Courses within the program

Programnamn

Master Programme in Electronics/Automation

Overview of the courses that make up the programme:

Year 1

Semester 1
RF Measurement Technology 7.5 hp
Field Electronics

The aim of the course is to give a systematic introduction to the fundamental components used in RF measurement systems, as well as to give in-depth knowledge of the most commonly occurring RF instruments.
Furthermore the course gives an understanding of the different causes of measurement uncertainty, and how they can be quantified. An understanding on how to minimize the effects of measurement error is given, in order to simultaneously to streamline measurements with respect to both time and cost.

Syllabus
Take as freestanding course

Semester 1
Applied Mechanics II 7.5 hp
Field Physics

After completing the course the student will be able to:
1. starting from a problem, make idealizations, with motivations a put up a mechanical model and with mathematical and numerical methods analyze the model for different parameter values, as well as interpret and critically evaluate the results
2. describe the differences between reality and the mathematical model, and understand the relationship between observations and model building
3. analyze the mathematical model using numerical and symbolic computing tools in order to effectively investigate and visualize the characteristics of the system
4. set up and solve advanced problems concerning three-dimensional mechanical structures
5. understand and calculate lattices in two and three dimensions
6. understand and perform shear force diagrams and torque charts for the calculation of beams
7. manage and calculate friction in elementary machine elements
8. solve problems of linear and angular momentum associated with rigid bodies
9. understand and explain gyroscopic forces.

Syllabus
Take as freestanding course

Semester 1
Wireless Sensor Networks 7.5 hp
Field Electronics

This course aims to give an overview of wireless communication technologies and M2M (machine-to-machine) wireless sensor networks. The course deals with knowledge and
practical skills in sensor networks for industrial applications. Problems, technology, and theory are tools for the purpose.

Syllabus
Take as freestanding course

Semester 1
Industrial Statistics 7.5 hp
Field Industrial Economics

This course focuses on the application of Statistics in industrial fields.
After completion of the course the student shall be able to
1. state the importance of the concepts, theory and methods in statistics
2. apply statistical methods in engineering problems
3. apply statistical tools such as Excel, SPSS and MatLab for data analysis
4. analyze a practical operational problem with statistical thinking.

Syllabus
Take as freestanding course

Semester 2
Stochastic Processes 7.5 hp
Field Mathematics

The aim is to give a deeper knowledge in probability theory, stochastic modeling, statistical methods and processing of random signals.

Syllabus
Take as freestanding course

Semester 2
Statistical Signal Processing 7.5 hp
Field Electronics

The aim of the course is to give a deeper knowledge in digital signal processing. Methods for signal processing, parameter estimation and noise reduction are specifically focused.

Syllabus
Take as freestanding course

Year 2

Semester 1
Advanced Digital Control Systems 7.5 hp
Field Electronics

Today control systems are generally computer-based systems and are becoming more and more advanced. For example, they can adapt to different operating conditions by using adaptive control. This course covers adaptive control as well as fuzzy logic, neural networks and real-time systems.

Syllabus
Take as freestanding course

Semester 1
Computerized Image Processing and Machine Vision 7.5 hp
Field Electronics, Computer Science

The course covers concepts, methods and sensors used in various types of computer-based image analysis.

Syllabus
Take as freestanding course

Semester 1
Advanced Projects in Electronics 7.5 hp
Field Electronics

The aim of this course is that the student will gain:
- A theoretichal basic understanding of the principles of project management.
- In-deph knowledge in a specific technichal area related to on-going research conducted at ITB-Electronics.
- Experience of conducting an advanced science project, by applying project management principles.
- An ability to reflect both upon the relevance of the technical knowledge developed throughout the project, as well as an ability to reflect upon project management principles used in practice.

Syllabus
Take as freestanding course

Semester 1
Robotics 7.5 hp
Field Electronics

The use of robots are becoming more widespread and new applications beyond the classic industrial environment is continuously increasing. The aim of the course is to provide broad but also in-depth theoretical knowledge of robots and robotic systems in industry and services and related technology areas. The course has a focus on robot design and the robot's internal systems.

Syllabus
Take as freestanding course

Published by: Veronica Liljeroth Page responsible: Veronica Liljeroth Updated: 2018-03-08
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