人工智能本碩博培養(yǎng)體系

CONTENTS

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目  錄

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第1章

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本科生培養(yǎng)

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001

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1.1 智能科學與技術專業(yè)培養(yǎng)方案

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001

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1.1.1 培養(yǎng)目標

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002

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1.1.2 畢業(yè)要求

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002

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1.1.3 學制與學位

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006

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1.1.4 專業(yè)特色課程

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006

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1.1.5 教學進程計劃表

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009

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1.2 人工智能專業(yè)培養(yǎng)方案

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015

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1.2.1 培養(yǎng)目標

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015

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1.2.2 畢業(yè)要求

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016

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1.2.3 學制與學位

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020

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1.2.4 專業(yè)特色課程

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020

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.

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1.2.5 教學進程計劃表

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023

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ArtificialInteligenceandPattern

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13

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人工智能與模式識別全英專業(yè)(

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RecognitionFul-EnglishTeaching Major

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033

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)

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1.3.1 培養(yǎng)定位

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033

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1.3.2 培養(yǎng)模式

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036

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1.3.3 培養(yǎng)方案

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038

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1.3.4 培養(yǎng)課程

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042

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..

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ScheduleofTeachingProcess

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045

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135

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教學進程計劃表(

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TrainingScheme

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14 通電計相關專業(yè)全英文授課本科留學生培養(yǎng)方案(

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forForeignUndergraduateStudentsMajoringinCommunication,

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ElectronicInformationandComputer

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065

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)

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1.4.1 培養(yǎng)模式與目標

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065

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人工智能學院本碩博培養(yǎng)體系

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1.4.2 基本要求

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066

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1.4.3 學分要求

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067

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1.4.4 學制與學位

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067

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145

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教學進程計劃表(

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067

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..

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ScheduleofTeachingProcess

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1.5 特色課程培養(yǎng)大綱

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076

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1.5.1 人工智能簡史

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076

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1.5.2 Python

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編程和人工智能平臺學習

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080

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1.5.3 人工智能概論

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084

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1.5.4 最優(yōu)化理論與方法

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089

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155 算法設計與分析(雙語)

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093

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..

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1.5.6 計算智能導論

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107

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1.5.7 智能系統(tǒng)專業(yè)實驗

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111

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1.5.8 模式識別

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116

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159 機器學習(雙語)

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121

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..

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1.5.10 智能數(shù)據(jù)挖掘

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136

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1.5.11 圖像理解與計算機視覺

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140

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1512 計算機視覺及其應用(雙語)

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146

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..

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第2章 研究生培養(yǎng)

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159

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2.1 計算機科學與技術碩/博/直博培養(yǎng)方案

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159

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2.1.1 計算機科學與技術學科碩士研究生培養(yǎng)方案

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159

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2.1.2 計算機科學與技術學科博士研究生培養(yǎng)方案

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170

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2.1.3 計算機科學與技術學科直博生培養(yǎng)方案

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179

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2.2 電子信息類別人工智能領域專業(yè)學位培養(yǎng)方案

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190

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23 西安電子科技大學“圖靈科學實驗班”實施方案試行

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197

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24 人工智能與模式識別專業(yè)全英文授課碩士研究生培養(yǎng)方案(

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Artificial

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InteligenceandPatternRecognition MajorFul-EnglishTeaching

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PostgraduateTrainingProgram)

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199

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2.5 通電計相關專業(yè)碩/博留學生培養(yǎng)方案

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204

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251 通電計相關專業(yè)全英文授課碩士留學生培養(yǎng)方案(

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..

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Training

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Ⅳ

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目錄

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SchemeforForeign MastersDegreeStudentsMajoringin Communication,ElectronicInformationandComputer)

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2.5.2 通電計相關專業(yè)全英文授課博士留學生培養(yǎng)方案(Training SchemeforForeignDoctorsDegreeStudentsMajoringin Communication,ElectronicInformationandComputer)

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2.6 特色課程培養(yǎng)大綱

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2.6.1 人工智能

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2.6.2 神經(jīng)網(wǎng)絡基礎與應用

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2.6.3 機器學習和深度學習理論(雙語)

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2.6.4 認知計算(CognitiveComputing)

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2.6.5 非線性表征學習與優(yōu)化

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204

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210

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220

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2.6.6 自然計算

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PostgraduateCurriculum

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數(shù)據(jù)驅動優(yōu)化學習研究生課程教學大綱(

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SylabusforData-DrivenOptimizationandLearning

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245

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)

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2.6.8 復雜網(wǎng)絡與多智能體系統(tǒng)

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250

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2.6.9 SAR

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圖像處理與解譯

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251

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PostgraduateCurriculum SylabusforIntroduction

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2610

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隨機過程(

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toStochasticProcesses

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254

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)

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PostgraduateCurriculum SylabusforComputer

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2611

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計算機視覺(

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Vision

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258

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)

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2.6.12 高性能計算實驗

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263

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第3章

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平臺建設

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267

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第4章

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人才培養(yǎng)

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271

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第5章

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人工智能教育創(chuàng)新實驗室

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274

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Ⅴ

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