Master's Thesis in | Optional Studies 9 ECTS |
Major Studies | Minor or Complementary Studies |
| Method Studies 16 ECTS | |
Supplementary Studies 0-60 ECTS |
Please note that some of the courses will not be organised each year.
Please note that one course can be used only in one block.
Supplementary studies
Maximum of 60 ECTS credits of supplementary studies are required from students holding B.Sc. degree in different but closely related field and from students holding B.Sc. degree from a Finnish polytechnic. Students are expected to make a personal study plan (HOPS) in which student outline his/her overall plans for completing the degree and supplementary studies.
Supplementary studies are obligatory for students holding a polytechnic degree and recommendable for others.
For example: Supplementary studies (28 ECTS) to students holding B.Sc. degree from Finnish polytechnic:
- Digital Signal Processing 5 ECTS
- Integral Transforms I 3 ECTS
- Integral Transforms II 5 ECTS
- Basic Course in Probability 5 ECTS
- Object Modeling 5 ECTS
- Information Security 5 ECTS
Method Studies (16 ECTS)
Obligatory Courses
- Writing Academic English I 3 ECTS
- Writing Academic English II 2 ECTS
- Finnish for Foreigners I 5 ECTS
- Information Literacy Skills I 1 ECTS
Choose courses worth of at least 5 ECTS of the following:
- Algebra II 5 ECTS
- Discrete Mathematics 5 ECTS
- Numerical Methods 5 ECTS
- Time Series Analysis 5 ECTS
- Stochastics Processes 5 ECTS
- Operation Analysis 5 ECTS
- Advanced Optimazation 5 ECTS
- Separately agreed course (separately agreed with the Head of the programme in personal study plan discussion)
Minor or Complementary Studies in the Major Subject (25 ECTS)
The students who have not completed their Bachelor’s degree on the field of telecommunications engineering must include a complementary studies to their master’s degree. The students who have completed their Bachelor’s degree on the field of telecommunications engineering may include a minor subject on any field to their degree.
Complementary Studies
Choose courses worth of at least 25 ECTS credits of the following:
- Mobile Communication Services and Systems 5 ECTS
- Advanced Course in Signals and Systems 5 ECTS
- Telecommunication Architectures 5 ECTS
- Telecommunication Software 5 ECTS
- Telecommunication Electronics 5 ECTS
- Separately agreed course (separately agreed with the Head of the programme in personal study plan discussion)
Minor Subjects (25 ECTS)
The purpose of the minor studies is to give the student an opportunity to choose study modules according to their special needs or interests. The minor subject can also strengthen the students’ management skills or expand their knowledge of their own area of specialisation.
Minors are available online at the studies for exchange and visiting students web page. Faculty of Technology offers two minor subjects in English: Computer Science (25 ECTS) and Industrial Management (25 ECTS). Also other faculties and other universities offer minor subjects.
Optional Courses (9 ECTS)
The students may choose courses from all the study programmes of the University of Vaasa or other universities.
For example:
- Practical Training 1-5 ECTS
The degree may include from 1 to 5 ECTS credits for practical training or internship improving expertise. A two week (á 40 hours) training period is equivalent to 1 ECTS. The department should approve the training. An essay of the work must be written. More information available online: Practical Work Training instructions.
Recommended optional courses:
- Finnish for Foreigners II 5 ECTS
- Basics of C-programming 3 ECTS
- Embedded C-programming 2 ECTS
- Computer Simulation in Communication and Systems 5 ECTS
- Mathematical courses
- Data Processing 5 ECTS
- Information Literacy Skills II 1 ECTS
Major Studies 70 ECTS (Advanced Level Studies 40 ECTS and Master's Thesis 30 ECTS)
Obligatory Courses (25 ECTS)
- Digital Communication 5 ECTS
- Wireless Communication Networks 5 ECTS
- Teletraffic Theory 5 ECTS
- Introduction to Radio Technology 5 ECTS
- Cryptography 5 ECTS
Optional courses, choose enough courses to reach total of 40 ECTS credits
Recommended optional courses:
- Broadband Wireless Communication 5 ECTS
- Radio Resource Management 5 ECTS
- Special Topics in Telecommunications 1-10 ECTS
- Project Exercise in Telecommunications 3-15 ECTS
- Telecommunications Seminar 3-10 ECTS
- Embedded Network Devices 5 ECTS
Other possible optional courses (separately agreed with the head of the programme)
- Optics 5 ECTS
- Optoelectronics 5 ECTS
- Advanced Signal Processing 5 ECTS
- Seminar on Signal Processing 3 ECTS
- Embedded system 5 ECTS
Master's Thesis 30 ECTS and Maturity test 0 ECTS
Course Descriptions
Course Code: AUTO.1030
Organiser: Department of Electrical Engineering and Automation
Credits: 5 ECTS
Teacher: Jarmo Alander
Prerequisites: Programming and Integral Transforms
Course objective: Introduction to basic of digital signal processing
Course contents: Introduction to image processing (pixel, resolution, unsharp masking), alias and sampling, analog RC filter, AD converters, introduction to FIR and IIR filters, grey scale and contrast, image compression, Z-transform, fourier transforms and their inverses (discrete and continuous), Fast Fourier Transform (FFT), correlation and convolution, design of FIR filters, border line filters, morphological filters
Course literature:
1. Graig Marven & Gillian Ewers: A Simple Approach to Digital Signal Processing, Texas Instruments, 1993.
2. E.L. Ifeachor & B.W. Jerwis: Digital Signal Processing, Addison-Wesley, 1993.
3. R. Gonzalez & R. Woods: Digital Image Processing, 2nd ed. Addison-Wesley, 1992.
Teaching: No lectures, book exam and project work (ask more from teacher)
Assessment: Exam and project work
Additional Information: http://teg.uwasa.fi/TLTE/AUTO1030/
Integral Transforms I
Course Code: MATH1070
Organiser: Department of Mathematics and Statistics
Credits: 3 ECTS
Teacher: Seppo Hassi / Marko Moisio
Prerequisited: Basic studies in mathematics
Course objective: Introduction to complex analysis and complex functions: differential and integral calculus, series in complex domain.
Course contents: Complex numbers, functions of a complex variable, analytic function, Cauchy-Riemann equations, complex integral, Cauchy integral formula, Series in complex domain: power series, Taylor series, Laurent series. Residue theorem with applications
Course literature:
1. Kreyszig,E: Advanced Engineering Mathematics. John Wiley & Sons (8 th edition) Contents.
Assessment: Exam and exercises
Teaching: Lectures 20 h (in Finnish), exercises 10 h (in Finnish / English)
Integral Transforms II
Code: MATH1080
Organiser: Department of Mathematics and Statistics
Credits: 5 ECTS
Teacher: Seppo Hassi
Assessment: Exam and exercises
Previous study requirements: Complex Analysis and basic studies in mathematics.
Course objective: Introduction to basic of integral transforms
Course contents: Orthogonal series; Fourier series, Fourier transform, Laplace transform and Z-transform. Transfer function. Applications to differential, partial differential and difference equations.
Teaching: Lectures 30 h (in Finnish), exercises 14 h (in Finnish / English)
Basic Course in Probability
Course Code: MATH.2050
Organiser: Department of Mathematics and Statistics
Credits: 5 ECTS
Teacher: Bernd Pape
Assessment: Exam
Course objective: Introduction to Probability Calculation
Course contents: Probability models for equally likely outcome, probability space, discrete and continuous random variables, expectation, conditional probability, independent random variables, generating functions, central limit theorem, bivariate normal distribution
Course literature:
1. Hoel P.G, Port S.C, Stone C.J: Introduction to probability theory
Teaching: Lectures 40 h and exercises 20 h
Object Modeling
Course Code: TITE2040
Organiser: Department of Computer Science
Period: Spring semester
Credits: 5 ECTS
Prerequisites: Programming
Course contents: Introduction to object-oriented concepts. Object-oriented modeling and design using Unified Modeling Language. UML diagrams.
Course literature:
1. UML Distilled (3rd edition). Fowler Martin.
Teaching: No lectures, book exam, project work
Assessment: Exam, project work
Information Security
Course Code: TITE2120
Organiser: Department of Computer Science
Period: Autumn semester
Credits: 5 ECTS
Prerequisites: Operating systems is recommended
Course objective: The student should learn basics of information security
Contents: Introduction to information security. Common security models for progress of information security. Information security threats and risks assessment
Course literature: Literature specified later
Teacher: Jari Töyli
Teaching: Project work
Assessment: Project work
Writing Academic English I
Credits: 3 ECTS
Code: KENG9211
Semester:
Previous studies: Course in Basic English
Aim: After finishing the course the student masters the basic principles of academic writing (structure, argumentation, referencing) and its special features (of style). The student can produce short academic texts and write summaries on the basis of academic articles.
Contents: General basic principles of academic writing, the transformation of research material into a research project. Participants will write short exercise papers. The use of footnotes and annotation of quotations, compiling a list of references, structuring a paper and other rules applying to the production of academic text.
Teaching: 20 hours
Requirements for the credit units: Active participation and short exercise paper.
Course literature: The Harbrace College Handbook.
Evaluation: On a scale of 1−5 / fail
Contact person: Course provided by the Language Centre
Writing Academic English II
Credits: 2 ECTS
Code: KENG9311
Semester:
Previous studies: Writing Academic English I (3 ECTS)
Aim: After finishing the course the student masters the critical and analytical reading. The student can use references correctly and is familiar with the style and structure of academic texts. The student can write a short academic thesis or an article in English and can act as an opponent. The student can produce texts in English in a fluent and concise academic style.
Contents: Conventions of academic writing with focus on the differences between English and Finnish traditions of academic writing.
Teaching: 20 hours
Requirements for the credit units: Written exercises and a final paper of 7 pages which will meet the criteria of academic writing in the English speaking world.
Course literature: As adviced by the teacher.
Evaluation: On a scale of 1−5 / fail
Teacher: Course provided by the Language Centre
Finnish for Foreigners I
Credits: 5 ECTS
Code: KSUO5111
Aim: The student has basic knowledge of Finnish pronounciation, is able to read simple texts and to write on a familiar subject, such as her/him own life.
Contents: Basic grammar and vocabulary for everyday life in Finnish. Short introduction to Finnish culture.
Teaching: Lectures and exercises 60 hours
Requirements for the credit units: Participation in lectures and exercises. Oral and written exercises in class. Passing grade for the vocabulary work. A written exam.
Course Literature:
1. White, Leila (2007): From Start to Finnish. A short course in Finnish (chapters 1−24).
Evaluation: on a scale of 1−5 / fail. The grade consists of attendance and active participation in class, assessment of work done during the course and a written exam at the end of the course.
Contact person: Course provided by Language Centre
Language of instruction: To be taught in English and Finnish.
Information Literacy Skills I
Course Code: OPIS0025
Course Instructor: The information specialists at the Tritonia Academic Library (usered@tritonia.fi).
Credits: 1 ECTS
Period: First autumn semester of the Master Programme
Contents: Basic library skills and information retrieval: Available library services, how to use the information resources needed in the studies, what is scholarly information, different types of information sources, organization of information, information retrieval, evaluation and ethical use of information
Workshops: Library service and user rules, the library’s collections and their accessibility, basic information retrieval, subject-specific information retrieval, using the library’s database (Tria) and basic use of electronic information resources (the Nelli-portal)
Literature: Course material is found in the course management tool Moodle
Teaching: Workshops and course material in Moodle
Assessment: Participation in the workshops, acquaintance with the course material in Moodle and by completing the assignments given in Moodle.
Grading: Pass/fail.
Algebra II
Course Code: MATH2010
Organiser: Department of Mathematics and Statistics
Credits: 5 ECTS
Teacher: Marko Moisio
Assessment: Exam and exercises
Previous study requirements: A basic course in algebra.
Course objective: Introduction to advanced algebra concepts with some modern applications.
Course contents: The course will cover the theory of groups, rings, permutations, fields, coding methods, finite fields, cryptography.
Teaching: Lectures 32 h, exercises 16 h
Discrete Mathematics
Course Code: MATH2020
Organiser: Department of Mathematics and Statistics
Credits: 5 ECTS
Teacher: Marko Moisio
Prerequisites: Basic studies in mathematics
Assessment: Exam
Course objective: Concepts of discrete structures
Course contents: Combinatories, recursive/difference equations, trees, data networks
Course literature:
1. Grimaldi, Ralph P., Discrete and Combinatorial Mathematics
Teaching: No lectures, book exam
Numerical Methods
Course Code: MATH2030
Organiser: Department of Mathematics and Statistics
Credits: 5 ECTS
Teacher: Seppo Hassi
Prerequisites: Basic studies in mathematics
Assessment: Exam
Course objective: Concepts of numerical methods and softwares
Course contents: Numerical methods, interpolation, approximation, numerical integration and derivation. Numerical methods for differential equation, integral transforms, vector- and Fourier analysis. Introduction of mathematics softwares (Matlab and Mathematica)
Course literature:
1. Kreyszig, E.: Advanced Engineering Mathematics, John Wiley & Sons.
2. Malek-Madani, Reza: Advanced Engineering Mathematics with Mathematica and Matlab, Addison-Wesley.
Teaching: No lectures, book exam
Time Series Analysis
Course Code: STAT2010
Organiser: Department of Mathematics and Statistics
Credits: 5 ECTS
Teacher: Seppo Hassi
Prerequisites: Basic studies in mathematics
Course objective: Concepts of time series analysis, time series models, spectrum analysis, estimation and prediction
Contents: Stationary stochastic processes in time and frequency domain, ARMA-models, estimation and testing methods, prediction, spectrum analysis
Course literature:
1. HARVEY, A. C.: Time Series Models, Harvester Wheatsheaf
2. Chatfield C: Analysis of Time Series
Assessment: Exam
Stochastics Processes
Course Code: STAT3030
Organiser: Department of Mathematics and Statistics
Credits: 5 ECTS
Teacher: Seppo Pynnönen
Prerequisites: Basic studies in mathematics
Assessment: Exam
Course objective: To complete the basic skills in probability theory and introduce to the field of stochastic processes and their applications
Course contents: Poisson process, Brownian motion, Markov processes, strong Markov property, Martingales, Markov chain, applications
Course literature:
1. MITRANI, I.: Probabilistics Modelling, Cambridge University Press 1998.
2. WILLIAMS, David: Probability with Martingales, Cambrigde Mathematical Textbooks 1991.
3. NELSON, R.: Probability, Stochastic Processes and Queuing Theory, Springer Verlag
Teaching: 40h Lectures + 20h Exercises
Operation Research
Course Code: ORMS1020
Organiser: Department of Mathematics and Statistics
Credits: 5 ECTS
Teacher: Tommi Sottinen
Assessment: Exam
Course objective: Introduction to mathematical modelling of economic and technical phenomena appearing both in scientific literature and real life.
Course contents: Basic concepts and principles in mathematical modelling, different types of models. Basic structure of a Linear Programming (LP) model. Formulation and solving the LP model and interpreting its solution, sensitivity analysis. Examples of other basic OR models (inventory models, dynamic programming, network models, simulation), examples of computer tools for OR models.
Course literature:
1. The course is based on lectures and exercises; additional reading will be given during the lectures. Exam can also be based on a classical text book as advised by the teacher.
Teaching: Lectures 36 h and exercises 14 h
Advanced Optimazation
Course Code: MATH2040
Credits: 5 ECTS
Mobile Communication Services and Systems
Credits: 5 ECTS
Code: TLTE2010
Grading: Scale 1-5 tai failed
Prerequisites: Telecommunication architectures.
Objectives: Students learn the concepts of mobile communication systems and services as well as the principles of network planning. The course consists of different topics on mobile communications such as introduction to mobile communication systems, GSM Architecture, handover principles in GSM, GPRS, EGSM, system capacity and network planning, UMTS Architectures, services offered by UMTS, the integration of UMTS and GSM systems.
Study Materials:
1. J. Eberspächer, H. Vögel, and C. Bettstetter: GSM, Switching, Services, and Protocols.
2. H. Holma and A. Toskala: WCDMA for UMTS.
3. Lecture notes.
Teaching Methods: Lectures 24 h, project work (each student prepares and presents one oral presentation on a related topic given by the teacher).
Assessments: One presentation and exam.
Teacher: Mohammed Elmusrati.
Language: English.
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi
Advanced Course in Signals and Systems
Credits: 5 ECTS
Code: TLTE2020
Grading: Scale 1-5 or failed
Prerequisites: Digital signal processing.
Objectives: Improving mathematical skills of the students and introducing new mathematical tools for systems analysis. The course consists mainly of: time invariant systems, Laplace and Fourier transform and their applications in linear systems, Analog filters, state space representation, system modeling using state space representation, difference equations, Z-transform, DFT/FFT, Digital filter design, introduction to Matlab applications in linear system analysis and simulations.
Study Materials:
1. S. Karris: Signals and Systems with MATLAB Computing and Simulink Modeling, Orchard Publications; 3rd edition, 2006.
2. B. Girod, R Rabenstein, and A. Stenger: Signals and Systems, John Wiley, 2001.
3. Lecture notes.
Teaching Methods: Lectures and exercises 28 h.
Assessments: Exam and homeworks.
Teacher: Mohammed Elmusrati.
Language: English.
Organiser: Department of Computer Science
Additional information: website http://teg.uwasa.fi
Telecommunication Architectures
Credits: 5 ECTS
Code: TLTE.2030
Grading: Scale 1-5 or failed
Prerequisites: Basic course in probability, Introduction to signals and systems, and Introduction to telecommunication.
Objectives: The course familiarizes the student with the structure and architecture of telecommunications networks, functional entities of the networks, communication protocols and algorithms, and protocol analysis methods. In addition, the course covers most common network standards and solutions.
Study Materials:
1. Lecture notes.
2. W. Stallings: Data and Computer Communications, Prentice Hall, 8th edition, 2007.
3. A. S. Tanebaum: Computer Networks, 4th ed., Prentice Hall, 2004.
Teaching Methods: Lectures 24 h and exercises 12 h.
Assessments: Exam and homeworks.
Teacher: Reino Virrankoski.
Language: English.
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi
Telecommunication Software
Credits: 5 ECTS
Code: TLTE.2040
Grading: Scale 1-5 or failed
Prerequisites: C-programming skills, Introduction to telecommunication
Objectives: The course introduces the main concept of modern programming languages of mobile phones such as Symbian and Java mobile. Moreover, some required basics of the hardware structure of mobile phones are given. Programming methods such as object oriented as well as emulation tools are also introduced.
Study Materials: Lecture notes.
Teaching Methods: Lectures and exercises.
Assessment: Examand project work.
Teacher: Mohammed Elmusrati.
Language: English.
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi
Telecommunication Electronics
Credits: 5 ECTS
Code: TLTE.2050
Grading: Scale 1-5 or failed
Prerequisites: basic studies in electronics and telecommunication.
Objectives: The students learn the basics of analog and digital communication theories as well as the discrete and integrated circuit applications to telecommunication. This course covers the main concepts of signals in time and frequency domains, sensors, filter analysis and design, oscillators, Analog/Digital Phase Locked Loops (PLL) with some applications, AM, PM and FM modulation and demodulation circuits automatic gain control circuits, digital communication circuits, Analog to Digital Converters (ADC), and some communication systems such as satellite communication and Digital TV.
Study Materials:
1. W. Tomasi: Electronic Communications Systems, 5th Edition, Prentice Hall, 2004.
2. M. Roden: Analog and Digital Communication Systems, 5th Edition, Discovery press, 2003.
3. Lecture notes.
Teaching Methods: Lectures and exercises 24 h.
Assessment: Exam and homeworks.
Teacher: Mohammed Elmusrati.
Language: English.
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi
Practical Training (1-10 ECTS)
Course Code: TLTE2950/TLTE3950
Credits: 1-10 ECTS
Website: http://teg.uwasa.fi
Grading: Passed or Failed
Prerequisites: Basic courses of telecommunication engineering.
Goal: In practical training, a student familiarizes himself to work related to communications by working a period in company or public organization, which operates in the area of communications.
Classes: Practical training.
Requirements: Written report having testimonial from the employer attached.
Teacher: Mohammed Elmusrati.
Additional information: It is recommended to register the practical training close to the end of the studies.
Organising unit: Department of Computer Science.
Finnish for Foreigners II
Credits: 5 ECTS
Code: KSUO5112
Previous studies: Finnish for foreigners I, or equivalent knowledge of Finnish.
Aim: The student can express her/his opinion, arrange for a meeting and write brief texts on a familiar subjects (for example an email message).
Contents: The emphasis is on grammar and language production. Students will improve their practical language skills.
Teaching: Lectures and exercises 60 hours
Requirements for the credit units: Participation in lectures and exercises. Oral and written exercises in class. A passing grade in group work. A written exam.
Course Literature:
1. Kenttälä, Marjukka (2004): Kieli käyttöön. Suomen kielen alkeisoppikirja. (chapters 10−18, partly chapter 19) . Helsinki: Yliopistopaino.
Evaluation: on a scale of 1−5/ fail. The grade consists of attendance, active participation in class and a written exam at the end of the course.
Contact person: Course provided by Language Centre
Language of instruction: To be taught in Finnish and English.
The Basics of C-Programming
Code: TITE2190
Credits: 3 ECTS
Grading: Scale 1-5 or failed
Prerequisites: The understanding of common principles of programming. Students without prior knowledge of C-programming are strongly recommended to participate.
Contents: data types, conditions, loops, functions, pointers, static and dynamic allocation, structures, time handling, file handling
Objective: As a low-level programming language, C is favored especially in embedded systems programming. This course provides the basics of C-programming.
Course material:
1. Lecture notes
2. Wikibook C programming
3. B. W. Kernighan and D. M. Ritchie, The C Programming Language
Classes: Lectures 24h, exercises 24h, mandatory project works
Assessment: Mandatory homework and final exam.
Responsible teacher: Tobias Glocker
Course language: English.
Additional information: Website http://teg.uwasa.fi. This course provides the basics needed in Telecommunication Software, Embedded Network Devices and Embedded C-Programming
Organizing unit: Department of Computer Science.
Embedded C-Programming
Code: TLTE2080
Credits: 2 ECTS
Prerequisites: The Basics of C-Programming or similar basic course in C programming.
Contents: This course focuses on the programming of microcontrollers. Participants will learn the architecture of RISC processors and different types of communication protocols. In the exercise classes the participants will learn how to program a microcontroller and how to implement programs with different communication protocols. Contents of the Exercises: I/O Ports, Delays, Interrupts, Timer, Pulse Width Modulation (PWM), Analog to Digital converter (ADC), Universal Asynchronous Receiver/Transmitter (UART), Serial Peripheral Interface (SPI)
Course material:
1. Lecture notes
2. Wikibook C programming
3. B. W. Kernighan and D. M. Ritchie, The C Programming Language
4. Barnett, Cox and O'Cull, Embedded C Programming and the Atmel AVR
Assessment: Mandatory homework and final exam.
Grading: Scale 1-5 or failed
Responsible teacher: Tobias Glocker
Course language: English.
Additional information: Website http://teg.uwasa.fi.
Organizing unit: Department of Computer Science.
Computer Simulation in Communication and Systems
Code: TLTE3120
Credits: 5 ECTS
Grading: Scale 1-5 or failed
Prerequisites: The basics courses of mathematics.
Goal: The students will learn how to design and perform simulations by using MATLAB and SIMULINK by following system engineering practices. Other simulation softwares may be visited briefly.
Course material:
1. Lecture notes
2. MATLAB documentation, http://www.mathworks.com
3. SIMULINK documentation
Classes: Lectures 24h, exercises 24h, mandatory project works
Requirements: Passing the exercises and mandatory project works.
Responsible teacher: Reino Virrankoski
Course language: English.
Organizing unit: Department of Computer Science.
Additional Information: Website http://teg.uwasa.fi. New course, next time in Autumn 2010
Data Processing
Course Code: TITE1020
Credits: 5 ECTS
Information Literacy Skills II
Course Code: OPIS0026
Course Instructor: The information specialists at the Tritonia Academic Library (usered@tritonia.fi).
Credits: 1 ECTS
Period: The teaching is arranged in connection with the Research Seminar
Prerequisites: Information Literacy Skills I
Contents: Systematic information retrieval and adapting your information skills to writing your own thesis: broadened skills of information retrieval, deepened knowledge of printed and electronic information resources within your discipline, extensive information retrieval for your own research topic, broadened knowledge of evaluating information and a deeper knowledge of ethical use of information.
Workshop: Deepened knowledge of methods in information retrieval and of subject-specific information retrieval, information retrieval within your own field using international databases, scholarly journals and other information sources.
Literature: Course material is found in the course management tool Moodle
Teaching: One workshop and course material in Moodle
Assessment: Participation in the workshop, acquaintance with the course material in Moodle and by completing the assignments given in Moodle.
Grading: Pass/fail.
Digital Communication
Credits: 5 ECTS
Code: TLTE.3010
Grading: Scale 1-5 or failed
Prerequisites: Telecommunication Electronics is recommended.
Objectives: In this course the students learn the basic concepts of digital communication systems which is the basis of the modern communication systems. The course covers source coding, sampling theorem, digital modulation/demodulation, error performance analysis, channels and link budget analysis, coding/decoding methods, multiplexing techniques, spread spectrum communication and information theory.
Study Materials:
1. B. Sklar: Digital Communication, 2nd Edition, Prentice Hall, 2001.
2. J. Proakis and M.Salehi. Digital Communication. McGraw-Hill. 2008.
3. Lecture notes.
Teaching Methods: Lectures and exercises 30 h.
Assessment: Exam and homeworks.
Teacher: Mohammed Elmusrati
Language: English.
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi
Wireless Networks
Credits: 5 ECTS
Code: TLTE.3110
Grading: Scale 1-5 or failed
Prerequisites: Digital communication and Telecommunication electronics.
Objectives: The course covers wireless personal, local and wide area networks, as well as ad hoc networks, technology, protocols, performance analysis and network dimensioning.
Study Materials: Lecture notesTeaching Methods: Lectures 24 h and exercises 12 h.
Assessment: Exam and homeworks.
Teacher: Reino Virrankoski.
Language: English.
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi
Teletraffic Theory
Credits: 5 ECTS
Code: TLTE.3040
Grading: Scale 1-5 or failed
Prerequisites: Telecommunication architectures and Basic course in probability. Objectives: This course covers elementary queueing theory and its application to teletraffic and network modeling. In addition, performance analysis methods and network dimensioning based on grade of service constraints are addressed.
Study Materials:
1. Lecture notes
2. V.-B. Ivarsen: Teletraffic Engineering Handbook, http://www.tele.dtu.dk/teletraffic/
3. D. Bertsekas and R. Gallager: Data Networks, Chapters 3&4, 2nd ed., Prentice Hall, 1992.
Teaching Methods: Lectures 24 h and exercises 12 h.
Assessments: Exam and homeworks.
Teacher: Mohammed Elmusrati.
Language: English.
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi. This course is offered every second year.
Introduction to Radio Technology
Credits: 5 ECTS
Code: TLTE.3060
Grading: Scale 1-5 or failed
Prerequisites: Physics and Telecommunication electronics. Advanced course in signals and systems is recommended.
Objectives: This course covers the concepts of RF components and circuits analysis. Main topics are: Introduction to electromagnetic and Maxwell’s equations, Antennas and propagation, Passive RF component modeling, Transmission line analysis, Smith chart, Matching techniques, Single and multi-port network analysis, Waveguides, Active RF components, RF amplifiers, and Microwave equipments, RF frequency generators.
Study Materials:
1. Lecture notes.
2. C. Coleman: Radio frequency Engineering, Cambridge, 2004.
3. J. Edminister: Electromagetics, 2nd Edition, McGraw-Hill, 1993.
4. R. Ludwig and P. Bretchko: RF Circuit Design, Theory and Applications, Prentice Hall, 2000.
Teaching Methods: Lectures and exercises 28 h.
Assessment: Exam and homeworks.
Teacher: Mohammed Elmusrati.
Language: English.
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi. This course is offered every second year.
Cryptography
Code: TITE3140
Organiser: Department of Computer Science
Period: Spring semester
Credits: 5 ECTS
Teacher: Matti Linna
Prerequisites: Information Security
Course contents: Basic methods of cryptography, progress of cryptography, modern public-key encryption, and authentication
Course literature:
1. Stallings (1998). Cryptography and Network Security. Prentice Hall.
2. Penttonen Martti: Data Security 2003 Lecture notes
Teaching: Lectures 24 h (in Finnish), exercises 12 h (Finnish / English)
Assessment: Exam, exercises
Additional information: Students are required to register for the course beforehand. More information available at http://teg.uwasa.fi/TLTE/TITE3140/.
Broadband Wireless Communication
Credits: 5 ECTS
Code: TLTE.3030
Grading: Scale 1-5 or failed
Prerequisites: Digital communication and Mobile communication services and systems.
Objectives: The course covers advanced wireless wideband transmission technologies and their applications to enhanced and beyond third generation networks and services. Course topics include channel modeling, spatial diversity transmission techniques, Beamforming, MIMO, OFDM, OFDMA, multi-carrier CDMA, and ultrawideband communications.
Study Materials:
1. D. Tse and P. Viswanath, Fundamentals of Wireless Communication, Cambridge Univ. Press, 2005.
2. Lecture notes
Teaching Methods: Lectures 24 h and 12 h exercises.
Assessments: Exam and homeworks.
Teacher: Mohammed Elmusrati
Language: English
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi. This course is offered every second year.
Radio Resource Management
Credits: 5 ECTS
Code: TLTE.3050
Grading: Scale 1-5 or failed
Prerequisites: Mobile communication services and systems and Digital communication.
Objectives: This course covers the basic concepts of radio resource management and its application in current and future wireless communication systems. Main topics are following: Multiple access fundamentals, mobile channel modeling, CDMA systems, performance measure, Handover and mobility, power and rate control, dynamic channel allocation, smart antennas, packet scheduling techniques, RRM for infrastructureless wireless communication systems.
Study Materials:
1. Lecture notes.
2. J. Zander and S. Kim: Radio Resource Management for Wireless Networks.
3. Holma and Toskala, WCDMA for UMTS.
Teaching Methods: Lectures and exercises 28 h.
Assessment: Exam and homeworks.
Teacher: Mohammed Elmusrati
Language: English
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi. This course is offered every second year.
Special Topics in Telecommunications
Credits: 1–10 ECTS
Code: TLTE.3070
Grading: Scale 1-5 or failed
Prerequisites: Depend on particular topic
Objectives: This course has changing content. The current content is always indicated by the course subtitle presented in the course website.The main goal is to introduce new topics and quickly react to needs of evolving telecommunications technology. Partisipants should learn a topical subject or deepen his insight in a theoretical question.
Study Materials: Course material depends on the particular topic and it will be listed in the course website.
Teaching Methods: To be announced later.
Assessment: To be announced later.
Teacher: Mohammed Elmusrati.
Language: English.
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi
Project Work in Telecommunication
Credits: 3–15 ECTS
Code: TLTE.3080
Grading: Scale 1-5 or failed
Prerequisites: Related subject studies on telecommunications
Objectives: The student learns to solve real life or scientific problems. The topic of the project work must be decided with the supervisor. In general, suitable topics can be suggested fromnetwork design, dimensioning, performance analysis, service concepts and software design.. Discussions solving a small research problem as well as literature surveys are also possible project work topics.
Study materials: Relevant background material.
Teaching Methods: Project work.
Assessment: Written report and either oral exam or seminar presentation.
Teachers: Mohammed Elmusrati and Reino Virrankoski.
Language: Finnish and English.
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi
Telecommunications Seminar
Credits: 3–10 ECTS
Code: TLTE.3090
Grading: Scale 1-5 or failed
Prerequisites: Related subject studies on telecommunication engineering.
Objectives: The course discusses contemporary topics in telecommunications or alternatively it focuses on some theoretical problem. The student should learn to seek scientific information and to prepare and give a seminar presentation.
Study Materials: Will be given in the first seminar meeting
Teaching Methods: Seminar.
Assessments: Written report and seminar presentation.
Teacher: Mohammed Elmusrati.
Language: English.
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi
Embedded Network Devices
Credits: 5 ECTS
Code: TLTE.3100
Grading: Scale 1-5 or failed
Prerequisites: Computer architecture, C/C++ programming, Wireless Networks and Embedded systems.
Objectives: This course covers embedded network devices design and protocol implementation to them. Architectures and operation principles of typical embedded computer systems are included, including embedded software and structured system design methodologies. The course includesmandatory laboratory exercises to learn the protocol implementation and debugging in proctice.
Study Materials: Lecture notes
Teaching Methods: Lectures 18 h, laboratory exercises 28 h.
Assessments: Exam, laboratory exercises and homework project.
Teacher: Reino Virrankoski.
Language: English.
Organiser: Department of Computer Science
Additional Information: website http://teg.uwasa.fi
Optics
Course Code: AUTO3160
Organiser: Department of Electrical Engineering and Automation.
Credits: 5 ECTS
Teacher: Jarmo Alander
Prerequisites: Basic physics and electronics
Course objective: Optics will give an introduction to optics and its applications like optical fibers
Course contents: Electromagnetic waves, reflection and refraction law, polarization, intensity, interference, birefringence, diffraction. Lens, grid, prism and fiber
Course literature:
1. Hecht: Optics, Addison-Wesley, 2002.
Teaching: No lectures in English. Book exam and project work.
Assessment: Exam and project work
Additional Information: Course material available online at http://lipas.uwasa.fi/~TAU/AUTO3160/
Optoelectronics
Course Code: AUTO3170
Organiser: Department of Electrical Engineering and Automation
Credits: 5 ECTS
Teacher: Jarmo Alander
Course objective: Planning and realising a simple optoelectronic system
Course contents: Course will give an introduction to optics and its electronical applications like optical fibers, LEDs, optical diodes, transistors, and applications. The course is recommended for everyone interested in automation, electronics and measurements
Course literature:
1. Literature specified during lectures
Teaching: No lectures in English. Book exam and project work
Assessment: Exam and project work
Additional Information: Course material available online at http://lipas.uwasa.fi/~TAU/AUTO3170/
Advanced Signal Processing
Course Code: AUTO.3200
Organiser: Department of Electrical Engineering and Automation.
Credits: 5 ECTS
Teacher: Jarmo Alander
Prerequisites: Digital Signal Processing
Course objective: Introduction to sound processing.
Contents: Definitions and measurements of audio signals. Technics for compensation of audio equipment.
Literature:
1. Literature specified during lectures
Teaching: No lectures in English. Book exam andproject work.
Assessment: Exam and project work
Seminar on Signal Processing
Course Code: AUTO.3210
Organiser: Department of Electrical Engineering and Automation.
Credits: 3 ECTS
Teacher: Jarmo Alander
Previous study requirements: Digital Signal Processing, Advanced Signal Processing is also recommended
Course contents: Latest developments in signal processing. Participants will talk about their favourite signal processing topics. The course is recommended for everyone dealing with signal processing and applications. The course is especially useful as providing further insight for the study of signal processing.
Teaching: Lectures 5 h, presentations 25 h, conversation 5 h
Assessment: Presentation. Mandatory presentation attendance 80%
Additional information: Course material available online at http://lipas.uwasa.fi/~TAU/AUTO3210/
Embedded Systems
Course Code: AUTO.3230
Organiser: Department of Electrical Engineering and Automation.
Credits: 5 ECTS
Teacher: Jarmo Alander.
Previous study requirements: Programming and basics of digital electronics
Course objective: Basic of embedded systems
Course contents: Development of embedded systems, their hardware solutions and application areas. Microprocessor architecture and programming / assembler, programming tools and program development methods.
Course literature:
1. Dhananandy V. Gadre: Programming and Customizing the AVR Microcontroller, McGraw-Hill 2001.
Teaching: No lectures in English. Book exam and project work
Assessment: Exam and project work
Additional information: Course material available online at http://lipas.uwasa.fi/~TAU/AUTO3230/
Master’s Thesis
Course Code: TLTE3990
Organized: Topic will be decided together with the supervisor by request
Credits: 30 ECTS
Website: http://teg.uwasa.fi
Grading: Scale 1-5 or failed
Prerequisites: At least part of telecommunication 3-courses must be completed.
Goal: Master’s Thesis work includes a seminar, where partial participation is mandatory. At the beginning of the thesis work, a student must prepare and present a plan about his thesis content. During the work, the progress must be reported in the reports prepared to present in the thesis seminar. Master’s Thesis must be written according to the Master’s Thesis instructions and writing instructions provided by the faculty.
Course material: Books and articles related to the thesis topic.
Requirements: Thesis work including the mandatory reports and mandatory participation to the thesis seminar (at least 4 h of lectures and 10 h of seminars).
Teacher: Mohammed Elmusrati.
Additional information: See Master’s Thesis writing guidance from the faculty’s website. If the maturity test is not completed in the context of Bachelor’s Thesis in the University of Vaasa, it must be written from the topic defined by the thesis instructor. One can register to the maturity test once the Master’s Thesis manuscript is left to faculty in its final form.
Organizing unit: Department of Computer Science.
