【赵礼显数学】2020高考数学 赵礼显数学二轮复习寒春联报班
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**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**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**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**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**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**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**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**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**3OWzXOehijuMNXAJo45uNkMLXuJ4SQOuW527h4LctivNkGk0+mqyk1LaWxU3FQUU9TVT1ksreKd8zHAjgA7i7HsAV+rsN5o7JSacsNQIaN/MZNXyuBkp4i4kMjb3nB4QT0wtv2TZBqdfa6u2UVDb7Fp+kqo6KAtpZ56kMMDyC0n0STsckjqpjTVqdY9NW21ve2R9JTMic9owHEDcj61KbL1**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**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**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个人简介
高考数学押题名师，12年教学经验，所带学生20万，平均提分30-50分！
教学经历
2018年05月至今
“跟谁学平台”一线**数学名师
2016年01月至2018年04月
“猿辅导”高中数学一线名师
2010年08月至2013年08月
“新东方”**数学名师
2007年06月至2010年08月
“学大”数学教师
教学成果
12年高考教学经验，熟谙高考命题规律，年年精准点击，押题必中！
高考原题18年压中40分，19年压中50分，同类型题目140分，跟着显哥带你玩转高考题型，秒杀试卷！
授课思路清晰，善于总结和归纳高考题型，在高考这个题型称霸的赛场上带你冲出层围，取得胜利！
善于培养学生数学思维，曾创造省重点中学全班数学平均分135分神话，取得高分不是梦！
├─【2020高考数学】寒春二轮补充课节（完结）
│├─电子版手写讲义
││├─函数详解及历年真题分析.pdf(4.85M)
││├─立体几何详解及历年真题分析 -概率统计.pdf(8.45M)
││├─三角函数详解及历年真题分析.pdf(6.09M)
││└─数列-向量真题详解.pdf(10.50M)
││
│├─01.函数详解及历年真题分析.mp4(778.67M)
│├─02.数列详谈及历年真题分析-1.mp4(861.18M)
│├─02.数列详谈及历年真题分析-2.mp4(420.92M)
│├─03.三角函数详谈及历年真题分析.mp4(1.10G)
│├─04.向量与不等式详谈及历年真题分析.mp4(902.44M)
│├─05.立体几何详谈及历年真题分析.mp4(1.24G)
│└─06.概率统计详解及历年高考真题分析.mp4(916.56M)
│
├─【二轮春季班】2020高考数学二轮复习
│├─01.数列高频题型方法梳理
││└─数列.mp4(1.10G)
││
│├─02.数列压轴题解题技巧
││├─2-1.mp4(837.59M)
││└─2-2.mp4(121.87M)
││
│├─03.平面向量线性运算+秒杀技巧梳理
││├─3-1最后3分钟卡了.mp4(675.77M)
││└─3-2.mp4(282.81M)
││
│├─04.平面向量数量积知识清单+秒杀技巧梳理
││├─1.mp4(315.19M)
││├─2.mp4(522.93M)
││└─3.mp4(186.99M)
││
│└─05.不等式高频题型方法梳理
│ │
│ └─不等式.mp4(1.12G)
│
├─【二轮寒假班】2020高考数学二轮复习寒假班（赵）
│├─寒假班课堂手写笔记
││├─01.函数高频题型方法梳理.pdf(11.56M)
││├─02.函数压轴题进阶技巧.pdf(10.09M)
││├─03.备考高分锦囊——函数篇.pdf(12.52M)
││├─04.导数零点及拉日定理.pdf(12.11M)
││├─05.导数不等式解决方案梳理.pdf(11.18M)
││├─06.三角函数知识清单+秒杀梳理.pdf(14.42M)
││├─07.三角函数知识清单加知识梳理.pdf(13.87M)
││└─高三寒假结课测试讲解.pdf(12.17M)
││
│├─01.函数高频题型方法梳理.mp4(321.99M)
│├─02.函数压轴题进阶技巧.mp4(349.26M)
│├─03.备考高分锦囊——函数篇1.mp4(325.53M)
│├─03.备考高分锦囊——函数篇2.mp4(319.10M)
│├─03.备考高分锦囊——函数篇3.mp4(197.52M)
│├─04..mp4(119.63M)
│├─05.导数零点问题及拉日定理.mp4(498.71M)
│├─06.解三角形常见思路梳理1.mp4(361.68M)
│├─06.解三角形常见思路梳理2.mp4(619.98M)
│├─07.三角函数知识清单加知识梳理1.mp4(345.98M)
│├─07.三角函数知识清单加知识梳理2.mp4(585.19M)
│├─08.寒假班补充赠课1-1.mp4(313.63M)
│├─08.寒假班补充赠课1-2(1).mp4(401.72M)
│├─08.寒假班补充赠课1-2.mp4(401.72M)
│├─09.寒假班补充赠课2-1.mp4(346.03M)
│├─09.寒假班补充赠课2-2(1).mp4(284.25M)
│├─09.寒假班补充赠课2-2.mp4(284.25M)
│├─09.寒假班补充赠课2-3(1).mp4(448.85M)
│├─09.寒假班补充赠课2-3.mp4(448.85M)
│├─4导数零点定理及拉日定理2(1)(1).mp4(486.19M)
│└─4导数零点定理及拉日定理2(1).mp4(486.19M)
│
└─【寒春期末冲刺】2020高考数学专项班
│
├─01.名校经典模拟题精讲（1）-1.mp4(133.78M)
├─01.名校经典模拟题精讲（1）-2.mp4(415.90M)
├─02.名校经典模拟题精讲（2）-1.mp4(200.92M)
├─02.名校经典模拟题精讲（2）-2.mp4(218.83M)
├─02.名校经典模拟题精讲（2）-3.mp4(336.92M)
├─03.名校经典模拟题精讲（3）-1.mp4(422.16M)
└─03.名校经典模拟题精讲（3）-2.mp4(542.08M)
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确实是省了不少的银子 梦寐以求的资源啊 ，终于找到了 gaokaotiku.com 真是不错 ，，，收藏ing来一起收藏gaokaotiku.com吧
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