1. Study program: Computer Engineering (Računarsko inženjerstvo)
Ivan Kaštelan, Miroslav Popović
University of Novi Sad, Faculty of Technical Sciences

2. Presentation Outline Introduction
Goals of the study program and principles of its design
Structure of the study program
Positioning of the study program
Conclusions and future work
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3. Introduction
“Computer engineering is a discipline that embodies the science and technology of design, construction, implementation, and maintenance of software and hardware components of modern computing systems, computer-controlled equipment, and networks of intelligent devices. Traditionally, computer engineering is some combination of both electrical engineering (EE) and computer science (CS).“
„Computer Engineering Curricula 2016 – Curriculum Guidelines for Undergraduate Degree Programs in Computer Engineering“, A Report in the Computer Engineering Curricula Series, Joint Task Force on Computer Engineering Curricula of Association for Computing Machinery (ACM) and IEEE Computer Society, 15 Dec 2016
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4. Introduction ACM-defined sub-disciplines of Computing:
Computer Engineering
Computer Science
Information Systems
Information Technology
Software Engineering
Rapidly changing landscape of computer technology.
Each discipline requires different body of knowledge.
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5. Introduction FTN in the past ACM-defined sub-disciplines of Computing:
Computer Engineering
Computer Science
Information Systems
Information Technology
Software Engineering
Computing and Control Engineering
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6. Introduction FTN today ACM-defined sub-disciplines of Computing:
Computer Engineering
Computer Science
Information Systems
Information Technology
Software Engineering
Computing and Control Engineering RA
SIIT, PSI
ACM recommends separate curricula for all five disciplines.
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7. Goals Top-down education – start with top-level introductory courses.
Avoid subject “islands” – create learning paths and make each course part of a learning path.
Prepare the student for academic and professional work.
Balance the number of courses in each semester.
Move the “center of gravity” to 3rd education year.
Introduce practical laboratory courses.
Align with ACM-IEEE recommendations and foreign study programs.
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8. Structure of the Study Program
General courses
Four (4) English language courses, of which
2 general language courses which can be changed for German language,
1 oriented towards engineering (“English for specific pursposes (ESP)”),
1 oriented towards academic skills (“Academic English”).
Four (4) mathematical courses with the topics recommended by ACM-IEEE.
Physics – to bring the basic scientific and experimental skills.
Academic Serbian language course to improve academic skills.
Entrepreneurship course to improve professional skills.
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9. Structure of the Study Program
Required study paths
Top-level of computer engineering knowledge (2 courses)
Software design (2 courses, up to 5 electives)
Including the software laboratory courses (3 courses)
Hardware, digital and computer system design (4 courses)
Algorithm design (3 courses)
Signal processing systems (3 courses, 1 elective)
System software (3 courses)
Computer networks (2 courses, 1 elective)
Laboratory course (idea) – 100% of the points are earned by practical tasks and applied knowledge. (1 in each of the first 3 years)
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10. Structure of the Study Program
Elective study paths
Intelligent computer systems (3 electives)
Software in automotive engineering (2 electives)
Computer-based system control (2 electives)
These paths can be taken by choosing the respective electives in the 3rd and 4th education year.
Paths are not binding – students can choose other course combinations. (Paths are just a recommendation)
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11. Positioning of the Study Program
MIT Course
Proposed study program course
18.01 Calculus 1
Matematička analiza
18.03 Differential Equations
8.02 Physics 2
Osnovi elektrotehnike
18.06 Linear Algebra
Algebra
6.042 Math for Computer Science
Diskretna matematika
6.01 Intro to EECS 1
Uvod u računarsko inženjerstvo 1
6.02 Intro to EECS 2
Uvod u računarsko inženjerstvo 2
6.004 Computation Structures
Projektovanje digitalnih sistema
6.005 Elements of SW Design
Osnovi SW; Projektovanje SW
6.006 Introduction to Algorithms
Projektovanje algoritama
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12. Positioning of the Study Program
MIT Course
Proposed study program course
6.033 Computer System Engineering
Projektovanje računarskih sistema
6.034 Artificial Intelligence
Osnove sistema sa računarskom inteligencijom
6.046 Design and Analysis of Algorithms
(different content)
Paralelno programiranje
Nelinearno programiranje i evolutivni algoritmi
CS Lab
SW Lab predmeti (x3)
2 electives
(izborni predmeti)
6.UAT / 6.UAP
Diplomski rad i praksa
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13. Alignment with ACM/IEEE - Math
Code
Body of knowledge
Courses
ECTS
CE-ACF
Analysis of Continuous Functions 1 6
CE-LAL
Linear Algebra
CE-DSC
Discrete Structures
CE-PRS
Probability and Statistics 4
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14. Alignment with ACM/IEEE – Core Subjects
Code
Body of knowledge
Courses
ECTS
CE-CAE
Circuits and Electronics 2 13
CE-CAL
Computing Algorithms 3 20
CE-CAO
Computer Architecture and Organization
CE-DIG
Digital Design 1 6
CE-ESY
Embedded Systems
CE-NWK
Computer Networks 11
CE-PPP
Preparation for Professional Practice 5
CE-SEC
Information Security
CE-SGP
Signal Processing 19
CE-SPE
Systems and Project Engineering 16
CE-SRM
Systems and Resource Management 14
CE-SWD
Software Design 32
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15. Future work
Documents are being prepared for accreditation of the proposed study program for Bachelor level.
Corresponding Master level is also being prepared.
Plan is to apply to NNV FTN in the following months to be included in the FTN’s next accreditation process (2017).
First generation of students: academic year 2018/19 (or after the accreditation process completes at FTN).
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16. Thank you for your attention!