Sisältöhaku
Research Ethics and Data Management BA-level
This self-study material has been created for students to support them in their bachelor’s thesis seminar. The purpose is to go through key points of research integrity and ethics in human sciences as well as practicalities related to data management and data protection.
REDMA
Tietotekniikan erikoiskurssi 9 - Fundamentals of Sensing, Tracking, and Autonomy 2
Upon completion of the course the students will be able to: - Deeply understand the fundamentals common to widely used in robotics and autonomous systems. - Design and analyze planning algorithms. - Apply the material to critical problems in robotics, internet of things, and virtual and augmented reality. - Understand the links between theory and practice in sensing, filtering. and autonomous systems.
521257S:1
Business Marketing in Networks 2024
Welcome to the course “Business Marketing in Networks”! The course will be organized online following a flipped classroom model and blended approach, which means that except for the introduction lecture on 9.1.2024, the first half of the course (9.1.-4.2.2024) includes independent online studies in Moodle where you study the course materials and accomplish pre-determined learning tasks. Then, from 5th February onward, there will be contact lectures where discussions, group works, case exercis...
721469S:3
Market and Competitor Analysis
Learning outcomes: After completing the course, the student is able to: Understand the core concepts related to market and competitor analysis, Assess the characteristics company’s external business environment, Plan competitor analysis on a strategic level, Analyze competitors’ performance against company’s own business objectives. Contents: The course addresses the analysis of an organization’s external environment, focusing on its market and competitors. These are viewed both from the stra...
721023S:1
Electronic Sensors (2022)
Content of the course: methods for measuring displacement, velocity, acceleration, torque, liquid level, pressure, flow, humidity, sound and temperature. Ultrasound, optical and nuclear measurement techniques and applications, material analyses such as pH measurement and gas concentration, smart sensors. Upon completion of the course, the student will be able to: * explain the operating principles of different electronic sensors; * select the right sensor for each measuring target; * identify...
521124S:4
Notes on Nursing (All ENP Groups)
The Notes on Nursing (NoN) module stores general guidance material, information, and instructions for nursing studies. Mainly only permanent/long-term materials and information common to all International Degree Programme (ENP) students (e.g. semester timetables, internship rules) are stored here.
NEM ENP2022
Introduction and learning tools to the continuous education in bioinformatics and data analysis
This course is the first course to be taken in the continuing education Bioinformatics and data analysis training module. This course focuses on the concept of bioinformatics and data analysis, introduces the structure of the training and teachers. It also familiarizes the students with the learning platform Moodle, e.g. how to find the course material, participate in exercises and return assignments.
7400AE74_INTRODUCTION
Material bank - Bioinformatics and data analysis training module
Material bank for students in continuing education Bioinformatics and data analysis training module. The material bank consists of basic biochemistry as well as cell and molecular biology self-learning material for students in the training module.
SA2021DATAANALYSIS_MATERIALBANK
521160P Introduction to Artificial Intelligence / Johdatus tekoälyyn, Spring 2022
Introduction to Artificial Intelligence is an introductory course to the world of AI. This course includes topics such as search methods, supervised learning and unsupervised learning. The course does not require prior knowledge about AI and is suitable for everyone. All material needed can be found from the course Moodle.
521160P:3
Human Resource Management (2022) 2022-03-15 / 2022-06-25
LEARNING OUTCOMES Upon completion of the course, the student will be able to: * understand the key concepts of human resource management * utilise methods in analysing and planning of human resource practices in organisations * participate in human resource practices planning and implementation in organisations * apply PCMM (People Capability Maturity Model) frameworks * know the basic Finnish laws, bylaws and trade agreements in the area of human resource management CONTENT Organisational ca...
555371S-3002