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International Journal of Computer Applications in Technologyhttps://www.inderscience.com/jhome.php?jcode=ijcatSCImago: https://cmu.to/CWHNk8 issues per yearISSN online: 1741-5047ISSN print: 0952-8091IJCAT is indexed in:Scopus (Elsevier)Compendex [formerly Ei] (Elsevier)Web of Science: Emerging Sources Citation Index (Clarivate Analytics)Academic OneFile (Gale)ACM Digital LibraryIJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training.Topics covered includeComputer applications in engineering and technologyComputer control system designCAD/CAM, CAE, CIM and roboticsComputer applications in knowledge-based and expert systemsComputer applications in information technology and communicationComputer-integrated material processing (CIMP)Computer-aided learning (CAL)Computer modelling and simulationSynthetic approach for engineeringMan-machine interfaceSoftware engineering and managementManagement techniques and methodsHuman computer interactionReal-time systems

Chief Data and AI Officer Programmehttps://cmu.to/OG1O6 Join usProgramme OverviewNUS School of Computing has launched the Chief Data and AI Officer Programme to help you lead the data strategy and analytics agenda of your organisation. This programme will teach you the technologies, tools and methodologies to manage data as a strategic asset, generate actionable analytical insights, foster innovation and reach closer to tangible business benefits. Unlock enterprise data value, align strategy with business needs, and become a trusted business partner.Learning OutcomesEvaluate strategic implications and innovative value generation through proficient data managementAnalyse strategies for capitalising on data monetisationExplore innovation and emerging technologies in the domainExamine cyber risk through proficient application of data analytics and ethical considerations, resulting in effective management of risks and complianceEmpower the team through the acquisition of advanced leadership proficiencies in team management, negotiation, influence, and change managementWho is this programme for?Become a data strategist to drive tangible business valueSeasoned executives eager to champion AI strategies and leverage data as a key asset to spearhead sustainable and profitable growth.Senior professionals with a working knowledge of data management who want to foster innovation through the power of data, and AI to propel business expansion and assume CXO positions.Business leaders looking to explore latest opportunities to drive digital innovation and long-term strategic growth. Programme ModulesPillar 1: Data Foundations for Enterprise Value CreationPillar 2: Strategic Levers for Business GrowthPillar 3: Intelligent Technologies and Scalable AIPillar 4: Risk, Resilience and Responsible GovernancePillar 5: Transformational Leadership in the Age of AI

Programme OverviewPROGRAMME FEE: US$5,000STARTS ON: 31 March 2025DURATION: 20 weeks (4 - 6 Hours/ week)This new year, invest in a learning journey to upskill and gain a competitive edge. Emeritus is collaborating with NUS School of Computing to help you unlock transformative career growth. Enrol before 24 January 2025 using this code: APAC200ALL8364 and get USD200 programme fee benefit. Limited seats to success available. Claim yours now.Application fees: USD60Read more at https://cmu.to/A8Tt0With organisations and consumers being driven by technological innovations, such as Artificial Intelligence, Automation and Data Analytics, organisations are looking for professionals with a deep understanding of these innovations who can foster significant organisational impact. This is the time to boost your career. The NUS School of Computing Technology Leadership and Innovation Programme caters to individuals aspiring to drive strategic transformation in AI, digitalisation and innovation domains. Through the carefully curated modules and capstone project, you develop the requisite mindset and skills to implement impactful strategies using global technological innovations .Programme Modules (Module 1-18)Module 1: Overview of Digital TransformationModule 2: Digital Business ModelsModule 3: Strategy Formulation and Process of Digital TransformationModule 4: Digital Transformation Action PlanModule 5: Role of Data and AnalyticsModule 6: ML-Deep Learning and Neural NetworkModule 7: Robotics and Reinforcement Learning Module 8: Generative AIModule 9: AI and Business ApplicationModule 10: CybersecurityModule 11: Other Technologies: IoT, AR/VRModule 12: Innovation Strategy to Address Digital DisruptionModule 13: System Thinking and Agile MethodologiesModule 14: Implementing Digital InnovationModule 15: Building Team and Digital Culture for TransformationModule 16: Managing Digital Complexities and Change ManagementModule 17: Leading through ESG ChallengeModule 18: Technology and Innovation: Security and Governance

Call for ParticipationThe Online Training on UBC Mechanisms and Holistic Career ServicesSpeakers from EU partner in the INNO4Tourism Project University of Macedonia, Thessaloniki, GreeceWebsite: https://inno4tourism.euE-mail: cmu.inno4tourism@gmail.comTraining Programme OutlineModule 1 - UBC MechanismsModule 2 - Holistic Career ServicesModule 3 - Establishing UBC and Career Services: A Guide for HEIs On-siteChiang Mai University, Chiang Mai, ThailandOnlineZoom ID: <To be created by PSU or UOM>Passcode: <To be created by PSU or UOM> Place: Chiang Mai University, ThailandASTRA R&D Innovation & Consulting Hub 3rd floor, CAMT Building, College of Arts, Media and Technology, Chiang Mai University