Kennie Nybo Pontoppidan

Kennie Nybo Pontoppidan

København, Region Hovedstaden, Danmark
7 t følgere 500 forbindelser

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Om

My main expertise is within product development, where I can zoom as far into technical…

Artikler af Kennie Nybo

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Aktivitet

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Erfaring

  • Microsoft Grafik

    Microsoft

    Denmark

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    Copenhagen Area, Capital Region, Denmark

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    Copenhagen Area, Capital Region, Denmark

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    Copenhagen Area, Capital Region, Denmark

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    Copenhagen

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    Copenhagen

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    Copenhagen Area, Denmark

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Uddannelse

  • IT-Universitetet i København Grafik

    IT-Universitetet i København

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    Master Thesis on "How to build an IT Operations expert".

    Get it here:
    http://itu.dk/people/kennie/masterprojekt/kennie_nybo_pontoppidan_masteropgave_anonymiseret.pdf

    Courses:
    Business Strategy, IT Architecture and Security, IT Strategy, Business IT Alignment (IT governance and Innovation Management), People Management and Change Management, Rethoric and Qualitative/Quantitative Methods

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    Appriciative Enquirery, Karl Tomm, Coaching, CMM (Coordinated Management of Meaning), Change Management, Personal Management

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    Took courses on software development, algorithms and data structures, design and test of software, concurrency, cognitive computing and compiler construction.

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    Aktiviteter og foreninger:Studenterkollokviet, Famøs

    Operator algebras, Riemannian and Lorentzian geometry, Rings of Continous functions, Lie groups, non-standard analysis, algebraic topology, spin geometry, vector- fibre and principal bundles and their connections.

    Thesis on Wittens proof of the positive energy theorem in general relativity using elements from spin geometry.

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    Aktiviteter og foreninger:Fysikrevy

    Math: Covered areas such as Linear algebra, multi-variable calculus, statistics and probability, general topology, measure theory, complex analysis, Fourier analysis, diff. equations, functional analysis, theory of distributions and their applications to diff. equations, pseudo diff. operators, algebra (groups, fields, modules), algebraic curves, history of mathematics, differential geometry of curves and surfaces, dimension theory of topological spaces

    Physics: covered areas such as…

    Math: Covered areas such as Linear algebra, multi-variable calculus, statistics and probability, general topology, measure theory, complex analysis, Fourier analysis, diff. equations, functional analysis, theory of distributions and their applications to diff. equations, pseudo diff. operators, algebra (groups, fields, modules), algebraic curves, history of mathematics, differential geometry of curves and surfaces, dimension theory of topological spaces

    Physics: covered areas such as mechanics, thermo dynamics, special relativity, theory of electromagnetics, introduction to particle-, nuclear- and atomphysics.

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Licenser og certificeringer

Erfaring med frivilligt arbejde

  • Speaker

    Professional Association for SQL Server (PASS)

    – nu 13 år 5 måneder

    Videnskab og teknologi

    Always ready to give a talk if I'm around

Udgivelser

  • How to build an IT Operations expert (in Danish)

    This thesis examines expertise within IT Operations staff. Specifically the following three research questions will be investigated:

    ``What makes the difference between a normal and an expert IT Operations person?''

    ``How can you upgrade the competences of the normal IT Operations staff to be more expert like?''

    ``How can you make sure that your experts develop their skills and thrive?''

    Conclusion (read the report for everything in between):

    The main…

    This thesis examines expertise within IT Operations staff. Specifically the following three research questions will be investigated:

    ``What makes the difference between a normal and an expert IT Operations person?''

    ``How can you upgrade the competences of the normal IT Operations staff to be more expert like?''

    ``How can you make sure that your experts develop their skills and thrive?''

    Conclusion (read the report for everything in between):

    The main differences identified were experience, personal commitment and use of intuition.

    To help upgrade the competences of the ordinary IT Operations staff I recommend: let them work with more experienced colleguaes, but make sure that the span between their Dreyfus skill levels are not too wide. Allow the staff to specialise, and make it explicit that procedures can exist in multiple versions according to Dreyfus skill level.

    Regarding the experts: they should also work together with their less experienced colleguaes, though in the role of supervisor.
    Experts should be allowed to work in their expert domain and not be promoted to management positions. If experts are forced to stricty follow procedures their performance drops.

    Se udgivelse

Fag/kurser

  • Bayesian Statistics: From Concept to Data Analysis (University of California, Santa Cruz), online course

    bayesian-statistics

  • Behavioral economics, Yale School of Management

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  • Computing for Data Analysis (Johns Hopskins University), online course

    compdata-003

  • Design and Interpretation of Clinical Trials (Johns Hopskins University), online course

    clintrials-001

  • Developing Innovative Ideas for New Companies, University of Maryland, online course

    innovativeideas-024

  • Epidemiology: The Basic Science of Public Health (The University of North Carolina at Chapel Hill), online course

    epidemiology-001

  • Game Theory, Stanford University, online

    game-theory-1

  • Introduction to Corporate Finance, Wharton Business School, online course

    whartonfinance-002

  • Introduction to Financial Accounting, Wharton Business School, online course

    whartonaccounting-001

  • Introduction to Operations Management, Wharton Business School, online course

    whartonoperations-001

  • Introduction to marketing, Wharton Business School, online course

    whartonmarketing

  • Model Thinking, University of Michigan, online

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  • Negotiations, Yale School of Management

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  • New Venture Finance, University of Maryland, online course

    venturefinance

  • Process Improvement, University of Illinois at Urbana-Champaign, online course

    process-improvement

  • Process Mining: Data science in Action, Eindhoven University of Technology, online course

    procmin-003

  • Statistics One (Princeton University), online course

    stats1-002

  • Successful Negotiation: Essential Strategies and Skills, University of Michigan, Online course

    negotiation-skills

  • The Data Scientist’s Toolbox (Johns Hopskins University), online course

    datascitoolbox-002

  • Unpredictable? Randomness, Chance and Free Will (National University of Singapore), online course

    randomness-001

  • Økonometri B (Københavns Universitet)

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Projekter

  • Building a social media data warehouse using SSIS, SQL Server and Effektor

    Andre skabere

  • Effektor

    Andre skabere
    Se projekt

  • FLIS

    – nu

    Benchmarking datawarehouse and BI solution with data from all the municipalities in Denmark.

    Andre skabere
    Se projekt

  • ePuls

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  • SKMS

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    Andre skabere

  • OPS

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  • STADS

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  • IBS

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  • mit.ITU

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  • SecureScan

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Sprog

  • English

    Komplet professionel færdighed

  • Danish

    Modersmåls- eller tosprogsfærdighed

Organisationer

  • PASS (Professional Association of SQL Server)

    Board member of the Danish SQL Server User Group

    – nu

  • CISV

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