Minor Subject OR Complimentary studies 25 ECTS. Master s Thesis in Telecommunication Engineering 30 ECTS. Optional Studies 10 ECTS

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1 Handbook for Master s Programme in Telecommunication Engineering

2 Foreword Learning outcomes Degree Structure (120 ECTS) 2 Welcome to Master s Programme in Telecommunication Engineering and to the University of Vaasa. This Handbook is designed to provide assistance and information about your studies. This information can also be found from the website For timetables, rooms, course descriptions and possible changes, follow WebOodi, Wompat and Lukkari (the timetable generation system). Follow also updates on the Communications and Systems Engineering Group website at cs.uwasa.fi/comsys and remember to check your regularly. Introduction MASTER OF SCIENCE (TECHNOLOGY) 120 ECTS credits Master s Programme in Telecommunication Engineering is an international Master s programme focusing on the most popular telecommunication networks of both the present and the future. Emphasis of the programme is on wireless communications and mobility issues. The programme also addresses the areas of telecommunication architecture evolution, digital communication and radio technology. Key subject areas in mobile networks are wireless communication, quality of service, mobility and security. Students have the opportunity to take courses in both general telecommunications and in specific fields of mobile communication. We offer 18 different courses and Master s Thesis. In these courses you will learn how to: Demonstrate different advanced wireless communication systems, structures, and theories. Evaluate different practical communication systems and to compare between different options for some certain applications. After some training in industry, the student will be able to design communication systems/networks/platforms. Demonstrate the integration between wireless communications and systems, e.g., embedded systems, wireless automation, and wireless sensor networks. Writing up to date and high level scientific reports in different related areas such as wireless communication, embedded systems, automation, etc. The student will have strong scientific research skills. Hence, S/He will be able to continue her/his PhD studies smoothly in any technical university. The student will be able to present his/her ideas publicly and defend them in a scientific way. The student will be able to work efficiently in groups as well as individually. The student will be able to use high-level computer packages such as Matlab to make simulations for systems. Develop and propose new solutions for some technical problems in wireless communication and applications. Understanding and analyze the new future communication systems Master s Thesis in Telecommunication Engineering 30 ECTS Major Studies in Telecommunication Engineering 40 ECTS Please, note the following two things: 1. One course can be used only in one entity (one box above) and 2. Some of the courses are not lectured every year. Supplementary studies Students, who have their B.Sc. degree from polytechnic / university of applied sciences or from some other major subject than telecommunications, must do supplementary studies. The exact amount of the required supplementary studies (maximum of 60 ECTS) depends on the content of the degree. It will be defined in the personal study plan (PSP), which each student must do. Then the PSP must be accepted by the Head of the Programme. For example: Supplementary studies (23 ECTS) to students holding B.Sc. degree from Finnish polytechnic/university of Applied Sciences: AUTO1030 Digital Signal Processing 5 ECTS MATH1070 Integral Transforms I 3 ECTS MATH1080 Integral Transforms II 5 ECTS TITE2040 Object Modelling 5 ECTS TITE2120 Information Security 5 ECTS Supplementary Studies 0 60 ECTS Degree 120 ECTS Minor Subject OR Complimentary studies 25 ECTS Personal Study Plan 0 ECTS Optional Studies 10 ECTS Method Studies 16 ECTS Method Studies (16 ECTS) Mandatory Courses KENG9212 Writing Academic English 5 ECTS KSUO5111 Finnish for Foreigners I 5 ECTS OPIS0025 Information Skills I 1 ECTS (unless completed in the previous degree) Choose courses worth of at least 5 ECTS of the following MATH2010 Algebra II 5 ECTS MATH2020 Discrete Mathematics 5 ECTS MATH2030 Numerical Methods 5 ECTS STAT2010 Time Series Analysis 5 ECTS STAT3030 Stochastics Processes 5 ECTS ORMS1020 Operation Research 5 ECTS MATH2040 Advanced Optimization 5 ECTS or separately agreed course 3

3 Minor Subject or Complementary Studies (25 ECTS) The students, who have their B.Sc. degree in telecommunications major subject, will do a minor. Minor subject can be chosen from any field, but it must be agreed in PSP. Faculty of Technology offers two minor subjects in English: Computer Science and Industrial Management (see It is also possible to take a minor subject from other faculties or other universities as long as it is agreed in PSP. The students, who have their B.Sc. degree from some other major subject than telecommunications, will do complementary studies. These studies consist of following courses, which are all mandatory if complementary studies are required: MATH2050 Probability Calculus 5 ECTS TLTE3110 Wireless Networks 5 ECTS TLTE2010 Mobile Communication Services and Systems 5 ECTS TLTE2040 Telecommunication Software 5 ECTS TLTE2050 Telecommunication Electronics 5 ECTS Major Studies and Master s Thesis 60 ECTS Mandatory Courses (22 ECTS) TLTE3130 Embedded C-Programming 2 ECTS TLTE3150 Advanced Course in Signals and Systems 5 ECTS TLTE3050 Radio Resource Management 5 ECTS TLTE3160 Telecommunication Architectures 5 ECTS TLTE3010 Digital Communication 5 ECTS Optional major courses, enough courses to reach a total of 40 ECTS must be chosen TLTE3030 Broadband Wireless Communication 5 ECTS TLTE3070 Special Topics in Telecommunications 1 10 ECTS TLTE3080 Project Work in Telecommunications 3 15 ECTS TLTE3090 Telecommunications Seminar 3 10 ECTS TLTE3100 Embedded Network Devices 5 ECTS TLTE3040 Teletraffic Theory 5 ECTS TLTE3060 Introduction to Radio Technology 5 ECTS TITE3140 Cryptography 5 ECTS TLTE3120 Computer Simulation in Communication and Systems 5 ECTS TLTE3990 Master s Thesis and maturity test 30 ECTS Optional Studies (9 15 ECTS) The students may choose these optional courses from any study program of the University of Vaasa (or from other universities if agreed in PSP). For Example: TLTE3950 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 credit. One must also write a report about the training. Recommended optional courses KSUO5112 Finnish for Foreigners II 5 ECTS TLTE2100 Computer Architectures 5 ECTS TITE2190 Basics of C-programming 3 ECTS TLTE3120 Computer Simulation in Communication and Systems 5 ECTS Mathematical courses TITE1020 Data Processing 5 ECTS OPIS0026 Information Skills II 1 ECTS Telecommunication Engineering as a Minor Subject 25 ECTS for other than telecommunication students Telecommunication Engineering minor subject consists of following courses: TITE2190 The Basics of C-Programming (3 ECTS) TLTE3150 Advanced Course in Signals and Systems (5 ECTS) TLTE3160 Telecommunication Architectures (5 ECTS) TLTE2040 Telecommunication Software (5 ECTS) TLTE2050 Telecommunication Electronics (5 ECTS) It is also possible to agree on minor courses between student and the Head of the Programme. Teaching periods At the University of Vaasa the Academic year is divided into five periods. These periods begin and end simultaneously in all faculties. Teaching is running during the periods, but one week of each period is reserved for exams and there is no teaching during that week. During the academic year the periods are as follows: Autumn Semester 2013 I period weeks (2nd September 25th October) II period weeks (28th October 13th December) Exam weeks are: week 36, week 43, week 50 and week 51 Spring Semester 2014 III period weeks 2 8 (7th January 22st February) IV period weeks 9 14 (24th February 4th April) V period weeks (7th April 23rd May) Easter holiday 17th April 21st April Exam weeks are: week 2, week 8, week 14, week 20, week 21 and week 22 Courses Students need to register for the courses in advance by using the WebOodi System (weboodi.uwasa.fi/oodi). Timetables for the courses are available in the timetable generator system Lukkari (asio.uwasa.fi). Please follow the changes regularly. Information and material about telecommunication courses is available on Communications and Systems Engineering Group website (cs.uwasa.fi/ comsys). There is a possibility that courses might overlap. In this case register normally for both and then choose which one you attend. However, note that it is mandatory to attend to the classes of some courses. Master s degree students are expected to complete courses worth approximately 30 ECTS in each semester. Notice that the extending of the student s residence permit requires that the student can show sufficient progress in his studies in terms of credits. The total number of credits required for a Master s degree is 120 ECTS, including the Master s Thesis (30 ECTS). Contact Communication and Systems Engineering Group faculty staff to define the topic, supervisor and instructor when you are planning to start writing your Master s Thesis. After completing your Master s Thesis, you still need to pass a maturity test, which is a written exam based on the content of your thesis. Your thesis supervisor will prepare the maturity test and it will take place either on one of the regular examination days or you can agree a specific date with your supervisor. Detailed course descriptions can be found on the websites (telecom courses at cs.uwasa.fi/comsys) or at the end of this handbook. Exams Students must register for an exam at least 7 days in advance by using WebOodi (weboodi.uwasa.fi/oodi). The earliest time the registration is possible is one month before the exam day. Course lecturer will give you the information about the possible retake exam dates. Notice that exams can be held also on Saturdays. Check the information on date, time and location from WebOodi. At the beginning of each semester, the International Office together with the Student Union organizes an orientation course for the university studies, and the information systems like WebOodi are discussed in that course. 4 5

4 Evaluation and Registration of Credits According to Degree Ordinance 12 of the University of Vaasa, exam results must be announced within 30 working days of the exam date. In case of delay, the lecturer or other person responsible for announcing the results will have to inform the students about the delay within the 30 days of the exam. The evaluation criteria are public and the student may inquire about these from the examiner. A student may have a look at his corrected exam or course work and get information about the details of the evaluation by visiting the examiner during his office hour. Exam results are displayed on course website (or on each department s notice board) and in the WebOodi system. Credits for entire courses are registered in the Transcript of Records at the departments. Courses that include mandatory written exercises, programming exercises or other sub-tasks will be registered only after all required sub-tasks are completed. For this reason it is important that the student, whenever possible, completes the course including all the required sub-tasks simultaneously. The student either passes a course with a grade between 1 5 or fails. There are a couple of courses where just a grade passed is given if the course is passed, but not that many. The transcript of records includes an explanation of the grading system and the ECTS credit system. Students can check their own credit record in the WebOodi. Official transcripts of records are available in the International Office upon request. Transcript of University Records Official transcripts of university records can be ordered from the International Office on request. This document shows all the courses passed, with grades and credits (ECTS credits and a brief explanation of the grading scale at the University of Vaasa). Please be prepared to wait for one whole workday after your request. Exams, Homeworks and Thesis: DO NOT CHEAT! Plagiarism and cheating in exams and other written work is considered a serious offence at Finnish universities. According to the Degree Ordinance 19 of the University of Vaasa, plagiarism or cheating in examination may lead to cancellation of the course result and dismissal from the University. The University of Vaasa will inform the immigration officials and police about possible offences when processing the residence permit applications. In addition, if possible employers ask for information (reference) about former students of the university, the above mentioned offences will be informed to the employers both in Finland and in other countries. In the case of exchange students, the International Office of the University of Vaasa will terminate the student s exchange period immediately and inform his home university about the offence. Please avoid even the suspicion of plagiarism or cheating in examinations! Exams: Code of conduct Do NOT talk in the exam! Be on time. The doors of the examination venue will be locked 15 minutes past the hour and no one is allowed to enter after that. The invigilator / supervisor of the exam will allocate a seat for each student. When taking seats in the auditorium leave one empty seat on both sides (sometimes two, please follow the invigilators instructions). You are only allowed to have writing equipment and the instruments specifically allowed for the exam with you (for example a dictionary or pocket calculator). Bags and jackets have to be left at the side of the exam hall. Mobile phones must be switched off during the exam. Any kind of communication with other students is strictly forbidden after you have received the questions. Ignoring this regulation may result in an allegation of cheating in the examination. You are not allowed to read the exam questions until the invigilator gives you permission to do so. Thus keep your paper turned upside-down until you get permission to start the exam from the invigilator. If necessary, the invigilator will clarify unclear points in the examination paper. You can attract the attention of the invigilator by raising your hand if you need to clarify something or more paper is required or you wish to go to the toilet, etc. You are allowed to enter the exam hall max. 15 minutes after the exam has started. You are not allowed to leave the exam hall during the first 45 minutes of the exam. You are not allowed to leave the exam hall for a cigarette etc. and come back to write your exam. Before leaving everyone has to hand in the exam paper to the invigilators. Please check that each exam paper you submit has your name, your student number, name of the exam, and name of the examiner. You have to show your identity card when returning the exam papers to the invigilator. If it is found out that a student is cheating in an exam, he/she will receive punishment which can lead to a termination of studies at the University of Vaasa. Personal Study Plan (PSP) All Master s degree students must make a Personal Study Plan (PSP, also abbreviated HOPS in Finnish) at the beginning of their studies. PSP is an informal agreement between the student and the Faculty (student advisor/teacher) and it can be corrected and updated during the studies. The general PSP comprises a timetable of the courses the student is planning to take. It also includes information about the thesis, estimated graduation time and some open questions. More information about PSP is given during the orientation days and in programme meetings arranged in the beginning of the academic year. Personal Study Plans can be found at: for/student/studies/planning/psp. Graduation and Thesis Contact Communication and Systems Engineering Group faculty staff to define the topic, supervisor and instructor when you are planning to start writing your Master s Thesis. The total number of credits required for a Master s degree is 120 ECTS credits including the Master s Thesis (30 ECTS). After completing your Master s Thesis, you still need to pass a maturity test, which is a written exam based on the content of your thesis. Your thesis supervisor will prepare the maturity test and it will take place either on one of the regular examination days or you can agree a specific date with your supervisor. The Master s thesis must be handed in for the final reading 4 5 weeks before the Faculty Dean s resolution in which the thesis is to be approved. Also the maturity test has to be taken good in time since its correction can take up to 4 weeks. You must have permission from your thesis supervisor to cover your thesis, before you send it to covering. Notice that the covering will also take some time and the copies you return for the Dean s resolution must be covered ones. Please check with your thesis supervisor the latest dates on which you can submit your thesis and take the maturity test. Further information about graduation is available at: www. uva.fi/en/for/student/studies/graduation. The information on how to write your Master s Thesis can be found from here: 6 7

5 Career Services You can always ask from the faculty staff about the contact information and work or internship opportunities in the industry which collaborates with the university. For the guidance in work life matters (how to apply for a job, job application, CV, etc.) you can book a time from the Coordinator of International Education Sami Ilomäki: sami.ilomaki(a)uva.fi, location: Fabriikki building, room F243. Office hours: every Monday See also the web sites on Career Services: en/for/student/guidance/career. Work Permit International students holding residence permits issued for studying may work without a work permit 25 hours a week during semester time, and full-time during holidays. These limitations do not concern citizens of the Nordic and EU/EEA countries. However, you should bear in mind that the competition for open positions can be hard. Pay also attention to balance between work and studies: full or part-time working during the semester time should not remarkably delay your studies and graduation. Please note that the financing must come from your side. The University of Vaasa does not have any kind of scholarship for the programme and it does not offer any kind of financial aid for international students. The programme is also full-time and thus working is not an option to finance the studies in Finland. Guidance and Study Counseling The Coordinator of International Education and the faculty staff will give the guidance concerning the International Master s Programme. All members of personnel have office hours during which students can make their inquiries. The responsibility areas are as follows: Faculty Staff (Fabriikki building, 2nd and 3rd floor) Study counseling connected to courses, degrees, programs and study plans Personal study plan (PSP/HOPS) Choosing additional courses/studies Questions concerning students legal protection International Office (Luotsi building, 1st floor) Registration Signing up for two exams simultaneously General enquiries (e.g. course timetables, signing up for courses) Certificates Academic Affairs Office and other student services (Luotsi building, 1st floor) Change of address (Academic Affairs Office) Degree certificates, exam arrangements (Academic Affairs Office) Students legal protection (Head of Academic Affairs) WebOodi The WebOodi system is available at weboodi.uwasa.fi. You may select the language from the bottom of the main menu on the left side of the window. This menu shows the functions available for everyone, even without logging in. You may browse information about, for example, teaching events even if you do not have a valid username or password. You will also find instructions on how to use the WebOodi at the bottom of the menu. In order to register to WebOodi, enter your username and password to the empty boxes. Then press the Enter button. After logging in, you will be taken to your personal front page where you can select the function of your choice from the main menu. The courses of the day and the exams for which you have registered through WebOodi will appear on your calendar. Your personal student number and your name are visible in the upper left corner of the window. Even if you have several rights to study, you have only one student number in use. The different functions of WebOodi are shown on the main menu on the left side of the window. You can search for information using the By search terms or By organisation option. These allow you to search for information on, for example, study modules or courses and exams. In My studies, you can observe your planned studies, valid registrations, credits, and upgraded or rejected studies. By using the Transcript of studies item, you may order an unofficial transcript of records to your address. The Other functions option enables you, for example, to update your personal information such as address and phone number. End your WebOodi session by clicking on Quit in the main menu. WebOodi then returns to the starting page and you may exit the browser. When you stop using WebOodi, always quit your session properly to prevent the next computer user from accessing and modifying your data. If you want to write two exams on the same day, you need to fill in the form Registration for two exams available at the International Office. Please also remember to register for both exams in WebOodi Fees Master s degree students do not have any tuition fees. However, they are required to pay the Student Union membership fee of 128 euro per academic year or 69 euro per semester. Membership entitles Master s degree students for subsidized meals in campus restaurants, student healthcare and various discounts on and off campus. Telecommunication Engineering Staff: Mohammed Elmusrati Professor, Head of the Programme +358 (0) Fabriikki, room F378 Timo Mantere Professor +358 (0) Fabriikki, room F391 Reino Virrankoski Senior Researcher +358 (0) Fabriikki, room F391 Tobias Glocker University Teacher +358 (0) Fabriikki, room F Severi Luoto / Sami Ilomäki Coordinator of International Education Student guidance (PSP & Career Services) Fabriikki Office hours: Mondays

6 COURSE DESCRIPTIONS Supplementary Studies Students, who have their B.Sc. degree from polytechnic / university of applied sciences or from some other major subject than telecommunications, must do supplementary studies. The exact amount of the required supplementary studies (maximum of 60 ECTS) depends on the content of the degree. It will be defined in the personal study plan (PSP), which each student must do. Then the PSP must be accepted by the program management. AUTO.1030 DIGITAL SIGNAL PROCESSING (5 ECTS) Organizing Unit: Department of Electrical Engineering and Automation Website: teg.uwasa.fi/tlte/auto1030 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, E.L. Ifeachor & B.W. Jerwis: Digital Signal Processing, Addison-Wesley, R. Gonzalez & R. Woods: Digital Image Processing, 2nd ed. Addison-Wesley, Teaching: No lectures, book exam and project work (ask more from teacher) Requirements: Exam and project work MATH1070 INTEGRAL TRANSFORMS I (3 ECTS) Organizing Unit: Department of Mathematics and Statistics Credits: 3 ECTS Teacher: Seppo Hassi / Marko Moisio Prerequisites: 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: Kreyszig,E: Advanced Engineering Mathematics. John Wiley & Sons (8 th edition) Contents. Requirements: Exam and exercises Teaching: Lectures 20 h (in Finnish), exercises 10 h (in Finnish / English) MATH1080 INTEGRAL TRANSFORMS II (5 ECTS) Organizing Unit: Department of Mathematics and Statistics Teacher: Seppo Hassi Requirements: Exam and exercises Prerequisites: 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) TITE.2040 OBJECT MODELLING (5 ECTS) Prerequisites: Programming Learning outcomes: After passing the course students know the modeling language UML diagram types and understand the interconnections between them and will be able to produce an UML description of some practical problem. Course contents: Introduction to object-oriented concepts. Object-oriented modeling and design using Unified Modeling Language. UML diagrams. Teaching: Lectures 22 h, exercises 20 h, project work Requirements: Exam, project work Evaluation: On a scale of 1 5 / fail Course literature: lecture material and additional material informed during the lectures. Teacher/Contact person: Hannu K. Niinimäki Organizing Unit: Department of Computer Science TITE.2120 INFORMATION SECURITY (5 ECTS) credits Prerequisites: Basic understanding of information systems is recommended Learning outcomes: After completing this study module the student can name and define the fundamental concepts of information security. The student understands the significance information security for the organization and can apply some of its basic concepts in practice. The student is capable to identify and categorize the fundamental elements of security system and by combining them to build a fundamental level of information security system for the company. The student is also capable to identify simple security risks and threads and also propose solutions for them. The student knows and is capable to install a network protocol analyzer and a network surveillance tool. Course contents: Introduction to information security. Common security models for progress of information security. Information security threats and risks assessment Teacher/Contact person: Jari Töyli Teaching: lectures 24 h, exercises 12 h, project work No teaching in English Requirements: Exam and project work Course literature: 1. Stallings, W., Brown, L. (2008). Computer Security: Principles and Pract2. NIST, National Institute of Standards and Technology. (1995). An Introduction to Computer Security: The NIST Handbook. Special publication Lecture material 2. an Introduction to Computer Security, the NIST Handbook (1995), special publication information security handbook: A guide for Managers, NIST special Publication Contingency Planning Guide for Information Technology Systems, NIST Special Publication Evaluation: On a scale of 1 5 / fail Organizer: Department of Computer Science (kilmo.uwasa.fi) PERSONAL STUDY PLAN (PSP) Code: OPIS0016 Credits: 1 ECTS Prerequisites: Learning Outcomes: Content: All Master s degree students make a Personal Study Plan (PSP) in the beginning of theirs studies. PSP is an informal agreement between the student and the Faculty (student advisor/teacher) and it can be rechecked and corrected during the studies. General PSP comprises a timetable of the courses the student is planning to take. It also includes information about thesis, estimated graduation time and some open questions. PSP forms are available online. More information about PSP is given during the orientation days and in the programme meetings arranged in the beginning of the academic year. Handbook of the Programme, Websites of University of Vaasa Teaching Methods: Modes of Study: Personal Study Plan PSP Languages: Finnish, English Grading: pass/failed Responsible Person: Teacher(s): Head of the Program, Coordinator of International Education Responsible Unit: Faculty of Technology Additional Information: more information on PSP on the internet:

7 Method Studies (16 ECTS) Mandatory Courses WRITING ACADEMIC ENGLISH KENG9212, 5 ECTS Previous studies: Basic studies in English (5 ECTS) Course aim: B2 C1 Aim: The student becomes aware of the characteristic features of academic writing, can identify, practice and master the principles of academic writing, and can apply them. The student develops critical and analytical reading skills, and can produce and review academic texts. The student also recognizes the challenges s/he faces as the user of English as a foreign language, and learns what constitutes plagiarism and academic dishonesty. Contents: The students will be introduced to the notions of audience, purpose, register and style as they pertain to academic writing. They will also learn about the structure and organization of academic texts such as summaries, definitions, data commentaries, reviews, research plans and research papers. The students will practice analytical reading, and identify rhetorical strategies used in academic writing. The students will also develop critical reading and note-taking skills, as well as learn and apply the principles of documentation. In addition, attention will be brought to frequent patterns produced by users of English as a foreign language in academic texts. Teaching: 30 hours Requirements for the credit units: The students produce short written assignments and a longer final written assignment. They should also participate actively in class. Course literature: The Harbrace College Handbook and other materials as instructed. Evaluation: On a scale of 1 5 / fail Contact person: Course provided by the Language Centre. FINNISH FOR FOREIGNERS I Code and credits: KSUO.5111, 5 ECTS Aim: The student has basic knowledge of Finnish pronunciation. She/he is able to communicate in everyday life situations, to read simple texts and to write about a familiar subject, such as her/his 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: White, Leila (2012): From Start to Finnish. A short course in Finnish (chapters 1 24) or Gehring, Sonja & Sanni Heinzmann (2010): Suomen mestari I. Suomen kielen oppikirja aikuisille. According to the lecturer s instructions Supplementary material: White, Leila (2008): A Grammar Book of Finnish or White, Leila (2008): Suomen kielioppia ulkomaalaisille. 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: Marjut Männistö Language of instruction: To be taught in Finnish and English. INFORMATION SKILLS I Code: OPIS0025 Credits: 1 ECTS Recommended time of completion: first autumn semester Prerequisites: Learning Outcomes: students are able to use Finnish library and information services effectively, apply various information retrieval tools efficiently and use information ethically Content: general principles of information seeking, basic information retrieval techniques, information resources and library services needed in the studies, information ethics online course material Teaching Methods: obligatory workshops 4 h, online training Modes of Study: online assignments and a multiple choice exam Grading: pass/failed Responsible Person: Teacher(s): Responsible Unit: Tritonia Additional Information: Choose courses worth of at least 5 ECTS of the following ALGEBRA II Code: MATH2010 Prerequisites: a basic course in algebra Learning Outcomes: introduction to advanced algebra concepts with some modern applications Content: the course will cover the theory of groups, rings, permutations, fields, coding methods, finite fields, cryptography Teaching Methods: lectures 32 h, exercises 16 h Modes of Study: exam and exercises Grading: 1-5 or failed Responsible Person: Marko Moisio Teacher(s): Responsible Unit: Department of Mathematics and Statistics Additional Information: Not academic year DISCRETE MATHEMATICS Diskreetti matematiikka Code: MATH2020 Prerequisites: basic studies in mathematics Learning Outcomes: concepts of discrete structures Content: combinatories, recursive/difference equations, trees, data networks Grimaldi, Ralph P., Discrete and Combinatorial Mathematics Teaching Methods: no lectures, book exam Modes of Study: exam Languages: Finnish and English Responsible Person: Marko Moisio Teacher(s): Marko Moisio Responsible Unit: Department of Mathematics and Statistics Additional Information: NUMERICAL METHODS Numeeriset Menetelmät Code: MATH2030 Prerequisites: basic studies in mathematics Learning Outcomes: concepts of numerical methods and softwares Content: 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) 1. Kreyszig, E.: Advanced Engineering Mathematics, John Wiley & Sons 2. Malek-Madani, Reza: Advanced Engineering Mathematics with Mathematica and Matlab, Addison-Wesley Teaching Methods: no lectures, book exam Modes of Study: exam Languages: Finnish/English Responsible Person: Seppo Hassi Teacher(s): Rudi Wietsma Responsible Unit: Department of Mathematics and Statistics Additional Information: TIME SERIES ANALYSIS Aikasarja-analyysi Code: STAT2010 Prerequisites: basic studies in mathematics Learning Outcomes: concepts of time series analysis, time series models, spectrum analysis, estimation and prediction Content: stationary stochastic processes in time and frequency domain, ARMA-models, estimation and testing methods, prediction, spectrum analysis 12 13

8 1. HARVEY, A. C.: Time Series Models, Harvester Wheatsheaf 2. Chatfield C: Analysis of Time Series Teaching Methods: Modes of Study: exam Languages: finnish, english Grading: scale 1 5 or failed Responsible Person: Seppo Hassi Teacher(s): Seppo Hassi Responsible Unit: Department of Mathematics and Statistics Additional Information: STOCHASTICS PROCESSES Stokastiset prosessit Code: STAT3030 Prerequisites: basic studies in mathematics Learning Outcomes: to complete the basic skills in probability theory and introduce to the field of stochastic processes and their applications Content: poisson process, Brownian motion, Markov processes, strong Markov property, Martingales, Markov chain, applications 1. MITRANI, I.: Probabilistics Modelling, Cambridge University Press WILLIAMS, David: Probability with Martingales, Cambrigde Mathematical Textbooks NELSON, R.: Probability, Stochastic Processes and Queuing Theory, Springer Verlag Teaching Methods: 40h lectures + 20h exercises Modes of Study: exam Responsible Person: Tommi Sottinen Teacher(s): Tommi Sottinen Responsible Unit: Department of Mathematics and Statistics Additional Information: OPERATIONS RESEARCH Operaatioanalyysi Code: ORMS1020 Prerequisites: basic studies in mathematics Learning Outcomes: introduction to mathematical modelling of economic and technical phenomena appearing both in scientific study materials and real life Content: 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 lecture and exercise material Teaching Methods: lectures 36 h and exercises 15 h Modes of Study: exercises and midterm exams or exam Languages: finnish/english Grading: scale 1 5 or failed Responsible Person: Tommi Sottinen Teacher(s): Rudi Wietsma Responsible Unit: Department of Mathematics and Statistics Additional Information: registration in advance, lectures held every other year in Finnish and every other year in English, in english ADVANCED OPTIMIZATION Optimoinnin erikoiskurssi Code: MATH2040 Prerequisites: mathematical methods I and II, also recommended linear algebra and operations analysis Learning Outcomes: to deepen concepts of operation analysis and to give examples of some application areas of optimization Content: limited and unlimited non-linear optimization, special issues of LP model, numerical finding of local extreme, examples of some the special methods of optimization (heuristic methods, dynamic optimization etc.) Course lecture material Teaching Methods: lectures 36 h and exercises 14 h Modes of Study: attendance to exercises and exam Languages: finnish/english Grading: accepted or failed, or on scale 1-5 or failed Responsible Person: Tommi Sottinen Teacher(s): Responsible Information: Department of Mathematics and Statistics Additional information: No teaching. Exercise-work. Contact responsible person. Minor Subjet or Complementary Studies (25 ECTS) The students, who have their B.Sc. degree in telecommunications major subject, will do a minor. The students, who have their B.Sc. degree from some other major subject than telecommunications, will do complementary studies. Complementary Studies Following five courses are all mandatory for the students who must do complementary studies: PROBABILITY CALCULUS Todennäköisyyslaskenta Code: MATH2050 Prerequisites: basic studies in mathematics Learning Outcomes: introduction to probability calculation, course gives basic information in probability calculation and an ability to apply them Content: 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 1. Pekka Tuominen: Todennäköisyyslaskenta I, Limes ry, Helsinki (1990) In English: 1. Randolph Nelson: Probability, Stochastic Processes and Queuing Theory: The Mathematics of Computer Performance Modeling 2. P.Hoel, S.Port, C.Stone: Introduction to Probability Theory Teaching Methods: lectures 40 h and exercises 20 h in English Modes of Study: exam Grading: on a scale 1 5 or failed, additional points for exercises Responsible Person: Bernd Pape Teacher(s): Bernd Pape Responsible Unit: Department of Mathematics and Statistics Additional Information: WIRELESS NETWORKS Langattomat verkot Code: TLTE2090 Prerequisites: digital communication and telecommunication electronics Learning Outcomes: the course covers wireless personal, local and wide area networks, as well as ad hoc networks, technology, protocols, performance analysis and network dimensioning Content: lecture notes, presentation and reports Teaching Methods: lectures and exercises 24 h Modes of Study: exam, presentation and report (or exam and homeworks) Grading: scale 1 5 or failed Responsible Person: Tobias Glocker Teacher(s): Tobias Glocker fi/courses/tlte2090 MOBILE COMMUNICATION SERVICES AND SYSTEMS Matkapuhelinjärjestelmät Code: TLTE2010 Prerequisites: telecommunication architectures Learning Outcomes: this course aims to teach the students the principles of mobile communication, mobile sets, 14 15

9 and mobile networks, since the mobile networks are very important sector of telecommunication business, these concepts are crucial for the students in telecommunication engineering, after completing this course successfully, the student will be able to demonstrate the mobile network (for both GSM/UMTS) structure, they will be able to define the relations between the mobile network blocks, moreover, they can make simple mobile network planning Content: the course consists of different topics on mobile communications such as introduction to mobile communication systems, GSM network architecture, handover principles in GSM, GPRS, EGSM, system capacity and network planning, UMTS network architectures, services offered by UMTS, the integration of UMTS and GSM systems, and HSDPA, other different wireless communication topics will be prepared by the students in form of course report, example of those topics are: Bluetooth, Zigbee, LTE, WiMAX, DECT Phones, VoIP, and WiFi 1. J. Eberspächer, H. Vögel, and C. Bettstetter: GSM, Switching, Services, and Protocols 2. H. Holma and A. Toskala: WCDMA for UMTS 3. course handouts 4. different references based on students search Teaching Methods: lectures 24 h, project work (each student prepares and presents one oral presentation on a related topic given by the teacher), quizzes, and final examination Modes of Study: lectures 24 h, project work (each student prepares and presents one oral presentation on a related topic given by the teacher), quizzes and final examination Grading: scale 1 5 or failed Teacher(s): Mohammed Elmusrati fi/courses TELECOMMUNICATION SOFTWARE Tietoliikenneohjelmistot Code: TLTE2040 Prerequisites: c-programming skills, introduction to telecommunication Learning Outcomes: after completing this course the student will be able to develop Graphical User Interface (GUI) applications with Symbian C++ and Java Mobile, the student will learn the skills required for a complete Software Development Process by doing a certain project work, to get high points from the project work the student must be creative by adding additional program features, the student will be able to choose the best development platform for a certain project Content: in the lectures the theoretical parts required for the exercises and project work are presented, to the course contents belong the memory management, development rules for applications, dynamically linked libraries, concurrency, managing resources, Java Mobile applications and security, the contents of the exercises are the development of Java Mobile applications and Android applications lecture slides, course book: Mikkonen, Tommi (2007), programming mobile devices, an introduction for practitioners WILEY Teaching Methods: 12 h lectures and 12 h exercises Modes of Study: lectures, practical exercises, project work and final examination (lectures and exercises) Grading: scale 1 5 or failed, final examination (60%) and project work (40%) Responsible Person: Tobias Glocker Teacher(s): Tobias Glocker fi/courses/tlte2040 TELECOMMUNICATION ELECTRONICS Tietoliikennetekniikan elektroniikka Code: TLTE2050 Prerequisites: basic studies in electronics and telecommunication Learning Outcomes: after completing this course successfully, the student will be able to explain what is the meanings of signals in time and frequency domains, what is modulation and demodulations, what is amplitude and frequency modulations and the difference between them, what is analog and digital modulations and the benefits of each of them, the students will be able also to design simple filters and to demonstrate the concepts of electronic circuits required to build analog and digital communication systems Content: 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 1. course handout 2. W. Tomasi: Electronic Communications Systems, 5th edition, Prentice Hall M. Roden: Analog and Digital Communication Systems, 5th edition, Discovery press 2003 Teaching Methods: 24 h lectures Modes of Study: lectures 24 h, quizzes and final examination Grading: scale 1 5 or failed Teacher(s): Petri Hänninen fi/courses/tlte2050 Minor Subject (25 ECTS) The students, who have their B.Sc. degree in telecommunications major subject, will do a minor. Minor subject can be chosen from any field, but it must be agreed in PSP. Faculty of Technology offers two minor subjects in English: Computer Science and Industrial Management (see It is also possible to take a minor subject from other faculties or other universities as long as it is agreed in PSP. Optional Studies (10 ECTS) The students may choose these optional courses from any study program of the University of Vaasa (or from other universities if agreed in PSP). For Example: TLTE3950 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 credit. One must also write a report about the training. Recommended optional courses KSUO5112 Finnish for Foreigners II 5 ECTS TLTE2100 Computer Architectures 5 ECTS TITE2190 Basics of C-programming 3 ECTS TLTE3120 Computer Simulation in Communication and Systems 5 ECTS Mathematical courses TITE1020 Data Processing 5 ECTS OPIS0026 Information Skills II 1 ECTS Recommended optional courses: KSUO5112 FINNISH FOR FOREIGNERS II (5 ECTS) Learning outcomes: The student can express her/his opinion, arrange for a meeting and write brief texts on a familiar subjects (for example an message). Content: The emphasis is on grammar and language production. Students will improve their practical language skills. Teaching methods: Lectures and exercises 60 hours Requirements: Participation in lectures and exercises. Oral and written exercises in class. A passing grade in group work. A written exam. Literature: Kenttälä, Marjukka (2004): Kieli käyttöön. Suomen kielen alkeisoppikirja. (chapters 10 18, partly chapter 19). Helsinki: Yliopistopaino

10 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. Language of instruction: To be taught in Finnish and English. Academic year Prerequisites: Finnish for foreigners I, or equivalent knowledge of Finnish. Contact person: Language Centre lecturers COMPUTER ARCHITECTURES Tietokoneen arkkitehtuurit Code: TLTE2100 Prerequisites: passing the mandatory exercises and final exam Learning Outcomes: this course aims to teach the skills necessary for understanding the architecture of computers and microcontrollers, after completing this course the student will be able to understand the design principles of modern processors and bus systems, in addition, the student will also learn how to implement programs with assembly programming language, the skills learned in the lectures must be applied in the exercises Content: in the lectures the theoretical parts required for the exercises are presented, to the course contents belong the design principles of modern processors, execution of instructions, RISC vs. CISC, memory, address mode, interrupts, assembly language and peripherals lecture slides and course book (announced in the first lecture) Teaching Methods: lectures 24h and exercises 24h Modes of Study: passing the mandatory exercises and final exam Grading: scale 1 5 or failed Responsible Person: Tobias Glocker Teacher(s): Tobias Glocker Additional Information: annual course. website cs.uwasa. fi/courses/tlte2xxx THE BASICS OF C-PROGRAMMING C-ohjelmointi Code: TITE2190 Credits: 3 ECTS (3 op) Prerequisites: programming or respective course which covers the principles of programming, the course is targeted to students without prior knowledge of C Learning Outcomes: after completing this course the student will be able to develop C programs containing simple data structures, the student will learn how to implement programs according to given or own developed flowchats, also the use of debuggers will be introduced and applied, the skills learned in the lectures and exercises must be applied in the home assignments Content: in the lectures the theoretical parts required for the exercises and homework are presented, to the course contents belong data types, conditions, loops, functions, arrays and pointers, static and dynamic allocation, structures, time handling and file handling, the exercises contain the development of C applications related to the previous mentioned course contents lecture slides, course book: Kerninghan, B.W. & D.M. Ritchie, the C Programming Language, second edition Teaching Methods: lectures 18 h and exercises 18 h Modes of Study: lectures, practical exercises, homework and final examination Languages: language of instruction: english (lectures and exercises); completion language: English (lectures and exercises) Grading: scale 1 5 or failed, final examination and homework Responsible Person: Tobias Glocker Teacher(s): Tobias Glocker Additional Information: autumn (period I), website teg. uwasa.fi/courses/tite2190 COMPUTER SIMULATION IN COMMUNICATION AND SYSTEMS Tietoliikennejärjestelmien simulointi Code: TLTE3120 Prerequisites: the basics courses of mathematics Learning Outcomes: the students will learn how to design and perform simulations by using MATLAB and SI- MULINK by following system engineering practices, other simulation softwares may be visited briefly 1. lecture notes 2. MATLAB documentation, 3. SIMULINK documentation Teaching Methods: lectures 24 h, exercises 24 h, mandatory homeworks Modes of Study: passing the exam, exercises and mandatory homeworks Responsible Person: Reino Virrankoski Teacher(s): Reino Virrankoski fi/courses/tlte3120 TITE1020 DATA PROCESSING (5 ECTS) Website: cs.uwasa.fi/courses/tite1020 Contents: The course consist of two parts: Data Processing Theory (TITE.1021, 2 ECTS) and Using Computers (TITE.1022, 3 ECTS) Where students explore the data technology needed in working life and in studies. Requirements: passing both parts/exams of the two course Grading: Scale 1 5 or failed Theory course forms 50 % of the grade and Using Computers course forms 50 % of the grade Teacher: Hannu K. Niinimäki Organizing Unit: Department of Computer Science. INFORMATION SKILLS II OPIS0026, 1 ECTS Learning outcomes: Students are able to retrieve scholarly information from international databases using advanced search techniques and to evaluate search results critically. Content: Systematic information seeking, construction of search strategies using advanced search techniques, knowledge of subject specific resources and reference techniques in the student s own discipline, critical evaluation of information sources. Teaching methods: Obligatory lecture 2 h, online training Assessment: Online assignments and a multiple choice exam Language: English Literature: Online course material Prerequisites: OPIS0025 Information Skills 1 Time: The course is simultaneous to Research Seminar or Research Methodologies course Contact person: Librarian Raija Löytölä Major Studies (60 ECTS) Mandatory Courses (27 ECTS) DIGITAL COMMUNICATION Digitaalinen tiedonsiirto Code: TLTE3010 Prerequisites: telecommunication electronics is recommended Learning Outcomes: this course aims to teach different theoretical topics span the digital communication technology, digital communication is the backbone of todays telecommunication technologies, therefore this course provided the main topics and information to understand the modern communication systems, after completing this course successfully, the student will be able to explain the main concepts of digital communication transmitters and receivers, moreover, the students will be able to demonstrate the main blocks of digital communication receivers/transmitters, furthermore, they will be able to evaluate the performance of digital communication system and also to compute the link budget 18 19

11 Content: this course covers source coding, sampling theorem, digital modulation and demodulation, error performance analysis, equalizers, channels and link budget analysis, coding and decoding methods, multiplexing techniques, diversity techniques, and information theory 1. B. Sklar: Digital Communication, 2nd Edition, Prentice Hall, J. Proakis and M.Salehi, Digital Communication, Mc- Graw-Hill, lecture notes Teaching Methods: lectures 28 h and exercises 10 h Modes of Study: quizzes, homework, and report Teacher(s): Mohammed Elmusrati fi/courses/tlte3010 ADVANCED COURSE IN SIGNALS AND SYSTEMS Signaalit ja systeemit Code: TLTE3150 Prerequisites: digital signal processing Learning Outcomes: improving mathematical skills of the students and introducing new mathematical tools for systems analysis Content: 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 1. S. Karris: Signals and Systems with MATLAB Computing and Simulink Modeling, Orchard Publications; 3rd edition, 2006 or later 2. B. Girod, R Rabenstein, and A. Stenger: Signals and Systems, John Wiley, lecture notes Teaching Methods: lectures and exercises 28 h Modes of Study: exam and homeworks Responsible Person: Reino Virrankoski Teacher(s): Reino Virrankoski fi/courses/tlte3150 RADIO RESOURCE MANAGEMENT Radioresurssien hallinta Code: TLTE3050 Prerequisites: digital communication Learning Outcomes: this course aims to cover the main concepts of radio resource scheduling and management as well as its applications to current and future wireless communication networks, after completing this course successfully, the student will be able to explain what are the radio resources and the relations between them, moreover, the student will be able to compute the optimum transmission power and data rate in multi-user wireless networks, the students will be able also to explain the antennas beamforming and the optimum procedures for admission control Content: this course covers, multiple access fundamentals, mobile channel modeling, CDMA systems, performance measure, handover and mobility, power and rate control, dynamic channel allocation, and high-speed packet scheduling techniques 1. H. Koivo and M. Elmusrati, Systems Engineering in Wireless Communication, Wiley J. Zander and S. Kim: Radio Resource Management for Wireless Networks, Artech House lecture notes Teaching Methods: 24 h lectures + 10 h exercises Modes of Study: quizzes, and exam Teacher(s): Mohammed Elmusrati fi/courses/tlte3050 TELECOMMUNICATION ARCHITECTURES Tietoliikennearkkitehtuurit Code: TLTE3160 Prerequisites: basic course in probability, introduction to signals and systems, and introduction to telecommunication Learning Outcomes: 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 Content: 1. lecture notes 2. W. Stallings: Data and Computer Communications, Prentice Hall, 8th edition, A. S. Tanebaum: Computer Networks, 4th ed., Prentice Hall, 2004 Teaching Methods: lectures 24 h and exercises 12 h Modes of Study: exam and homeworks Responsible Person: Reino Virrankoski Teacher(s): Reino Virrankoski Additional Information: annual available course, website cs.uwasa.fi/courses/tlte3160 EMBEDDED C-PROGRAMMING Sulautettu C-ohjelmointi Code: TLTE3130 Credits: 2 ECTS (2 op) Prerequisites: the basics of c-programming Learning Outcomes: this course aims to teach the skills necessary to design and program applications for microcontrollers, after completing this course the student will be able to develop C applications for microcontrollers, besides the programming part, the student will learn the architecture of microcontrollers and the basics of electronic circuits, the student must apply the learned skills in the exercises, to deepen the knowledge each student has to write an exercises report that contains the explanations of the solved exercise tasks Content: in the lectures the theoretical parts required for the exercises and project work are presented, to the course contents belong I/O ports, delays, interrupts, timer, Pulse Width Modulation, Analog to Digital Converter, Universal Asynchronous Receiver/Transmitter and Serial Peripheral Interface, the exercises contain the development of Embedded C applications related to the previous mentioned course contents Modes of Study: practical exercises and final exam lecture slides, datasheets of ATMEL ATmega8515 and ATMEL ATmega16 Teaching Methods: lectures, practical exercises and final exam Teacher(s): Tobias Glocker fi/courses/tlte3130 Optional major courses, choose enough to reach a total of 40 ECTS: BROADBAND WIRELESS COMMUNICATION Laajakaistatekniikat Code: TLTE3030 Prerequisites: digital communication Learning Outcomes: this course aims to teach the major theoretical background behind modern wireless high rate networks, there are different broadband wireless network standards such as LTE, WiMAX, IEEE n, etc., however, the major background to achieve high data rate in a limited bandwidth is common between all standards, after completing this course successfully, the student will be able to explain the main challenges to achieve high data 20 21

12 rate in wireless networks, moreover, s/he will be able to demonstrate different techniques to overcome the challenges such as using MIMO, coding, diversity, beamforming, and OFDM, furthermore, they will be able to classify between the different standards Content: this course covers wireless channels, efficient digital modulation methods, channel coding, MIMO concepts and methods, Diversity, beamforming, broadband systems: UltrawideBand, LTE, WiMAX, and IEEE n 1. D. Tse and P. Viswanath, Fundamentals of Wireless Communication, Cambridge Univ. Press, A. Goldsmith, Wireless Communication, Cambridge Univ. Press, lecture notes Teaching Methods: 24 h lectures + 10 h exercises Modes of Study: quizzes, presentation and report Teacher(s): Mohammed Elmusrati Additional Information: every second year, website cs.uwasa.fi/courses/ tlte3030 SPECIAL TOPICS IN TELECOMMUNICATIONS Tietoliikennetekniikan erityiskysymyksiä Code: TLTE3070 Credits: 1 8 ECTS Prerequisites: depend on particular topic Learning Outcomes: telecommunication engineering and its applications is one of the fastest growing fields in the applied science, hence, the aim of this course is to introduce new topics and subjects to track new fields, the main goal is to introduce new topics and quickly react to the needs of evolving modern telecommunications technology, participants should learn a topical subject or deepen their insight in a theoretical question Content: this course has changing content, the current content is always indicated by the course subtitle presented in the course website 1. depend on the topic Teaching Methods: depend on the topic, it can be organized as normal lectures or reading books/papers or both Modes of Study: varying and depend on the topic, or passed/failed (depending on the topic) Teacher(s): Mohammed Elmusrati fi/courses/tlte3070 PROJECT WORK IN TELECOMMUNICATION Tietoliikennetekniikan projektityö Code: TLTE3080 Credits: 3 15 ECTS (3 15 op) Prerequisites: related subject studies on telecommunications Learning Outcomes: telecommunication engineering and its applications consists of too many and vast different topics, the aim of this course is to give the students the chance to study and perform small projects related to some interested topics in telecommunications, the student learns to study/handle real life scientific problems, the topic of the project work must be decided with the agreement with the supervisor. In general, suitable topics can be suggested from network design, dimensioning, performance analysis, electronics, service concepts and hardware/software design, discussions solving a small research problem as well as literature surveys are also possible project work topics Content: this course has changing content, the current content is always indicated by the course subtitle presented in the course website Study materials: depend on the topic Teaching Methods: depend on the topic Modes of Study: varying and depend on the topic, or passed/failed (depends on the topic) Teacher(s): Mohammed Elmusrati fi/courses/tlte3080 TELECOMMUNICATIONS SEMINAR Tietoliikennetekniikan seminaari Code: TLTE3090 Credits: 3 10 ECTS (3 10 op) Prerequisites: related subject studies on telecommunication engineering Learning Outcomes: the aim of this course is to introduce research oriented topics in telecommunications and systems, after completing this course successfully, the student will be able to seek scientific information and to prepare and give seminar presentations, moreover, they will be able to demonstrate the principles of the seminar topic Content: this course has varying contents, the current content is always indicated by the course subtitle presented in the course website 1. depend on the topic Teaching Methods: depending on the topic Modes of Study: attending seminar sessions, quizzes, preparing scientific report and giving at least one presentation, or passed/failed (depends on the topic) and Reino Virrankoski Teacher(s): Mohammed Elmusrati, Reino Virrankoski fi/courses/tlte3090 EMBEDDED NETWORK DEVICES Tietoliikenteen sulautetut järjestelmät Code: TLTE3100 Prerequisites: computer architecture, C/C++ programming, wireless networks and embedded systems Learning Outcomes: 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 includes mandatory laboratory exercises to learn the protocol implementation and debugging in practice Content: lecture notes Teaching Methods: lectures 18 h, laboratory exercises 28 h Modes of Study: exam, laboratory exercises and homework project Responsible Person: Reino Virrankoski Teacher(s): Reino Virrankoski fi/courses/tlte3100 TELETRAFFIC THEORY Tietoliikenneteoria Code: TLTE3040 Prerequisites: telecommunication architectures and basic course in probability Learning Outcomes: 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 Content: this course covers revision for probability theory, time interval modeling, Erlang loss systems, Dimensioning of telecommunication networks, Markovian process, Queuing networks, and performance measurements and simulation 1. lecture notes 2. Villy B. Ivarsen, Teletraffic Engineering Handbook, 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 Modes of Study: exam and homeworks 22 23

13 Teacher(s): Additional Information: every second year, website cs.uwasa.fi/courses/tlte3040 INTRODUCTION TO RADIO TECHNOLOGY Radiotekniikka Code: TLTE3060 Prerequisites: physics and telecommunication electronics Learning Outcomes: this course aims to cover the concepts of RF electronic components, transmission lines, and circuits at high frequencies, after completing this course successfully, the student will be able to model several electronic components at very high frequencies, moreover, they will be able to explain the theoretical concepts of electromagnetic propagation, antennas, microwave equipment, and RF amplifiers, the student will be able to analysis transmission lines at high frequencies using Smith Charts as well as matching techniques Content: this course covers, introduction to electromagnetic and Maxwell s equations, antennas and propagation, passive RF component modeling, transmission line analysis, Smith chart, matching techniques, single and multiport network analysis, waveguides, active RF components, RF amplifiers and microwave equipment 1. lecture notes 2. C. Coleman: Radio Frequency Engineering, Cambridge J. Edminister: Electromagnetics, 2nd edition, Mc- Graw-Hill, R. Ludwig and P. Bretchko: RF Circuit Design, Theory and Applications, Prentice Hall, 2000 Teaching Methods: lectures 24 h, quizzes and exam Modes of Study: lectures 24 h, quizzes and exam Teacher(s): Additional Information: every second year, website cs.uwasa.fi/courses/tlte3060 CRYPTOGRAPHY Salausmenetelmät Code: TITE3140 Recommended time of completion: spring term Prerequisites: information security Learning Outcomes: Content: basic methods of cryptography, progress of cryptography, modern public-key encryption, and authentication Stallings (2006), Cryptography and Network Security, Prentice Hall Teaching Methods: no teaching in english, self study Modes of Study: exam, exercises and project work Languages: finnish and english Grading: 1 5/failed Responsible Person: Merja Wanne Teacher(s): Merja Wanne Additional Information: In English: students are required to register for the course beforehand to KILMO (kilmo. uwasa.fi) COMPUTER SIMULATION IN COMMUNICATION AND SYSTEMS Tietoliikennejärjestelmien simulointi Code: TLTE3120 Prerequisites: the basics courses of mathematics Learning Outcomes: the students will learn how to design and perform simulations by using MATLAB and SI- MULINK by following system engineering practices, other simulation softwares may be visited briefly 1. lecture notes 2. MATLAB documentation, 3. SIMULINK documentation Teaching Methods: lectures 24 h, exercises 24 h, mandatory homeworks Modes of Study: passing the exam, exercises and man- datory homeworks Responsible Person: Reino Virrankoski Teacher(s): Reino Virrankoski fi/courses/tlte3120 Master s Thesis and Maturity Test (30 ECTS): MASTER S THESIS Diplomityö Code: TLTE3990 Credits: 30 ECTS Recommended time of completion: available in the beginning of each term Learning Outcomes: the master s thesis is a required to show that the student can do independent scientific work, the goal of the thesis work is to teach students how to make independent research and report writing, master s thesis must be written according to the master s thesis instructions and writing instructions provided by the faculty Content: at the beginning of the thesis work, a student must prepare and present a plan about his thesis content and it must be agreed jointly with the 1. books/reports/papers related to the thesis topic see also chapter Graduation and thesis in this handbook for further details related to Master s Thesis and Maturity test Teaching Methods: must be agreed with supervisor Modes of Study: during the work, the progress must be reported in the reports prepared to present in the thesis seminar Languages: both english and finnish are available Grading: 1 5 or rejected and Reino Virrankoski Teacher(s): Mohammed Elmusrati, Reino Virrankoski Responsible Unit: Computer Science Additional Information: contact telecommunications faculty staff See also chapter Graduation and thesis in this handbook for further details related to Master s Thesis and Maturity test. Course Schedule Autumn 2013 TLTE2100 Computer Architectures (5 ECTS) TITE2190 The Basics of C Programming (3 ECTS) TLTE2010 Mobile Communication Services and Systems (5 ECTS) TLTE2050 Telecommunication Electronics (5 ECTS) TLTE3010 Digital Communication (5 ECTS) TLTE3120 Computer Simulation in Communication and Systems (5 ECTS) TLTE3150 Advanced Course in Signals and Systems (5 ECTS) Spring 2014 TLTE3130 Embedded C Programming (2 ECTS) TLTE2040 Telecommunication Software (5 ECTS) TLTE2090 Wireless Networks (5 ECTS) TLTE3050 Radio Resource Management (5 ECTS) TLTE3060 Introduction to Radio Technology (5 ECTS) TLTE3090 Telecommunications Seminar (3 10 ECTS) TLTE3160 Telecommunication Architectures (5 ECTS) TLTE3100 Embedded Network Devices (5 ECTS) 24 25

14 Autumn 2014 TLTE2100 Computer Architectures (5 ECTS) TITE2190 The Basics of C Programming (3 ECTS) TLTE2010 Mobile Communication Services and Systems (5 ECTS) TLTE2050 Telecommunication Electronics (5 ECTS) TLTE3040 Teletraffic Theory 5 (ECTS) TLTE3120 Computer Simulation in Communication and Systems (5 ECTS) TLTE3150 Advanced Course in Signals and Systems (5 ECTS) Spring 2015 TLTE3130 Embedded C Programming (2 ECTS) TLTE2040 Telecommunication Software (5 ECTS) TLTE2090 Wireless Networks (5 ECTS) TLTE3010 Digital Communication (5 ECTS) TLTE3030 Broadband Wireless Communication 5 ECTS TLTE3050 Radio Resource Management (5 ECTS) TLTE3160 Telecommunication Architectures (5 ECTS) TLTE3100 Embedded Network Devices (5 ECTS) 26 27

15 University of Vaasa Wolffintie 34, P.O. Box 700 FI Vaasa, Finland Tel uva.fi/en facebook.com/vaasanyliopisto youtube.com/universityofvaasa twitter.com/univaasa

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