoVxiE7jzjJzUbaXHcf6oEnHHWtVIzPdM4k2xoNu4jv6VZurmJ4SbRApXrj0p+yVg5jirqzns5SsqMvPUjFRDiuoaE6imyc4z91sZya5yeL7PcPGf4T19awnDlKTGr9KsItQo3YA1ajGRSQMQjAplSuuBUdDBH0mTwaizSluDUW6vKkdNyxG3FOL8VAjcUF8Dk1LegxtxdR2sBmlcKg4ya8s8UeKLrV7gwW7lYeuEbAP4fjUvjbXJbq7NjbyFYxwSOuea46LKyl9x49K7cNh7e9LcxnO+iHr5ll83IYntUscgvABJjJ4BpPtjPneqlTxyKbKixlUhB+YZJ7ivQVl6GIsg+wvhM7uzZphRrwArzL/d9adE2/91LwD/Ee1IHFvJiJ9zZq7X9BEY/cja5HPG09qiaJjdRLI2IyR83XHvUl+Wa4bzAAw7L0pkissqBSxAGRmpfZDRHIxtr9lV8hcEHHWun0rVdpTceDXLXSn7awPUqOtS2cjKxjJOR0xXFiKXNqdFGo46HsNhcpcwKvY1W1DSdStszWTFl9j/SuO0jX3tHCOc4rurHxRGYwC+e1eXKnKnK6Vz0oVFJbmHBPrBbBtg/ODlRWva21zIwM6BDjoMDFaw1u1MZJYDPbFc9qviOOMt5TnPahudTRKxbmoq7lcZqNyLKRkUjnrzXG6vrvnyCCP5o+r+lVNZ1iSecoGOX71lQMMvldxPc16WHoJWbPMrVm7pFyRpbicAZz1UHpinzTByVZAVXA49aIp3W3Vtqkg9SKbAgeCfIyQc16NzkLVxDbpawouVdslu/pUlr5cNvcMkwLsB5Z79f04plpbSTXaFlG3GPmpkscNtfzK44DHA/GtLaXsInExurdYAAsh4IXjd7mkiSUQtNykXQ54z+FQQvDHdh2DLED/Ca04pH1e5lkm2wRFTwnAzQveDYqwBprRgu7zUO4AHGB14qjrFrFDHFdMpIfIOPUY/xrRhuDa3AjgxISdpJ6GmXYWe3ngm4P3l9jUzhzRsNOzMJbu0VcCE59acs8bdFxVADHBHNTxr7VyJlMsOwIqGnNkCmfhQ9xo+jS3BqItinE8VATXkTZ0omVuKzde1A6fpE0y/exgfnirqHtXL+NdTtrfThbO4Mrfwk+9KiuaaQS0R5xJIJmklY4djUQlaO3MYGPepDDJMysfudjjAqNH33WzpGeOle7axyktnGjozscFfuk9M1WuA4kJz8wOcjpVi8HkkRRYMI5LA8fnUIid8HHyn+I9Kb7C8xba8eO4yTkMMYP0pxnZMgIuQajMCRLvJDEMMgH3xVi6SBXIBZc9Mc01e1gdivd3H2mdpJFHNPu2QeSYgR8uDmkuoI455EWXOD3qKWUIAjIGPQHNDv1AqylnlzknpSl9s24A8daduXOTHyPeopjsmVwPlYVlJFI2IlE8YYc5p6ieI/I7CqNlcCNwFPFbaX0QA34z7iuWSaZ0xaa1IBLeOMeacVHO/2eJpJGLPjjNXXvlZSEQexxWFfszuSSfrSinJ2CTSVykm+a43vxk1PI6WzkdTTIvkIduQD0pt2fNuQcYrsirLQ5Wbdp5MmmvuQrtfkr9KWBo4pZBEpy0TAMfpTtNiX7LcxNLED1HzCnW0Ea3lvvmVlZgpAPQE11JOyZBUMrllLMTgjrTrmNpLln6AjOWqS5aCOWRFiLEP1bIxUN0HaZAM/MgIH4Un5gT2McRn8uRVk8xdoI7VGJW83cx5U8g1DAJFmXYCHU9fStbUo4IWSdMOXXB+tNJtCe5HdxCTy7pTgMOh9uP6VNcMs0aPAu4Mu1x3Bqp5nn2LF2CyRnIycZFRWshjjY7+GOcA5p36ILGJPEYrqSMjBBP86kjU1Y1TYbtXTOGUHPqabboHIFclvesaX0I5cgc1HVm6iCHAOaq4FTJWdgWx9EMeKgJqQnrUBNeHM7EhJrhbe2klY4CjOa8b8Q3D6pqkk3m5XJ2jPbNd/421E2mjNEhw8np1/zzXlwgleRSM84Nd+Cp6OTMqr1sSeZPaYR23qR0q8Ybc2onikzI3/LMdh65qjKGMhVwT6cU+5hFo8aw5VlXDCvRWhzj4Fd3EZ5Unkegp87CUeVGcFP4alt7iF7RypAuj1A4x+NUHRzONhIkzk/T61XQBMM4IUEHjI96sSpI88Axk47VHeylTuiK+WVGcDHNFpJIZ4TvJP1oVr2YEl3Ex1GVSuPn5zUcsHm3LuhXaAABn2qXUriWS5ny2ctxiqka7U6c4zTdr2Erj5bRo+rLyKjkt99srbhwxFWLlQYonHQ5qNUzay8H5cHp70NLsNFMB4/mUjjtWlbSpOvPVfeqsduZMqFPzDjioUSRX+QMPUYrGULopOxvbAqNJnAAzWPPP5jBOuW4qczSNEYXJUgetQxxCO8jDLu70qdNoqc7kc6Mk21exweKWcv56g4/Kr7LBNcEtlcvnP40l9FbpdfLIWI7YNb8uj1MrkUZKyPtzhlqzb72liKoSdwx+dRtcfvgFjVfoKdHdTDAVsAHt9a0skInvbWRLkh8LnByTUd7NEskSK24qigsO3SpdVcve5ZywMa8E5rLC5dmOMdKcnbYEad2whdfJGA65Le9NE6Pp+xs+YrZye/WmFxNAkch2lTgnvV4/Y00iNxGzsJAGJPOcGna4inZxo7SmU9YyQPwqSwiM8kibSAQcE+1S2MiTXTKIVUFCBkA81HHPL9oMSMFK5Hy8UJICrqduUghkxwDg1Vts7hg1o3IMmnOpOXRu596p2YIYZjB/KsJq0y+g265kqtir12q7zhcVTwKxqfEyo7HvzHg1ATUrHAqAmvCkdiOC8cT+depDn5UGT+lctDKXmJHCoO1b3iqRF1WVWGSawQI44GLKRu6V7eHjamrHJN+8yBXke4B6ktVqa6jnnk8yMA5xxTtPjh3tLvK7Bk5qq1tKzHZtcnsDXSrojQtTadH9jjmgcCQnoevWkgmj+ySLLxdH5V9KW9DjyYyjKyLzntUQUSWM00mS0ZAT8c/wCFUtxFB12I8cvJU9B9av2AgaeDKyDnsRVWSaKS1MTD9/kYx9eamh3QNHJj7p5qVvoAtzt8+RkDgburURSlvMzGhwh6j2p7NC8CuXIZzkZ9KntLUGwuZVlTG4Lyfars76CEmn3aXEfJiGCRwD7e9QwSsY7iMBeVH6c1aNoo0YM0ycN2NQW0UfnMPO6q38jTfNoGhFY3MizxYbqeRUV1vW4kAc8HtUlosCNEzSHg0/UzbxzS7N5JPoKzs3HcrqUMsw+fPPep7WMyXS4YZ2mrCRRNpsbuclDyo+tVBhrn5VCqAcUOPKrsL3LqWs4ZT5ZILDmkubd5tTWEKQWbBqO3b5kIODuH86s6hcTrfn96eDVrlaJKskHlXG2SVQQakVbZY3LyMeD909aZqIA1OZoxlC2aTypPMYBDzj+VN6PRAX9UnjTyfKi4ZBy/J4rHQhpSSMfN2+tXp4ybeEyMFA3YH5VVRVVQ5+YHgCnNNsEXLwYmTA6oDx+NXYLOebRphsKmOUNlvoahnuG+y28kfy7RtwKNPcvJPGzZMkZVc9M5H+FUrXALaNY7mItOgYkDaOpojNvBfb8Ox34IJGOaqwqROrBT8rfyNX76zm+07yhG5QeaF5IQtygE9wixgK2Sp74zVCziKyDOcVqBd5hDuo+Xb9MCqwiEErfv069yayqqzUmNdineYEhGDVHPtV64AJJ3LVL8RXLJ3dzRaI94Y5BqDNSnoaqXEgigkkJxtBNeH1OxHnHijDa27g5APQVlyNHcuqBiAOnFTajO1xfysBnJNULeOX7Rux0ya92knGKRxy1ZddIoongWQfMeT7elQAR2o3s+7+7tNQvHJJJyD8x/KnXMXlSCPOdvFb/IgR9VnlkaTaxwOSUofVY5bEQLbkSFstjPNWreQx6fMxVSpYLyKZB5U0uDGFwpORTSfcDLuWjdVIysgYgimMzuQgY/nT7v93KrrjBOajibzbxC3y89qye5XQv3EMkZRWjYBR3FSo4XTivTdIDj1qvc3L+exRye3PNTxXcgijUhD1PI961TVyehMuDpDD/bqO1Qm5HH8LfyNWPtsh06RQEHzD+Gm2d1ObkA7Ojfw+xqnYRTSFwoIjY4/wBmnanC5vGBXYOpDcUrXMuMbvyFRXrmW4LMWY49ajSxRPp5DytbsNwlGAB2boKjZXsrsxzLyM8EYpyXRjiVY0Ckfxd6L4pOyzmQh2GCMZ6VTtyiW5Ys5rZnQPCfvDkE+tT6qbYai+1WIz05qhaRPvjcFdu4d6san817IV5+lXGT5dhNalW4umd2KgKv0zUk00quG3YBUdvaoJUiVMmUg+m3/wCvVi8e2ihhfLOxX0xSbfVgQPuaxjkOTywz27U6NGezQgdCc0xJZZ9LKLgIj5J+v/6qlt3zZzLuzggcd+aV1dAXYI4206VJHJKfMoHOKdZ3kVvdQlYRy2CSeBUNgsnnNGUYJINuSOlIbSRCyyMiEHHXNaJu2gizezyrdSRgBAecADoeaW5uHuNPjdnJkQ7c57U++S1a3t7hpi8pG1lC/h1+lJZPA1vNCsPJAYEtnpmq16sCGM7YEcHJVvrVqTyuG8vlhkmobeR5kkjVQGxkDFKpmK/MAQO1ZVElEaKVyY9pwOaz6vXWQDlMfjVCuE1Pdz0rE1+4+z6TMc4JBA/Kto1yXjK4Edkkf9415VKPNUSOmTtFs4QMw3yFjkmnREpA8pY5PTmlaQErGEFSXE0S7YvL4Uc/WvdSRyMjsZJPtKHduA5IPNE9ylxcO7xDGf4eKnto7cWss5coR2NV4IUlcIjEt1P0rRXSJLd2bW30uBcOrPlsZ9zyaoBZYYTIB8r9DS3SyzXAd1+UfKoHT0pbmTY6x5+VBk/jQ/MDMumXcFOchRUdq+24Q4zg9DRNIJJpZOOv9aIGQyfMMY9K5+pZYMsLEkxEZ9DVgrF5kex9uF6GqixBl+WVTUtxC8d0BjIAHI+grRNiNOCGE6dIWnG7cOx96ksVtRfLmQkbW7H+6apxqyafnaeWpbdZPtS7UJJB/ka1T20JIna2GeHY59aJZwrkCJTnuQKilt5FJ3jbz3qaWKLOGmGcUrvUNCeW02KkzsqxsOgqnMqu37lSVHepCwltcbtxjPUVBveMYBKg/rQ2gQqgxyBeQTg04Tul22G6tyD3qVJwlxGJE3Aov41BdMhuGbYVG7tU7LRjJrmXbczI0SHB4wBTrqdWtoiIl4BHIHrSXEcJuHbzxyc81FK0AtAC5bB7d6vXUkiSVnikQYC8fKvAotUkMY8h9rg884qOOX76xrgEdabbBzyM5rNvYo1EuL6FBM024q2Mbqc00F1IZC/lyHqpBIxT7aL7XptwAn7xPmFV7cRpNh0+8MVrroSXoCr2M0O4FlbMfuO9S2dtLHcr5mIwRySRWV9nnky0YKKCfm9KmvBdwrHI8wlDDjHbFUm92hGnJCtlcmQOTljjb3qSdhKd0Y2DHQd6pWFyt1bPHK43DGPbmrEqskWQQR6ipqu8bopGdeFgOXzWfk1ZuWJPWq3NcLND3evPfGE3m3yR54WvQD0NeXeJSf7Xk57f0rgwcU6lzep8JRtIkeZnDj5RUBjR7n95IApPWiDiJ8ehqIgGOP6CvYOVk9yQ8iw2+XXufeiN57QSlVjJZduM/wCfSn2XF6uKz2Y/aDyetV5iLMU89tsmZ0U7gdmT60SP9tSWVzsPt3p+ogbE4Hao5BjTxj3pO60GjJVURWByeeopY0Vm+U4+tMH3D9aI/vH6VgUPVHBGVPWpZpGW5LAlTx/Km2hJcZOau3SjzDwO38qtbCAajcCwCCdutMguJZ7pd8rMMH+RprgfZhwOtWtMUfaRwOh/katXutRFBss+Bk81dvIZVlx5ZxikYATcAVYu2YzHk9PWrUdHcVypHgyKBGAdu3J65pmUR2WVS2KdEf30X+8P51Hd/wCtao6XH1LEwhee3EZC/IM7u3FMntzvc+bGRnsT/hUB/wBbD/uj+VEv+ub607oCWeGXKfIeVzUZhYWz7iBz0zzTpnby4vmP3fWq0jEwHJP3hT0QiS3kjjkJ27vlI5pltNLEzGL73PSo06j6GremAeY30P8AKs227IofDPNGRIU3gjn1qW3v5EdYxnBPpTLf+L61atVHndB09K0je+5LLr2K3Fol3HMu5iQ65564p9nAZIntXdCcErk8e9Ylq7Ce6UMcZ6ZrRsCftfU/6tq3i0+hD0GNpwcOyFdwHGDSW87m2aKQEFeOfSk09m+2EZOOe/sasIAS/HapnFOLaKRlztmmhTgU6frTh0FebI2R/9k=
دکتر رضا قنبری
دانشیار
دکتر رضا قنبری
دانشیار
دانشکده علوم ریاضی
ریاضی کاربردی
طرح درس (براساس سرفصل)
# عنوان توضیحات
1 جایگاه درس در برنامه درسی دوره درس اختیاری دکتری
2 هدف کلی آشنایی با حل الگوریتمی مسایل گراف
3 شایستگی های پایه مبانی منطق و ترکیبیات
4 اهداف یادگیری حل الگوریتمی مسایل و تحلیل درستی و پیچیدگی آن در نظریه گراف
5 روش تدریس مساله و پروژه محور با استفاده از منابع باز اینترنتی
6 وظایف دانشجو حل مسایل و پروژهها
7 منبع "Introduction to Algorithms". MIT Press. Retrieved 2017-07-02.
8 مواد و امکانات آموزشی کتاب و آزمایشگاه
9 نحوه ارزشیابی تمرین و پروژه و آزمون کتبی و ارایه شفاهی