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Sectores rurales cercanos a caminos y/o senderos con bosque, matorral o

N2. The laboratory place having computer with Internet access N3. Stand-alone working

N4. Working in the team

EVALUATION OF SUBJECT EDUCATIONAL EFFECTS ACHIEVEMENT Evaluation (F – forming (during semester), P – concluding (at semester end) Educational effect number

Way of evaluating educational effect achievement

F1 PEK_W01, PEK_W02, PEK_W03, PEK_W04, PEK_W05, PEK_W06 Final Test F2 PEK_U01 PEK_U02 PEK_U03 PEK_K01

Rating for problems resolved during laboratory form

P = 0.3*F1 + 0.7*F2

PRIMARY AND SECONDARY LITERATURE PRIMARY LITERATURE:

[1] [1] M. Sonka , V. Hlavac, R. Boyle – Image Processing , Analysis and Machine Vision [2] R. Klette , P. Zamperoni – Handbook of Image Processing Operators

[3] Willis J. Tompkins Biomedical Digital Signal Processing

[4] R. Tadeusiewicz , P. Korohoda – Komputerowa analiza i przetwarzanie Obrazów

SECONDARY LITERATURE:

[1] J.R. Parker – Algorithms for Image Processing and Computer Vision [2] M. Petrou, P. Bosdogiani, Image Processing The Fundamentals [3] J. Serra Mathematical morphology and image analysis

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRESS) Wojciech Tarnawski, e-mail: [email protected]

MATRIX OF CORRELATION BETWEEN EDUCATIONAL EFFECTS FOR SUBJECT

Digital signal and image processing

AND EDUCATIONAL EFFECTS FOR MAIN FIELD OF STUDY Computer Science

AND SPECIALIZATION Applied Computer Engineering in Medicine

Subject educational effect

Correlation between subject educational effect and educational effects defined for main field of study and

specialization (if applicable)**

Subject objectives***

Programme content*** Teaching tool

number***

PEK_W01 (knowledge)

S1IMT_W05 C1 Lec 1 N1

PEK_W02 S1IMT_W05 C1 Lec1 N1

PEK_W03 S1IMT_W05 C1 Lec2, Lec4, Lec5, Lec6 N1

PEK_W04 S1IMT_W05 C1 Lec3 N1

PEK_W05 S1IMT_W05 C1 Lec5, Lec6 N1

PEK_W06 S1IMT_W05 C1 Lec8,Lec9,

Lec10,Lec11

N1

PEK_U01 (skills) S1IMT_U10 C2,C3 Lab1, Lab5,Lab3 N2,N3

PEK_U02 S1IMT_U10 C2,C3 Lab3,Lab4,Lab6 N2,N3

PEK_U03 S1IMT_U10 C2 Lab2, Lab4,Lab6, Lab7,

Lab9

N2,N3

PEK_K01

(competences)

S1IMT_K01 C2,C3 Lab10 N4

** - enter symbols for main-field-of-study/specialization educational effects *** - from table above

Zał. nr 4 do ZW 64/2012 FACULTY ELECTRONICS

SUBJECT CARD

Name in Polish Zarządzanie projektem informatycznym

Name in English IT project management Main field of study (if applicable): Computer Science

Specialization (if applicable): Applied Computer Engineering in Medicine Level and form of studies: 1st level, full-time

Kind of subject: obligatory Subject code INES104 Group of courses YES

Lecture Classes Laboratory Project Seminar Number of hours of organized classes in

University (ZZU)

15 30

Number of hours of total student workload (CNPS)

60 60

Form of crediting crediting with

grade

crediting with grade

For group of courses mark (X) final course X

Number of ECTS points 4

including number of ECTS points for practical (P) classes

- 2

including number of ECTS points for direct teacher-student contact (BK) classes

1 1,5

*delete as applicable

PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTHER COMPETENCES

\

SUBJECT OBJECTIVES

C1 Acquisition of knowledge on project management.

C2 Acquisition of knowledge on user’s requirement discovering.

C3. Acquisition of practical skills on writing the project’s documentation.

C4. Acquisition of skills on choosing appropriate technics of project management process implementation.

C5. Acquisition of practical skills on searching and selecting knowledge required for the presentation. C6 Acquisition of practical skills on preparing multimedia presentation illustrated own concepts and

solutions related to team project.

C7 Acquisition of practical skills on creative discussion. C8 Acquisition of practical skills on team work.

SUBJECT EDUCATIONAL EFFECTS Relating to knowledge:

PEK_W01 The course results with a student’s ability to describe and explain the main management processes and related documents.

PEK_W02 The course results with a student’s ability to describe and explain the main techniques of the project scheduling and estimating. Students understand role of project life cycle.

PEK_W03 The course results with a student’s ability to describe and explain the chosen methods of user’s requirement acqusition and description, and the main documents related to the project. PEK_W04 The course results with a student’s ability to describe and explain team management rules. relating to skills:

PEK_U01 The course results with a student’s ability to criticize a proposed concept or solution PEK_U02 The course results with a student’s ability to argue own concepts and solutions

PEK_U03 The course results with a student’s ability to prepare multimedia presentation on chosen project management techniques on the basis of the literature survey.

PEK_U04 The course results with a student’s ability to prepare multimedia presentation on project concept and proposed solutions applied in the team project.

relating to social competences:

PEK_K01 The course results with a student’s ability to work in the group on a given problem. PROGRAMME CONTENT

Form of classes - lecture Number

of hours

Lec 1 Introduction, main definitions related to the project management 1 Lec 2 Project and product life cycle, management processes, integrated project

management 1

Lec 3 Project planning 2

Lec 4 User’s requirements discovering methods and techniques 2

Lec 5 Project estimating and scheduling 2

Lec 6 Risk management 2

Lec 7 Quality management 2

Lec 8 Team management 2

Lec 9 Project monitoring and final stages (project closing) 1

Total hours 15

Form of classes - seminar Number of hours

Sem 1 Introduction, seminar topic describing, seminar’s rule presentation 2

Sem 2 Seminat topics and scope discussion 2

Sem 3 Presentation of team project’s requirements and constrains 3

Sem 4 Presentation of team project’s scopes 3

Sem 5 Presentation of team project’s functional requirements 3

Sem 6 Methods of software testing 1

Sem 7 Methods of training 1

Sem 8 Presentation of team project’s non-functional requirements 3 Sem 9 Presentation of the norms related to the software quality 1

Sem 10 House of quality – description on the basis of a chosen project 1 Sem 11 Presentation of team project’s risk management concept 3 Sem 12 Parametric methods of project estimating - COCOMO 1

Sem 13 Parametric methods of project estimating - FPA 1

Sem 14 Presentation of team project’s schedule and tasks’ estimation 3

Sem 15 Portfolio management using MS Project 1

Sem 16 Review of the chosen project management softwares 1

Total hours 30

TEACHING TOOLS USED

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