Implementations in academic year 2019 - 2020

•   Basics of Web Development 5G00DM03-3002 06.01.2020-03.05.2020  5 cr  (19I260E) +-
  Learning outcomes of the course unit

  The student understands the main parts of web applications. The student is able to create small web applications with full-stack application elements. The student is able to create a small IoT system monitoring application.

  Course contents

  Frontend Programming with Javascript, Backend Programming with Node and data repository e.g. MySQL. Storing data from ICT devices.

  Assessment criteria

  Satisfactory

  Student knows basics of frontend programming with JavaScript. Student can use backend to get data to the frontend with guidance. Student knows basics of backend programming with Node and is able to use data repository e.g. MySQL as the data storage for the backend. Student can store data from ICT device to the data storage with guidance.

  Good

  Student knows and is able to implement frontend Programming with JavaScript. Student can use backend to get data to the frontend. Student knows and is able to implement backend programming with Node and is able to exploit data repository e.g. MySQL as the data storage for the backend. Student can store data from ICT device to the data storage.

  Excellent

  Student knows and is able to diversely implement frontend Programming with JavaScript. Student can independently use backend to get data to the frontend. Student knows and is able to diversely implement backend programming with Node and is able to exploit data repository e.g. MySQL diversely as the data storage for the backend. Student can store independently data from various ICT devices to the data storage.

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  Name of lecturer(s)

  Pekka Pöyry

  Language of instruction

  English

  Timing

  06.01.2020 - 03.05.2020

  Registration

  25.11.2019 - 31.01.2020

  Credits

  5 cr

  Group(s)

  19I260E

  Seats

  0 - 40

  Teacher(s)

  Esa Parkkila, Pekka Pöyry

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Data Systems and Analysis 5G00DM01-3001 02.09.2019-20.12.2019  5 cr  (18I260E) +-
  Learning outcomes of the course unit

  The student learns basic concepts, ideas and principles concerning database systems including big data systems. The student is able to install, configure and run a database system and to design and implement data content to it and handle it with SQL language. General big data system concepts are handled; the aim is that the student can install, configure and run a big data system and handle it’s data. Some of the most popular big data technologies are learned.

  Course contents

  Course content is:
  - General ideas of a database system,
  - Data modelling and design techniques,
  - Relational model, data handling with SQL language,
  - Database programming,
  - NoSQL databases
  - General ideas of a big data system
  - MapReduce concepts, systems build on it, data manipulation in big data systems

  Assessment criteria

  Satisfactory

  Student knows database system concepts and ideas and recognises them in real running systems. The student is able to do modest maintenance works for existing database systems and participate partly in the design of new database systems.

  Good

  Student understands database system concepts and ideas and can justify their existence in real running systems. The student is able to maintain existing database system structures and design of new database system parts.

  Excellent

  Student knows and understands in depth database system concepts and ideas and is familiar with their existence in real running systems. The student is able to create new database system structures and make new designs in all areas of the database systems.

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  Name of lecturer(s)

  Pekka Pöyry

  Recommended or required reading

  Elmasri & Navathe: Fundamentals of Database Systems. 7h edition. 2017 Pearson Global Edition.
  
  Kroenke & Auer: Database Processing Fundamentals, Design, and Implementation. 14th edition. 2016 Pearson Global Edition.

  Planned learning activities and teaching methods

  Theory lectures, exercises and lab works.

  Assessment methods and criteria

  Bases on exercise / lab works activity. Grading:
  
  Activity below 20 % => grade = 0
  Activity between 20 % and 35 % => grade = 1
  Activity between 35 % and 50 % => grade = 2
  Activity between 50 % and 65 % => grade = 3
  Activity between 65 % and 80 % => grade = 4
  Activity above 80 % => grade = 5

  Language of instruction

  Finnish

  Timing

  02.09.2019 - 20.12.2019

  Registration

  03.06.2019 - 06.09.2019

  Credits

  5 cr

  Group(s)

  18I260E

  Teacher(s)

  Erkki Hietalahti

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

  Completion alternatives

  -

  Training and labour cooperation

  -

  Exam schedule

  -

  International connections

  -

  Students use of time and load

  Lecturing: 3 hours per week approximately 13 times.
  
  You should reserve approximately 135 hours time to all works in this course (5 points times 27 hours per point).

  Content periodicity

  1. General database related topics
  2. ER-modeling
  3. SQL
  4. Programming with databases
  5. NoSQL databases
  6. Big data systems

  Assessment criteria

  Satisfactory

  A satisfactory understanding of the concepts and things taught in the course. Can apply them with help.

  Good

  A good understanding of the concepts and things taught in the course. Can apply them independently.

  Excellent

  An excellent understanding of the concepts and things taught in the course. Can apply them independently. Can discover new things in the area and learn them individually. Can apply the skills in new ways combining different areas of ICT systems.

  Approved/Failed

  Doesn't know the basic concepts handled in this course and cannot apply them.

•   Electromagnetism, Waves and Atomic Physics 5N00DJ64-3001 26.08.2019-22.12.2019  5 cr  (18I260E) +-
  Learning outcomes of the course unit

  After completing this course student:
  - Has developed his/her technological and scientific way of thinking.
  - knows the scientific analysis of phenomena
  - knows how to describe electromagnetic, oscillation, wave and atomic phenomena with physical quantities
  - knows how the electric and magnetic fields are generated and how these fields are used in applications.
  - knows how electromagnetic and mechanical waves are generated, how they propagate and where they are used.
  - is able to give justifiable solutions to related problems.

  Course contents

  Contents:
  - electric and magnetic fields, electric circuits and different electronic components
  - electric and magnetic properties of matter
  - electromagnetic induction
  - principles of electric sensors
  - Electromagnetic waves, mechanical oscillation, wave propagation, sounds.
  - quantization, interaction of photons and matter, atomic energy levels

  Assessment criteria

  Satisfactory

  Knowledge of the most essential phenomena and related quantities and units regarding to course topics. Capability to analyse qualitatively and quantitatively simple cases related phenomena similar to discussed examples.

  Good

  In addition, capability to apply the principles to new situations. Fluent usage of the terminology and models in presentations of justified qualitative and quantitative analyses of phenomena.

  Excellent

  In addition, versatile ability to analyse phenomena qualitatively and quantitatively realizing the limitations related to theories in use.

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  Name of lecturer(s)

  Sami Suhonen

  Recommended or required reading

  The detailed schedule and teaching material are available in TABULA
  1. Physics for Scientists and Engineers: A Strategic Approach with Modern Physics and MasteringPhysics™: International Edition, 3rd/E or later
  Randall D. Knight, California Polytechnic State University-San Luis Obispo
  2.Harris Benson, University Physics
  or Young&Freedman, University Physics
  3. Technical Formulas, Tammertekniikka, 2002 or later
  4. This plan, the detailed schedule and other material is available in TABULA

  Planned learning activities and teaching methods

  contact teaching
  demonstrations|exercises
  exam|series of lectures
  net learning
  cooperative learning

  Assessment methods and criteria

  - Examination contains two mid-exams , each max 30 points/mid-exam, passing level is 6p/mid-exam, total points are 30 p + 30 p = 60 p
  - Exercise sets, max 30 points, passing level is 6p.
  - The sum of total points consist of two mid-exams and exercise sets (30 p+30 p + 30 p = 90 p)
  - During the lectures it is possible get extra activity points from specials tasks completed by the small group. This kind of tasks will be organized randomly during normal lectures.
  - In addition to that a special work, sound measurements in the class room will be organized. The participation and reporting (in pairs) of the work is mandatory.
  Grading:
  - For the grade 1 the sum of the exam and exercise points has to be at least about 40% of the maximum points i.e 0,40*90 p = 36 p.
  - The grade 5 could be achieved approximately by 90% of maximum points i.e. 81 p
  Participation to class lectures is highly recommended
  Participation to exams , exercise review and class laboratory(Sound measurements) is compulsory
  Absence in the review classes of exercise sets will affect the points ( see above).

  Language of instruction

  English

  Timing

  26.08.2019 - 22.12.2019

  Registration

  03.06.2019 - 15.09.2019

  Credits

  5 cr

  Group(s)

  18I260E

  Teacher(s)

  Jarmo Lilja

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

  Completion alternatives

  No

  Training and labour cooperation

  No

  Exam schedule

  Will be informed in the beginning of the course

  International connections

  No

  Students use of time and load

  Lectures, exercises, demonstation, class laboratories and feedback about 60 h
  Independent study about 60 h

  Content periodicity

  Presentation of course plan and Introduction
  Overwiew of electricity, magnetism and electromagnetism
  Electrostatics
  The electric field
  Electric potential
  Capacitors and dielectrics
  Electrical current and resistance
  Magnetic field
  Sources of magnetic field
  Electromagnetic induction
  Lenz' Law
  Transformers
  AC power production
  Overwiew of oscillations and waves
  Harmonic oscillation and resonance
  Mechanical waves
  Sound and intensity level
  Sound measurements (class laboratory work)
  Electromagnetic waves
  Quantization
  Thermal radiation
  Absorption, emission, laser, x-rays

  Assessment criteria

  Satisfactory

  Knowledge of the most essential phenomena and related quantities and units regarding to course topics. Capability to analyse qualitatively and quantitatively simple cases related phenomena similar with discussed examples

  Good

  In addition, capability to apply the principles to new situations. Fluent usage of the terminology and models in presentations of justified qualitative and quantitative analyses of phenomena.

  Excellent

  In addition, versatile ability to analyse phenomena qualitatively and quantitatively realizing the limitations related to theories in use.

•   Embedded Projects 1 5G00DL93-3001 02.09.2019-13.12.2019  5 cr  (18I260E) +-
  Learning outcomes of the course unit

  After completing the course student is able to implement microcontroller systems that are connected to real-life IO interfaces. This part focuses on the data acquisition side such as sensors, microcontroller, etc.

  Prerequisites and co-requisites

  Basics of Programming

  Course contents

  Advanced C and C++ microcontroller programming. CPU peripherals, interfaces (I2C, Spi, Uart). Connecting to real life IO (LCD, keyboard, sensors, actuators).

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  Name of lecturer(s)

  Esa Kunnari

  Recommended or required reading

  Links to different e-amaterial in Tabula.
  Google search for daily topics
  Books to read:
  https://www.newbiehack.com/MicrocontrollerTutorial.aspx
  https://www.renesas.com/en-us/support/technical-resources/engineer-school/mcu-01-basic-structure-operation.html

  Planned learning activities and teaching methods

  briefing lectures
  exercies
  programming exercies by teams

  Assessment methods and criteria

  Course will be evaluated by base of weekly exercises.
  Students will get points by doing weekly exercises.
  Weekly exercise points are defined in Tabula.
  Below table give equation to exercise points to course grade.
  Points = grade
  0-35 = 0
  36-48 = 1
  49-61 = 2
  62-74 = 3
  75-87 = 4
  88-100 = 5

  Language of instruction

  English

  Timing

  02.09.2019 - 13.12.2019

  Registration

  03.06.2019 - 17.09.2019

  Credits

  5 cr

  Group(s)

  18I260E

  Teacher(s)

  Kari Naakka

  Further information for students

  Course Tabula name:
  2019_Embedded_projetcs_1

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

  Completion alternatives

  No

  Training and labour cooperation

  N/A

  Exam schedule

  Course will be evaluated by base of weekly exercises.

  International connections

  N/A

  Students use of time and load

  Clasroom, lab, teamwork, individual work
  Total size 135h
  Contact teaching 50h
  students indepenenet own work 85h

  Content periodicity

  Advanced C and C++ microcontroller programming.
  CPU peripherals (binary IO, timers, int serivice, etc,
  interfaces (I2C, Spi, Uart).
  Connecting to real life IO (LCD, keyboard, joystic, sensors, motors).
  1. Arduino exercies (Mega + IO)
  2. WLAN module exercies (ESP8266)
  3. Embedded linux env. (Raspberry)

  Assessment criteria

  Satisfactory

  Student can use SDK and other design environments.
  Weekly exercies does't contain major failings and are demonsrated on agreed time.
  Student is capable to teamworking.

  Good

  Student can apply the contest of course and usage of SDK systems. Exercies are done according the given instructions and demonstrated according course time schedule.
  Student is capable to use SDK systems and other development systems.
  Student is good teaworker.

  Excellent

  Student is self-governing and can apply wide area of course content.
  Student has shown deep understanding managing of course content.
  Reports are according intsructions and returned at agreed time.
  Student can utilize SDK and other design tools with efficient way.
  Student can debug and fix HW/SW errors. Student is proactive teamworker.

  Approved/Failed

  Weekly exercises does not fulfill minimum requirements (more detais in Tabula).
  Student has not shown his/her capability for weekly subject.

•   Embedded Projects 2 5G00DM70-3001 06.01.2020-03.05.2020  5 cr  (18I260E) +-
  Learning outcomes of the course unit

  After completing the course student is able to implement microcontroller systems that are connected to real-life IO interfaces. This part concentrates on high level IOT- protocols such as MQTT and rest-API.

  Course contents

  Connecting to real life IO (LCD, keyboard, sensors, actuators). IoT protocol programming C++/Python, MQTT, rest-API.

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  Name of lecturer(s)

  Kari Naakka

  Language of instruction

  English

  Timing

  06.01.2020 - 03.05.2020

  Registration

  25.11.2019 - 10.01.2020

  Credits

  5 cr

  Group(s)

  18I260E

  Teacher(s)

  Kari Naakka

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Embedded Systems 5G00DL92-3002 06.01.2020-03.05.2020  10 cr  (19I260E) +-
  Learning outcomes of the course unit

  After completing the course, student is able to create data transfer from sensors to cloud and vice versa. Student is able to implement an intelligent IoT system combining hardware and software together. Student is aware of IoT architecture from beging to end.

  Course contents

  Introduction to electronics, A/D- conversion, sensor technologies, broker functionality, IoT- protocols, basics of C and C++ microcontroller programming with IoT interfaces

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  Name of lecturer(s)

  Kari Naakka

  Language of instruction

  English

  Timing

  06.01.2020 - 03.05.2020

  Registration

  25.11.2019 - 10.01.2020

  Credits

  10 cr

  Group(s)

  19I260E

  Seats

  0 - 40

  Teacher(s)

  Esa Kunnari, Kari Naakka

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   English for ICT Engineering Students 5N00DL87-3002 29.08.2019-22.12.2019  3 cr  (19I260E) +-
  Learning outcomes of the course unit

  After completing the course, students
  - know how to act in working life communication situations (e.g. presentations and meetings)
  - know the most important vocabulary of software engineering
  - can write job application documents and take part in a job interview
  - know the basic business terminology and can give a presentation of a chosen company

  Course contents

  - Working life communication situations
  - Business life English
  - Job applications
  - Terminology of ICT and Software Engineering
  - Meetings and negotiations
  - Grammar as required

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  Name of lecturer(s)

  Hanna Kinnari-Korpela

  Recommended or required reading

  All learning material will be distributed during the course in physical or digital form, depending on the purpose.

  Planned learning activities and teaching methods

  Contact lessons, distance learning, individual and shared assignments, written and oral tasks.

  Assessment methods and criteria

  The course grade will be determined by how succesfully each course assignment is completed. The criteria for each assignment will be discussed in detail during the course. Class attendance and completion of tasks to deadlines also affect the overall score.
  For successful completion of the course, the following minimum criteria must be met:
  - all course assignments are completed succesfully - late submission of documents will affect the grade negatively
  - regular course attendance (below 80% decreases grade, 50% or less = no grade can be given)

  Language of instruction

  English

  Timing

  29.08.2019 - 22.12.2019

  Registration

  03.06.2019 - 30.09.2019

  Credits

  3 cr

  Group(s)

  19I260E

  Seats

  0 - 30

  Teacher(s)

  Petri Tuohimäki

  Further information for students

  Details of the course programme will be discussed in the first class meeting on 29 August. The programme will also be made available in the digital course platform Tabula.

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Virtual proportion

  1 cr

  Evaluation scale

  0-5

  Completion alternatives

  Information on accreditation available at http://languageservices.blogs.tamk.fi/en/kielten-opiskelu-tamkissa/hyvaksiluvut/

  Exam schedule

  The course will conclude with a mini-seminar which includes a written exam. The preliminary date is 9 December.

  Students use of time and load

  3 * 27 hours (equivalent of 3 ECTS credits).

  Assessment criteria
•   Finnish 1 5N00DL88-3002 01.09.2019-20.10.2019  2 cr  (19I260E) +-
  Learning outcomes of the course unit

  After successful completion of the course students will be able to pronounce Finnish quite clearly. They understand and use short phrases, are able to introduce oneselves and tell basic facts about themselves and as well as ask the same from the others. They know numbers, seasons, months, weekdays and times. About these matters they also understand short simple discussions and texts.

  Course contents

  - basics of the Finnish language: vowel harmony, personal endings, negative sentence, question sentence, genetive
  - structural exercises
  - pronunciation exercises
  - vocabulary exercises
  - conversational and drama exercises
  - listening comprehension exercises
  - reading comprehension exercises
  - written exercises.

  Assessment criteria

  Satisfactory

  Students have been able to complete all the assignments acceptably. They can greet quite well and tell a couple of basic things about themselves, name some studied matters and copy learned words. However, it is hard for them to change simple phrases or put together a proper sentence. Their pronunciation causes difficulties to understand meanings of produced speech.

  Good

  Students have an active attitude towards studying Finnish language showing that by completing course tasks according to the schedule. They are able to change phrases and understand the connection between letters and speech sounds quite well. They are able to pronounce Finnish quite understandably

  Excellent

  Students have a positive and active attitude towards learning language. They can pronounce Finnish distinctively and use suitable and varied ways of learned expressions remembering use grammar mostly correct way. They put together sentences very well and recombine words and phrases into new sentences.

  Approved/Failed

  Failed: Students have attended contact lessons less than 80%. They have not completed course assignments because of lack of or activity or gained skills. They don’t speak and write and also understand Finnish more than a couple of words

  Further information

  The course is for students whose mother language is not Finnish

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  Name of lecturer(s)

  Hanna Kinnari-Korpela

  Recommended or required reading

  Materials made or selected by the teacher - loaded or linked on course-Tabula.

  Planned learning activities and teaching methods

  contact teaching, study conversation, oral and written exercises, dictations, cooperative learning, e-learning, exam

  Assessment methods and criteria

  journal 1/3, oral test 1/3, written test 1/3

  Language of instruction

  Finnish

  Timing

  01.09.2019 - 20.10.2019

  Registration

  03.06.2019 - 18.09.2019

  Credits

  2 cr

  Group(s)

  19I260E

  Teacher(s)

  Marja Oksanen

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

  Completion alternatives

  No.

  Training and labour cooperation

  No.

  Exam schedule

  On Tuesday 22.10. 15.00 - 17.00
  Retake on Tuesday 29.10. 15.00 - 17.00

  International connections

  The whole group is international!

  Students use of time and load

  21 contact lessons during the first period. Also quite much independent work is needed to make it possible to learn the basics properly! For the most of us learning a new language demands hard work and time! 2 ECTs course means 2 x 27 hours (54 hours) work! To build up one's motivation is very important: to find useful, fun and creative ways to learn, use and understand Finnish. So have Finnish as a hobby also in your free time!

  Content periodicity

  pronunciation, basic phrases, numbers, times, days of the week, months, conjugation: positive and negative, asking questions, basic every day vocabulary

  Assessment criteria

  Satisfactory

  Students have been able to complete all the assignments acceptably. They can greet quite well and tell a couple of basic things about themselves, name some studied matters and copy learned words. However, it is hard for them to change simple phrases or put together a proper sentence. Their
  pronunciation causes difficulties to understand meanings of produced speech.

  Good

  Students have an active attitude towards studying Finnish language showing that by completing course tasks according to the schedule. They are able to change phrases and understand the connection between letters and speech sounds quite well. They are able to pronounce Finnish quite
  understandably.

  Excellent

  Students have a positive and active attitude towards learning language. They can pronounce Finnish distinctively and use suitable and varied ways of learned expressions remembering use grammar mostly correct way. They put together sentences very well and recombine words and phrases into
  new sentences.

  Approved/Failed

  No continuous journal work, uncompleted exercises, big difficulties to understand and produce the simplest basic phrases and expressions. More than 20 % absences from the contact lessons.

•   Finnish for Foreigners 2 5N00DL89-3002 13.01.2020-12.02.2020  2 cr  (19I260E) +-
  Learning outcomes of the course unit

  After successful completion of the course students will be able to pronounce Finnish quite correctly, understand and use short and simply-structured Finnish expressions that concern some of the most common matters and situations related to everyday life (telling one’s family, telling the time, buying and paying, timetables, food and menu, working and studying). They can shortly discuss about these matters and understand short texts concerning such topics. After this course they are willing to study more Finnish, because they understand that only that way they can achieve a level of language skills that makes possible to get job in Finland.

  Prerequisites and co-requisites

  Finnish for Foreigners 1

  Course contents

  - basics of the Finnish language: verb types. partitive case, local cases, k-p-t-changes
  - structural exercises
  - pronunciation exercises
  - vocabulary exercises
  - conversational and drama exercises
  - listening comprehension exercises
  - reading comprehension exercises
  - written exercises.

  Assessment criteria

  Satisfactory

  Students have been able to complete all the assignments acceptably. They can exchange greetings/farewells, introduce oneself, name a few objects and copy some words that they have learned. It is hard for them to attend a simple conversation or create a short text. Their pronunciation causes difficulties to understand meanings of produced speech.

  Good

  Students have an active attitude towards studying Finnish language showing that by completing course tasks according to the schedule. They are able to cope in most common everyday situations, which have been studied during the course. Students are able to write brief messages (e.g. e-mail, text message, and post card) in Finnish and are able to pronounce Finnish clearly enough. Students’ mother tongue may have an effect in pronunciation and/or sentence structure, but it doesn’t cause big problems to understand the meaning of messages.

  Excellent

  Students have a positive and active attitude towards learning language. They can pronounce Finnish distinctively and are able to use suitable and varied expressions in everyday situations using grammar mostly correct way. Students can participate in a conversation asking and responding to questions about topics studied in the course. They can write simple descriptions or stories and recombine words and phrases into new sentences.

  Approved/Failed

  Failed: Students have attended contact lessons less than 80%. They have not completed course assignments because of lack of or activity or gained skills. They don’t speak and write and also understand Finnish more than a couple of words.

  Further information

  This course is for students whose mother language is not Finnish and who have completed a course Finnish for Foreigners 1.

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  Name of lecturer(s)

  Marja Oksanen

  Language of instruction

  Finnish

  Timing

  13.01.2020 - 12.02.2020

  Registration

  25.11.2019 - 10.01.2020

  Credits

  2 cr

  Group(s)

  19I260E

  Seats

  0 - 40

  Teacher(s)

  Marja Oksanen

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Introduction to Cybersecurity 5G00DM21-3002 26.08.2019-22.12.2019  5 cr  (19I260E) +-
  Learning outcomes of the course unit

  Student is able to:
  
  - understand the importance of safety, data security and privacy
  - use password manager
  - describe common cybersecurity threads and how organizations mitigate attacks
  - be safe using social media
  - understand the business aspects related to the importance of cybersecurity
  - explain why credentials, firewalls, virus protection and updates are crucial to computer security

  Course contents

  - the need for cybersecurity
  - basics of risk management
  - threads, vulnerabilities and attacks
  - protecting data and privacy
  - confidentiality, integrity and availability
  - importance of credentials

  ---

  Name of lecturer(s)

  Hanna Kinnari-Korpela

  Language of instruction

  English

  Timing

  26.08.2019 - 22.12.2019

  Registration

  03.06.2019 - 15.10.2019

  Credits

  5 cr

  Group(s)

  19I260E

  Seats

  0 - 35

  Teacher(s)

  Petteri Jekunen

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Mathematics 1 5N00DL83-3002 30.09.2019-05.12.2019  5 cr  (19I260E) +-
  Learning outcomes of the course unit

  Student is able to:
  - understand basic terminology of geometry and trigonometry
  - calculate areas and volumes of two- and three-dimensional objects
  -use equations involving trigonometric functions and recognize graphs of them
  - apply vectors to technical problems
  - perform calculations with complex numbers
  - perform basic calculations with matrices and apply them in practical problems

  Course contents

  Geometry, areas and volumes, trigonometry, trigonometric functions and their properties, vector calculus and applications, complex numbers, matrices, group of linear equations.

  Assessment criteria

  Satisfactory

  Understanding of basic concepts related to course topics. Capability to calculate exercises that are similar to discussed examples.

  Good

  Understanding of basic and advanced concepts related to course topics. Ability to apply them in basic technical problems.

  Excellent

  In addition, ability to apply course topics in advanced problems.

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  Name of lecturer(s)

  Ulla Miekkala

  Language of instruction

  English

  Timing

  30.09.2019 - 05.12.2019

  Registration

  03.06.2019 - 06.09.2019

  Credits

  5 cr

  Group(s)

  19I260E

  Teacher(s)

  Jukka Suominen

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Mathematics 2 5N00DL84-3004 15.01.2020-03.05.2020  5 cr  (19I260E) +-
  Learning outcomes of the course unit

  Student is able to:
  - understand the concept of a function and recognizes the characteristic properties of different basic functions
  - solve equations and recognize graphs involving basic functions and apply them in practical problems
  - apply the concepts of derivative when solving practical problems
  - interpret derivative as rate of change
  - determine the derivative using graphical, numerical and symbolical methods
  - construct error estimates using the differential method
  - understand basic terminology of integral calculus
  - determine integral graphically, numerically and symbolically
  - calculate areas using definite integral

  Course contents

  - Basic functions, terminology, graphs and equations (Polynomial, exponential, logarithmic)
  - Derivative
  - Graphical, numerical and symbolic differentiation
  - Applications of derivative
  - Error estimation with differential
  - Integral function
  - Definite integral
  - Graphical, numerical and symbolic integration
  - Calculation of areas and volumes with integral

  Assessment criteria

  Satisfactory

  Understanding of basic concepts related to course topics. Capability to calculate exercises that are similar to discussed examples. Can interpret derivative as rate of change. Can determine derivatives and integrals using graphical and symbolical methods. Can calculate basic areas and volumes with integrals.

  Good

  In addition, understanding of advanced and most concepts related to course topics. Ability to apply them in basic technical problems.

  Excellent

  In addition, ability to apply course topics in advanced problems.

  ---

  Name of lecturer(s)

  Jukka Suominen

  Language of instruction

  English

  Timing

  15.01.2020 - 03.05.2020

  Registration

  25.11.2019 - 10.01.2020

  Credits

  5 cr

  Group(s)

  19I260E

  Teacher(s)

  Jukka Suominen

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Mathematics 3 5N00DL85-3001 06.01.2020-03.05.2020  5 cr  (18I260E) +-
  Learning outcomes of the course unit

  The student
  - has basic knowledge of mathematics related to data-analysis
  - is able to construct graphical presentation for statistical data.
  - is able to calculate basic statistical measures with computer.
  - can interpret data using statistical measures and graphs.
  - is able to use and apply classical data analysis for solving technical problems
  - is familiar with basics of clustering and decision trees

  Course contents

  • Classical Data Analysis
  • Decision Trees, Random Forests
  • Clustering, K-means
  • Non-linear Optimization
  • Regression: Generalized Linear Regression, Classification, Logistic Regression
  • Neural Network

  Assessment criteria

  Satisfactory

  Understanding of basic concepts related to course topics. Can use classical data analysis and linear regression in technical problems. Capability to construct basic graphical presentations for statistical data and calculate basic statistical measures with computer. Capability to calculate exercises that are similar to discussed examples.

  Good

  In addition, understanding of advanced and most concepts related to course topics. Ability to apply them in basic technical problems.

  Excellent

  In addition, ability to apply course topics in advanced technical problems.

  ---

  Name of lecturer(s)

  Jukka Suominen

  Language of instruction

  English

  Timing

  06.01.2020 - 03.05.2020

  Registration

  25.11.2019 - 10.01.2020

  Credits

  5 cr

  Group(s)

  18I260E

  Seats

  0 - 40

  Teacher(s)

  Pekka Kaatiala

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Mechanics and Thermophysics 5N00DJ63-3003 26.08.2019-22.12.2019  5 cr  (19I260E) +-
  Learning outcomes of the course unit

  After completing this course student:
  - can use quantities and units
  - knows the fundamental laws of mechanics, fluid mechanics and thermophysics
  - can describe phenomena by using quantities and their dependences and make justified solutions of related problems
  - can make and interpret graphical presentations
  - knows how to describe heat and fluid and their transfer.
  - has developed his/her technological and scientific way of thinking.

  Course contents

  Contents:
  - SI-system of quantities and units
  - Modelling of translational and rotational motion
  - Force and Newton´s laws
  - Work and energy principles
  - Humidity
  - thermal expansion, heat, calorimetry, transfer of heat
  - Fluid mechanics

  Assessment criteria

  Satisfactory

  Knowledge of the most essential phenomena and related quantities and units in mechanics and thermophysics. Capability to analyse, when guided qualitatively and quantitatively simple cases related phenomena similar to discussed examples.

  Good

  In addition capability to apply the principles to new situations. Can use the terminology and models in presentations of justified qualitative and quantitative analyses of phenomena.

  Excellent

  In addition, versatile and fluent ability to analyse phenomena qualitatively and quantitatively realizing the limitations related to theories in use.

  ---

  Name of lecturer(s)

  Sami Suhonen

  Recommended or required reading

  Randall Knight, Physics for Scientists and Engineers, preferably New International Edition, 3rd Edition, Pearson Education 2014.
  Technical Formulas, Tammertekniikka, 2002 (in Finnish: Tekniikan kaavasto)

  Planned learning activities and teaching methods

  demonstrations
  independent e-learning
  classroom teaching
  exercises
  cooperative learning
  weekly exams and final exam

  Assessment methods and criteria

  See Tabula for details.

  Language of instruction

  English

  Timing

  26.08.2019 - 22.12.2019

  Registration

  03.06.2019 - 06.09.2019

  Credits

  5 cr

  Group(s)

  19I260E

  Teacher(s)

  Sampo Saari, Tuomo Nieminen

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

  Exam schedule

  Weekly tests are held approximately every four weeks. Weekly exams cannot be renewed. The exact updated schedule in the Tabula.
  Resit can be found in Pakki.

  Students use of time and load

  Lecture, exercise reviews and exam 60 h
  Independent work ab. 75 h
  Total ab. 135 h

  Assessment criteria
•   Mobile App Development 1 5G00DL98-3001 07.01.2020-03.05.2020  5 cr  (18I260E) +-
  Learning outcomes of the course unit

  The student is able to implement mobile applications utilizing cloud services for Android and iOS devices.

  Course contents

  The basics of mobile application development. Writing mobile applications for different types of iOS and Android devices. Native (Java and Swift), web and hybrid frameworks. Mobile application user interface development.

  Assessment criteria

  Satisfactory

  Student knows the basic principles of mobile application development. Student is able to implement mobile applications for different types of iOS and Android devices with guidance. Student knows about native (Java and Swift), web and hybrid frameworks. Student is able to design and implement mobile application user interfaces with guidance.

  Good

  Student understands the basic principles of mobile application development. Student is able to implement mobile applications for different types of iOS and Android devices. Student knows native (Java and Swift), web and hybrid frameworks. Student is able to design and implement mobile application user interfaces.

  Excellent

  Student understands in depth the basic principles of mobile application development. Student is able to implement diversely mobile applications for different types of iOS and Android devices in various situations. Student knows in depth native (Java and Swift), web and hybrid frameworks. Student is able to design and implement mobile application user interfaces with good UX.

  ---

  Name of lecturer(s)

  Tony Torp

  Language of instruction

  English

  Timing

  07.01.2020 - 03.05.2020

  Registration

  25.11.2019 - 10.01.2020

  Credits

  5 cr

  Group(s)

  18I260E

  Seats

  0 - 40

  Teacher(s)

  Tony Torp

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Network Technologies 5G00DL94-3001 05.09.2019-19.12.2019  5 cr  (18I260E) +-
  Learning outcomes of the course unit

  Student will be able to
  - decribe the devices and services used to support communication in computer networks and Internet
  - explain how devices access local and remote network resources
  - understand the basic settings that IP-network devices need to communicate
  - configure basic settings to network devices
  - set IP-networking settings to servers and clients
  - explain fundamentals of switching, Ethernet LANs and IP routing
  - explain the phases and encapsulation of data in TCP/IP transmission
  - build a small LAN
  - describe a wireless network and functions of a digital communication system

  Course contents

  Introduction to Networking, network protocols and communication, TCP/IP and data encapsulation, Ethernet, Configuring network devices, IP-Addressing, Troubleshooting network connections. Wireless communication.

  ---

  Name of lecturer(s)

  Hanna Kinnari-Korpela

  Recommended or required reading

  All materials can be found from the courses learning management system: www.netacad.com

  Planned learning activities and teaching methods

  Lectures, labs, simulations, groupworks, discussions, exams, videos

  Assessment methods and criteria

  Multiple different task must be done:
  - simulations and labs
  - chapter exams
  - final exam
  - skills exam
  All task are evaluated by scale from 0 to 100. You need to pass all tasks (get min. 50% of points).

  Language of instruction

  English

  Timing

  05.09.2019 - 19.12.2019

  Registration

  03.06.2019 - 06.09.2019

  Credits

  5 cr

  Group(s)

  18I260E

  Seats

  0 - 24

  Teacher(s)

  Ville Haapakangas

  Further information for students

  In this course we will use Cisco Networking Academy's learning management system: https://www.netacad.com
  Teacher will send you guides on how to register by email before the start of this course.

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Virtual proportion

  2 cr

  Evaluation scale

  0-5

  Completion alternatives

  CCNA Certificate

  Exam schedule

  Exam and Skills on 5th December
  retakes on 12th December

  International connections

  Cisco Networking Academy is internationally recognized program

  Students use of time and load

  5 cr, circa 135 student working hours, student should be able to study 8-10 hours weekly

  Content periodicity

  [will be clarified later]
  
  5.9. start
  ...
  5.12. exam and skills
  12.12. retakes

  Assessment criteria

  Satisfactory

  50-59% -> 1
  60-69% -> 2

  Good

  70-79% -> 3
  80-89% -> 4

  Excellent

  90-100% -> 5

  Approved/Failed

  less than 50% of the total points -> fail

•   Orientation for Engineering Mathematics 5N00BH84-3010 26.08.2019-27.09.2019  3 cr  (19I260E) +-
  Learning outcomes of the course unit

  Student is able
  -to operate with mathematical expressions related to technology
  -to formulate the mathematical model and solve the equations

  Course contents

  Mathematical Notations, Unit Conversations. Mathematical Expressions. Solving Linear, Quadratic and Pair of equations. Percentages. Solving Right Triangle. Simple Areas and Volymes.

  Further information

  This course is meant for students that need to update their mathematics and calculus skills for studying the mandatory Mathematics courses at TAMK.

  ---

  Name of lecturer(s)

  Jukka Suominen

  Language of instruction

  Finnish

  Timing

  26.08.2019 - 27.09.2019

  Registration

  03.06.2019 - 06.09.2019

  Credits

  3 cr

  Group(s)

  19I260E

  Teacher(s)

  Jukka Suominen

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Orientation to ICT Engineering Studies 5G00DL86-3003 26.08.2019-22.12.2019  3 cr  (19I260E) +-
  Learning outcomes of the course unit

  After completing this course a student can:
  - plan his/her studies - preliminary plan his/her professional career
  - use the software tools uselful during the studies
  - write, present and manage numerical and written data with the aid of computers and software
  - use appropriate TAMK’s information systems, services and network

  Course contents

  Contents:
  -orientation for ICT engineering studies at TAMK
  -timetables and rules of the studies
  -curriculum and personal study plan
  -practical training and it's significance for professional learning
  -basic use of Microsoft's Word, Excel and Power Point
  -TAMK information systems and services for students

  ---

  Name of lecturer(s)

  Hanna Kinnari-Korpela

  Recommended or required reading

  See Tabula: 5G00DL86-3003 Orientation to ICT Engineering Studies

  Assessment methods and criteria

  Grading scale is 0-5. The grade is given according to the points given on the mandatory practical work.

  Language of instruction

  English

  Timing

  26.08.2019 - 22.12.2019

  Registration

  03.06.2019 - 06.09.2019

  Credits

  3 cr

  Group(s)

  19I260E

  Teacher(s)

  Tomi Salo

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

  Completion alternatives

  The course can be completed by making practical test with passed assessment. The practical work must be made within the course schedule.

  Exam schedule

  No written exams. Deadlines for the submission of practical work and assessments are given during the course.
  More detailed instructions will be given in the practical work instructions. (not translated)

  Students use of time and load

  Approximately 28 hours of computer class training sessions and approximately 53 hours of self study. Total approx. 81 hours.

  Content periodicity

  TAMK network and computer services
  Microsoft (MS) Excel
  MS Word
  MS PowerPoint

  Assessment criteria

  Satisfactory

  Knowledge and understanding of the core network services of TAMK. The basic skills in using MS Office programs; Word, Excel and PowerPoint. Basic skills in creating reports with MS Office programs.

  Good

  Knowledge and understanding of the core network services of TAMK. Fluent skills in using Office programs of Word, Excel and PowerPoint. Fluent skills in creating reports with Office programs. The ability to use some advanced methods of Office programs in appropriate parts of the reports or in Office programs.

  Excellent

  Knowledge and understanding of the core network services of TAMK. The fluent skills in using MS Office programs; Word, Excel and PowerPoint. Fluent skills in creating reports with MS Office programs. Ability and knowledge to use many advanced methods of Office programs. The recognition and fluent use of appropriate report specific basic and advanced features of Office programs and use of those in reports or in Office programs.

  Approved/Failed

  No practical work is returned within the given time limits. Or the returned practical work does not meet the given minimum requirements.

•   Physics Laboratory Works 5N00DJ65-3001 06.01.2020-03.05.2020  3 cr  (18I260E) +-
  Learning outcomes of the course unit

  Studend are able to
  - make controlled measurements
  - make plans of measurements
  - evaluate reliability of measurements
  - evaluate importance of measurements

  Course contents

  Measurements of students own technical area
  Reporting of laboraratory works made
  Project learning applications

  Assessment criteria

  Satisfactory

  Participation to all measurement classes and presentattions is compulsory. Reports have been done,methods and results have been presented, structure and analyses may have some shortages and can be partly erroneous.Discussion contains very few, simple conclusions.

  Good

  Participation to all measurement classes and presentations is compulsory. Measurements and reports done in a normal way. Results and analyses are correct. Reports have been done correctly according to the reporting standards of TAMK. Discussion contains some comments relevant comments relating to the results and applications.

  Excellent

  Participation to all measurement classes and presentations is compulsory. Measurements and reports done with comprehensive, active, collaborative working. Results and analyses are correct. Structured, fluent, especially transparent text, vision of limitations and improvements, broad mature discussion and own conclusions related to the topics

  ---

  Name of lecturer(s)

  Sami Suhonen

  Language of instruction

  English

  Timing

  06.01.2020 - 03.05.2020

  Registration

  25.11.2019 - 14.01.2020

  Credits

  3 cr

  Group(s)

  18I260E

  Seats

  0 - 40

  Teacher(s)

  Jarmo Lilja

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Practical Training 1 5G00DM10-3002 06.01.2020-31.07.2020  6 cr  (19I260E) +-
  Learning outcomes of the course unit

  After completing the first Practical Training students have achieved practical work life skills and been introduced to the work culture of ICT engineering.

  Course contents

  Practical training. Documentation and reporting of training.

  ---

  Name of lecturer(s)

  Hanna Kinnari-Korpela

  Language of instruction

  Finnish

  Timing

  06.01.2020 - 31.07.2020

  Registration

  25.11.2019 - 10.01.2020

  Credits

  6 cr

  Group(s)

  19I260E

  Seats

  0 - 40

  Teacher(s)

  Erkki Hietalahti

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Practical Training 2 5G00DM11-3001 06.01.2020-31.07.2020  12 cr  (18I260E) +-
  Learning outcomes of the course unit

  After completing the second part of Practical Training students have achieved practical work life skills and have deepen their skills in software engineering

  Course contents

  Practical training. Documentation and reporting of training.

  ---

  Name of lecturer(s)

  Erkki Hietalahti

  Language of instruction

  Finnish

  Timing

  06.01.2020 - 31.07.2020

  Registration

  25.11.2019 - 10.01.2020

  Credits

  12 cr

  Group(s)

  18I260E

  Seats

  0 - 40

  Teacher(s)

  Erkki Hietalahti

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Programming Languages 1 5G00DL96-3003 26.08.2019-22.12.2019  5 cr  (19I260E) +-
  Learning outcomes of the course unit

  1. Student understands the basic nature of programming. 2. Student is able to apply her/his programming skills to more demanding challenges involving writing algorithms and modularizing programs with functions 3. Student understands different kinds of programming languages and their usage areas.

  Course contents

  Basics of programming by using C++. Handling data with variables and functions, writing code in different environments, debugging and profiling. Overview of programming languages: compiled, interpreted, functional and scripted languages.

  Assessment criteria

  Satisfactory

  Student is sufficiently able to handle data with variables and functions to solve basic programming tasks. Student can write and compile code in given environment. Student is able to use debugging and profiling with guidance. Student knows the basic idea of programming languages.

  Good

  Student is able to handle data with variables and functions. Student can write and compile code in given environment. Student is able to use debugging and profiling when needed. Student knows the overview of programming languages like compiled, interpreted, functional and scripted languages.

  Excellent

  Student is able diversely to handle data with variables and functions. Student can write and compile code in different environments. Student is able to use debugging and profiling to solve problems. Student knows diversely the overview of programming languages like compiled, interpreted, functional and scripted languages.

  ---

  Name of lecturer(s)

  Hanna Kinnari-Korpela

  Language of instruction

  English

  Timing

  26.08.2019 - 22.12.2019

  Registration

  03.06.2019 - 06.09.2019

  Credits

  5 cr

  Group(s)

  19I260E

  Seats

  0 - 35

  Teacher(s)

  Anu Maununen, Esa Kunnari

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Programming Languages 2 5G00DL97-3002 06.01.2020-03.05.2020  5 cr  (19I260E) +-
  Learning outcomes of the course unit

  1. Student understands the concepts of object-oriented programming. 2. Student is able to implement C++ programs and applications by utilizing object-oriented design. 3. Student knows how to program with C++ programming language.

  Prerequisites and co-requisites

  Programming languages 1

  Course contents

  Basics object-oriented programming by using C++. Modularizing programs with classes and objects and utilizing object-oriented programming in program implementations.

  Assessment criteria

  Satisfactory

  Students knows about object-oriented programming principles. Student is able to implement modularizing programs with classes and objects with guidance. Student is able to utilize object-oriented programming principles in simple program implementations with guidance.

  Good

  Students knows object-oriented programming principles by using C++. Student is able to implement modularizing programs with classes and objects. Student is able to utilize object-oriented programming principles independently in different program implementations.

  Excellent

  Students knows in depth object-oriented programming principles by using C++. Student is able to implement modularizing programs with classes and objects in diverse situations. Student is able to utilize object-oriented programming principles independently diversely in various different program implementations.

  ---

  Name of lecturer(s)

  Tony Torp

  Language of instruction

  English

  Timing

  06.01.2020 - 03.05.2020

  Registration

  25.11.2019 - 10.01.2020

  Credits

  5 cr

  Group(s)

  19I260E

  Seats

  0 - 40

  Teacher(s)

  Erkki Hietalahti

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Server Technologies 5G00DL95-3001 06.01.2020-03.05.2020  10 cr  (18I260E) +-
  Learning outcomes of the course unit

  Student is able to
  -perform a complete server configuration including: firewall, backups, etc.
  - set up basic single server services, including a web server and a Node.js application, running inside Docker containerization system
  - use basic Unix/Linux command line tools found on most servers
  - perform regular server maintenance
  - set up basic server hardening by configuring a firewall and setting limitations on user login and file access

  Course contents

  Linux, Advanced server configuration, firewall (iptables), scheduled cron jobs, remote backups (rsync), server platforms, server architectures. Command line usage (using a remote shell), virtualization, server container management (Docker), HTTP server setup (Nginx/Apache)

  ---

  Name of lecturer(s)

  Esa Parkkila

  Language of instruction

  English

  Timing

  06.01.2020 - 03.05.2020

  Registration

  25.11.2019 - 10.01.2020

  Credits

  10 cr

  Group(s)

  18I260E

  Seats

  0 - 40

  Teacher(s)

  Esa Parkkila, Petteri Jekunen

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

•   Web Software Production 5G00DM04-3001 26.08.2019-22.12.2019  5 cr  (18I260E) +-
  Learning outcomes of the course unit

  The student knows the full process of development for web applications from code to distribution. The student is able to setup a development environment using Docker. The student is able to setup and configure all stages of DevOps.

  Course contents

  DevOps Web development methods and practises with a Web Software project. Version control, Docker, Testing automation, CI/CD Pipeline, deployment process.

  Assessment criteria

  Satisfactory

  Student knows about DevOps web development methods and practises in a web software project. Student can use version control in the project. Student is able to use Docker or some similar technology in the project with guidance. Student is able to configure testing automation setup for the project with guidance. Student is able to implement a simple CI/CD Pipeline for the project. Student is able to configure a simple deployment process for the project.

  Good

  Student knows and understands DevOps web development methods and practises in a web software project. Student can exploit version control in the project. Student is able to use independently Docker or some similar technology in the project. Student is able to build testing automation setup for the project. Student is able to implement CI/CD Pipeline for the project. Student is able to configure deployment process for the project.

  Excellent

  Student knows and understands in depth DevOps web development methods and practices in a web software project. Student can exploit version control diversely in the project. Student is able to use diversely Docker or some similar technology in the project. Student is able to build good testing automation for the project. Student is able to implement versatile CI/CD Pipeline for the project. Student is able to configure complete deployment process for the project.

  ---

  Name of lecturer(s)

  Pekka Pöyry

  Language of instruction

  Finnish

  Timing

  26.08.2019 - 22.12.2019

  Registration

  03.06.2019 - 06.09.2019

  Credits

  5 cr

  Group(s)

  18I260E

  Teacher(s)

  Esa Parkkila

  Unit, in charge

  Degree Programme in ICT Engineering

  Degree programme(s)

  Bachelor's Degree Programme in Software Engineering

  Office

  TAMK Main Campus

  Evaluation scale

  0-5

Implementations in academic year 2020 - 2021

There is no realizations attached to this degree programme.