Faculty of Electrical Engineering / / OSNOVI MAŠINSKOG UČENJA I VJEŠTAČKE INTELIGENCIJE
| Course: | OSNOVI MAŠINSKOG UČENJA I VJEŠTAČKE INTELIGENCIJE/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 12804 | Obavezan | 1 | 5 | 3+1+1 |
| Programs | |
| Prerequisites | Expert Systems |
| Aims | Students are expected to gain fundamental knowledge in the engineering-attractive field of artificial intelligence - machine learning. The subject focuses on principles, techniques, and methods of machine learning widely used in solving practical problems. In addition to a detailed study of the accompanying theory, the discussed machine learning techniques are implemented using the Python programming language, and their significance is demonstrated in solving specific problems. As part of the subject, there is a detailed analysis of the performance of the discussed techniques, discussing their usability, limitations, and challenges associated with them. |
| Learning outcomes | After passing this exam, the student will be able to: Formulate a problem model they want to solve using machine learning techniques; Understand machine learning algorithms, their capabilities, and limitations in solving specific problems; Apply appropriate mathematical tools, algorithms, and machine learning techniques to real data and problem-solving, and adapt and modify them as needed; Describe and interpret the results of applying machine learning techniques; Understand the mathematical and theoretical concepts underlying machine learning algorithms; Model and simulate data and experiments necessary for the analysis, verification, and comparison of existing as well as modified or newly developed machine learning techniques. |
| Lecturer / Teaching assistant | Prof. dr Vesna Popović-Bugarin, Danilo Planinić |
| Methodology | Lectures, computational and laboratory exercises, consultations, independent work |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | Introduction. Definition of: supervised, unsupervised, and semi-supervised learning. |
| I week exercises | Crash Python Course |
| II week lectures | Linear and polynomial regression, gradient descent method. Normal equation. |
| II week exercises | Python: Graphics and NumPy library |
| III week lectures | Logistic regression. Regularization. |
| III week exercises | Implementation of specified regularization in Python. |
| IV week lectures | Neural networks, architecture, and feedforward propagation. |
| IV week exercises | Implementation of specified regularization in Python. |
| V week lectures | Training neural networks. Backpropagation algorithm. |
| V week exercises | Implementation of neural networks in Python. |
| VI week lectures | Machine learning theory: hypothesis estimation, bias, variance, and regularization, learning curve. |
| VI week exercises | Improvement of a machine learning algorithm implemented in Python using machine learning theory. |
| VII week lectures | Designing machine learning systems. Error analysis and metrics. |
| VII week exercises | Improvement of a machine learning algorithm implemented in Python using machine learning theory. |
| VIII week lectures | Midterm exam |
| VIII week exercises | Midterm exam |
| IX week lectures | Support vector machine |
| IX week exercises | Implementation of Support Vector Machine (SVM) method in Python. |
| X week lectures | Decision tree. Random forest. |
| X week exercises | Implementation of decision tree and random forest methods in Python. |
| XI week lectures | Unsupervised learning. K-means clustering. Dimensionality reduction. Principal component analysis (PCA). |
| XI week exercises | Implementation of clustering, dimensionality reduction and reconstruction using Python. |
| XII week lectures | Anomaly detection. |
| XII week exercises | Implementation of anomaly detection using Python. |
| XIII week lectures | Recommendation systems. |
| XIII week exercises | Implementation of decision support systems using Python. |
| XIV week lectures | Reinforcement learning. |
| XIV week exercises | Practical work with large datasets. |
| XV week lectures | Critical and ethical considerations in machine learning and artificial intelligence. |
| XV week exercises | Parallelization. |
| Student workload | 5 ECTS credits x 40/30 = 8 hours Structure: 3 hours of lectures 1 hour of computational exercises 1 hour of laboratory exercises 3 hours of independent work, including consultations |
| Per week | Per semester |
| 5 credits x 40/30=6 hours and 40 minuts
3 sat(a) theoretical classes 1 sat(a) practical classes 1 excercises 1 hour(s) i 40 minuts of independent work, including consultations |
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts Total workload for the subject: 5 x 30=150 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 30 hour(s) i 0 minuts Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work) |
| Student obligations | Regular attendance, appropriate behavior, participation in knowledge assessments. |
| Consultations | After lectures, as needed. |
| Literature | Lecture materials, Stuart Russell & Peter Norvig, (2009). Artificial Intelligence – A Modern Approach. |
| Examination methods | Laboratory exercises: 20 points Mid-term exam: practical 20 points, theory 30 Final exam: 30 points |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / TEORIJA INFORMACIJA I KODOVA
| Course: | TEORIJA INFORMACIJA I KODOVA/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 12805 | Obavezan | 1 | 5 | 3+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 5 credits x 40/30=6 hours and 40 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 2 hour(s) i 40 minuts of independent work, including consultations |
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts Total workload for the subject: 5 x 30=150 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 30 hour(s) i 0 minuts Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / DIGITALNA OBRADA SLIKE
| Course: | DIGITALNA OBRADA SLIKE/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 12806 | Obavezan | 1 | 5 | 3+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 5 credits x 40/30=6 hours and 40 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 2 hour(s) i 40 minuts of independent work, including consultations |
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts Total workload for the subject: 5 x 30=150 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 30 hour(s) i 0 minuts Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / ADAPTIVNI DISKRETNI SISTEMI I NEURALNE MREŽE
| Course: | ADAPTIVNI DISKRETNI SISTEMI I NEURALNE MREŽE/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 12807 | Obavezan | 2 | 5 | 3+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 5 credits x 40/30=6 hours and 40 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 2 hour(s) i 40 minuts of independent work, including consultations |
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts Total workload for the subject: 5 x 30=150 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 30 hour(s) i 0 minuts Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / ORGANIZACIJA I ARHITEKTURA RAČUNARA II
| Course: | ORGANIZACIJA I ARHITEKTURA RAČUNARA II/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 12808 | Obavezan | 1 | 5 | 3+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 5 credits x 40/30=6 hours and 40 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 2 hour(s) i 40 minuts of independent work, including consultations |
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts Total workload for the subject: 5 x 30=150 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 30 hour(s) i 0 minuts Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / PROGRAMIBILNE PLATFORME
| Course: | PROGRAMIBILNE PLATFORME/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 12809 | Obavezan | 1 | 5 | 3+1+0 |
| Programs | |
| Prerequisites | No prerequisites required. |
| Aims | In this course, students are introduced to the basic principles of the functioning of programmable microprocessor platforms and corresponding peripheral devices, with the aim of training them to solve technical problems using simple digital systems, as well as to construct autonomous systems for data acquisition and management of systems of low and medium complexity. |
| Learning outcomes | After passing the exam, the student is expected to be able to: - Describes the basic principles of the functioning of programmable microprocessor platforms. - Designs simpler microcontroller systems. - Solves technical problems using digital systems. - Improves the functioning of devices that are used on a daily basis. - Constructs autonomous systems for data acquisition and management of systems of minor and medium complexity. - Develops applications based on open programmable platforms. |
| Lecturer / Teaching assistant | Prof. Milutin Radonjić, PhD |
| Methodology | Lectures and laboratory exercises, individual work on practical tasks, and consultations. |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | Introduction to programmable platforms and their applications. |
| I week exercises | |
| II week lectures | The architecture of open programmable platforms. |
| II week exercises | |
| III week lectures | Families of processors and microcontrollers. |
| III week exercises | |
| IV week lectures | Internal buses. Memories. Input-output units. |
| IV week exercises | |
| V week lectures | System software design in the context of dedicated operating systems. |
| V week exercises | |
| VI week lectures | Open programmable platform resource management. |
| VI week exercises | |
| VII week lectures | Designing application software based on programmable platforms. Tools and development environment. |
| VII week exercises | |
| VIII week lectures | The Midterm exam. |
| VIII week exercises | The Midterm exam. |
| IX week lectures | Connecting and managing peripheral devices. |
| IX week exercises | |
| X week lectures | Communication interfaces. Serial synchronous and asynchronous buses. |
| X week exercises | |
| XI week lectures | Design, connection and management of peripheral devices, real-time systems. |
| XI week exercises | |
| XII week lectures | Interrupt routines. Synchronous and asynchronous events. |
| XII week exercises | |
| XIII week lectures | Multitasking systems. |
| XIII week exercises | |
| XIV week lectures | Data acquisition and process management systems. |
| XIV week exercises | |
| XV week lectures | Examples of the use of programmable platforms. |
| XV week exercises |
| Student workload | 3 hours of lectures, 1 hour of exercises, 2 hours and 40 minutes of independent work, including consultations. |
| Per week | Per semester |
| 5 credits x 40/30=6 hours and 40 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 2 hour(s) i 40 minuts of independent work, including consultations |
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts Total workload for the subject: 5 x 30=150 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 30 hour(s) i 0 minuts Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work) |
| Student obligations | Students are required to attend classes, do and hand in homework, take the midterm exam. |
| Consultations | After the lecture, and if necessary, by appointment. |
| Literature | - Arpan Pal, Balamuralidhar Purushothaman, „IoT Technical Challenges and Solutions“, Artech House, 2017. - Agus Kurniawan, „Arduino and Genuino 101 Development Workshop“, 2016. - John Boxall, „Arduino workshop a hands-on introduction with 65 projects“, No Starch Press, 2013. - Scott Fitzgerald, Michael Shiloh, „The Arduino Projects Book“, Arduino LLC, 2012. |
| Examination methods | The midterm exam carries 50 points. The final exam carries 50 points. A passing grade is obtained if at least 50 points are collected. |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / DIZAJN I RAZVOJ SOFTVERA
| Course: | DIZAJN I RAZVOJ SOFTVERA/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 12810 | Obavezan | 2 | 5 | 3+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 5 credits x 40/30=6 hours and 40 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 2 hour(s) i 40 minuts of independent work, including consultations |
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts Total workload for the subject: 5 x 30=150 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 30 hour(s) i 0 minuts Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / SLUČAJNI PROCESI
| Course: | SLUČAJNI PROCESI/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 12811 | Obavezan | 1 | 5 | 3+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 5 credits x 40/30=6 hours and 40 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 2 hour(s) i 40 minuts of independent work, including consultations |
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts Total workload for the subject: 5 x 30=150 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 30 hour(s) i 0 minuts Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / DIGITALNA TELEVIZIJA I MULTIMEDIJALNE KOMUNIKACIJE
| Course: | DIGITALNA TELEVIZIJA I MULTIMEDIJALNE KOMUNIKACIJE/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 12812 | Obavezan | 2 | 5 | 3+1+0 |
| Programs | |
| Prerequisites | There is no requirement for other subjects. |
| Aims | Students are introduced with the basics of modern multimedia communications, Standards for recording, storage, modulation and transmission of data in digital TV systems, video communication technologies and protocols, interactive services and infrastructure of TV systems. |
| Learning outcomes | Upon completion of the course in Digital Television and Multimedia Communications, a student who passes the subject will be able to: - Explain techniques and standards for data packaging, encoding, storage, and transmission. - Understand the basic characteristics and purposes of video communication technologies and protocols. - Understand the basic concepts of digital television – DVB (standards for compression, digital modulation, system architecture, TV signal transmission). - Define interactive multimedia services. - Understand basic standards of multimedia communications, QoS, and security measures in multimedia networks. |
| Lecturer / Teaching assistant | Andjela Draganić, Assistant Professor - Teacher |
| Methodology | Lectures, exercises in the computer classroom. Consultations. |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | Packaging and coding of multimedia data |
| I week exercises | Packaging and coding of multimedia data |
| II week lectures | Standards for data storage and transmission |
| II week exercises | Standards for data storage and transmission |
| III week lectures | Video communication technologies and protocols |
| III week exercises | Video communication technologies and protocols |
| IV week lectures | Formats for recording digital video signals |
| IV week exercises | Formats for recording digital video signals |
| V week lectures | Audio and video streaming VoIP |
| V week exercises | Audio and video streaming VoIP |
| VI week lectures | I test |
| VI week exercises | I test |
| VII week lectures | Digital modulations, Video signal coding procedures, TV image compression standards |
| VII week exercises | Digital modulations, Video signal coding procedures, TV image compression standards |
| VIII week lectures | Digital television standards - DVB |
| VIII week exercises | Digital television standards - DVB |
| IX week lectures | Measuring equipment in digital television |
| IX week exercises | Measuring equipment in digital television |
| X week lectures | HDTV signal broadcasting |
| X week exercises | HDTV signal broadcasting |
| XI week lectures | Digital TV infrastructure for interactive multimedia services. Interactive real-time multimedia contents. |
| XI week exercises | Digital TV infrastructure for interactive multimedia services. Interactive real-time multimedia contents. |
| XII week lectures | II test |
| XII week exercises | II test |
| XIII week lectures | Distributed multimedia systems |
| XIII week exercises | Distributed multimedia systems |
| XIV week lectures | Multimedia communications in new generation networks |
| XIV week exercises | Multimedia communications in new generation networks |
| XV week lectures | Quality of service in multimedia networks. Security in multimedia networks |
| XV week exercises | Quality of service in multimedia networks. Security in multimedia networks |
| Student workload | Weekly: 5 credits × 40/30 = 6 hours and 40 minutes Structure: 3 hours of lectures 1 hour of exercises 2 hours and 40 minutes of independent work, including consultations, homework and project development During the semester: Classes and final exam: 6 hours and 40 minutes × 16 = 106 hours and 40 minutes Necessary preparations before the beginning of the semester and at the end of the semester (administration, registration, certification) 2 × 6 hours and 40 minutes = 13 hours and 20 minutes Total load for the course 150 hours Supplementary work for exam preparation in the make-up exam period, including taking the make-up exam from 0 to 30 hours Load structure: 106 hours (Teaching) + 13 hours and 20 minutes (Preparation) + 30 hours (Supplementary work) |
| Per week | Per semester |
| 5 credits x 40/30=6 hours and 40 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 2 hour(s) i 40 minuts of independent work, including consultations |
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts Total workload for the subject: 5 x 30=150 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 30 hour(s) i 0 minuts Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work) |
| Student obligations | Students are required to attend classes, do tests and a final exam or seminar paper. |
| Consultations | After the lecture and as needed, in agreement with the professor. |
| Literature | S. Stanković, I. Orović, E. Sejdić: "Multimedia signals and systems", Springer, 2015. F. Halsall: "Multimedia communications", Addison-Wesley, 2001 |
| Examination methods | • 2 tests carry 25 points each • The final exam is graded with a maximum of 50 points. It is necessary to accumulate 50 points in order to pass the exam. |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / PARALELNI I DISTRIBUIRANI SISTEMI
| Course: | PARALELNI I DISTRIBUIRANI SISTEMI/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 12813 | Obavezan | 2 | 5 | 3+1+0 |
| Programs | |
| Prerequisites | No prerequisites required. |
| Aims | In this course, students are introduced to the basic principles of parallel and distributed systems. The goal is to train students to analyze and design systems based on parallel architecture, as well as to understand, use, and implement distributed computer systems. |
| Learning outcomes | After passing the exam, the student is expected to be able to: - designs systems based on parallel architecture; - practically applies different parallel programming models; - uses simulators to evaluate project decisions in the field of parallel systems; - distinguishes types of distributed systems; - analyzes distributed systems from the point of implementation and performance; - uses the client-server concept; - implements security concepts in distributed systems. |
| Lecturer / Teaching assistant | Prof. Milutin Radonjić, PhD |
| Methodology | Lectures, exercises, consultations. |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | Basic aspects of architecture. Program models. CASE studies of parallel applications. |
| I week exercises | |
| II week lectures | Parallelization process. The impact of the program model on performance. |
| II week exercises | |
| III week lectures | Multiprocessors with shared memory. Cache Coherence. |
| III week exercises | |
| IV week lectures | Synchronization. Design of memory protocols. Snooping-based protocols. |
| IV week exercises | |
| V week lectures | Scalable multiprocessors. Directory-based protocols. Directory-based implementation. |
| V week exercises | |
| VI week lectures | Transaction memory. Introduction to interconnection networks. |
| VI week exercises | |
| VII week lectures | Types and architectures of interconnection networks. Crossbar architecture. |
| VII week exercises | |
| VIII week lectures | Midterm exam. |
| VIII week exercises | |
| IX week lectures | Architectures of distributed systems: centralized, decentralized, hybrid. Management of a distributed system. |
| IX week exercises | |
| X week lectures | Processes. Treads in distributed systems. Virtualization. Client-server concept. Server clusters. |
| X week exercises | |
| XI week lectures | Types of communication: remote procedure call, message communication, stream-based communication, multicast communication. |
| XI week exercises | |
| XII week lectures | Naming of identifiers and addresses: simple, structured, and based on attributes. |
| XII week exercises | |
| XIII week lectures | Synchronization: physical and logical clock, GPS. Resource allocation algorithms. Positioning of nodal points. |
| XIII week exercises | |
| XIV week lectures | Consistency and replication. Fault tolerance. Reliability of client-server communication. |
| XIV week exercises | |
| XV week lectures | Security of distributed systems. |
| XV week exercises |
| Student workload | 3 hours of lectures, 1 hour of exercises, 2 hours and 40 minutes for individual work, including consultations. |
| Per week | Per semester |
| 5 credits x 40/30=6 hours and 40 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 2 hour(s) i 40 minuts of independent work, including consultations |
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts Total workload for the subject: 5 x 30=150 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 30 hour(s) i 0 minuts Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work) |
| Student obligations | Students are required to attend classes, submit tests, and take a midterm exam. |
| Consultations | After classes. |
| Literature | Parallel Computer Architecture - Culler, Singh; Distributed Systems - principles and paradigms - Tanenbaum, Van Steen; Introduction to Parallel Computing - From Algorithms to Programming - Trobec, Slivnik, Bulić, Robič; |
| Examination methods | The midterm exam is evaluated with 50 points. The final exam is evaluated with 50 points. |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / ZAŠTITA I SIGURNOST MULTIMEDIJALNIH I RAČ.PODATAKA
| Course: | ZAŠTITA I SIGURNOST MULTIMEDIJALNIH I RAČ.PODATAKA/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 12814 | Obavezan | 2 | 5 | 3+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 5 credits x 40/30=6 hours and 40 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 2 hour(s) i 40 minuts of independent work, including consultations |
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts Total workload for the subject: 5 x 30=150 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 30 hour(s) i 0 minuts Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / HEURISTIČKE METODE OPTIMIZACIJE
| Course: | HEURISTIČKE METODE OPTIMIZACIJE/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 12815 | Obavezan | 2 | 5 | 3+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 5 credits x 40/30=6 hours and 40 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 2 hour(s) i 40 minuts of independent work, including consultations |
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts Total workload for the subject: 5 x 30=150 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 30 hour(s) i 0 minuts Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / ODABRANA POGLAVLJA IZ DIGITALNIH SISTEMA
| Course: | ODABRANA POGLAVLJA IZ DIGITALNIH SISTEMA/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 13285 | Izborni | 3 | 6 | 3+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 6 credits x 40/30=8 hours and 0 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 4 hour(s) i 0 minuts of independent work, including consultations |
Classes and final exam:
8 hour(s) i 0 minuts x 16 =128 hour(s) i 0 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 8 hour(s) i 0 minuts x 2 =16 hour(s) i 0 minuts Total workload for the subject: 6 x 30=180 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 36 hour(s) i 0 minuts Workload structure: 128 hour(s) i 0 minuts (cources), 16 hour(s) i 0 minuts (preparation), 36 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / TEORIJA ALGORITAMA
| Course: | TEORIJA ALGORITAMA/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 13294 | Obavezan | 3 | 6 | 3+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 6 credits x 40/30=8 hours and 0 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 4 hour(s) i 0 minuts of independent work, including consultations |
Classes and final exam:
8 hour(s) i 0 minuts x 16 =128 hour(s) i 0 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 8 hour(s) i 0 minuts x 2 =16 hour(s) i 0 minuts Total workload for the subject: 6 x 30=180 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 36 hour(s) i 0 minuts Workload structure: 128 hour(s) i 0 minuts (cources), 16 hour(s) i 0 minuts (preparation), 36 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / NESTACIONARNI SIGNALI I SISTEMI
| Course: | NESTACIONARNI SIGNALI I SISTEMI/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 13295 | Obavezan | 3 | 6 | 3+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 6 credits x 40/30=8 hours and 0 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 4 hour(s) i 0 minuts of independent work, including consultations |
Classes and final exam:
8 hour(s) i 0 minuts x 16 =128 hour(s) i 0 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 8 hour(s) i 0 minuts x 2 =16 hour(s) i 0 minuts Total workload for the subject: 6 x 30=180 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 36 hour(s) i 0 minuts Workload structure: 128 hour(s) i 0 minuts (cources), 16 hour(s) i 0 minuts (preparation), 36 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / KOMPJUTERSKA VIZIJA
| Course: | KOMPJUTERSKA VIZIJA/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 13296 | Obavezan | 3 | 6 | 3+0+1 |
| Programs | |
| Prerequisites | Fundamentals of Machine Learning and Artificial Intelligence |
| Aims | Through this course, students become familiar with modern computer vision methods based on deep learning, popular programming libraries for working with neural networks. Additionally, students are introduced to the three basic tasks of computer vision - image classification, image segmentation, and object detection in images. |
| Learning outcomes | After passing this exam, the student will be able to correctly use the Keras and TensorFlow programming libraries, create a model of a fully connected neural network according to the given specification, create a model of a convolutional neural network according to the given specification, perform image classification through deep learning in a predefined image database, and perform image segmentation through deep learning. |
| Lecturer / Teaching assistant | Prof. dr Nikola Žarić |
| Methodology | Lectures and exercises in a computer classroom / laboratory. Learning and independent completion of practical tasks. Consultations. |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | Introduction to computer vision. Review of linear algebra material. |
| I week exercises | Review of linear algebra material. |
| II week lectures | Python – review. Working with the Keras and TensorFlow libraries. |
| II week exercises | Python, Numpy, TensorFlow, Keras |
| III week lectures | Mathematical model of neural networks. Representation of data for neural networks. Working with tensors. |
| III week exercises | Mathematical model of neural networks. Representation of data for neural networks. Working with tensors. |
| IV week lectures | Gradient optimization method. Backpropagation. |
| IV week exercises | Training the first neural network |
| V week lectures | Deep learning. Convolutional neural networks. Building blocks of convolutional neural networks. |
| V week exercises | Training the first convolutional neural network |
| VI week lectures | Convolutional neural networks – well-known architectures. |
| VI week exercises | -- |
| VII week lectures | Midterm exam |
| VII week exercises | Midterm exam |
| VIII week lectures | Image classification. |
| VIII week exercises | Training a convolutional neural network for image classification |
| IX week lectures | Image classification – continuation. |
| IX week exercises | Image classification. |
| X week lectures | Image segmentation. |
| X week exercises | Image segmentation. |
| XI week lectures | Object detection in images. Popular models. |
| XI week exercises | Object detection in images. Popular models. |
| XII week lectures | Techniques for enhancing deep network training (data augmentation). Using pre-trained models - fine-tuning the network. |
| XII week exercises | Techniques for enhancing deep network training (data augmentation). Using pre-trained models - fine-tuning the network. |
| XIII week lectures | Make-up exam for the midterm |
| XIII week exercises | Make-up exam for the midterm |
| XIV week lectures | Presentations of student projects |
| XIV week exercises | Presentations of student projects |
| XV week lectures | Presentations of student projects |
| XV week exercises | Presentations of student projects |
| Student workload | 6 credits x 40/30 = 8 hours |
| Per week | Per semester |
| 6 credits x 40/30=8 hours and 0 minuts
3 sat(a) theoretical classes 1 sat(a) practical classes 0 excercises 4 hour(s) i 0 minuts of independent work, including consultations |
Classes and final exam:
8 hour(s) i 0 minuts x 16 =128 hour(s) i 0 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 8 hour(s) i 0 minuts x 2 =16 hour(s) i 0 minuts Total workload for the subject: 6 x 30=180 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 36 hour(s) i 0 minuts Workload structure: 128 hour(s) i 0 minuts (cources), 16 hour(s) i 0 minuts (preparation), 36 hour(s) i 0 minuts (additional work) |
| Student obligations | Regular attendance at lectures, appropriate behavior, participation in assessments (midterms and final project). |
| Consultations | By agreement |
| Literature | François Chollet, Deep Learning with Python, Second Edition, Manning Publications Co, 2021. |
| Examination methods | Midterm exam: total of 50 points Project: total of 50 points Note: To be eligible to work on the project, the student must score at least 50% on the midterm exam. |
| Special remarks | |
| Comment | To be eligible to work on the project, the student must score at least 50% on the midterm exam. |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / TEHNIKA DIZAJNIRANJA ARH. SPECIJALIZOVANE NAMJENE
| Course: | TEHNIKA DIZAJNIRANJA ARH. SPECIJALIZOVANE NAMJENE/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 13297 | Obavezan | 3 | 6 | 3+0+1 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 6 credits x 40/30=8 hours and 0 minuts
3 sat(a) theoretical classes 1 sat(a) practical classes 0 excercises 4 hour(s) i 0 minuts of independent work, including consultations |
Classes and final exam:
8 hour(s) i 0 minuts x 16 =128 hour(s) i 0 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 8 hour(s) i 0 minuts x 2 =16 hour(s) i 0 minuts Total workload for the subject: 6 x 30=180 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 36 hour(s) i 0 minuts Workload structure: 128 hour(s) i 0 minuts (cources), 16 hour(s) i 0 minuts (preparation), 36 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / IOT MREŽE - IZBORNI
| Course: | IOT MREŽE - IZBORNI/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 13469 | Izborni | 3 | 6 | 2+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 6 credits x 40/30=8 hours and 0 minuts
2 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 5 hour(s) i 0 minuts of independent work, including consultations |
Classes and final exam:
8 hour(s) i 0 minuts x 16 =128 hour(s) i 0 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 8 hour(s) i 0 minuts x 2 =16 hour(s) i 0 minuts Total workload for the subject: 6 x 30=180 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 36 hour(s) i 0 minuts Workload structure: 128 hour(s) i 0 minuts (cources), 16 hour(s) i 0 minuts (preparation), 36 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / SENZORIKA,SOFTVER I KONTROLA (IZBORNI)
| Course: | SENZORIKA,SOFTVER I KONTROLA (IZBORNI)/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 14040 | Izborni | 3 | 6 | 3+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 6 credits x 40/30=8 hours and 0 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 4 hour(s) i 0 minuts of independent work, including consultations |
Classes and final exam:
8 hour(s) i 0 minuts x 16 =128 hour(s) i 0 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 8 hour(s) i 0 minuts x 2 =16 hour(s) i 0 minuts Total workload for the subject: 6 x 30=180 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 36 hour(s) i 0 minuts Workload structure: 128 hour(s) i 0 minuts (cources), 16 hour(s) i 0 minuts (preparation), 36 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
Faculty of Electrical Engineering / / BIOMEDICAL MEASUREMENTS AND INSTRUMENTATIONS
| Course: | BIOMEDICAL MEASUREMENTS AND INSTRUMENTATIONS/ |
| Course ID | Course status | Semester | ECTS credits | Lessons (Lessons+Exercises+Laboratory) |
| 38803 | Izborni | 6 | 3+1+0 |
| Programs | |
| Prerequisites | |
| Aims | |
| Learning outcomes | |
| Lecturer / Teaching assistant | |
| Methodology |
| Plan and program of work | |
| Preparing week | Preparation and registration of the semester |
| I week lectures | |
| I week exercises | |
| II week lectures | |
| II week exercises | |
| III week lectures | |
| III week exercises | |
| IV week lectures | |
| IV week exercises | |
| V week lectures | |
| V week exercises | |
| VI week lectures | |
| VI week exercises | |
| VII week lectures | |
| VII week exercises | |
| VIII week lectures | |
| VIII week exercises | |
| IX week lectures | |
| IX week exercises | |
| X week lectures | |
| X week exercises | |
| XI week lectures | |
| XI week exercises | |
| XII week lectures | |
| XII week exercises | |
| XIII week lectures | |
| XIII week exercises | |
| XIV week lectures | |
| XIV week exercises | |
| XV week lectures | |
| XV week exercises |
| Student workload | |
| Per week | Per semester |
| 6 credits x 40/30=8 hours and 0 minuts
3 sat(a) theoretical classes 0 sat(a) practical classes 1 excercises 4 hour(s) i 0 minuts of independent work, including consultations |
Classes and final exam:
8 hour(s) i 0 minuts x 16 =128 hour(s) i 0 minuts Necessary preparation before the beginning of the semester (administration, registration, certification): 8 hour(s) i 0 minuts x 2 =16 hour(s) i 0 minuts Total workload for the subject: 6 x 30=180 hour(s) Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item) 36 hour(s) i 0 minuts Workload structure: 128 hour(s) i 0 minuts (cources), 16 hour(s) i 0 minuts (preparation), 36 hour(s) i 0 minuts (additional work) |
| Student obligations | |
| Consultations | |
| Literature | |
| Examination methods | |
| Special remarks | |
| Comment |
| Grade: | F | E | D | C | B | A |
| Number of points | less than 50 points | greater than or equal to 50 points and less than 60 points | greater than or equal to 60 points and less than 70 points | greater than or equal to 70 points and less than 80 points | greater than or equal to 80 points and less than 90 points | greater than or equal to 90 points |
