Master of Applied Computer Science 20152017 Content This study programme Software Integration is the specialization within the Master’s degree Master of Applied Computer Science (MACS), and is an advanced programme for students who aim for a career in applied computer science. MACS Software Integration is the solicitation of classic and leading edge computing concepts and technologies, applied at different levels from system development to project analysis, project management and consulting. Applied computing is both a professional discipline and an academic field, aiming to bridge the technical capabilities of IT with organizations’ needs. Applied Computing is the application of classic and leading edge computing concepts and technologies to different current problem areas. These concepts and technologies can be applied at the different levels of system development from project analysis and implementation to project management and maintenance. MACS Software Integration aims at educating the next generation of technical leaders, architects, developers, innovators, and entrepreneurs as they learn how to turn research findings into practical applications. Candidates will achieve an advanced knowledge in the areas of architecture, integration and modern software systems, in
terms of theories, knowledge claims, research methods and professional standards. They will be able to apply this knowledge, and to reflect on how applied computing systems contribute to bridge the cap between business and societal aims. Candidates will take responsibility for solving complex tasks and conducting a research project at a high standard in an organisation/company. This includes the ability to choose the appropriate research approach, to choose or develop a solution, to handle relationships ethically and professionally, and to evaluate and communicate the results in a systematic way. Name Master of Applied Computer Science – Software Integration Program + introduction The program is run over two years (full time) or three years (part time). The first year offers eight courses (four in part-time mode). The second year offers two courses, and a Master Dissertation. Objectives Knowledge: Candidates will have an advanced knowledge of applied computing as a research field, in terms of theories, knowledge claims, research methods, tools, technologies and professional standards. They will be able to apply this knowledge, and to reflect on how

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applied computing contributes to close the gap between research findings, business needs and societal aims. Skills: Candidates will acquire practical skills in analysing complex organizational problems, research issues and technology innovation opportunities. They will be able to design, develop and evaluate solutions. Candidates will also have strong skills in applying research methods, research design and analysis techniques. Competence: Candidates will take responsibility for solving complex tasks and conducting a research based IT project at a high standard in an organisation. This includes the ability to choose the appropriate research approach to choose and/or develop a solution, to act professionally and ethically, and to evaluate and communicate the results in a systematic way. Central topics First Year The first year provides the students with knowledge and skills in Applied Computer Science, including design research, project management, big data, emerging technologies, innovation, architecture, mobile computing and interactive / intelligent systems. Second Year This year has a stronger focus on competence, aiming at synthesising knowledge and skills into the ability to conduct projects. The shared courses of the second year prepare the student for the Dissertation. During the Dissertation the student will be able to draw on and integrate all these resources. During the third semester an internship in industry is recommended. Job opportunities A successful solution requires competence in tools, technology and business. With a Master´s degree in Applied Computer Science, Software Integration, you can work in many roles such as: • Chief Technology Officer (CTO) • Project Manager • Architect • Consultant • System Developer • IT Expert Exchange For outgoing students, it has established student exchange agreements with the following institutions:  Brunel University in London, UK  Arcada University of Applied Sciences, Helsinki, Finland  Universidad de Granada in Spain

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

University of Skövde in Sweden

Further studies After completing the Master’s programme, the candidate is formally qualified for a PhD study in a related area of research. Prerequisites A Bachelor Degree Teaching methods The programme uses a number of varied forms of teaching in order to encourage learning.        

Lectures to introduce theoretical issues and domain knowledge. Seminars and group work, to give the students the opportunity to discuss different perspectives, integrate with previous knowledge, and practice analytical assessment with case materials. Practical assignments and lab work, to develop hands-on technical skills. Directed and student-selected readings, to develop a solid knowledge base. Technical demonstrations, to present and convey the technical workings and user interaction aspects of an IT artefact Oral presentations, to develop personal communication skills. Essay and dissertation writing, in order to synthesize knowledge and present analyses and results. Supervision, to provide detailed feedback and discussion of student projects in close interaction with Westerdals researchers.

Code Emnets navn MA110 Systems Development MA120 Big Data MA130 Visual Analytics Integration Oriented MA140 Architecture MA210 Mobile Computing MS210 Agile Project Management Architecting the Internet of MA220 Things MA230 Interactive Technologies MS310 Consulting and Leadership MS330 Practice Period MS320 Research Methods MS401 Master dissertation

Credits O/V *) 7.50 7.50 7.50

O O O

7.50

O

7.50 7.50

O O

7,5 7,5

7.50

O

7,5

7.50 7.50 15.00 7.50 30.00

O O O O O Total:

7,5

*) O - Mandatory course, V - Optional course

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Credits pr. semester S1(A) S2(S) S3(A) S4(S) S5(A) S6(S) 7,5 7,5 7,5 7,5

7,5 15 7,5 30

30

30

30 30

0

0

MA110 Systems Development Master Code MA110 Course Systems Development ECTS (European Credit Transfer System) 7.50 Course leader Ravi Vatrapu & Tor-Morten Grønli Date of approval Aim Students will gain knowledge of models, theories, and frameworks for information systems development from the research traditions of Action Research, Design Science, Scandinavian Participatory Design, and Engaged Scholarship. Students will obtain an overview of the technologies, tools, and platforms central to the upcoming courses Master programme. Students will also gain knowledge of software documentation, data collection, data analysis, and technical writing. Prerequisites None Learning outcomes A candidate who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence Knowledge: On successful completion of this course the candidate:   

has advanced knowledge of Design Science, Scandinavian Participatory Design, and Engaged Scholarship has advanced knowledge of the key technologies, tools, and platforms used in software integration has advanced knowledge of important constraints related to information systems development lifecycle

Skills:

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On successful completion of this course the candidate:   

can analyse the different research modes available for information systems development projects can identify and choose the appropriate methods, tools, techniques and frameworks for a given information systems development project can conduct projects with proper software documentation, data collection, data analysis, and technical writing.

General competence: 

can describe and discuss research issues and practical challenges in information systems development



can select the appropriate models, theories, and frameworks for technology integration oriented information systems development



can identify and analyse research ethics in information systems development

Structure The course is structured in block mode for four weeks. The first three weeks will be a combination of lectures and presentations in class. The last week is for self-study and essay writing. Recommended workload Aktivitet Deltakelse i undervisning

Tidsbruk

Selvstudium

76

Forberedelse til presentasjon/diskusjon i klassen

15

Øving

55

Vurdering

18

Anbefalt tidsbruk totalt

200

36

Grading system Letter grades A-E for passed and F for failure Type of assessment Innlevering Literature: Title A course pack with selected papers will be handed out on start of module Design science research methods and patterns

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Author

Publisher Published ISBN

Version Comment Type Litterature Bok Pensum

Vaishnavi & Kuechler

CRC press

2015

9781498715256 2

Bok Pensum

MA120 Big Data Master Code MA120 Course Big Data ECTS (European Credit Transfer System) 7.50 Course leader Naimdjon Takhirov Date of approval Aim Students will gain advanced knowledge of key theories and concepts of big data analytics. They will acquire specialised problem-solving skills, being able to bring together several key technologies used in manipulating, storing, and analysing big data. They shall take responsibility to conduct the planning and implementation of activities and evaluate the organisations value of big data analytics. Learning outcomes A candidate who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence: Knowledge: On successful completion of this course the candidate:  

has thorough knowledge of the theoretical and practical concept of big data analytics. has advanced knowledge of methods and tool for manipulating, storing and analysing big data.

Skills: On successful completion of this course the candidate:   

can use Hadoop and related tools that provide SQL-like access to unstructured data. can analyze NoSQL storage solutions such as HBase, Cassandra, Oracle NoSQL or similar, for their critical features. can examine memory resident databases and streaming technologies which allow

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

analysis of data on the flight. can use public or private Cloud as a resource for big data analytics.

Generalcompetence:  

can design highly scalable systems that can accept, process, store, and analyse large volumes of unstructured data in (near) real time. can critically evaluate ethical issues related to big data analytics.

Structure The course is structured in block mode for four weeks. The first three weeks will be a combination of lectures and presentations in class. The last week is for self-study and essay writing. Recommended workload Aktivitet Deltakelse i undervisning

Tidsbruk

Selvstudium

76

Forberedelse til presentasjon/diskusjon i klassen

25

Øving

45

Vurdering

18

Anbefalt tidsbruk totalt Technology and tools

200

36

Pig and Hive, HBase, ZooKeeper, Cassandra, MongoDB, MemcacheDB, Storm. Grading system Letter grades A-E for passed and F for failure Type of assessment Innlevering Literature: Publis Published ISBN Version her O'Reill y Media 978-1-44932012 3 / 1152-0 Yahoo Press

Title

Author

Hadoop: The Definitive Guide

Tome White

Mining of Massive Datasets

Leskovec J., Rajaraman A., Ullman J.

NoSQL A brief guide to

Sadalage, Addis 2012 P. G. and on

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2014 (Online)

2

9780321826626

Comment

Type

Litterature

Bok

Pensum

Book available from: http://infola b.stanford.edu/~ul lman/mmds/book. Bok pdf

Bok

Støttelittera tur

Pensum

the emerging Fowler, world of M polyglot persistence Selected papers will be made available at start of the course

Wesle y

Tidsskri Pensum ft

MA130 Visual Analytics Master Code MA130 Course Visual Analytics ECTS (European Credit Transfer System) 7.50 Course leader Ravi Vatrapu Date of approval Aim Students will gain knowledge about theoretical principles of and computational techniques for visual analytics. The course will enable students to design, develop, and evaluate information dashboards for organizations. The students shall be able to reflect upon the different models, theories, and frameworks for technology integration from a visual analytics perspective. Prerequisites Basic knowledge of human-computer interaction and good programming skills Learning outcomes A candidate who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence: Knowledge: On successful completion of this course the candidate:  

has advanced knowledge of the theoretical principles in visual analytics has thorough knowledge of the key technologies, tools, and platforms for visual analytics such as D3 for Data-Driven Documents, Google Charts API, Tableau,

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

Many Eyes etc. has advance knowledge of important constraints related to the design, development, and evaluation of information dashboards

Skills: On successful completion of this course the candidate:   

can analyse the different visual analytics principles and techniques such as focus+context, overview+detail, linking and brushing, pan and zoom etc. can select and apply the appropriate principles, methods, tools and techniques for a given dataset to order to create a meaningful and actionable information dashboard can do proof-of-concept design, evaluation, and documentation of an information dashboard from a dataset

General competence:   



can describe and discuss research issues and practical challenges in visual analytics can reflect upon the different models, theories, and frameworks for technology integration from a visual analytics perspective can identify and choose the appropriate principles, methods, tools and techniques for a given dataset to order to create a meaningful and actionable information dashboard can communicate the role of visual analytics in data-driven decision-making

Structure The course is structured in block mode for four weeks. The first three weeks will be a combination of lectures and presentations in class. The last week is for self-study and essay writing. Recommended workload Aktivitet Deltakelse i undervisning

Tidsbruk

Selvstudium

76

Forberedelse til presentasjon/diskusjon i klassen

25

Øving

45

Vurdering

18

36

Anbefalt tidsbruk totalt 200 Grading system Letter grades A-E for passed and F for failure Type of assessment Innlevering Literature:

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Title Author Information Visualization Perception Colin for Design Ware Selected papers will be made available at start of the course

Publisher Published ISBN 978-0-12Elsevier 2012 381464-7

Version Comment Type Litterature 3

Bok Pensum Bok Pensum

MA140 Integration Oriented Architecture Master Code MA140 Course Integration Oriented Architecture ECTS (European Credit Transfer System) 7.50 Course leader TBA Date of approval Aim To give the students analytical skills, development methodology and technological skills in order to analyze, plan and implement technology integration projects. The course will be taught in the context of enterprise systems and distributed systems, which means that issues of network protocols, scalability and security will be emphasized. Learning outcomes A candidate who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence: Knowledge On successful completion of this course the candidate:     

has advanced knowledge of theories on heterogeneity, portability and interoperability has advanced knowledge of theory and technology on Service Orientation has advanced knowledge of architecture models, middleware has knowledge of principles of Identity Management in large scale systems has thorough knowledge of integration strategies (encapsulation, conversion, reengineering)

Skills

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On successful completion of this course the candidate:   

can analyze integration problem from perspectives of error handling, resilience, data consistency, security etc. can select and use a range of integration technologies (SOA, MOM, other middleware) can do proof-of-concept development, testing and demonstration

Generalcompetence On successful completion of this course the candidate:   

can suggest and evaluate integration plans can analyze past projects in order to improve existing methods can contribute with a modern perspective to large scale integration activities

Structure The course is structured in block mode for four weeks. The first three weeks will be a combination of lectures and presentations in class. The last week is for self-study and essay writing. Recommended workload Aktivitet

Tidsbruk

Deltakelse i undervisning

36

Selvstudium

76

Forberedelse til presentasjon/diskusjon i klassen

25

Øving

45

Vurdering

18

200 Anbefalt tidsbruk totalt Grading system Letter grades A-E for passed and F for failure Type of assessment Innlevering Literature: Title Author A course pack with selected papers will be handed out on start of module Bass, L., Software Architecture Clements, P. in Practice and Kazman, R.

Publisher

Published ISBN

Litterature

Tidsskrift Pensum

AddisonWesley Professional

2012

9783 0321815736

MA210 Mobile Computing TMG/xx.xx.2016

Version Comment Type

Bok

Pensum

Master Code MA210 Course Mobile Computing ECTS (European Credit Transfer System) 7.50 Course leader George Ghinea Date of approval Aim Students will gain in depth knowledge of mobile application development and user interaction. Students will further acquire knowledge of theories/models of mobile and pervasive computing applications, technologies and common research paradigms in mobile and pervasive computing such as context awareness, computing in an environment with limited resources, sensor-based interaction, and smart-device management. They will acquire skills in application design, architecture and implementation. Students will be expected to be able to analyse, discuss and critically reflect upon theories and research issues in mobile and pervasive computing. Prerequisites Intermediate programming skills, basic knowledge of distributed systems and/or computer networking Learning outcomes A candidate who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence: Knowledge: On successful completion of this course the candidate: 

  

has thorough knowledge of key paradigms and concepts in mobile computing such as context awareness, computing in an environment with limited resources, sensorbased interaction , and smart device management has advanced knowledge and understanding of the mobile user experience has advanced knowledge of theories/models in mobile computing has advanced knowledge of the main challenges in mobile computing

Skills:

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On successful completion of this course the candidate:   

can plan, describe and sketch a mobile computing architecture can design and implement a mobile computing solution can assess business value potential of a mobile computing solution

General competence: 



can describe and discuss research issues in mobile computing such as mobile architecture, mobile cloud computing, user interface and user experience related issues can critically evaluate ethical issues related to mobile computing

Structure The course is structured in block mode for four weeks. The first two weeks will be a combination of lectures, in-class demonstrations, case studies, in-class presentations and lab work. Guest lectures might be organized on chosen topics. Students work in groups under supervision. The last week is for self-study and project work. Recommended workload Aktivitet

Tidsbruk

Deltakelse i undervisning

36

Selvstudium

64

Forberedelse til presentasjon/diskusjon i klassen

25

Øving

-

Vurdering

75

200 Anbefalt tidsbruk totalt Grading system Letter grades A-E for passed and F for failure Type of assessment Innlevering Literature: Title Selected article will be made available on course page Ubiquitous Computing: Smart Devices, Environments and Interactions

Author Publisher Published ISBN

Version Comment Type

Tidsskrift Pensum Poslad Wiley

2009

9780470035603

1

MA220 Architecting the Internet of Things Master TMG/xx.xx.2016

Litterature

Bok

Pensum

Code MA220 Course Architecting the Internet of Things ECTS (European Credit Transfer System) 7.50 Course leader Tor-Morten Grønli Date of approval Aim The aim of the course is to introduce the Internet of Things (IoT) from a technical perspective. Emphasis is invested in relating the contemporary IoT theme to general distributed systems models and more specific aspects of IoT systems such as a general IoT systems model, key protocols for wired, architecture and wireless IoT systems software and hardware design for IoT. Prerequisites Basic knowledge of distributed systems and computer networking Learning outcomes A candidate who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence: Knowledge: On successful completion of this course the candidate:   

has thorough knowledge of the Internet of Things from a systems perspective has advanced knowledge of the key protocols in relation to RFID, different ambient sensors, embedded systems, and smartphones has thorough knowledge of important constraints related to design of IoT components

Skills: On successful completion of this course the candidate: 



can analyse different products within IoT (e.g., RFID, sensors, mobile devices, smart house, etc.) from a technical systems perspective and address technical challenges related to specific functions can identify and choose the right components and architecture for a given IoT system

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

can do proof-of-concept development, testing, and demonstration of an IoT system

General competence:   

can describe and discuss research issues in and industry applications of Internet of Things (IoT) can reflect upon the opportunities within Internet of Things (IoT) for technology integration can critically evaluate ethical issues related to IoT.

Structure The course is structured in block mode for four weeks. The first two weeks will be a combination of lectures, in-class demonstrations, case studies, in-class presentations and lab work. Guest lectures will be organized on chosen topics. Students work in groups under supervision. The two last weeks are for self-study, project work and oral exam. Recommended workload Aktivitet Deltakelse i undervisning

Tidsbruk 48

Selvstudium

76

Forberedelse til presentasjon/diskusjon i klassen

25

Øving

-

Vurdering

51

200 Anbefalt tidsbruk totalt Grading system Letter grades A-E for passed and F for failure Type of assessment Innlevering Literature: Title Architecting the Internet of Things Internet of Things

Author Publisher Published ISBN Version Comment Type Litterature Uckelmann, D. 978Harrison, M. and Springer 2011 1 Bok Støttelitteratur 3642191565 Michahelles, F. Arshdeep Bahga and 978VPT 2014 1 Bok Pensum Vijay Madisetti 0996025515

Selected articles will be made available at start of course

MA230 Interactive Technologies Master Code

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Bok Pensum

MA230 Course Interactive Technologies ECTS (European Credit Transfer System) 7.50 Course leader Ravi Vatrapu Date of approval Aim The aim of the course is to design, develop and evaluate interactive technologies with a focus on the enterprise context of use. Students will be immersed in a pedagogical experience that covers the full spectrum of design, development, use and evaluation of innovative and interactive enterprise technologies using smartphones, tablets, motion controllers, touch tables, and touch walls. Natural User Interfaces (NUI) will be a special focus of the course. Students will use state-of-the-art mobile eye-tracking solutions to evaluate the applications/products designed and developed. Prerequisites Good programing skills and basic design knowledge Learning outcomes A candidate who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence: Knowledge On successful completion of this course the candidate:   



has advanced knowledge of the aspects of and issues in Graphical User Interfaces (GUI) and Natural User Interfaces (NUI) and their role in software integration has thorough knowledge of the interactive systems lifecycle process (from envisioning to realization) with a focus on software integration has thorough knowledge of the tools and technologies (e.g., SDKs, IDEs, smartphones, tablets, motion controllers, touch tables, and touch walls) required to create interactive technologies can apply important theories, models, and frameworks from human computer interaction, software engineering, and information systems towards design, development, and evaluation of interactive technologies

Skills On successful completion of this course the candidate: 

can analyze and deal critically with the design principles and technical

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



documentation for envisioning and realizing interactive enterprise technologies can analyze existing theories, methods and interpretations in the field of interactive technologies and work independently on practical and theoretical problems with (e.g., smartphones, tablets, motion controllers, touch tables, and touch walls) and their applications in both current and near-future organizational context can carry out an independent development of an interactive technologies project under supervision and in accordance with applicable norms for research ethics

General competence On successful completion of this course the candidate:    

can apply his/her knowledge and skills in new areas in order to carry out advanced assignments and projects can analyze relevant academic, professional and research ethical problems with interactive technologies can communicate about academic issues, analyses and conclusions with regard to interactive technologies, both with specialists and the general public can contribute to new thinking and innovation processes using interactive technologies

Structure The course is structured in block mode for four weeks. The first two weeks will be a combination of lectures, in-class demonstrations, case studies, in-class presentations and lab work. Guest lectures will be organized on chosen topics. Students work in groups under supervision. The two last weeks are for self-study, project work and oral exam. Recommended workload Aktivitet

Tidsbruk

Deltakelse i undervisning

48

Selvstudium

64

Forberedelse til presentasjon/diskusjon i klassen

25

Øving

0

Vurdering

63

Anbefalt tidsbruk totalt Grading system Letter grades A-E for passed and F for failure Type of assessment Innlevering Literature: Title Author Publisher Designing Interactive Systems: A Pearson Benyon, Comprehensive Guide to HCI and Education D Interaction Design Canada.

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Published ISBN 2010

9780321435330

Version Comment Type Litterature 2

Bok Pensum

MS210 Agile Project Management Master Code MS210 Course Agile Project Management ECTS (European Credit Transfer System) 7.50 Course leader Tor-Morten Grønli External examiner Ketil Stadskleiv Date of approval Aim Organizations need to develop project managers who can complete projects on time, within budget and and to the right quality. This course addresses challenges such as the ability to manage projects, stakeholders, risk and do agile planning. Students will gain advanced knowledge of the key theories of project management and agile development. They will acquire specialised problem-solving skills, being able to plan and run a timeboxed iteration, and to use a project management tool. They shall take responsibility to conduct plan, organise and control an agile IS project. Prerequisites Introduction to Research Learning outcomes After completing the course the student will be able to: Knowledge - Describe main theories of agile project management - Define key concepts related to project management - Identify and discuss agile project management methodologies Skills

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- Evaluate and assess risks in a project - Recognize and mitigate the early sources of failure in the project life cycle - Apply estimation techniques to a project requirements specification - Create and evaluate project plans in a project management tool (Atlassian Jira) - Run a time-boxed, incremental, iteration Competence - Understand the implications, challenges, and opportunities of organizational dynamics in project management - Critically evaluate project management teams in an organisation Structure Block teaching for four weeks. There will be class teaching three days a week for the two first weeks. The course is structured as a combination of class teaching, group collaboration and presentation in class. Recommended workload Aktivitet

Tidsbruk

Deltakelse i undervisning

36

Selvstudium

76

Forberedelse til presentasjon/diskusjon i klassen

10

Øving

23

Vurdering

55

Anbefalt tidsbruk totalt Technology and tools

200

Atlassian Jira Studio Grading system Letter grades A-E for passed and F for failure Curriculum Schwaber, Ken. Agile project management with Scrum. Microsoft Press, 2004. Cohn, Mike. Agile estimating and planning. Prentice Hall, 2005. Moe, N.B. Dingsøyr, T. and Dybå, T. (2008). A teamwork model for understanding an agile team: A casestudy of a Scrum project. Information and Software Technology,

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52(5):480-491.
 Rico, D. (2010) Lean and Agile Project Management: For Large Programs and Projects. In Lecture Notes in Business Information Processing, volume 65, part 1
 Thiry,M. (2010) Program and Agile Management: Two birds of a feather?. PM World Today, 12(12):1-12. Wysocki, R. (2009). Effective Project Management: Traditional, Agile, Extreme, 5th Edition. Wiley Type of assessment Innlevering Literature: Title Agile estimating and planning. Agile project management with Scrum.

Author Cohn, Mike Schwaber, Ken

Publisher

Published ISBN 978Prentice Hall 2005 0131479418 Microsoft 9782004 Press 0735619937

Version Comment Type Litterature 1

Bok Pensum

1

Bok Pensum

MS310 Consulting and Leadership Master Code MS310 Course Consulting and Leadership ECTS (European Credit Transfer System) 7.50 Course leader Eivind Brevik External examiner Lars Erik Aas, PDMT Date of approval Aim This course focuses on the soft skills in management of information systems. Students will gain advanced knowledge of theories on leadership, change agents, ethics and required skills within IT-consultancy. They will acquire specialised problem-solving skills, being able to master the personal and organisational techniques required to participate in a change process, practising leadership and developing professional skills

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within consulting. They shall take responsibility to conduct a minor consulting project thru an agreement, plan and evaluation. Prerequisites First year of Master programme Learning outcomes After successfully completing the course the student will be able to: Knowledge: 

Explain theories on organisational change and change management, leadership, ethics and human resources within knowledge based organisations

Skills:  

Analyse case studies and research into the success (and failure) of IT-driven organisational change Use oral, negotiational and analytical skills as a change agent within organisational development

Competence:  

Plan, implement and evaluate a minor consulting project Critically evaluate ethical issues related to leadership and consultancy

Structure The course is structured in block mode for four weeks. The first two weeks will be a combination of lectures and presentations in class. The two last weeks are for self-study and essay writing. Recommended workload Aktivitet

Tidsbruk

Deltakelse i undervisning

36

Selvstudium

59

Forberedelse til presentasjon/diskusjon i klassen

20

Øving

30

Vurdering

55 200

Anbefalt tidsbruk totalt Grading system Letter grades A-E for passed and F for failure Type of assessment Innlevering Literature:

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Title Management Consultancy Managing the Information Technology Resource. Skilled interpersonal communication: research, theory, and practice.

Author O’Mahoney, J. and Markham, C.

Publisher Published ISBN Version Comment Type Litterature University of Oxford Press, 2013 9780199645473 2nd Bok Pensum UK Pearson Prentice Luftman, Jerry Hall, Upper B005DIL7LU 2009 3rd Bok Pensum N. Saddle River, NJ (Kindle) 07458, USA. Hargie, Owen London: and Dickson, Routledge D.

2011

9780415432047

Bok Pensum

MS320 Research Methods Master Code MS320 Course Research Methods ECTS (European Credit Transfer System) 7.50 Course leader Asle Fagerstrøm External examiner Jon Iden Date of approval Aim Aim The aim of the course is to provide a methodological foundation for the Master dissertation. Students will gain knowledge about relevant methods for IS and Applied Computer Science. They will acquire specialised problem-solving skills, being able to conduct a systematic data collection and analysis. They shall take responsibility to conduct the steps of a research project, according to professional and ethical standards. Learning outcomes After successfully completing the course the student will be able to: Knowledge:  

Describe main research methods, such as surveys, case studies, design research and experiments Assess critically and ethically the suitability of a method for a research issue

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Skills:   

Conduct a data collection process, both on qualitative and quantitative data Conduct a data analysis process, both on qualitative and quantitative data Present findings, appropriate for the target group

Competence:   

Analyse a dissertation topic, and select and justify an appropriate research approach Design and plan a research project Assess issues and challenges on validity

Structure The course is structured in block mode for four weeks. The first three weeks will be a combination of lectures and presentations in. The last week are for self-study and essay writing. Recommended workload Aktivitet

Tidsbruk

Deltakelse i undervisning

36

Selvstudium

76

Forberedelse til presentasjon/diskusjon i klassen

10

Øving

28

Vurdering

50

Anbefalt tidsbruk totalt Technology and tools

200

Excel. for quanitative analysis Grading system Letter grades A-E for passed and F for failure Curriculum Davison, R., Martinsons, M., & Kock, N. (2004). Principles of canonical action research. Information Systems Journal, 14(1), 65-86. Hevner, A., March, S., Park, J., and Ram, S. “Design Science in Information Systems Research,” MIS Quarterly (28:1) 2004, pp. 75-105. Myers, M. D. "Qualitative Research in Information Systems," MIS Quarterly (21:2), June 1997, pp. 241-242. MISQ Discovery, archival version, June 1997, http://www.misq.org/discovery/MISQD_isworld/. MISQ Discovery, updated version, last modified: February 17, 2011.

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Straub, Detmar, David Gefen, and Marie-Claude Boudreau (2004). "The ISWorld Quantitative, Positivist Research Methods Website," (Ed) Dennis Galletta, http://www.dstraub.cis.gsu.edu:88/quant/. Last updated: January 7, 2005." Straub, Detmar W., David Gefen and Marie-Claude Boudreau, "Quantitative Research," In Research in Information Systems: A Handbook for Research Supervisors and Their Students, D. Avison and J. Pries-Heje (Ed.), Elsevier, Amsterdam, 2005, 221-238. Davis, F. D. (1989). Perceived usefulness perceived ease of use, and user acceptance of information technology.MIS Quarterly, 13(3), 319-340.Kai-Lung Hui, Hock Hai Teo, and Sang-Yong Tom Lee (2007). The Value of Privacy Assurance: An Exploratory Field Experiment, MIS Quarterly, 31(1), 19-33. Kai-Lung Hui, Hock Hai Teo, and Sang-Yong Tom Lee (2007). The Value of Privacy Assurance: An Exploratory Field Experiment, MIS Quarterly, 31(1), 19-33. Type of assessment Innlevering Assessment Exam: 40% Essay: 60% Literature: Title

Author

Case Study Research

Yin, R. K.

Design Science Research Methods and Patterns: Innovating Information and Communication Technology Researching Information Systems and Computing. Statistical Analysis: Microsoft Excel 2010

Vijay K. Vaishnav and Jr. Kuechler William

Publisher Sage Publications

Published ISBN

Version Comment Type Litterature

2009

4

Auerback Publications, Taylor & Francis Gropu

2015

9780 1498715256

Oates, B.J.

Sage

2006

Carlberg, C

Que Publishing, 2011 US

MS330 Practice Period Master Code MS330 Course Practice Period ECTS (European Credit Transfer System)

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Bok Støttelitteratur

Bok Pensum

Bok Pensum Bok Støttelitteratur

15.00 Course leader Hanne Sørum External examiner Kim Normann Andersen Date of approval 29/08/2014 Aim The aim of this course is to provide a systematic understanding and critical awareness, based on relevant theories, in regards to a business-specific problem within the field of Information Systems or Applied Computer Science. Learning outcomes After successfully completing the course the student will be able to: Knowledge: - Understand the main research areas within Information Systems or Applied Computer Science. - Explain the main theories of a relevant business problem and/or challenges in a chosen business domain. Skills: - Identify Information Systems or Applied Computer Science related problems, based on practical experience and/or investigation. - Conduct, report and evaluate a significant programme of research and solution related to a relevant problem within a specific business or organisation. - Conduct and write a structured and comprehensive literature review pertaining to a spesific research topic. Competence: - Demonstrate the ability to integrate a practical business experience and relevant Information Systems or Applied Computer Science theories, in order to develop a robust and sound solution to a challenge/problem. - Be able to critical evaluate and discuss challenges/problems concerning a relevant business problem and/or challenges in a chosen business domain. Structure The course will be a combination of lectures, seminars, presentations, as well as practical experience in an industry. The student will gain industry experience by either an industry internship or hands-on study and contact with a public or private business. In seminars the student will present and discuss relevant topics, theories and present on-going work with fellow students and academic staff. Each student will be assigned a contact person from Westerdals – Oslo ACTs academic staff, and will have regular contact throughout the practice period. TMG/xx.xx.2016

The students must complete two work requirements assigned by the lecturer. The work requirements will be graded as Approved/Not approved. The work requirements must be graded approved before the student can have his/her grading on the written essay. Recommended workload Aktivitet Participation in class

Workload 15

Self-study

300

Preparation for presentation/discussion in class

25

Exercise

10

Assessment (Written essay)

50

400 Total recommended workload Grading system Letter grades A-E for passed and F for failure Curriculum Webster, J. and Watson, R. T. (2002), "Analyzing the Past to Prepare for the Future: Writing a Literature Review", MIS Quarterly, Volume 26 (2). Type of assessment Innlevering Literature: Title Engaged Scholarship - A Guide for Organizational and Social Research How to Write Dissertations & Project Reports

Author

Publisher Published ISBN Version Comment Type Litterature Oxford Van de Ven, University 2007 9780199226290 Bok Pensum A. H. Press Weyers, J. and Pearson 2011 9780273743835 Bok Pensum McMillan, K. Prentice Hall

MS401 Master dissertation Master Code MS401 Course Master dissertation ECTS (European Credit Transfer System) 30.00 Course leader TMG/xx.xx.2016

Asle Fagerstrøm External examiner tba Date of approval Aim The aim of this course is to provide the student with an opportunity to develop systematic understanding and critical awareness on the solution of a relevant problem in the student’s focal area. Students will gain advanced knowledge of the research process at Master level in information systems or applied computer sciences, including a deep knowledge of selected theories. They will acquire specialized problem-solving skills, being able to plan and conduct the steps in the research or development process at a high methodological standard. They shall take responsibility to conduct a well planned and executed project at Master level. Prerequisites First year of Master programme, Practice Periode and Research Methods. Learning outcomes After successfully completing the course, the student will be able to: Knowledge:   

Demonstrate critical awareness of key theories within the focal area and the interface with related fields. Demonstrate critical awareness of key theories and the interface with related fields. Identify related problems in business and public sector and assess an appropriate methodological approach.

Skills:    

Demonstrate advanced thinking skills (e.g., synthesis, reasoning, judgement and reflection). Demonstrate a comparative understanding of the methods of research and evaluation relevant to focal area and the chosen business case of study. Conduct, report and evaluate a programme of research and solution related to a relevant problem within a business or public sector. Demonstrate competent project management skills (e.g., set objectives, plan and manage workload(s) and deliverables, monitor outcomes and manage time).

Competence:  

Demonstrate the ability to integrate practical business experience with relevant theories to develop the student’s professional competence. Demonstrate the ability to reflect (critically) on content, approaches, techniques and tools.

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

Contribute to professional knowledge and practice based on own original and high quality research and practice.

To take responsibility to conduct a well planned and executed project at Master level. Structure The course will be a combination of lectures, seminars, presentations, as well as literature review and writing of the dissertation. The course will be given during the fourth semester of the programme. Each student will be assigned a supervisor from Westerdals – Oslo ACT academic staff, and will have regular contact throughout the dissertation. Recommended workload Aktivitet

Tidsbruk

Participation in class

10

Self-study

390

Preparation for presentation/discussion in class

0

Exercise

0

Assessment (writing dissertation)

400 800

Anbefalt tidsbruk totalt Technology and tools None. Grading system Letter grades A-E for passed and F for failure Type of assessment Innlevering Literature: Title Author How to Write Weyers, J. and Dissertations & Project McMillan, K. Reports

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Publisher Pearson Prentice Hall, UK.

Published ISBN 2011

Version Comment Type Litterature

9780273743835 2

Bok Pensum