Modul Name / Module name Master Thesis & Disputation Code:

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Modulbeschreibung – Version 12.03.2008

Modul Name / Module name

Master Thesis & Disputation

Code:

1-07-0-4-0-2-353

Studiengang / Study programme Forest Information Technology (M.Sc.) Semester: 4. Modul Koordinator / Module Coordinator Prof. Dr. Alfred Schultz (at University of Applied Sciences Eberswalde, Email: [email protected])

Ass. Prof. Dr. Michal Zasada (at Warsaw University of Life Sciences)

Ziel / Goal attaining own research results while solving an IT application related design or discoursive scientific problem, and to present as academic personality Inhalt / Content The goal of the Master Thesis is that students work on and independently solve an IT application related problem according to scientific standards within a

limited time. Students show their ability to apply recent scientific results and to derive new consolitated findings on the basis of their topical and methodological knowledge.

Main parts of the thesis are the motivation and practical definition of the topic, the formulation of research targets and questions, the annotated representation of the state-of-the-art including prevailing theories and meanings, as well as the own contribution for reaching the assumed targets.

It is possible to prepare a thesis concerning a question of design (concept and/or implementation of a problem solution) as well as concerning discoursive topics (discussion of theories and published results). A cooperation with companies and organisations is possible as far as reasonable common targets can be found and the necessary scientific quality may be attained.

The public Master Disputation takes 30 minutes and contains questions concerning the thesis, the topical and methodological background of the topic. Schlüsselqualifikationen / Soft skills creativity, self-dependent learning, self-organization and time management

Weiterführende Module / Continuative modules -

Status: mandatory Teilnahmevoraussetzungen / Entry requirements: successfully accomplished all other mandatory and

elective modules of the curriculum ECTS-Credits: 21 Arbeitsaufwand / Workload: total: 630 h

Prüfungsform / Examination form: project presentation, technical discussion Max. Plätze / Max. study places: 25

Dauer / Duration: 6 month Lehrsprache / Teaching language: Englisch Lehrform / Teaching form:

Teilmodul / Module component

Thesis

Dozent / Lecturer responsible supervisor

Ziel / Goal documentation of research results

Inhalt / Content written presentation of research results (Master Thesis) Literatur / References various

Schlüsselqualifikationen / Soft skills creativity, self-dependent learning, self-organization and time management, discipline-related knowledge, discipline-related knowledge about methods, analytical and synthetical thinking

Weiterführende Module / Continuative modules Lehrsprache / Teaching language Lehrform / Teaching form Prüfungsform / Examination form Credits Dauer / Duration Arbeitsaufwand / Workload

English continuously

Teilmodul / Module component

Disputation

Dozent / Lecturer responsible supervisor

Ziel / Goal presentation of research results and as academic personality Inhalt / Content oral presentation of research results

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Schlüsselqualifikationen / Soft skills communication skills

Weiterführende Module / Continuative modules Lehrsprache / Teaching language Lehrform / Teaching form Prüfungsform / Examination form Credits Dauer / Duration Arbeitsaufwand / Workload

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Modul Name / Module name

Forests & Global Carbon Cycle

Code:

1-07-2-4-0-2-104

Studiengang / Study programme Forest Information Technology (M.Sc.) Semester: 2. or 4. Modul Koordinator / Module Coordinator Dr. hab. Albert Dudek ([email protected])

Dozent / Lecturer Dr. hab. Albert Dudek ([email protected])

Ziel / Goal students know the global carbon cycle, the role of forests in it and are able to apply methods for budget and balance calculations

Inhalt / Content Forests as a carbon sink - history, determination, possibilities; forest resources of the world and Europe; production of forest compared to other biomes; forest as a carbon sink; determination of volume and volume increment (methods, accuracy, precision, and implementation)

Literatur / References Materials provided by the lecturer

Schlüsselqualifikationen / Soft skills Intercultural cooperation, conflict management, analytical and synthetical thinking, discipline-related knowledge, discipline-related knowledge about methods Weiterführende Module / Continuative modules Forest Mensuration, Forest Productivity, Forest Ecosystem Modelling

Status: elective Prüfungsform / Examination form: Project report, Written exam (90 min.) Teilnahmevoraussetzungen / Entry requirements: Forest Mensuration Max. Plätze / Max. study places: 25

ECTS-Credits: 3 Dauer / Duration: semester

Arbeitsaufwand / Workload: total: 90 h / semester

2 SWH (I) + 4 SWH (S) Lehrsprache / Teaching language: English

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Modul Name / Module name

Monitoring of Rural Areas by Remote Sensing Techniques

Code:

1-07-0-4-0-2-124

Studiengang / Study programme Forest Information Technology (M.Sc.) Semester: 4 Modul Koordinator / Module Coordinator _{Prof. dr hab. Jerzy Mozgawa (}

[email protected]

₎

Dozent / Lecturer _{Prof. dr hab. Jerzy Mozgawa (}

[email protected]

₎

Ziel / Goal students know contemporary chapters of remote sensing technology, the principles of remotely sensed image interpretation for rural areas monitoring with a landscape ecological approach and are able to select main fields of possible practical application

Inhalt / Content Introduction to contemporary remote sensing (RS) technology; principles of RS image interpretation for rural areas monitoring with ecological landscape approach, and the selection of main fields of possible practical application (IACS, precision agriculture, crop condition evaluation, land use/land cover change, disaster management on the rural areas)

Schlüsselqualifikationen / Soft skills creativity, discipline-related knowledge, discipline-related knowledge about methods, analytical and synthetical thinking, multidisciplinary approaches and organisation practice

Weiterführende Module / Continuative modules

Status: elective Prüfungsform / Examination form: Technical discussion (20 min.) Teilnahmevoraussetzungen / Entry requirements: Geomatics I & II Max. Plätze / Max. study places: 25

Arbeitsaufwand / Workload: total: 90 h / semester 2 SWH (I) + 4 SWH (S))

Lehrsprache / Teaching language: English

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Modul Name / Module name

Forest Inventory

Code:

1-07-0-4-0-2-122

Studiengang / Study programme Forest Information Technology (M.Sc.) Semester: 4 Modul Koordinator / Module Coordinator _{Dr Micha}_ł_{Zasada (}

[email protected]

₎

Dozent / Lecturer _{Dr Micha}_ł_{Zasada (}

[email protected]

₎

Ziel / Goal students have a deepened knowledge of the statistical fundamentals of forest inventory to get various information about forest resources and are able to apply this knowledge for planning and evaluating inventories

Inhalt / Content Representative method; sampling frame construction; sample design; estimation methods; sampling error; examples of forest inventory using various designs Literatur / References Shiver, B.D. & B.E. Borders (1996): Sampling Techniques for Forest Resource Inventory. John Wiley & Sons.

Iles K. (2003): A sampler of Inventory Topics. Kim Iles & Associates

.

Materials provided by the lecturer

Schlüsselqualifikationen / Soft skills creativity, discipline-related knowledge, discipline-related knowledge about methods, analytical and synthetical thinking Weiterführende Module / Continuative modules Data Analysis & Management II, Forest Mensuration, Forest Productivity

Status: elective Prüfungsform / Examination form: Project report (50%), Written exam (90 min.) (50%) Teilnahmevoraussetzungen / Entry requirements: Data Analysis & Management I & II, Forest

Mensuration

Max. Plätze / Max. study places: 25

Arbeitsaufwand / Workload: total: 90 h / semester 2 SWH (I) + 4 SWH (S)

Lehrsprache / Teaching language: English

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Modul Name / Module name

Forest Monitoring

Code:

1-07-0-4-0-2-123

Studiengang / Study programme Forest Information Technology (M.Sc.) Semester: 4 Modul Koordinator / Module Coordinator Prof. Dr hab. Stanisław Miścicki ([email protected])

Dozent / Lecturer Prof. Dr hab. Stanisław Miścicki ([email protected])

Ziel / Goal students know the theoretical principles of forest monitoring as source of information about state and resources of forests and are able to plan monitoring approaches

Inhalt / Content Dynamics of forest; crown development; defoliation; impact of ungulates on forest regeneration; bioindicators; biological monitoring; technical monitoring; monitoring networks

Schlüsselqualifikationen / Soft skills communication skills, discipline-related knowledge, discipline-related knowledge about methods, analytical and synthetical thinking Weiterführende Module / Continuative modules

Status: elective Prüfungsform / Examination form: Written exam (90 min.) Teilnahmevoraussetzungen / Entry requirements: none Max. Plätze / Max. study places: 25

2 SWH (I) + 4 SWH (S)) Lehrsprache / Teaching language: English

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Modul Name / Module name

Social and Market Survey Methods

Code:

1-07-2-4-0-2-106

Studiengang / Study programme Forest Information Technology (M.Sc.) Semester: 2 or 4 Modul Koordinator / Module Coordinator _{Dr hab. Krzysztof Siekierski (Email:}

[email protected]

₎

Dozent / Lecturer _{Dr hab. Krzysztof Siekierski (Email:}

[email protected]

₎ Ziel / Goal students know and are able to apply principles and tools of social and market surveys

Inhalt / Content Qualitative and quantitative methods, questionnaire design, face-to-face interviewing, telephone surveys, on-line interviewing, in-depth interviews, focus group interviews, projective techniques, sampling methods, analysis of data, typical applications of market and social researches

Schlüsselqualifikationen / Soft skills creativity, independent learning, discipline-related knowledge, discipline-related knowledge about methods Weiterführende Module / Continuative modules Introduction to Social Research

Status: elective Prüfungsform / Examination form: Written exam (90 min.) Teilnahmevoraussetzungen / Entry requirements: Data Analysis & Management I & II (Statistics I & II) Max. Plätze / Max. study places: 25

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Modul Name / Module name

Forest Information Systems

Code:

1-07-2-4-0-2-131

Studiengang / Study programme Forest Information Technology (M.Sc.) Semester: 2. or 4. Modul Koordinator / Module Coordinator _{Dr Wiktor Tracz (Email:}

[email protected]

₎

Dozent / Lecturer _{Dr Wiktor Tracz (Email:}

[email protected]

₎

Ziel / Goal students know the relevant topics in nowadays forest ecosystem information systems architecture and are able to apply systems for forest management purposes

Inhalt / Content Tasks and components of Forest Management Information Systems (FMIS), case studies, recognize capabilities of current information systems (IS), chose adequate IS, simulation of different scenarios

Schlüsselqualifikationen / Soft skills self-organization and time management, discipline-related knowledge, analytical and synthetical thinking, transfer ofv knowledge and application

Weiterführende Module / Continuative modules Forest Decision Support Systems, Forest Photogrammetry, GIS & RS in Forest Protection, RS in Monitoring Global Phenomena, Monitoring of Rural Areas by RS

Status: elective Prüfungsform / Examination form: Project report Teilnahmevoraussetzungen / Entry requirements: Geomatics I Max. Plätze / Max. study places: 25

ECTS-Credits: 3 Dauer / Duration: Semester

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Modul Name / Module name

Administration & Management in Forestry

Code:

1-07-2-4-0-2-103

Studiengang / Study programme Forest Information Technology (M.Sc.) Semester: 2 or 4 Modul Koordinator / Module Coordinator _{Dr Krzysztof Janeczko (Email:}

[email protected]

₎

Dozent / Lecturer _{Dr Krzysztof Janeczko (Email:}

[email protected]

₎

Ziel / Goal students know about specific forest processes management and its importance for forest business competitive position and growth and are able to use selected analytical tools for solving economic problems in forestry

Inhalt / Content Methods of forest processes costs calculating, economically optimal technique of forest processes, applying Lagrange’s method in case of limited money forest investments, forest projects budgeting and optimization with Critical Patch Method, linear programming in solving forest economic problems, dealing with economic aspects of non-timber forest functions. Non-timber forest functions influence on forest business financial results will be analyzed and discussed as well.

Schlüsselqualifikationen / Soft skills Conflict management, leadership competences, capacity for teamwork, discipline-related knowledge, management approaches and organisation practice Weiterführende Module / Continuative modules Forest Decision Support Systems

Status: elective Prüfungsform / Examination form: Work report

Teilnahmevoraussetzungen / Entry requirements: none Max. Plätze / Max. study places: 25

ECTS-Credits: 3 Dauer / Duration: semester, continuously

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Modul Name / Module name

Forest Ecosystem Modelling

Code:

1-07-0-4-0-2-121

Studiengang / Study programme Forest Information Technology (M.Sc.) Semester: 4 Modul Koordinator / Module Coordinator _{Dr Micha}_ł_{Zasada (}

[email protected]

₎

Dozent / Lecturer _{Dr Micha}_ł_{Zasada (}

[email protected]

₎

Ziel / Goal students know theoretical fundamentals and are able to apply model based approaches (statistical procedures, ecosystem modelling and computer technology) to problems of forest mensuration and forest management planning

Inhalt / Content Reasons for modeling tree and stand growth; types of growth and yield systems; individual tree volume and taper equations; explicit and implicit models; individual tree models; whole stand models; growth model derivation and analysis; model derivation, data requirements, parameter estimation methods and model validation procedures. Students develop and practice the ability of choosing adequate methods under consideration of the specific needs of forest ecosystems management.

Literatur / References Vanclay, J.K. (2001): Modelling Forest Growth and Yield : Applications to Mixed Tropical Forests. CAB International. Online and other materials provided by the lecturer

Schlüsselqualifikationen / Soft skills Creativity, discipline-related knowledge, discipline-related knowledge about methods, analytical and synthetical thinking, multidisciplinary approaches and methods

Weiterführende Module / Continuative modules Forest Mensuration, Forest Productivity

Status: elective Prüfungsform / Examination form: Project report Teilnahmevoraussetzungen / Entry requirements: Statistics II, Forest Mensuration, Forest Productivity Max. Plätze / Max. study places: 25

ECTS-Credits: 3 Dauer / Duration: Semester

Lehrform / Teaching form: lecture (40%), practical exercise (30%), project (30%)