Sisältöhaku
Data Mining Project Spring 2022 2022-01-01 / 2023-12-31
Upon completion of the course, the student will be able to: - design and execute a small-scale data mining project - design a research plan and formulate research questions - select pre-processing methods appropriate for a given data setselect appropriate data mining and data analysis methods based on the data and the research questions - apply the selected methods to a real-world data set - interpret and evaluate the results of the analysis - present the results of the project and report the...
521251S:1
Topology 2026
The course deals with point-set topology and includes: The basic definitions of a topological space, examples, continuous functions, compact spaces, connected space
802669S:2
Application Specific Signal Processors
During the course students will learn how to construct custom processors for specific applications. The core application domain of the course is embedded signal processing, but the course content will be insightful for anyone interested in understanding the low-level computations taking place within processors. The course is practice-oriented in the sense that most of the work time during the course, students will work independently with processor design that ends up in realizing the processo...
521281S:1
Genre in Communication 2022
The term ‘genre’ has been a long standing one in a range of fields of inquiry, yet the notion has become somewhat ossified in many ways, sometimes leading to the neglect of real consideration of genre-related issues in the study of communication (whether written, spoken or otherwise). Most commonly, we see genre conceived as the Cambridge Dictionary defines it, as “a style, especially in the arts, that involves a particular set of characteristics”. Yet other views exist and some of them may p...
682411S:2
Research and Technology Management 555350S-3007 2023
PLEASE READ THESE INSTRUCTIONS CAREFULLY BEFORE STARTING THE EXAM!Separate registration in Peppi is not needed. There are four essay questions in this exam, 6 points each, 24 points in total. To pass the exam, 12 points are needed. The questions test your ability to apply what you have learned during the course. You are allowed to utilise the course materials in this exam. However, COPY-PASTING IS NOT ALLOWED. You can answer in Finnish or in English. FOR EACH QUESTION, YOU HAVE A 45-MINUTE TI...
555350S-3007
Quantum mechanics II / Kvanttimekaniikka II 763313A-3004 (2024)
LEARNING OUTCOMES The course continues the development of the quantum mechanical frame-of-mind. By the end of the course, students will be able to proficiently apply the operator formalism to analyze quantum phenomena, including entanglement, measurements, and angular momentum. The course will also equip students with the skills to explore particle interactions using scattering theory. Additionally, students will master advanced approximation techniques, such as perturbation theory, to study ...
763313A-3004
Advanced Summer School on Cloud, Edge, and IoT
COURSE DESCRIPTION This course is designed to provide you with comprehensive knowledge about IoT devices, frameworks, and standards. We will focus on various IoT use cases and connectivity scenarios that are set to shape the future of networks. COURSE OBJECTIVES We aim to equip you with the following: KNOWLEDGE: * Layered models and reference architectures * Embedded systems and sensor networks * IoT gateways * Examples of specific IoT services and applications: Smart-Energy, Smart-Health, Sm...
II00AT53-3001
Fundamentals of Finance
721957S FUNDAMENTALS OF FINANCE Jukka Perttunen Learning outcomes Upon completion of the course, the student understands the basic concepts of finance and is capable of applying them in financial problem solving. Students are also able to express their ideas analytically and effectively in written form. Contents Interest rates and discounting, asset pricing, fixed-income securities, derivative securities, portfolio performance evaluation, corporate cash flows, firm valuation. Completing the c...
721957S:1
Natural Language Processing and Text Mining
Natural Language Processing Course and Text Mining The course covers Information retrieval Systems, Basics of Text Mining and Various Tools in Natural Language Processing including Parsing, Lemmatization, Text Categorization, Semantic Text Analysis, Semantic Role Lebeling, Text Summarization, Sentiment Analysis and emotional textual analysis, Chatbot principles. The course assessment is usually made of Class test (One hour) worth 30% of total mark, and Group project work (report submitted one...
521158S:1