Opleidingsbrochure Make IT Work Cyber Security Software Engineering Business Analytics
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1 Opleidingsbrochure Make IT Work Cyber Security Software Engineering Business Analytics

2 Inhoudsopgave 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4 OVER MAKE IT WORK... 5 MAKE IT WORK... 5 DOELGROEP... 5 FASES MAKE IT WORK... 6 WERVING EN MATCHING... 6 START FULLTIME OPLEIDING EN EVALUATIEMOMENT... 6 INWERKEN... 7 WERKEN EN STUDEREN... 7 PRAKTISCHE INFORMATIE... 8 START PROGRAMMA... 8 TOELATINGSEISEN... 8 STUDIEBELASTING... 8 LESTIJDEN... 8 LOCATIE... 8 KOSTEN... 8 VOOR WERKGEVERS... 9 CYBER SECURITY CYBER SECURITY PROFIEL CYBER SECURITY CURRICULUM CYBER SECURITY OVERZICHT VAN HET PROGRAMMA CYBER SECURITY WERKVORMEN SOFTWARE ENGINEERING SOFTWARE ENGINEERING PROFIEL SOFTWARE ENGINEERING CURRICULUM SOFTWARE ENGINEERING OVERZICHT PROGRAMMA SOFTWARE ENGINEERING WERKVORMEN BUSINESS ANALYTICS BUSINESS ANALYTICS PROFIEL BUSINESS ANALYTICS SPECIALIST CURRICULUM BUSINESS ANALYTICS OVERZICHT VAN HET PROGRAMMA BUSINESS ANALYTICS WERKVORMEN BIJLAGE 1 CURRICULUMBESCHRIJVING CYBER SECURITY SEMESTER SEMESTER

3 BIJLAGE 2 CURRICULUMBESCHRIJVING SOFTWARE ENGINEERING SEMESTER SEMESTER BIJLAGE 3 CURRICULUMBESCHRIJVING BUSINESS ANALYTICS SEMESTER SEMESTER

4 AANLEIDING Door snelgroeiende, technologische ontwikkelingen is de wereldwijde industrie de afgelopen jaren sterk veranderd. Digitalisering en robotisering zorgen er niet alleen voor dat banen verdwijnen, maar ook dat er nieuwe banen bij komen en bestaande banen veranderen. Hierdoor verandert de behoefte aan talent, kennis en kunde. Deze tekorten zijn uiteraard in de ICT-sector sterk voelbaar, maar juist ook in andere sectoren omdat huidige functies en toekomstige functies meer en meer ICT-componenten kennen. De vraag naar ICT ers concentreert zich met name op hbo- en wo-niveau. Daarnaast werkt een groot aantal hbo ers en academici niet in de richting waarin, of het niveau waarop, ze zijn afgestudeerd. Denk hierbij aan een afgestudeerde bioloog of econoom die niet aan het werk komt in zijn of haar vakgebied en daardoor al jaren een baan heeft, bijvoorbeeld in de lokale supermarkt. De verwachting is dat deze werknemers zich niet duurzaam kunnen redden op de arbeidsmarkt en zeker niet optimaal tot hun recht komen. Om een bijdrage te leveren aan het verkleinen van deze mismatch in vraag en aanbod is de Hogeschool van Amsterdam (HvA) in augustus 2015 gestart met het programma Make IT Work. Het programma Make IT Work is een eenjarig praktijkgericht omscholingsprogramma voor ICTfuncties zoals Software Engineer, Business Analytics Specialist en Cyber Security Specialist waarbij kandidaten met behulp van inhoudelijke modules, projecten, coaching en intervisie werken aan de skills en competenties die nodig zijn om zich duurzaam te bewegen op de ICT-arbeidsmarkt. Cursisten ontvangen na afloop een certificaat op bachelor niveau (hbo). De eerste lichting afgestudeerden is inmiddels allemaal aan het werk. De HvA is een ambitieuze hogeschool in een dynamische omgeving. Als University of Applied Sciences verzorgt zij onderwijs en verricht onderzoek. De HvA leidt - aankomende - professionals op die gewild zijn op de arbeidsmarkt. De verbinding tussen onderwijs, onderzoek en de beroepspraktijk versterkt de impact in de regio. De HvA heeft ruime ervaring in het opleiden van werkende professionals tijdens elk gewenst moment in hun carrière. Het domein ICT is een belangrijke pijler voor de HvA. Met behulp van Make IT Work komt de HvA tegemoet aan de vraag vanuit het bedrijfsleven om meer gekwalificeerde ICT ers op te leiden naast de reguliere voltijd- en deeltijdopleidingen. Mocht u na het lezen van de informatie in deze brochure nog vragen hebben, kunt u contact met ons opnemen via info@it-omscholing.nl of via telefoonnummer

5 OVER MAKE IT WORK MAKE IT WORK Make IT Work maakt het mogelijk voor hoogopgeleiden zonder specifieke ICT-achtergrond zich te laten omscholen naar ICT-functies als Software Engineer, Cyber Security Specialist of Business Analytics Specialist op hbo-niveau. Make IT Work wordt uitgevoerd door de Hogeschool van Amsterdam. Na een selectie starten geselecteerde cursisten aan het Make IT Work-traject. Het traject start met een fulltime studie van vijf maanden. De laatste vier weken van deze periode loopt u stage bij uw toekomstige werkgever. Hierna volgt een periode van zes maanden waarin vier dagen per week wordt gewerkt en een dag in de week onderwijs wordt gevolgd bij de HvA. U heeft dit voorafgaand aan het traject met uw werkgever afgesproken en bevestigd via een zogenaamde intentieverklaring. De meeste cursisten blijven na de afronding van de omscholing werkzaam bij de werkgever. DOELGROEP Make IT Work richt zich op werkzoekenden. Dit kunnen zowel mensen met werk als zonder werk zijn, maar in alle gevallen wel in het bezit van een hbo- of wo-diploma. Belangrijk is dat u beschikt over een groot analytisch inzicht en dat u gemotiveerd bent om tijd en energie in dit programma te steken. Bovendien beschikt u over de competenties: probleemanalyse, organisatie van eigen werk, sensitiviteit, overtuigingskracht, initiatief tonen, mondelinge communicatie en samenwerken. 5

6 FASES MAKE IT WORK De verschillende fase van het opleidings- en begeleidingstraject Make IT Work zijn hieronder grafisch weergegeven: Tijdpad 1,5 maand 2,5 maand 1 maand 6 maanden Werving Start traject Evaluatie moment Fulltime studie Inwerken werken + studeren Uitstroom naar werk Assessments Banenmarkt Matching WERVING EN MATCHING Kandidaten kunnen zich via aanmelden voor het online assessment. Het assessment bestaat uit een analytische test en een vragenlijst naar persoonlijkheidskenmerken. De online selectietool is gebruikersvriendelijk en bevat instructiefilmpjes. Kandidaten die het assessment met goed gevolg afronden, worden uitgenodigd voor de werkgeversmarkt. Deze werkgeversmarkt biedt gelegenheid voor bedrijven en kandidaten om met elkaar kennis te maken. Met behulp van speeddating worden bedrijven en kandidaten aan elkaar voorgesteld en er is ruimte om elkaar kort te spreken. Beide partijen maken kenbaar of er een klik is. Indien beide partijen geïnteresseerd zijn in elkaar, plannen zij samen één of meerdere sollicitatiegesprekken. De HvA faciliteert dit niet, elke organisatie kan dit via zijn eigen procedure inrichten. In dit sollicitatiegesprek wordt duidelijk of beide partijen zich willen committeren aan het uitgebreide opleidings- en begeleidingsprogramma van Make IT Work en tekenen zij beide een intentieverklaring. Hierin wordt opgenomen dat het bedrijf de intentie heeft om de kandidaat in dienst te nemen gedurende de tweede fase van het traject voor minimaal een half jaar. Dit is een harde eis voor de start van het traject: indien er geen intentieverklaring wordt getekend, kan de kandidaat niet starten aan het traject. De kandidaat committeert zich ook aan het bedrijf; indien hij ervoor kiest na het eerste half jaar met een andere werkgever in zee te gaan, is hij zelf verantwoordelijk voor het betalen van het werkgeversdeel van de opleidingskosten. Kandidaten die onverhoopt geen match hebben gevonden na de werkgeversmarkt kunnen een gesprek aanvragen met een coach zodat ze een volgende keer beter voorbereid zijn. De coach reflecteert samen met de kandidaat op de manier waarop hij zich heeft gepresenteerd en probeert samen met de kandidaten verbeterpunten te formuleren. Een kandidaat die door het assessment heen is gekomen, mag maximaal aan twee werkgeversmarkten deelnemen. START FULLTIME OPLEIDING EN EVALUATIEMOMENT De cursisten starten het traject met een proefperiode van zes weken. Hierin volgen zij vier vakken en worden zij intensief begeleid. Na deze zes weken is een evaluatiemoment ingebouwd. Iedere cursist bespreekt met de opleidingsmanager en de coach de voortgang en verwachtingen. Dit is een belangrijk moment, omdat hieruit een go of een no go beslissing wordt genomen. Indien de cursist onvoldoende gemotiveerd is en/of de vakken niet heeft behaald, dan neemt deze cursist geen deel 6

7 aan het vervolgtraject. Indien de cursist voldoende gemotiveerd is en voldoende geschikt wordt bevonden, stroomt hij door naar de hoofdfase van de opleiding. Gedurende de gehele omscholing worden cursisten begeleid door een coach. De coach heeft op gezette tijden individuele gesprekken met de cursisten waarbij de cursist wordt gestimuleerd in zijn persoonlijke ontwikkeling. Tevens begeleidt de coach intervisiebijeenkomsten van een groep cursisten, dit vindt één keer per drie weken plaats. Deze combinatie van inhoudelijke en persoonlijke ontwikkelingen maken Make IT Work tot een waardevol, maar intensief programma waarbij cursisten de juiste vaardigheden aanleren om zich duurzaam te kunnen bewegen op de arbeidsmarkt. INWERKEN Tijdens de laatste vier weken van het eerste semester gaat de cursist alvast aan de slag bij zijn toekomstig werkgever. Het ontmoeten van collega s, bekend raken met de gebruikte ontwikkelomgeving en de wijze van werken bij de werkgever zijn belangrijke leerdoelen. Afhankelijk van de wens van de toekomstig werkgever volgt de cursist aanvullende trainingen bij de werkgever. In overleg tussen de werkgever en de hogeschool kan hier ook een andere invulling voor worden vastgesteld. WERKEN EN STUDEREN Tijdens het tweede semester werkt de cursist 32-uur per week bij de werkgever en volgt de cursist nog acht uur per week onderwijs bij de hogeschool. 7

8 PRAKTISCHE INFORMATIE START PROGRAMMA De verschillende programma s starten bij voldoende cursisten een aantal keer per jaar volgens het onderstaande schema. Business Analytics Sep 2017 Nov 2017 Feb 2018 Apr 2018 Cyber Security Ja Ja Software Engineering Ja Ja Ja Ja Ja TOELATINGSEISEN Kandidaten in het bezit van een hbo- of wo-diploma, die na het online assessment zijn uitgenodigd voor de werkgeversmarkt en vervolgens een intentieverklaring met een werkgever hebben afgesloten zijn toelaatbaar tot de omscholingsprogramma s van Make IT Work. STUDIEBELASTING De studiebelasting wordt uitgedrukt in lijn met het internationale ECTS-systeem, waardoor de waarde toekenning van internationaal verworven vakken vergelijkbaar wordt (ECTS staat voor European Credit Transfer System). Eén credit staat dus voor 28 studie-uren. Het volledige Make IT Work programma bestaat uit 80 ects. LESTIJDEN Maand 1 t/m 4 Vier vaste opleidingsdagen van uur Coaching en intervisie gemiddeld een dag per drie weken in onderling overleg Maand 5 Fulltime inwerken bij de werkgever Maand 6 t/m 11 Een dag in de week van uur Coaching en intervisie in onderling overleg LOCATIE De programma s worden gegeven op HvA-locatie Fraijlemaborg, Fraijlemaborg 133, 1102 AZ Amsterdam. KOSTEN De omscholingsprogramma s worden niet door de overheid gefinancierd en cursisten ontvangen derhalve geen studiefinanciering. Het programma wordt deels gesubsidieerd door het ministerie van Sociale Zaken waardoor de kosten behorende bij een start in studiejaar als volgt zijn vastgesteld: 8

9 Bijdrage cursist: Bijdrage werkgever: 6.000, ,- (exclusief studiemateriaal en laptop) Mocht de cursist in de eerste periode (de eerste zes weken) uitvallen, dan betaalt hij 30 procent van deze 1.000,-. Als de cursist het eerste semester succesvol afsluit, maar besluit om niet bij de werkgever in dienst te gaan, dient de cursist het werkgeversdeel van de omscholingskosten ( 6.000,-) te betalen. VOOR WERKGEVERS Make IT Work biedt werkgevers de mogelijkheid deel te nemen aan dit programma en zo een oplossing te vinden voor de ontstane vacatures in zijn organisatie. De werkgever krijgt de mogelijkheid deel te nemen aan de werkgeversmarkt waar potentiële kandidaten zich oriënteren op een toekomstige werkgever. Al deze kandidaten hebben deelgenomen aan het assessment en zijn daaruit geselecteerd. Daarnaast krijgt u als werkgever de mogelijkheid om een bijdrage te leveren aan het verkleinen van de werkloosheid en kunt u hiermee bijdragen aan uw maatschappelijke verantwoordelijkheid (MVO). U kunt hierover publiceren en komt als partner op onze website. In overleg is ruimte op onze website mogelijk. Wat vragen wij van werkgevers? Ten eerste is het verplicht om als werkgever aanwezig te zijn op de werkgeversmarkt. Na deze werkgeversmarkt volgt er een individuele sollicitatieprocedure waarbij u zelf de regie voert, maar die wel afgerond dient te zijn voor de start van de opleiding waar de cursist aan deelneemt. Het is daarnaast verplicht om als bedrijf een intentieverklaring tot een arbeidsovereenkomst van minimaal zes maanden af te geven. Uiteraard gaat dat alleen in werking indien de cursist slaagt voor het eerste periode (van 6 weken) van de opleiding. Tot slot vragen wij van u een bijdrage van 6.000,- die direct na afloop van het eerste periode dient te worden betaald. 9

10 CYBER SECURITY CYBER SECURITY 0TOrganisaties zijn steeds afhankelijker van informatie en de onderliggende infrastructuur, die veelal verbonden is met internet. Medewerkers van organisaties worden geconfronteerd met spam, malware, virussen, social engineering en allerlei andere bedreigingen. Daardoor komt het onderwerp beveiliging steeds hoger op de bedrijfsagenda. Voorkomen moet worden dat de continuïteit van de bedrijfsprocessen, en daarmee die van de organisatie, in gevaar komt. Het fundament van Cyber Security bestaat uit drie belangrijke onderdelen: mensen, processen en technologie. Deze onderdelen vormen belangrijke schakels in organisaties, maar worden ook blootgesteld aan allerhande veiligheidsdreidingen. 0TCyber Security richt zich op het beschermen en beveiligen van waardevolle bezittingen van een organisatie, zoals bijvoorbeeld de ICT-infrastructuur en software, tegen allerhande bedreigingen. Hierdoor moeten beschikbaarheid, integriteit en vertrouwelijkheid van deze bezittingen worden gewaarborgd. PROFIEL CYBER SECURITY 0TEen Cyber Security Specialist heeft als belangrijk verantwoordelijkheidsgebied de operationele aspecten van de informatiebeveiliging. Daardoor bezit de Cyber Security Specialist kennis en vaardigheden op het gebied van systeem- en netwerktechnologie. Naast dit technische perspectief, heeft de Cyber Security Specialist te maken met veiligheid van bedrijfsprocessen en de menselijke invloed daarbij. Ook treft de Cyber Security Specialist maatregelen die verschillend van aard zijn en als doel hebben: - 0THet voorkomen van beveiligingsincidenten (preventieve maatregelen); - 0THet opsporen van beveiligingsincidenten (detectieve maatregelen); - 0THet beperken van de nadelige gevolgen van beveiligingsincidenten (repressieve maatregelen); - 0THet teruggaan naar de normale situatie (correctieve maatregelen). 42TCURRICULUM CYBER SECURITY 42TDe omscholing Cyber Security bestaat uit twee semesters. In het eerste semester krijgt u vakinhoudelijke thema s gericht op het opdoen van kennis en vaardigheden op het gebied van systeem- en netwerktechnologie, programmeren en databases. Het tweede semester bestaat uit vakken gericht op verdieping van de kennis en het opdoen van vaardigheden op de gebieden Incident Response, Risk Assessment, Software Security en Infrastructure Security. 10

11 OVERZICHT VAN HET PROGRAMMA CYBER SECURITY De opleiding is ingedeeld in drie leerlijnen namelijk vakinhoud, persoonlijke vaardigheden en projecten. De vakinhoudelijke leerlijn bestaat uit modules. Het gehele curriculum bestaat uit 80 ECTS. Deze 80 ECTS worden vanwege het duaal karakter van Make IT Work verdeeld over de opleidingsduur van 11 maanden. Semester 1: Vakinhoudelijk o Infrastructure o Network Engineering 1 o Python Engineering 1 o System Engineering 1 o Network Engineering 2 o Python Engineering 2 o System Engineering 2 o Databases o Implementation Semester 2: Vakinhoudelijk o Incident Response o Risk Assessment o Software Security o Infrastructure Security Coaching Projecten o Project Security Basics o Inwerken bij werkgever Coaching WERKVORMEN De opleiding hanteert een breed scala aan didactische werkvormen: Colleges Coaching (individuele coachingsgesprekken) Casuïstiek Individuele en groepsopdrachten Presentaties van opdrachtuitwerkingen (peer review) Intervisiebijeenkomsten (peer consultation) Een uitgebreide curriculumbeschrijving vindt u in bijlage 1. 11

12 SOFTWARE ENGINEERING SOFTWARE ENGINEERING 0TDe omscholing Software Engineering leert u softwaresystemen ontwerpen, realiseren en testen. U werkt met verschillende programmeertalen en ontwikkelmethoden. 0TAls cursist van Software Engineering leert u projectmatig te werken en bent u gericht op het beheren, analyseren, adviseren, ontwerpen en realiseren van softwaresystemen. In het traject van de ontwikkeling van nieuwe softwaresystemen speelt de gebruiker een steeds belangrijkere rol. Daarom ontwikkelt u tijdens de opleiding ook uw communicatieve vaardigheden om zodoende de wensen van de klant te kunnen achterhalen en ze te vertalen in een gebruiksvriendelijk eindproduct. PROFIEL SOFTWARE ENGINEERING 0TWereldwijd is er momenteel behoefte aan goed opgeleide ICT-0Tspecialisten. U kunt aan de slag als software engineer in verschillende programmeertalen0t. CURRICULUM SOFTWARE ENGINEERING 0TDe omscholing tot Software Engineer is gericht op het aanleren van de benodigde skills en theorie die nodig is bij het succesvol ontwerpen en programmeren van software. Software zoals apps, backend applicaties, websites en database applicaties. Het traject van vier maanden scholing gecombineerd met de inwerkperiode bij de werkgever bereidt de cursisten voor op een diversiteit aan functies binnen het vakgebied Software Engineering. Voorbeelden van programmeertalen waar cursisten software in ontwikkelen zijn Java, PHP, Mendix, Oracle en.net. Ook werken cursisten aan SAP-integratieprojecten en Hippo CMS-uitbreidingen. Het onderwijsprogramma van Software Engineering bestaat uit twee semesters. In het eerste semester krijgt u vakinhoudelijke thema s die relevant zijn voor het vakgebied Software Engineering, daarnaast heeft u twee projectweken waarbij u aan de slag gaan met het geleerde. 0TDe vakken in het tweede semester zijn gericht op het verhogen van de kwaliteit van softwarecode. U krijgt 0T vaardigheids- en verdiepingstrainingen. 12

13 OVERZICHT PROGRAMMA SOFTWARE ENGINEERING De opleiding is ingedeeld in drie leerlijnen namelijk vakinhoud, persoonlijke vaardigheden en projecten. De vakinhoudelijke leerlijn bestaat uit modules. Het gehele curriculum bestaat uit 80 ECTS. Deze 80 ECTS worden vanwege het duaal karakter van Make IT Work verdeeld over de opleidingsduur van 11 maanden. Semester 1: Vakinhoudelijk o Programming o Databases 1 o Object Oriented Programming 1 o Databases 2 o Object Oriented Programming 2 o Datastructures o Web applications o Agile Development en OOAD Semester 2: Vakinhoudelijk o Requirements Engineering o Data Warehousing o Design Patterns o Software Engineering Tools o Software Maintenance o Software Testing Coaching Projecten o Project Robot Programmeren o Inwerken bij werkgever Coaching WERKVORMEN De opleiding hanteert een breed scala aan didactische werkvormen: Colleges Coaching (individuele coachingsgesprekken) Casuïstiek Individuele en groepsopdrachten Presentaties van opdrachtuitwerkingen (peer review) Intervisiebijeenkomsten (peer consultation) Een uitgebreide curriculumbeschrijving vindt u in bijlage 2. 13

14 BUSINESS ANALYTICS Vanaf februari 2018 is het mogelijk omgeschoold te worden naar de functie van Business Analytics Specialist. In de onderstaande paragrafen wordt beschreven wat het vakgebied inhoudt, voor welk profiel wordt omgeschoold en wat de onderwerpen in het curriculum van de omscholing zullen zijn. BUSINESS ANALYTICS 0TBusiness Analytics is het verbeteren van bedrijfsprocessen door het verkrijgen van nieuwe inzichten gebaseerd op interne en externe data, gebruikmakend van tools voor procesanalyse en dataanalyse. Dit alles met als doel het verbeteren van de prestatie van de organisatie. PROFIEL BUSINESS ANALYTICS SPECIALIST 0TDe werkzaamheden van een Business Analytics Specialist bestaan uit het oplossen van bedrijfsvraagstukken. Vanuit data-analyse verkrijgt u inzichten, waardoor u de vraagstukken en bijbehorende oplossingen met een combinatie van kennis en vaardigheden op de gebieden bedrijfskunde en informatica zichtbaar maakt, analyseert én beantwoord. CURRICULUM BUSINESS ANALYTICS 0THet vakgebied Business Analytics wordt onderverdeeld in een aantal deelgebieden, namelijk: Descriptive Analytics, Diagnostic Analytics, Predictive Analytics en Prescriptive Analytics. Binnen Make IT Work Business Analytics zullen kennis en vaardigheden worden opgedaan in de eerste drie deelgebieden. Het curriculum bestaat hierdoor uit studieonderdelen op het gebied van bedrijfskunde en informatica, met als belangrijke onderwerpen: bedrijfsprocessen, Business Intelligence, Data Warehousing, SQL, NoSQL, Databases, Big Data en informatie-analyse. De omscholing Business Analytics bestaat uit twee semesters. In het eerste semester krijgt u vakinhoudelijke thema s. U krijgt ICT-kennis en vervolgens specifieke kennis die nodig is voor de functie van Business Analytics Specialist. Daarnaast bestaat het curriculum uit projecten waarin u het geleerde toepast in een gesimuleerde praktijkomgeving. In het tweede semester krijgt u vaardigheids- en verdiepingstrainingen. 14

15 OVERZICHT VAN HET PROGRAMMA BUSINESS ANALYTICS De opleiding is ingedeeld in drie leerlijnen namelijk vakinhoud, persoonlijke vaardigheden en projecten. De vakinhoudelijke leerlijn bestaat uit modules. Het gehele curriculum bestaat uit 80 ECTS. Deze 80 ECTS worden vanwege het duaal karakter van Make IT Work verdeeld over de opleidingsduur van 11 maanden. WERKVORMEN De opleiding hanteert een breed scala aan didactische werkvormen: Colleges Coaching (individuele coachingsgesprekken) Casuïstiek Individuele en groepsopdrachten Presentaties van opdrachtuitwerkingen (peer review) Intervisiebijeenkomsten (peer consultation) 15

16 BIJLAGE 1 CURRICULUMBESCHRIJVING CYBER SECURITY SEMESTER 1 Studielast van 40 uur per week Infrastructure Tijdens dit vak maakt de cursist kennis met de basiscomponenten en -configuraties van een eenvoudige netwerkomgeving. Network Engineering 1 Tijdens dit vak leert de cursist de principes en werking van de netwerklaag, alsmede een eerste kennismaking met network forensics Python Engineering 1 System Engineering 1 Tijdens dit vak maakt de cursist kennis met de basisbegrippen van programmeren in Python en C++. Tijdens dit vak maakt de cursist kennis met de basiscomponenten en -configuraties van een computersysteem. Project Security Basics Tijdens dit project passen de cursist in een projectteam de kennis en vaardigheden toe die opgedaan zijn tijdens de eerste vier vakken van de omscholing. Network Engineering 2 Tijdens dit vak leert de cursist het netwerk kennen vanuit het perspectief van de applicatie. System Engineering 2 Tijdens dit vak krijgt de cursist meer inzicht in complexere systeemconfiguraties, zoals multi- en gedistribueerde processing. Python Engineering 2 Tijdens dit vak maakt de cursist kennis met object georiënteerd programmeren in Python en C++. Databases Het ontwerpen van databases leer je binnen dit vak met behulp van kleine casussen waarin je de informatiebehoefte leert herkennen en vertalen naar een conceptueel gegevensmodel. Je leert hoe je dit gegevensmodel kunt omzetten in een tabelstructuur van een relationele database. Daarnaast wordt aandacht besteed aan de implementatie van een database. Ook bedreigingen en bijbehorende beveiligingsmaatregelen van databases komen aan de orde. Implementation Tijdens dit vak wordt een aantal theoretische concepten uit het eerste semester van de omscholing in de praktijk gebracht. Projectopdracht bij werkgever Tijdens de inwerkperiode draait de cursist op de werkvloer van de werkgever mee, als voorbereiding op de werkperiode van het tweede semester. 16

17 SEMESTER 2 Studielast van 8 uur per week en 32 uur per week werken bij werkgever Incident Response Risk Assessment Software Security Infrastructure Security Bij het vak Incident Response komen onderwerpen als 'Handling Incidents via Detection, Reaction en Mitigation' aan bod en hun relatie tot Security. Bij het vak Risk Assessment komen onderwerpen als 'Assets, Vulnerabilities, Threats, Risks, Safeguards en Mitigation' aan bod en hun relatie tot Security. Bij het vak Software Security komen onderwerpen als de concepten van Software Architecturen, soorten Threats and Attacks en Software Controls aan bod en hun relatie tot Security. Bij het vak Infrastructure Security komen onderwerpen als IT-Infrastructure Layers, Components en Controls aan bod en hun relatie tot Security. 17

18 BIJLAGE 2 CURRICULUMBESCHRIJVING SOFTWARE ENGINEERING SEMESTER 1 Studielast van 40 uur per week Programming Binnen de module Programming leer je hoe een programmeertaal toegepast kan worden voor het oplossen van eenvoudige programmeerproblemen. Tevens leer je bestaande, kleine programma s begrijpen en aanpassen. Na afloop van de module Programming kun je: gebruikmaken van variabelen, datatypes en operatoren; expressies samenstellen en berekenen; control structures (if, switch, for, while, ) construeren en bepalen welke wanneer nodig is; functies/methoden construeren en gebruiken; arrays (container) construeren en toepassen; uitleggen wat een Class/Object is en een eenvoudige Class gebruiken. Databases 1 Het ontwerpen van databases leer je binnen deze module met behulp van kleine casussen waarin je de informatiebehoefte leert herkennen en vertalen naar een conceptueel gegevensmodel. Je leert hoe je dit gegevensmodel kunt omzetten in een tabelstructuur van een relationele database. Daarnaast wordt aandacht besteed aan de implementatie van een database. Na afloop van de module Databases 1 kun je: de principes van genormaliseerde relationele databases uitleggen; een databases definiëren met behulp van de Structured Query Language (SQL): tabellen, sleutels, integriteitsregels, actieregels, checks; een conceptueel gegevensmodel op stellen in de vorm van een Entiteit Relatie Diagram (ERD); een eenvoudige relationele database ontwerpen en implementeren; gegevens in een relationele database bevragen en manipuleren met behulp van SQL. Object Oriented Programming 1 Binnen de module Object Oriented Programming 1 leer je over de volgende onderwerpen: Classes en Objecten, Complexe datatypes, Overerving (Inheritance), Polymorfisme, Programmaontwerp, Documentatie en Coderingsstandaard. Na afloop van de module Object Oriented Programming 1 kun je: classes ontwerpen, implementeren en gebruiken; complexe datatypes implementeren en gebruiken; overerving implementeren en toepassen; polymorfisme toepassen; duidelijke documentatie maken die voldoet aan de coderingsstandaard. 18

19 Databases 2 Aan de hand van casussen leer je de informatiebehoefte herkennen en vertalen naar een conceptueel informatiemodel. In de casussen zit complexiteit die leidt tot recursieve relaties, subtypering en meerdere constraints. Het datamodel inclusief constraints kan met behulp van SQL geïmplementeerd worden in een relationele database. Je leert vele mogelijkheden van de relationele taal SQL gebruiken om allerlei soorten gebruikersvragen te vertalen naar een SQL query. En je leert hoe informatie automatisch kan controleren en verwerken met behulp van triggers. Je maakt ook kennis met de problematiek van een Multi-user omgeving en met andere oplossingen dan een relationele database om gegevens op te slaan. Daarnaast maak je kennis met andere middelen op data op te slaan en uit te wisselen zoals XML en JSON. En je leert wat NoSQL databases zijn en hoe je die kunt gebruiken. Na afloop van de module Databases 2 kun je: De principes van databases in een multi-user omgeving benoemen en uitleggen en weet wat transactions en locking strategies inhouden; Benoemen en uitleggen dat ook mbv andere oplossingen als XML en NoSQL gegevens kunnen worden opgeslagen; Database indexen gebruiken om performance te verbeteren. En is de cursist in staat om: Een conceptueel datamodel (ERD) op te stellen met behulp van ERM, gebruikmakend van recursieve relaties en subtypering; Een relationele database te ontwerpen en te implementeren en kan daarbij de juiste informatie automatisch controleren en verwerken mbv triggers; Op basis van gebruikersvragen de juiste informatie te presenteren mbv SQL queries, gebruikmakend van Group by, Subqueries, Views, Stored Procedures; Gebruik te maken van een XML schema document om XML documenten te valideren; JSON documenten op te stellen en binnen een MapReduce Framework te gebruiken. Projectopdracht In dit project ga je in teamverband een Lego Mindstorms robot bouwen en programmeren om daarmee de kennis en vaardigheden opgedaan in de eerste 4 modules van Make IT Work in een complexere omgeving toe te passen. Het project wordt afgesloten met een presentatie van de robots aan de werkgevers. Tijdens het project zullen enkele aanvullende en ondersteunende workshops worden gegeven, o.a. over JDBC en applicatie architectuur. Na afloop van deze projectopdracht kun je: een IT-systeem ontwerpen; de realisatie van een IT-systeem plannen; een (deel van een) IT-systeem realiseren; vanuit een Java programma communiceren met een relationele database dmv JDBC; de functionaliteit van een eenvoudig IT-systeem evalueren en testen. Object Oriented Programming 2 Binnen de module Object Oriented Programming 2 leer je over de volgende onderwerpen: Softwarekwaliteit, Foutafhandeling met exceptions, Interfaces, Abstracte klassen, Text I/O en binary I/O, Het gebruik van Generics, collections en Lists. Na afloop van de module Object Oriented Programming 2 kun je: Unit tests ontwerpen, implementeren en toepassen; Kwaliteit van software bepalen; Exception implementeren en toepassen; Abstract class ontwerpen, implementeren en toepassen; 19

20 Interface ontwerpen, implementeren en toepassen; Gebruik maken van de specifieke classes voor tekst I/O en binary I/O; Generics toepassen; Keuze maken voor de juiste Collection/List. Datastructures Bij het ontwikkelen van software is het van belang om rekening te houden met efficiëntie en performance. De complexiteit van algoritmen en de gebruikte datastructuren spelen daarbij een belangrijke rol. In deze module worden verschillende datastructuren besproken en de algoritmen om operaties op die structuren te realiseren worden onderzocht. Met wiskundige technieken analyseren we het tijd- en ruimtegebruik. Na afloop van de module Datastructures kun je: het belang aangeven van de keuze van een datastructuur; de datastructuren arraylist, linked list, stack, queue, priority queue, en hash table implementeren en gebruiken; enkele grafentheoretische algoritmen toepassen en analyseren; de efficiëntie van algoritmen bepalen met behulp van een wiskundige hulpmiddel, de big O; elementaire sorteeralgoritmen gebruiken en implementeren; recursieve methoden begrijpen, gebruiken en implementeren. Web applications De cursist leert op basis van objectgeoriënteerde technieken een webapplicatie te ontwerpen en te ontwikkelen. De gebruikte technieken zijn JSP, Servlets en Hibernate, en Object Relational Mapping voor het persisteren van de data. Daarnaast ontwikkelt de cursist vaardigheden op het gebied van datamodellen en kan deze vertalen naar een relationeel en een fysiek model. Ook leert hij de mogelijkheden van SQL gebruiken in de data access layer. Na afloop van de module Web applications kun je: SQL toepassen voor het bewerken, toevoegen en opvragen van informatie uit een database; Een database koppelen aan een webapplicatie; op basis van een ontwerp een webapplicatie bouwen; Agile Development en OOAD Deze week worden er twee korte maar samenhangende modules behandeld: Agile development en OOAD. In de module Agile development staan twee onderwerpen centraal. 1. Agile Software Development Agile Development, het Agile manifesto en SCRUM. 2. Software Kwaliteit Statische analyse; Dynamisch testen; Code inspecties. OOAD is een populaire techniek voor het analyseren en ontwerpen van applicaties. Dit zal veelal op een iteratieve en incrementele manier gebeuren met veel aandacht voor de modelleertaal UML. Na afloop van de module OOAD kun je: Verschillende UML-diagrammen lezen en opstellen; Requirements Engineering toepassen; Business modeling toepassen; Design modeling toepassen. 20

21 Je leert in deze week ook het belang van een goede requirements analyse en een goed ontwerp voor de kwaliteit van de software. Projectopdracht bij werkgever Gedurende vier weken ga je alvast aan de slag bij de toekomstige werkgever. Het ontmoeten van collega s, bekend raken met de gebruikte ontwikkelomgeving en kennis maken met de wijze van werken bij de werkgever zijn belangrijke leerdoelen. Afhankelijk van de toekomstig werkgever, doe je dit in de Microsoft.Net omgeving met.net MVC en ASP of in een Java-omgeving met Hibernate, het SpringMVC framework en JSP/Servlets. In overleg tussen de werkgever en de HvA kan hier ook een andere invulling voor worden gekozen. Het Software Engineering programma dat in samenwerking met de Hilversum Media Campus wordt aangeboden, biedt in de inwerkperiode een project aan van twee weken. In dit project zullen de cursisten een web applicatie ontwikkelen zoals NPO Uitzending gemist. Tijdens het project wordt onderwijs aangeboden door de deelnemende bedrijven. SEMESTER 2 Studielast van 8 uur per week en 32 uur per week werken bij werkgever Requirements Engineering Het succes van een softwaresysteem staat of valt met de correcte interpretatie van de wensen van de toekomstige systeemgebruikers. In deze module wordt ingegaan op een aantal specifieke technieken om deze wensen te destilleren, te formuleren in use cases en controleerbaar te maken. Hierbij wordt gebruik gemaakt van de Volere methodiek, beschreven in het boek. Onderwerpen die aan de orde komen zijn: Introductie, Requirements en het requirement engineering process, Projectstart, Event-driven usecases, Verzamelen van requirements- scenarios, Functionele en niet-functionele requirements, Fit criteria, Documenteren en kwaliteit, Prototyping, Hergebruik en Review van de specificatie. Na afloop van de module Requirements Analyse kun je: in overleg met beoogde eindgebruikers systeem requirements op te stellen in een Programme Of Requirements (POR); problemen in interpretatie, nauwkeurigheid en haalbaarheid van het POR vroegtijdig te herkennen en te ondervangen; de plaatsing en het belang van het POR in een professioneel domein te herkennen en te implementeren. Data Warehousing Een bedrijf beschikt veelal over vele bronnen van informatie. De informatie is opgeslagen in meerdere operationele databases. Het nemen van beslissingen op alle niveaus in het bedrijf is afhankelijk van de beschikbaarheid van relevante informatie. Vaak moet de informatie nog gegroepeerd, geaggregeerd en geanalyseerd worden. Tegenwoordig ontwerpt en bouwt men daarvoor een datawarehouse, een opslagplaats van gegevens. In deze verdiepingsmodule leert de cursist de basisprincipes van datawarehouses kennen. Daarbij hoort kennis van en inzicht in het maken van een ontwerpmodel voor een datawarehouse. Daarnaast krijgt de cursist inzicht in de toepassing en het nut van datawarehousing. 21

22 Onderwerp die in deze module aan bod komen zijn: Business Intelligence; BI Navigator; Data Warehouse architectuur; Sterschema s; Dimensies en Feiten; Slowly Changing Dimensions; Busmatrix; Join navigatie en Aggregaten; Data Marts en Operational Data Store; Datakwaliteit. Design Patterns Uit de resultaten van de analyse van aanwezige OOA- en OOD-modellen wordt het duidelijk dat bepaalde patronen (patterns) zich in een vergelijkbare vorm steeds herhalen. De patronen die zich in OOA-modellen herhalen, noemt men de analysis patterns. De bekende analysis patterns worden door ervaren systeemanalisten met succes toegepast bij de analyse en constructie van nieuwe modellen. Design patterns zijn afkomstig van de bestaande, robuuste OOD-modellen. Ze zijn over het algemeen technischer en complexer dan analysis patterns. Design patterns geven beproefde en generieke oplossingen aan voor telkens terugkerende ontwerpproblemen. In deze module verwerft de cursist de nodige kennis en vaardigheden om design patterns te ontdekken en toe te passen bij het ontwerpen van robuuste software. Zo leert hij een analysemodel te vertalen naar een designmodel en het resultaat naar programma s. Na afloop van de module Design Patterns kun je: UML schema analyseren en design patterns benoemen; UML schema van een design pattern opstellen; de werking van een design pattern uitleggen; de koppeling tussen een design pattern en design principle maken en onderbouwen; verbanden tussen design patterns leggen; verschillende problemen oplossen met behulp van design patterns; de structuur van een programma analyseren en design patterns herkennen; de toepassing van design patterns binnen bestaande structuren van programma s analyseren en beoordelen; bestaande structuren van programma s aanpassen en of verbeteren doormiddel van het toepassen van design patterns; onderbouwen waarom gemaakte aanpassingen aan de structuur van een programma verbeteringen zijn. Software Engineering Tools De cursist heeft inzicht in de concepten en het gebruik van CASE-tools bij software engineering. De nadruk ligt op model-based development, codegeneratie en business rules automation. Het toepassen van concepten van rule-based systemen komt daarbij aan de orde. De cursist is in staat een CASE-tool zelfstandig te onderzoeken en te beoordelen op gebruik en inzetbaarheid bij een systeemontwikkelingstraject. De aandacht is daarbij met name gericht op het ontwikkelen van informatiesystemen. De cursist weet zelf relevante beoordelingscriteria op te stellen en krijgt inzicht in de ISO-standaard voor softwarekwaliteit. Na afloop van de module Software Engineering Tools kun je: de inzetbaarheid van een CASE tool in een systeemontwikkelingstraject 22

23 beoordelen; beoordelingscriteria om de kwaliteit van een tool te meten opstellen; de functionaliteit en de kwaliteit van een tool onderzoeken, vastleggen en presenteren. Software Maintenance Software maintenance is het onderhouden van een product nadat het afgeleverd is aan de opdrachtgever. Tijdens het gebruik hiervan kan het wenselijk zijn om de software te verbeteren ten aanzien van performance, security of andere quality attributes (non-functional requirements). Ook het verbeteren van fouten die niet tijdens de acceptatietesten zijn gevonden vallen onder software maintenance net zoals het toevoegen van functional requirements. Na afloop van de module Software Maintenance kun je: aangeven wanneer software in de maintenance fase is; de kosten van de maintenance fase verminderen door keuzes te maken in de eerdere fases; software analyseren met behulp van tools op de onderhoudbaarheid van de software zelf; advies geven om de onderhoudbaarheid van software te verbeteren met onderbouwing; SIG maintainability model toepassen bij het analyseren op de onderhoudbaarheid van software; meetwaarden analyseren binnen het SIG maintainability model; waardering toekennen aan de meetingen van gegevens zoals het SIG maintainability model voorschrijft; verband leggen tussen het SIG maintainability model en ISO 9126; kritisch kijken naar eigen onderzoek en zwakten binnen het onderzoek aangegeven. Software Testing Testen is een van hulpmiddelen om de kwaliteit van de software te kunnen meten en daarmee de stakeholders het vertrouwen te geven dat de geleverde software voldoet aan de gestelde kwaliteitscriteria. Het vertrouwen van de stakeholders neemt toe als het testproces gemanaged wordt en de tester gebruik maakt van best practices op het gebied van testontwerp en testuitvoering. Deze elementen zijn vastgelegd in de TMap testmethode en deze methode is de basis voor de cursus. Na afloop van de module Software Testing kun je: in een testproces de verschillende fasen van het TMAP faseringsmodel herkennen; een testplan opstellen; Testscripts schrijven en uitvoeren; een vrijgave-advies geven; inzicht in de kosten en baten hebben van kwaliteitszorg en van testen en ken je de kenmerken van TMap. 23

24 BIJLAGE 3 CURRICULUMBESCHRIJVING BUSINESS ANALYTICS SEMESTER 1 Studielast van 40 uur per week Programming Binnen de module Programming leer je hoe een programmeertaal toegepast kan worden voor het oplossen van eenvoudige programmeerproblemen. Tevens leer je bestaande, kleine programma s begrijpen en aanpassen. Na afloop van de module Programming kun je: gebruikmaken van variabelen, datatypes en operatoren; expressies samenstellen en berekenen; control structures (if, switch, for, while, ) construeren en bepalen welke wanneer nodig is; functies/methoden construeren en gebruiken; arrays (container) construeren en toepassen; uitleggen wat een Class/Object is en een eenvoudige Class gebruiken. Databases 1 Het ontwerpen van databases leer je binnen deze module met behulp van kleine casussen waarin je de informatiebehoefte leert herkennen en vertalen naar een conceptueel gegevensmodel. Je leert hoe je dit gegevensmodel kunt omzetten in een tabelstructuur van een relationele database. Daarnaast wordt aandacht besteed aan de implementatie van een database. Na afloop van de module Databases 1 kun je: de principes van genormaliseerde relationele databases uitleggen; een databases definiëren met behulp van de Structured Query Language (SQL): tabellen, sleutels, integriteitsregels, actieregels, checks; een conceptueel gegevensmodel op stellen in de vorm van een Entiteit Relatie Diagram (ERD); een eenvoudige relationele database ontwerpen en implementeren; gegevens in een relationele database bevragen en manipuleren met behulp van SQL. Databases 2 Aan de hand van casussen leer je de informatiebehoefte herkennen en vertalen naar een conceptueel informatiemodel. In de casussen zit complexiteit die leidt tot recursieve relaties, subtypering en meerdere constraints. Het datamodel inclusief constraints kan met behulp van SQL geïmplementeerd worden in een relationele database. Je leert vele mogelijkheden van de relationele taal SQL gebruiken om allerlei soorten gebruikersvragen te vertalen naar een SQL query. En je leert hoe informatie automatisch kan controleren en verwerken met behulp van triggers. Je maakt ook kennis met de problematiek van een Multi-user omgeving en met andere oplossingen dan een relationele database om gegevens op te slaan. Daarnaast maak je kennis met andere middelen op data op te slaan en uit te wisselen zoals XML en JSON. En je leert wat NoSQL databases zijn en hoe je die kunt gebruiken. Na afloop van de module Databases 2 kun je: De principes van databases in een multi-user omgeving benoemen en uitleggen en weet wat transactions en locking strategies inhouden; Benoemen en uitleggen dat ook mbv andere oplossingen als XML en NoSQL gegevens kunnen worden opgeslagen; Database indexen gebruiken om performance te verbeteren. 24

25 En is de cursist in staat om: Een conceptueel datamodel (ERD) op te stellen met behulp van ERM, gebruikmakend van recursieve relaties en subtypering; Een relationele database te ontwerpen en te implementeren en kan daarbij de juiste informatie automatisch controleren en verwerken mbv triggers; Op basis van gebruikersvragen de juiste informatie te presenteren mbv SQL queries, gebruikmakend van Group by, Subqueries, Views, Stored Procedures; Gebruik te maken van een XML schema document om XML documenten te valideren; JSON documenten op te stellen en binnen een MapReduce Framework te gebruiken. Business, Management & Organisation Binnen deze module leer je hoe organisaties zijn ingericht. Hiermee krijg je inzicht in de de positie van een organisatie t.o.v. de omgeving en krijg je inzicht in de interne processen en besturing van een organisatie. Deze inzichten zijn van belang voor de het vaststellen van de benodigde informatie voor de organisatie (de module informatieanalyse). Na afloop van deze module: begrijp je waarom het belangrijk is om de externe omgeving van een organisatie te analyseren en weet je welke analyse-technieken hierbij gebruikt worden; begrijpt waarom het belangrijk is om de interne omgeving van een organisatie te analyseren door het beschrijven van primaire en secundaire bedrijfsprocessen en de organisatiestructuur; kan je bedrijfskundige oplossingen formuleren en presenteren; kan je basale bedrijfskundige modellen uitleggen en toepassen; ken je verschillende theorieën over management en organisatie en kan je de verschillen tussen de diverse theorieën uiteen zetten; begrijp je de belangrijkste managementstrategieën en kan deze toepassen in een analyse van bedrijven en kan deze herkennen in de dagelijkse praktijk van bedrijven; kan je bedrijfskundige modellen toepassen op verschillende (ICT) vraagstukken; leer je een analyse te maken van de organisatorische aspecten van ICT. Business Process Management In deze module leer je hoe je processen kan verbeteren in een organisatie. Door het analyseren van een probleem, leer je hoe je een proces kan verbeteren. Door de huidige situatie te analyseren met een processchema, analysemethoden en management informatie, kunnen procesverbeteringen opgesteld worden. Om de verbeteringen in het proces te kunnen volgen moet het proces gemeten met prestatieindicatoren om objectief de beoogde procesverbeteringen te kunnen vaststellen. Na afloop van deze module: Heb je basiskennis over Business Process Management; Kan je eenvoudige BPMN Processchema s opstellen van processen (m.b.v. tools); Heb je basiskennis van de verschillende analysemethoden voor procesverbetering; Kan je een eenvoudige procesverbetering ontwerpen en adviseren; Kan je prestatieindicatoren opstellen voor processen. Informatieanalyse Informatieanalyse heeft als doel een informatiesysteem te beschrijven dat voorziet in de informatiebehoefte van een organisatie. Daarvoor is o.a. kennis van type bedrijfsprocessen, vaardigheid in interviewtechnieken en het modelleren 25

26 bedrijfsfuncties en processen, het analyseren van de informatiebehoefte en het modelleren van gegevensmodellen vereist. Bovendien dient dat met relevante rapporteringsvormen ondersteund te worden. Na afloop van deze module kan de cursist: de actuele theorie m.b.t. informatieanalyse, zoals requirements analyse, te benoemen en toe te passen op een casus; die technieken en vormen van documentatie te beargumenteren en te hanteren die op een bepaald moment in het informatieanalyse traject het meest van toepassing zijn; een opdrachtgever dusdanig te interviewen dat de requirements voor het beoogde informatiesysteem worden achterhaald; referentiemodellen te hanteren die voor het te ontwikkelen informatiesysteem voorhanden zijn; een dusdanig overtuigend rapport en presentatie te geven dat de opdrachtgever een onderbouwd besluit kan nemen voor het al dan niet aanschaffen van een bedrijfsinformatiesysteem. Data Warehousing Modelling In de module Data Warehouse Modelling wordt ingegaan op de datamodellering die specifiek gericht is op het vastleggen management informatie in een Data Warehouse. Dergelijke datamodellen zijn doorgaans niet-genormaliseerde datamodellen. Binnen deze module worden de theorien van Kimball en Inmon behandeld. Tevens zal de Data Vault modelleringstechniek van Dan Linstedt worden besproken. Na afloop van deze module: heb je kennis van de theorie van Ralph Kimball; ben je bekend met begrippen zoals sterschema, dimensietabel, feitentabel, meetwaarden en slowly changing dimension; heb je basiskennis over de theorien van Bill Inmon en Dan Linstedt; kan je een dimensionaal model ontwerpen; ken je het verschil tussen het conceptuele en het technische datamodel. Data Warehousing In de module Data Warehousing wordt de architectuur van een Data Warehouse omgeving besproken a.d.h.v. een Data Warehouse Framework. Hierin worden de belangrijkste onderdelen van een Data Warehouse / Business Intelligence omgeving behandeld. Begrippen die hier besproken worden, zijn: Architectuur; Data Management; ETL Extraction, Transformation & Load: Bronnenonderzoek; Data kwaliteit; Data Cleansing; Transformation; Calculation. ODS operational data store; Technische optimalisatie. Business Intelligence In de module Business Intelligence wordt besproken hoe de gebruikers in een organisatie toegang krijgen tot de benodigde informatie. We zullen a.h.v. een specifieke tool inzicht geven in de algemene principes die toepasbaar zijn op de meeste Business Intelligence tools. Onderwerpen die hier behandeld gaan worden zijn Typen gebruikers; Typen Rapporten; 26

27 OLAP; Dashboards. Projectopdracht Projectopdracht bij werkgever In dit project ga je een Data Warehouse / Business Intelligence systeem maken o.b.v. de kennis uit de modules. Aan de hand van een case worden de doelstellingen van de organisatie uitgewerkt tot een lijst van indicatoren. Daarnaast wordt een data warehouse omgeving gerealiseerd waarin verschillende bronnen worden opgenomen. Je moet de ETL-omgeving maken en het datawarehouse bouwen en de business intelligence tool hierop aansluiten. Met behulp van rapporten, OLAP en dashboards, moet je de lijst van indicatoren gaan maken in de business intelligence tool t.b.v. de verschillende gebruikers. Het doel van dit project is inwerken bij de toekomstig werkgever. Het ontmoeten van collega s, bekend raken met de gebruikte ontwikkelomgeving en de wijze van werken bij de werkgever zijn belangrijke leerdoelen. 42TSEMESTER 24T Studielast van 8 uur per week en 32 uur per week werken bij werkgever Big Data Basics Data Storage & Data Processing De module Big Data Basics behandelt een breed scala van onderwerpen om de student te introduceren in het vakgebied van Big Data. De student verdiept zich in verschillende onderwerpen uit de ICT die benodigd zijn als basiskennis, waarna de het vakgebied Big Data vanuit verschillende invalshoeken wordt bestudeerd. Verschillende begrippen uit de Big Data worden behandeld waarna de theorie, waar mogelijk, toegepast moet worden in praktische opdrachten. Voor deze praktische opdrachten maakt de student kennis met specifieke tools en technieken die gangbaar of representatief zijn voor het daadwerkelijke Big Data werkveld. Naast technische onderwerpen, zal de student zich ook gaan verdiepen in bijkomende onderwerpen zoals ethiek, business models en projectaanpak voor Big Data. In deze module behandelen we twee onderwerpen: 1. Data Storage: Dit betreft de opslag van gegevens in een Big Data omgeving waarbij we de basis van NoSQL databases en HADOOP behandelen. 2. Data Processing: Dit betreft de verwerking van datasets in een Big Data omgeving waarbij we het basisniveau van dataverwerking leren a.d.h.v. programmeren in R. Aan het einde van deze module: heb je basiskennis van NoSQL databases; heb je basiskennis van HADOOP databases; kan je gegevens opslaan in een NoSQL database; kan je gegevens opslaan in een HADOOP database; kan je gegevens verwerken m.b.v. de tool R. Data Analysis & Data Mining In deze module behandelen we de principes waarmee we datasets kunnen analyseren en we kunnen zoeken naar relevante informatie (data mining). We zullen dieper ingaan op verschillende methoden zoals: Clustering; Association; Regression; Classification/ prediction; TextMining. 27

28 Aan het einde van deze module: ken je de concepten van verschillende methoden; heb je verschillende concepten uitgeprobeerd en toegepast; ben je in staat om zelfstandig eenvoudige data analyses te maken a.d.h.v. een tool. Architectuur Deze module behandelt het onderwerp Architectuur, gericht op zowel de Data Warehouse omgeving als de Big Data omgeving. Hoe passen deze omgevingen binnen een enterprise architectuur en hoe kunnen we de sterke en zwakke punten van beide omgevingen optimaal combineren? Aan de hand van voorbeelden zullen verschillende oplossingsrichtingen behandeld en besproken worden. Aan het einde van deze module: ben je bekend de architectuur van een data warehouse en een big data omgeving; kan je de plaats en de rol van het data warehouse en big data in een enterprise architectuur; ben je bekend met verschillende manieren om binnen een organisatie een data warehouse en een big data omgeving op elkaar af te stemmen. Data Visualisatie In deze module krijg je een overzicht van de verschillende technieken van data visualisatie en de verschillende werkvelden waar dit gebruikt wordt. Naast een historisch perspectief van visualisatie worden de nieuwste inzichten in de theorie van visualisatie bekeken. Het doel van de module is dat je leert hoe je deze technieken kan inzetten o.b.v. theorie en praktische oefeningen. Projectopdracht In deze module ga je verder met het project uit semester 1. Hierin ga je een Big Data omgeving maken o.b.v. de kennis uit de modules. Aan de hand van een case worden de opdrachten uitgevoerd voor het verwerken, opslaan, analyseren en visualiseren van Big Data. 28

29 29

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