Student Type: Aikuisopiskelija
Basic course in C programming
Course contents Basic concepts of systems-level programming Basics of the C programming language Dynamic memory management and its application in common data structures Basic use of programming and debugging tools for C Small programming exercises in C After completing the course, the student knows the basics of C programming language and can independently write short…
Introduction to web development and programming
Max amount of FITech students: 300 This course is only available for persons without a valid study right to a Finnish university or university of applied sciences. The course teaches how to build a simple online service step-by-step. The beginning of the course focuses on browsers and web pages. This knowledge is then extended to…
Sustainable urban energy
Course contents Stage 1: Energy in cities (35h) Lectures: Own work: Stage 2: Building energy efficiency (65h) Lectures: Own work: Stage 3: Sustainability in cities (35h) Lectures: Own work: Learning outcomes After completing the course the student Course material Lecture slides and recommended reading provided on the course Moodle site. Teaching schedule Online course: Completion…
Battery chemistries and components
Course contents Learning outcomes After completing the course, the students will Teaching methods Assessment methods Examination based on the course exercises. Workload Total workload is 135 h of which scheduled studies 30 h, project work 30 h and independent studies 75 h. Lectures More information in the University of Oulu study guide. You can get a…
Software engineering management
Core content: Generic software life cycle models and their relation to software engineering management. Software engineering management models and trends. Agile software engineering. Software measurement. Estimating software costs. Software project planning. Analysis of project characters, challenges and risks. Software quality management. After completing this course, the student is able to: identify typical software project problems…
Social media analytics
Max amount of FITech students: 100 This course introduces social media as a data source and platform for understanding, exploring, and solving various societal issues. The relevant theoretical concepts around social media, analytic tools, and affordances of different social media platforms such as Twitter, Facebook, Instagram and YouTube will be discussed in detail. The students…
Digital platform economy
Course content overlaps with course CS-E5310 ICT enabled service business and innovation (5 ECTS). Please choose only one of them. Course content Enablers of digitalisation, convergence, commoditisation, consumerisation (of IT), democratisation, disaggregation, disintermediation, power of digital aggregators and intermediators, specialisation, lowering entry barriers, servitisation, datafication, mobility, social media. Platforms, platform economy, network effects, boundary resources…
Ohjelmoinnin perusteet
Tämä kurssi tarjoaa yliopisto-opiskelijoille perustiedot ohjelmoinnista sekä teorian että käytännön näkökulmasta. LUTin ensimmäinen ohjelmointikieli on ollut jo vuosia Python, sillä se sopii hyvin mm. ohjelmoinnin opiskeluun ja datan analysointiin. Tämän kurssin tavoitteena on ymmärtää ohjelmoinnin taustat ja historia sekä luoda vahva pohja muiden ohjelmointikielten opiskeluun Pythonin lisäksi. Kurssilla ei ole esitietovaatimuksia ja kaikki kurssin suorittamiseen…
Advanced course on databases
The course presents advanced topics in databases, like physical storage and indexing, query processing and optimisation, transaction processing, concurrency control and error recovery. After completing the course, the student will be able to: Student can choose to study the course online or attend the lectures. The exam is organised in Turku or Vaasa. More information…
Analytics for industrial internet
Course objectives: Understand and apply digital sampling Applying up-sampling and down-sampling Understand and apply digital filtering techniques (FIR, IIR) Applying different signal refinement and analytics algorithms, such as signal averaging, Independent Component Analysis (ICA) and Principal Component Analysis (PCA) Understand and apply sparse signal handling such as sparse sampling Understand and apply Kahlman filters Apply…