人工智能與數(shù)據(jù)分析理學(xué)碩士課程旨在讓學(xué)生全面理解數(shù)字時(shí)代的數(shù)據(jù)分析和人工智能應(yīng)用,并培養(yǎng)他們的技能,以最有效的方式使用人工智能和數(shù)據(jù)分析工具應(yīng)對(duì)相關(guān)挑戰(zhàn)。因此,該課程將提供最先進(jìn)的人工智能和數(shù)據(jù)分析技術(shù),并以數(shù)學(xué)原理和計(jì)算機(jī)編程為基礎(chǔ),為學(xué)生提供獨(dú)特的服務(wù)。通過(guò)多個(gè)特定模塊的動(dòng)手項(xiàng)目,學(xué)生們將逐步建立開(kāi)發(fā)新算法和產(chǎn)品的能力和技能
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該項(xiàng)目共需要完成29個(gè)學(xué)分,其中14個(gè)學(xué)分是必修課程,15個(gè)學(xué)分是選修課程。核心課程包括人工智能和數(shù)據(jù)分析課程。選修課程涵蓋了數(shù)據(jù)分析、人工智能和智能信息系統(tǒng)三個(gè)分支,以及9個(gè)學(xué)分的實(shí)踐和研究。CoreCoursesArtificialIntelligenceQuantitativeMethodsforDataAnalyticsandArtificialIntelligencePythonforDataAnalyticsandArtificialIntelligencePrinciplesandPracticesofDataAnalyticsITForumITProjectSkillsElectiveCoursesStream1–DataAnalyticsDataSecurityandPrivacySpecialTopicsinDataAnalyticsDatabaseSystemsandAdministrationDataMiningandKnowledgeDiscoveryBusinessIntelligenceBigDataAnalyticsNaturalLanguageProcessingStream2–ArtificialIntelligenceSpecialTopicsinArtificialIntelligenceRecommenderSystemsMachineLearningWebIntelligenceandItsApplicationsDataMiningandKnowledgeDiscoveryBusinessIntelligenceComputerVisionStream3–IntelligentInformationSystemsSpecialTopicsinIntelligentInformationSystemsBlockchainTechnologyIntelligentDecisionSupportSystemsFinancialTechnologyHealthInformationSystems:ArchitectureandTechnologiesCloudComputingWebandMobileProgrammingInnovativeLaboratoryMScPracticum&ResearchMScPracticumMScResearchIMScResearchII
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