TY  - JOUR
AU  - Milutinović, Veljko
AU  - Vujičić-Stanković, Staša
AU  - Jović, Aleksandar
AU  - Drašković, Dražen
AU  - Mišić, Marko
AU  - Furundžić, Danilo
PY  - 2017
UR  - https://raf.arh.bg.ac.rs/handle/123456789/243
AB  - This chapter describes the essence of a course for senior level undergraduate students
and for master students of computer science and engineering, and analyzes its effects.
The course prepares students for their professional life after graduation, and especially, it
prepares them for the challenges related to efforts to bring new paradigm-shifting ideas
into the commercial world. This course was developed to complement a DataFlow
course and to teach DataFlow researchers about issues of importance for promotion
of their results with a commercial potential. Consequently, course examples and homework assignments were chosen to reflect issues of importance in the commercialization
of the DataFlow concept. The course includes the following subjects (presented with
DataFlow-related issues in mind): (a) Writing proposals for Research and Development
in industry and academia, (b) Understanding the essence of the MBA/PhD degrees and
preparing the GMAT/GRE analytical exam, (c) Understanding Capability Maturity Model
Integration and learning how to write holistic strategic project plans, (d) Understanding
Project Management and learning how to write detailed tactical project plans,
(e) Writing business plans for venture capital or business angels, (f ) Writing patent applications, (g) Writing survey papers for SCI (Science Citation Index) journals, (h) Writing
research papers for SCI journals, (i) Making an Internet shop, (j) Making a MindGenomics
campaign for the Internet shop, (k) DataMining from project history and project
experiments, and (l) Preservation of project heritage and skills related to brand making.
Each subject matter is covered by a homework assignment to help deepen the practical
knowledge of the subject matter covered. In addition to the above described, which is
accompanied with homework, the following four subjects are also covered and accompanied with in-class discussions (oriented to DataFlow research): (m) Inventivity,
(n) Creativity, (o) Effectiveness, and (p) Efficiency. Consequently, the analysis part concentrates on the following issues: (a) Inventivity: How different majors react to the
subject matters, (b) Creativity: How efficiently the initial knowledge gaps get bridged,
(c) Effectiveness: How the experience of the teacher helps, and (d) Efficiency: How
the previous experiences of students help.
PB  - Academic Press Inc.
T2  - Advances in computers, vol 106
T1  - A New Course on R& D Project Management in Computer Science and Engineering: Subjects Taught, Rationales Behind, and Lessons Learned
VL  - 106
SP  - 1
EP  - 19
DO  - 10.1016/bs.adcom.2017.04.001
ER  - 

@article{
author = "Milutinović, Veljko and Vujičić-Stanković, Staša and Jović, Aleksandar and Drašković, Dražen and Mišić, Marko and Furundžić, Danilo",
year = "2017",
abstract = "This chapter describes the essence of a course for senior level undergraduate students
and for master students of computer science and engineering, and analyzes its effects.
The course prepares students for their professional life after graduation, and especially, it
prepares them for the challenges related to efforts to bring new paradigm-shifting ideas
into the commercial world. This course was developed to complement a DataFlow
course and to teach DataFlow researchers about issues of importance for promotion
of their results with a commercial potential. Consequently, course examples and homework assignments were chosen to reflect issues of importance in the commercialization
of the DataFlow concept. The course includes the following subjects (presented with
DataFlow-related issues in mind): (a) Writing proposals for Research and Development
in industry and academia, (b) Understanding the essence of the MBA/PhD degrees and
preparing the GMAT/GRE analytical exam, (c) Understanding Capability Maturity Model
Integration and learning how to write holistic strategic project plans, (d) Understanding
Project Management and learning how to write detailed tactical project plans,
(e) Writing business plans for venture capital or business angels, (f ) Writing patent applications, (g) Writing survey papers for SCI (Science Citation Index) journals, (h) Writing
research papers for SCI journals, (i) Making an Internet shop, (j) Making a MindGenomics
campaign for the Internet shop, (k) DataMining from project history and project
experiments, and (l) Preservation of project heritage and skills related to brand making.
Each subject matter is covered by a homework assignment to help deepen the practical
knowledge of the subject matter covered. In addition to the above described, which is
accompanied with homework, the following four subjects are also covered and accompanied with in-class discussions (oriented to DataFlow research): (m) Inventivity,
(n) Creativity, (o) Effectiveness, and (p) Efficiency. Consequently, the analysis part concentrates on the following issues: (a) Inventivity: How different majors react to the
subject matters, (b) Creativity: How efficiently the initial knowledge gaps get bridged,
(c) Effectiveness: How the experience of the teacher helps, and (d) Efficiency: How
the previous experiences of students help.",
publisher = "Academic Press Inc.",
journal = "Advances in computers, vol 106",
title = "A New Course on R& D Project Management in Computer Science and Engineering: Subjects Taught, Rationales Behind, and Lessons Learned",
volume = "106",
pages = "1-19",
doi = "10.1016/bs.adcom.2017.04.001"
}

Milutinović, V., Vujičić-Stanković, S., Jović, A., Drašković, D., Mišić, M.,& Furundžić, D.. (2017). A New Course on R& D Project Management in Computer Science and Engineering: Subjects Taught, Rationales Behind, and Lessons Learned. in Advances in computers, vol 106
Academic Press Inc.., 106, 1-19.
https://doi.org/10.1016/bs.adcom.2017.04.001

Milutinović V, Vujičić-Stanković S, Jović A, Drašković D, Mišić M, Furundžić D. A New Course on R& D Project Management in Computer Science and Engineering: Subjects Taught, Rationales Behind, and Lessons Learned. in Advances in computers, vol 106. 2017;106:1-19.
doi:10.1016/bs.adcom.2017.04.001 .

Milutinović, Veljko, Vujičić-Stanković, Staša, Jović, Aleksandar, Drašković, Dražen, Mišić, Marko, Furundžić, Danilo, "A New Course on R& D Project Management in Computer Science and Engineering: Subjects Taught, Rationales Behind, and Lessons Learned" in Advances in computers, vol 106, 106 (2017):1-19,
https://doi.org/10.1016/bs.adcom.2017.04.001 . .