Study Guide

Objective

Having completed the course you:
- You know the most common API technologies, standards and specifications in use today
- You understand the importance of APIs in business and know how to evaluate the suitability of different technologies for purposes of use
- You know how to plan, document, implement and test a secure API
- You understand the meaning and operating principles of identification, authentication and authorization
- You know administrative and technical measures to ensure the confidentiality, integrity and usability of information

Content

- Tools and their selection for implementing API interfaces
- REST and SOAP interface technologies
- Http protocol verbs for performing API interface functions
- Interface description languages
- Interface query languages
- Interface testing
- File formats and design models in data transmission of interfaces
- Implementation of information security on interfaces

Evaluation scale

H-5

Objective

The courses of supervision consist of four independent sub-courses; Career planning and development 1: Studying at a University of Applied Sciences 2 ECTS, Career planning and development 2: Career Planning 1 ECTS, Career planning and development 3: Marketing Your Own Competence 1 ECTS, Career planning and development 4: Towards Working Life 1 ECTS. During the part-time courses, the student receives information, advice and guidance to support the planning of their studies. Students learn to evaluate the development of their knowledge and skills. The course supports the management of the student's individual development curve in learning and work, as well as the development of decision-making and career management skills. The student also learns to follow general working life practices and becomes familiar with the rules of the working life.

Studying at a University of Applied Sciences 2 cr
- you know how to use the services and learning environments offered to you by the university of applied sciences
- you know the curriculum and methods of your own training
- you know the actors in the guidance of your own education and you are able to seek guidance from the right people in connection with your studies
- you know the activities and services of POKA
- take responsibility for your own ability to study, well-being and coping
- you group into a student community and contribute to a good study atmosphere
- you know the degree rules of Karelia University of Applied Sciences
- you are familiar with the principles and practices of recognizing and recognizing prior learning (AHOT)
- you take responsibility for your own studies and for keeping your personal study plan (HOPS) up to date
- you take care of your own study ability
- you know the development discussion as part of your working life practices

Content

-Familiarization with the curriculum and familiarization with the teaching implementation practices
- use of computer networks, Karelia.fi, study guide, PAKKI, PEPPI, TUUDO, ATOMI, Moodlerooms, Outlook (e-mail and calendar), rules of procedure, Teams, EXAM, intranet.
- studying at the university, sectoral information, language information, study guidance, study curators, YTHS, parish, international services and student union POKA
- degree rules, general policies and rules of the game, and general and sectoral competencies
- library and information services, data acquisition
- development of a personal study plan (HOPS)
- student well-being, presentation of VIP student activities and VIP selection
- study skills, study styles and strategies
- studying in groups, teams, pair work, projects
- self-direction, life management, time management and stress management
- development discussion

Evaluation scale

H-5

Objective

You will be able to identify your own professional development and critically assess your skills by setting development goals. You can plan your career and make choices accordingly. You are able to act in accordance with general and professional practice in your field at school and during internships both in Finland and abroad.
your plan your own future in working life and are able to make choices to achieve your own professional and career goals.
Your understand the importance of study well-being and are able to take into account factors that affect the ability to study and cope, such as strengthening study skills, time management and life management. You can maintain your motivation to study and ask for support in difficult moments. You know how to plan your time and prioritise things so that your studies progress. You can give constructive feedback.

Content

- Preparing for and participating in the development discussion
- updating of the personal study plan (HOPS)
- Identifying, assessing and making visible your own competences
- Marketing your skills (CV, open application, LinkedIn, networking, social media)
- Developing a career plan
- Participating in the KV info
- Organising company visits (e.g. Work Smart) and actively participating in company visits or attending guest lectures
- Establishing contacts with employers, industry and stakeholders
- Learning about recruitment practices and getting to know recruitment agencies

Evaluation scale

H-5

Objective

You will be able to identify your own professional development and critically assess your skills by setting development goals. You are familiar with legislation related to working life. You can act in your studies in a quasi-professional way, in accordance with the working practices of your field. You can take care of your well-being at university and understand its importance for the learning community. You can maintain your motivation to study and ask for support in difficult moments if necessary. You will be able to find and apply for traineeships/jobs. You are familiar with the thesis process.
Know how to plan your time and prioritise things so that your studies progress. You know how to give developmental feedback.

Content

- Assessing your own skills and making them visible, recognising your development needs and setting goals for their improvement
- The requirements of working life in your field
- Preparing for interviews
- Collective agreements and employment legislation
- Plan for completing studies
- Consideration of well-being issues
- Updating your career plan
- Activating the thesis process (Wihi)
- Preparation for and participation in the development discussion
- Updating your study plan (HOPS)

Evaluation scale

H-5

Objective

As a Student, you
- know and understand the principles, goals, key concepts, applications and utilization methods of the business intelligence.
- know the basics of analytics for supporting business intelligence and information management.
- know the meanings of different levels of analytics and the basics of their application; descriptive, diagnostic, predictive, and prescriptive analytics.
- are able to evaluate the reliability and effectiveness of the data used in analytics
- know and are able to apply data visualization and other methods of description and reporting of data, using modern tools and platforms.
- understand the importance of automation in analytics and business data management solutions.
- understand the importance of data security in analytics and business information management solutions.

Content

Basics of business intelligence, information management and development, data and process development models (eg PDCA, DMAIC)
Analytics; EDA, descriptive, explanatory, predictive, prescriptive
Statistical methods in support of analytics (preparation and application); key indicators, correlation, regression, data testing
Business information management platforms and tools; on-premises, cloud services, hybrid.
Analytics platforms; on-premises, cloud services, hybrid.
Data reporting, visualization, sharing.
Automation needs in business information management.
Specific security issues in business information management.

Evaluation scale

H-5

Evaluation scale

H-5

Evaluation scale

H-5

Evaluation scale

H-5

Objective

As a Student, you
- know and are able to evaluate the significance of data for the organizations (eg. data collection, management and utilizing in operations, processes, tasks, decision making).
- know the basics and special features of traditional data management and big data management.
- know and are able to apply the principles, design, implementation methods and technologies of data integration and data warehousing.
- are able to produce a technical solution for the ETL / ELT process to transfer and integrate of data from different data sources.
- are familiar with the importance of API-interfaces and various data storage and formats in data storage and other data management applications.
- understand the basics of data quality management and is able to apply them.
- understand the importance of automation in data management.
- understand the importance of data security in data management.

Content

- Importance of data for organizations
- Data management and utilization; traditional and big data, applications (operating systems, data warehousing, visualization, analytics, automation, machine learning)
- Data engineering, data management solutions, platforms, technologies and processes (on-premises-cloud-hybrid, Databases, data Warehouse - data warehouses, data lakes, ETL, ELT, OLAP, system independent solutions)
- APIs / interfaces and formats; mm. transfer files: CSV, XML, JSON, database interfaces: SQL, noSQL, data warehouses, web services, system-specific APIs.
- Data processing and transformations
- Data quality management
- Processes, automation and data management
- System-independent data management solutions.
- Data management automation needs and capabilities.
- Specific security issues related to data management.

Evaluation scale

H-5

Objective

You understand how to read input from a user into a program
You understand how to print formatted messages to standard output stream
You understand how to process character arrays
You understand how to create classes and objects
You understand how to define member functions and their parameters
You understand how a dynamic array data structure is used
You understand how references are used
You understand how pointers are used
You understand how operators are overloaded
You understand how to reading and writing of text files happens in code
You understand how to reading and writing of binary files happens in code
You understand how exceptions work in error handling
You understand how to use a list data structure
You understand how records within container classes are processed
You understand how library functions are used
You understand how libraries are created from code
You understand how libraries are used in code
You are able to use your own exceptions in error handling
You are able to use data structures in your own algorithms
You are able to process container class records with your own algorithms
You are able to use library functions in versatile fashion
You are able to create static and dynamic libraries from your own code
You are able to use libraries made by you and others in your own code
You are able to evaluate and give reasoning to choices you make in writing your programs
You are able to write programs, where you combine different features of programming language

Content

Data streams
Array processing
Object-oriented programming in C++
References and pointers
Operator overloading
File handling
Error handling with exceptions
Libraries

Teaching methods

Prerequisites: General Application Developer Skills courses (Data Security in Software Development, Application Programming Interfaces, Software Architecture Patterns)

Evaluation scale

H-5

Further information

Good skills in basic and object-oriented programming.

Teaching methods

Course Contents:
We organise an intensive study week (week 8, 17-21st February 2025) here in Karelia University of Applied Sciences.
During the week you will design, implement, test, present and launch a simple gamified web application for onboarding new students.

The students to join this project are coming from Spain, the Netherlands, Finland, Germany and France, so you have a great chance to work in international teams and also practice other language skills than English, like German, French or Spanish!

Credits and assessment:
The course contains some preparatory work (videos and materials for preparing for the week’s development effort) and a meeting online with the team members in January 2025. By completing the full course you will receive 3 ECTS (3 opintopistettä). Assessment will be carried out by evaluating the tasks you complete during the intensive week.

Evaluation scale

H-5

Objective

-you know basics of logical deduction and you know hoe to use logical deduction tools, such as truth tables and Karnaugh maps.
-you know basics of predicate logic, basic operations of set theory, relation and function, and you know their connections to the propositional logic.
-you know how to use induction proof method, you know basics of combinatorics and graph theory.
-you understand the theory of combinatorics and you are able to apply the theory in practice.
-you understand graph theory (network theory) and you are able to apply the theory in practice.
-you understand mathematical induction.

Content

Propositional logic, predicate logic, set theory, relations, functions, induction proof, combinatorics, graph theory.

Evaluation scale

H-5

Objective

You know equations and related solving principles
You understand the meaning of solution obtained via equation
You are able to form and solve equations
You are able to evaluate the sensibility of different methods of equation solving methods
You are able to apply equation solving principles to a problem expressed in words
You understand what number sets and systems are
You understand the applications of number sets and systems
You are able to convert numbers from one number set to another
You are able to evaluate applicability of data type to storing specific values
You are able to select the appropriate data types for computational work
You understand basic concepts of set theory
You are able to select correct operation for set processing
You are able to apply several set operations to achieve desired outcome
You are able to evaluate what operation combination is efficient in obtaining desired outcome
You know basic concepts to Boolean logic
You know basic concepts to proposition logic
You know applications of predicate logic
You are able to apply proposition logic to a problem expressed in words
You are able to evaluate the correctness of logical deduction
You know central concepts and basic indicators in statistics
You understand meaning of critical statistics reading skills in recognizing real information, disinformation and misinfomation
You are able to calculate basic indicators from data and visualize data with appropriate software
You are able to evaluate applicability of presented data in studying targeted phenomenon
You are able to evaluate the reliability of presented statistics

Content

Equation solving
- 1st degree equations
- 2nd degree equations

Number sets and systems
- Binary system
- Conversions between bases
- Floating-point inaccuracy

Set theory
- Concepts of element and set
- Venn diagrams
- Operations ( union, difference, intersection)

Logic
- Boolean logic
- Proposition logic / statement logic
- Predicate logic

Statistics reading skills
- Goals, benefits and challenges in producing and utilizing statistics
- Reading statistics, basic concepts: sampling unit, population, sample, representativeness of a sample, random sampling (simple, systematic), stratified and cluster sampling.
- Variables: research and background variables, variable types: numeric, non-numeric, continuous, discrete, dicotomic, classification and scales (nominal, ordinal)
- Interpretation of variables: numerical and graphical methods; basic indicators, central tendency (averages, median, mode), cardinality, frequences. Diagrams: bar, sector and scatter plot diagrams.

Evaluation scale

H-5

Objective

As a Student, you
- understand the basics, objectives, applications and effectiveness of advanced analytics
- know the importance of data-driven and machine learning in the implementation of advanced analytics (especially; predictive and prescriptive analytics)
- know and are able to apply advanced analytical design and implementation methods as well as various platforms and techniques
- are able to evaluate the implementation of advanced analytics, the suitability of models and the applicability of technologies for different applications.
- know and are able to apply principles and tools in the continuous development and lifecycle management of advanced analytics solutions.
- know the possibilities of quantum computing (espec. QML, quantum machine learning) solving the problems of advanced analytics.
- understand the importance of automation in connection with advanced analytics solutions.
- Understand the importance of data security in advanced analytics solutions.
- are able to apply security-enhancing solutions in the implementation of advanced analytics.

Content

Advanced analytics; basics of applying data and machine learning in analytics (eg predictive and guiding analytics)
Machine learning in analytics, data mining
Unsupervised learning and applications in data analysis; clustering, anomaly detection, natural language processing.
Supervised learning and applications in analysis; classification, regression, time series analyzes, association rules mining
Platforms and technologies for analytics solutions; services, templates, workflows,
Continuous development of advanced analytics (data, models, and lifecycle management.
In-depth learning and analytics; neural network.
Possibilities of quantum computing in analytics; quantum machine learning (QML), classical computing vs. quantum computing in analytics, quantum-classical hybrids, QaaS quantum computing services in analytics
Automation needs of advanced analytics.
Security in advanced analytics.

Evaluation scale

H-5

Objective

You
- are aware of your own learning style and the significance of learning strategies in English language studies.
- will activate your English skills and practise using English in various situations related to studies and
working life.
- know how to use dictionaries and internet resources to develop your language skills.
- understand the significance of intercultural communication in working life.
- achieve such interaction skills which enable natural and effective communication in English.

Content

Self-assessment of language competence (European Framework of Reference for Languages)
Emails, telephoning, online communication
Asking for/giving instructions on various situations
Telling about yourself, your field of studies/work and Finland/your home country
Hosting international visitors and interacting in social situations
Work life Skills skills (small talk, giving/receiving feedback, team work skills

The course implementation is in the Common European Reference Framework level B1/B2.

Location and time

Moodle / Zoom

Materials

Moodle materials and internet resources.

Teaching methods

- weekly online meetings, which require a microphone and camera to practice online interaction.
- The course implementation is in the Common European Reference Framework level B1/B2.

Exam schedules

no exams, course assignments in Moodle.

Completion alternatives

RPL-process to be agreed upon with the course teacher.
Contact kaija.sankila@karelia.fi
At the beginning of January, before the start of the course, all enrolled students will be informed about the AHOT information session.

Student workload

Online classes 32h, guided self study (Moodle tasks/assignments) and independent study 40h.

Evaluation scale

H-5

Assessment methods and criteria

- active participation in classes and continuous show of appropriate communication skills
- Moodle tasks/assignments
- life skills https://www.thebalancemoney.com/life-skills-list-and-examples-4147222

Objective

As a Student, you
- know the basics, basic concepts, typical opportunities and challenges of the Internet of Things (IoT) and applications
- understand and are able to apply device-level solutions in the implementation of IoT applications.
- understand and are able to apply software-level solutions in the implementation of IoT applications.
- understand and are able to apply edge computing and cloud service level solutions in the implementation of IoT applications.
- understand and are able to apply data collection and analysis solutions in the implementation of IoT applications.
- understand the importance of automation in IoT solutions.
- understand the importance of data security in IoT solutions.

Content

Internet of Things (IoT) basics; fundamentals, central concepts, history, application, benefits and challenges.
Internet of Things technologies; devices, networks, interfaces, platforms, applications and services;
- Devices: sensors, actuators, hardware solutions for edge calculation
- Networks (wired-wireless, short-medium-long)
- Platforms and architectures; on premises, cloud services, hybrids.
- Edge computing
- Interfaces
- Software, development tools, application development
Internet of Things and data; collection, preservation, recovery
Intelligent sensing
Specific IoT security issues and solutions.
Internet of Things and Automation.

Evaluation scale

H-5

Objective

After the course
- you have a good command of the vocabulary related to hardware and software required in the ICT field as well as the central concepts in the business field
- you know how to retrieve information in your field and convey information in customer service situations in oral and written English
- you are familiar with the career opportunities in the ICT field and the recruiting process
- you have improved your learning and work skills in order to maintain and develop your language competence in a self-directive way

Content

- the central vocabulary required in the IT-field and business
- giving oral and written information, counseling and describing processes, oral presentation
- developing online communication skills
- recruiting and working life requirements, LinkedIn profile/ Europass CV and a video CV.
- sustainable digital services
- project management

The course implementation is in the Common European Reference Framework level B1/B2/C1.

Location and time

Moodle/ Zoom

Materials

Materials provided in Moodle and internet resources.

Teaching methods

the central vocabulary required in the IT-field and business
- giving oral and written information, counseling and describing processes
- developing online communication skills
- recruiting and working life requirements, presentation skills, updating LinkedIn profile.

The course implementation is in the Common European Reference Framework level B1/B2/C1.

Exam schedules

no exams, course assignments in Moodle.

Completion alternatives

RPL-process to be agreed upon with the course teacher.
Contact kaija.sankila@karelia.fi

Student workload

Online lessons 32h, guided self study (moodle tasks) and independent study 40h.

Evaluation scale

H-5

Assessment methods and criteria

- active participation in classes and continuous show of appropriate communication skills
- Moodle tasks/assignments
- life skills https://www.thebalancemoney.com/life-skills-list-and-examples-4147222

Objective

- you understand the challenges of system concurrency in system design and implementation.
- you understand the differences between a local and a decentralized system in operation, design and implementation.
- you understand the layered model of distributed system communication and the roles of different layers.
- you know the main models underlying the decentralized system (structural, interaction, fault and security models)
- you can design and implement a simple concurrent and decentralized system
- you are able to coordinate the communication of concurrent threads and access to shared resources using commonly used programming platform

Content

Prerequisites: Programming III, or similar skills. Web-programming, or similar skills.

Evaluation scale

H-5

Evaluation scale

H-5

Evaluation scale

H-5

Objective

- you are able to act as an independent developer and a member of a team in an ICT project that is based on an external assignment.
- you are able to evaluate your own and your group's development activities.
- you are familiar with and are able to evaluate and develop agile development methods in the implementation of an ICT project (eg game development, application development or digital business development project)
- you are able to evaluate and further develop the use of tools related to project work (requirements management, version and product management, testing automation)
- you know the importance of quality of activities and results in ICT projects.
- you know and are able to measure and improve quality in the development of project work.
- know and be able to apply automation solutions to support different stages of development work (eg testing, infrastructure management, integration and publication management)
- you deepen your knowledge of the additional competencies related to optional studies and the technology requirements of the project assignment.

Content

- Management and evaluation of agile development activities based on assignments.
- Advanced requirements, product and configuration management.
- Requirements, product and configuration management tools.
- Automation of software and ICT development projects (eg DevOps, IT process Automation).
- Test environments and basics of test process design, automated testing methods and environments.
- Dependency management
- Optional content required on the basis of optional studies and assignments (game programming, application development and digital business, intelligent automation).

Evaluation scale

H-5

Objective

- you know the drivers of the e-commerce business
- you can identify the changes in business processes needed to make digital networks a key part of your business
- you can evaluate the change in customer and marketing when you transform your traditional business to digital and online
- you know the different payment methods and the basics of information security in e-commerce
- identify different e-business value chains
- familiarize yourself with the laws and regulations related to e-commerce
- get to know the different e-commerce implementation options for both SMEs and large companies
- you know how to install and implement an e-commerce environment
- you can configure the features of the e-commerce site to match the business idea
- you know how to evaluate the suitability of an online store in implementing a business idea.
- you know the applications of automation in connection with digital business solutions.
- you are familiar with specific security issues and applications related to digital business solutions.

Content

Digital business transformation; traditional, digital, hybrid.
What is digital business, what does it involve?
Customer service and online marketing
Electronic payment
Ecommerce Security
Laws and regulations related to trade
Value chains and logistics (brick-and-mortar vs. online store)
Case: digital marketplace business plan
E-commerce implementation options, e-commerce environments and platforms (on-premise cloud services, hybrids)
Installation, commissioning and configuration of a digital e-commerce site
Evaluation and development of the suitability of the implemented e-commerce site for its business idea.
Augmented and virtual reality solutions to support digital business
Artificial intelligence and automation in digital business
Blockchain technologies to support digital business (e.g. virtual currencies and payments, smart contracts, shared ledgers)
Specific technical issues for e-commerce security.

Evaluation scale

H-5

Assessment criteria, fail (0)

Failed or cancelled course: 0

Objective

Student
-understands how information is presented, stored and processed using computers.
-knows what types of problems can be solved by means of computing.
-knows what kind of things are being researched and developed in computer science.
-understands the responsibility and risks of IT professional.
-knows different professional roles for computer scientists.

Content

Information, how it is presented and stored, as well as automatization of information processing. Programming, programming languages, and how programming languages are used to create programs and software. Modelling of information, databases and how information is managed. Limits of computation. Development, design and intelligent systems. Roles and responsibilities of Information Technology professionals.

Evaluation scale

H-5

Objective

The student understands the basics of data security, knows the used terminology in data security, can analyze security threats, understands how they can be prevented, and is able to assess the reliability and feasibility of different data security methods in various use cases.

Content

The course covers, for example, the following topics: Introduction to data security, terminology in data security, cryptography, authentication, access control, database security, cloud security, malicious software, denial-of-service attacks, firewalls, intrusion detection and prevention systems, network security, wireless security, IoT device security, physical security, organization's security policy, and security related regulations and legislation.

Evaluation scale

H-5

Objective

You
- become familiar with the basic concepts, advantages and challenges of the integration of different information systems, data resources, services and processes, as well as typical applications and the benefits of integration solutions.
- know and are able to apply different ways of planning and implementing integration.
- know and are able to apply solutions related to the implementation of integration (tools, platforms).
- are able to evaluate the suitability of different ways of planning and implementing integration in terms of application and needs.
- know the principles of the importance and application of connectivity and different interfaces (low and high level interfaces, protocols, APIs, connectors) in the implementation of integration solutions.
- understand the importance of automation in connection with integration solutions.
- are able to apply solutions that utilize automation in the implementation of integrations.
- understand the importance of data security in integration solutions.
- are able to apply security-enhancing solutions in the implementation of integrations.

Content

Basics of integration; system, process and service integration. The benefits and challenges of integration.
Design, implementation and evaluation of integration solutions.
Topologies; point-to-point, hub-and-spokes, distributed models.
Integration platforms; on-premises, cloud services, hybrid.
Interfaces, protocols, APIs (files, databases, network services, messaging, adapters and connectors, smart connectors).
Integration models and architectures.
Data processing and transformation; pass-through, broadcast distribution, routing routing, split and aggregate message processing.
Service intelligence, micro services.
Automation solutions to support integration.
Security & Integration Solutions.

Evaluation scale

H-5

Evaluation scale

H-5

Objective

Agile Methods and Development Project
- you are able to act as a developer in an ICT project based on an assignment.
- you know and are able to apply agile development methods in the implementation of an ICT project (eg in a game or application development project or in a digital business development project).
- you are able to plan and implement an ICT development project using agile development methods.
- you are able to evaluate and improve your project work skills (division of the project into iterations, scheduling and planning, presentation of progress and results / Demos and follow-up).
- know and be able to apply advanced tools related to project work (e.g. requirements management, version and product management, testing).
- you are able to integrate the different contents of the previous studies in project work.
- deepen your knowledge of the additional competencies you have chosen and the technology requirements of the project assignment.

Customer Support and Training
- You know the importance of user support and deployment training for end users.
- you know the criteria for learning and the principles of adult education, you can use different teaching aids and guide and evaluate learning
- you know how to receive and give feedback
- you are able to evaluate the suitability of different learning materials and tasks for different educational situations and training groups
- you know how to plan and implement a training event

Content

Agile Methods and Development Project
- Basics of Agile Development; concepts, objectives, life cycle models, process phases and differences compared to traditional methods.
- Project organization and planning of development cycles using an agile development method
- Project implementation using an agile method.
- Development tools supporting agile development methods (espec. in game programming, software development or in digital business solutions).
- Requirements management.
- Product and version control to support agile development.
- Testing to support agile development.
- Optional content based on orientations and assignments (game programming, application development, and digital business).

Customer Support and End-User Training
- Communication and interaction in user support and training situations
- Instructor skills
- Receiving and giving feedback
- Selection of learning materials for different educational situations
- Planning and implementing a learning session.

Evaluation scale

H-5

Objective

After completing the course, student can design and implement a simple program with graphical user-interface with programming language.

Content

Essential components of graphical user-interface, event-driven programming, record type, storing and reading data, error handling with exceptions, file handling.

Evaluation scale

H-5

Objective

You can theoretically model a variety of computational problems that are restricted to fundamental methods of describing and validating data in practical software work (that is, lexical analysis and parsing): Finite automata and regular languages, pushdown automata and context free languages.

Content

Grasp of the basics of theoretical computer science.
Obtaining abilities in using techniques to generate and recognize regular languages and context-free languages.
Understanding of the basics of computability and decidability, the Church-Turing thesis and their fundamental justifications and implications.

Evaluation scale

H-5

Objective

As a Student, you
- know and are able to apply and evaluate the importance of modern information systems in supporting business and processes
- know and are able to apply and evaluate the implementation and use of information systems in support of typical value chains of organizations.
- know and are able to apply and evaluate different ways of implementing infrastructures: physical and virtualized solutions, on-premises, cloud services or hybrids.
- understand and are able to evaluate the importance of information systems and data warehouses from the perspective of information management, business information and decision support
- get acquainted with e.g. enterprise resource planning, ecommerce, logistics, financial management, personnel management, product development information systems and the basics of office automation and workgroup applications
- are able to apply the principles of implementation of different information systems of companies
- perform in practice the installation and commissioning of any information system / service discussed in the course
- understand the importance of information security in infrastructure management.
- understand the importance of automation in infrastructure management.

Content

Business needs and applications for IT solutions:
- business and technology
- solutions, benefits and challenges.

Utilization of information technology for business needs:
- business processes, information management, applications, infrastructures.

Infrastructure implementation options;
- on-premises solutions, cloud services, hybrid solutions.
- virtualization
- Opportunities for HPC high-performance computing and quantum computing services.

Networks, devices, services.

Fundamentals of data management, automation and integration platforms.

Enterprise resource management.

Enterprise and information system architectures

Specific issues and solutions for information security in business infrastructures.

Information management and governance.

Evaluation scale

H-5

Objective

You know the basics of process thinking and the strategy of organizations and operations at the level of business processes.
You are able to identify the differences, advantages and challenges of a function-centric and process-based organization.
You are able to identify, model and evaluate the operational processes typical of organizations.
You are able to model business processes and knows the most common ways of describing processes.
You are able to use case tool (eg Microsoft Visio) to model business processes.
You know the basics of measuring and evaluating processes both in theory and in practice.
You perform a process analysis of the processes of an organization.
You become acquainted with the relationship between business processes and organizational IT solutions and the typical challenges and areas for development.
You understand the importance of automation in the development of business processes.
You are able to use case tool to automate business processes

Content

Process thinking, process identification, process modeling
Process modeling levels and standards / notations (flowcharts, BPMN, descriptive, executable)
Process measurement, evaluation and improvement, PDCA / DMAIC cycle, continuous improvement
Process automation (BPEL, RPA), intelligent automation, tools

Evaluation scale

H-5

Objective

You understand basic trigonometry
You are able to apply basic trigonometry in programming
You understand the concept of a vector and vector calculus
You are write an implementation of a vector and vector operations in a program
You are able to write programs that use vectors in calculations
You understand the concept of a matrix and matrix calculus
You are able to write an implementation of a matrix and matrix operations in a program
You are able to write programs that use matrices in calculations
You are able to write programs that use matrices and vectors in calculations
You understand the matrix transformations
You are able to write programs that use matrix transformatins in calculations
You are able to describe your program implementation in mathematically

Content

Trigonometry:
- Solving a triangle, sine and cosine laws
- Extending an angle to a unit circle
- Angle units

Vectors:
- Basic concepts
- Vector calculus
- Dot product
- Cross product
- Scalar and vector projections

Matrices
- Basic concepts
- Matrix calculus
- Transpose
- Determinant
- Inverse matrix

Matrix transformations:
- Translation, rotation, scaling

Implementation of concepts with a programming language

Evaluation scale

H-5

Further information

Potential integration with C++ programming, combined assignments but with different content subject matter.

Objective

Having completed the course you:
- know the essential mobile application architectures
- understand the differences between native, hybrid and web-based mobile applications
- are able to design and implement mobile applications, which exploit builtin physical features in device and use software services through APIs

Content

Mobile application development environments
Programming languages for mobile appliances
Using sensors and actuators in mobile application
Using cloud-based software services through APIs

Evaluation scale

H-5

Evaluation scale

Approved/Rejected

Evaluation scale

Approved/Rejected

Evaluation scale

Approved/Rejected

Evaluation scale

Approved/Rejected

Evaluation scale

Approved/Rejected

Evaluation scale

Approved/Rejected

Evaluation scale

Approved/Rejected

Evaluation scale

Approved/Rejected

Evaluation scale

Approved/Rejected

Evaluation scale

Approved/Rejected

Objective

After completing the course, student
- understands the importance of documentation in software projects
- is able to produce a project card
- is able to keep record of your use of time in a software project
- is able to produce a final report of a software project, and is able to arrange a quality inspection session
- is familiar with meeting practices in a project
- is able to keep minutes in a project meeting or an inspection
- is able to arrange project meetings or inspections
- knows ways of defining and describing user requirements

Content

Theory (2 ECTS) and project work (3 ECTS).

- Requirements engineering
- Life cycle models in software engineering
- Managing software projects
- Introduction to concepts and problems in software engineering
- Documentation
- In the project: project card – estimated project schedule, tracking the project schedule – keeping track of own time use, implementation, final report, inspections and meeting practices, architectural design will be given

Evaluation scale

H-5

Objective

After completing the course, student can solve simple problems and implement a prblem solving program with programming language. The student knows the basic parts of programming process, and also the basic concepts of programming and basic programming structures (sequence, condition, selection). The student knows when to use which structure and knows how to use them with programming language. The student is able to inspect programs, which others have made, can chance them and test them. The student is able to find, identify and fix programming errors with debugger.

Content

Introduction to programming: inspection of programs, basic programming structures (sequence, condition, selection) and their use, input, output and use of fiels, variables, arrays and their use,strings, modularity and functions and debugging.

Evaluation scale

H-5

Objective

This course deepens the subjects of previous programming courses and introduces to programming with Java programming language. After the course students can use object-oriented programming techniques and concepts and also library classes.

Content

- object-oriented paradigm and modelling
- classes and instances
- data encapsulation
- static and dynamic attributes and methods
- accessors and mutators
- inheritance
- polymorphism
- abstract classes
- interfaces
- aggregation and composition
- threads
- exceptions

Evaluation scale

H-5

Objective

You are familiar with the key developments in the history of artificial intelligence in games.
You recognize different subareas of game AI and their key applications in different game genres.
You understand the basic principles of steering behaviors and are able to apply them as part of a game created with a game engine.
You understand the basic principles of dialogue systems and are able to apply them as part of a game created with a game engine.
You understand the basic principles of pathfinding and know how to utilize it as part of a game created with a game engine.
You understand the basic principles of non-player character reasoning and are able to apply them as part of a game created with a game engine.
You are able to utilize game AI visualization and debugging methods provided by a game engine.
You understand the operating principles of utility-based NPC reasoning and are able to apply them as part of a game created with a game engine.
You are able to utilize perception and environmental data query tools provided by a game engine.

Content

Overview of history of game AI and its current applications.
Steering behaviors.
Dialogue systems.
Pathfinding.
Techniques for implementing NPC reasoning.
Utilization of AI components provided by a game engine.
Carrying out a game project that involves AI elements.

Evaluation scale

H-5

Objective

You know what a rendering pipeline is
You understand meaning of rendering pipeline in rendering graphics
You understand how a 3D modeling software and its features are used in visual modeling of game objects
You know what shader programs are
You understand how shader programs are created using tools provided by game engine
You are able to use 3D modeling tool in creating your own 3D models
You are able to design 3D models using polygons
You are able to design 3D models using continuous forms
You are able to apply mesh modifiers in to your own 3D models
You are able to use texturing in your own 3D models
You are able to animate your own 3D models
You are able to construct shader programs by using tools provided by game engine

You are able to combine graphical assets created with different tools into a single game object
You understand what modeling techniques are applicable in which working stage
You are able to evaluate and choose different modeling techniques to different working stages with reasoning
You are able to evaluate needed time for modeling with reasoning
You are able to design and create visually appealing game objects using shader programs and modeling techniques

Content

Basic concepts in game graphics
Shader programming in a game engine
Basic shapes and modeling
Polygon-based modeling
Modeling using continuous forms
Textures and texturing
Animation

Teaching methods

Prerequisites: General Application Developer Skills courses (Data Security in Software Development, Application Programming Interfaces, Software Architecture Patterns)

Evaluation scale

H-5

Further information

Prerequisities: programming basic studies

Objective

You can use a game engine to implement a game project.
You know the key GUI elements of games and know how to implement them with the help of a game engine.
You are able to recognize the different assets used in game development and know how to utilize them in the game engine.
You can implement a game character using a game engine.
You can program visual scripting functionality for a simple game.
You are able to recognize the different main game genres of the games and their key sub-genres.
You are able to recognize the more specific sub-roles involved in the game programmer role.
You can process audio assets programmatically in a game engine.
You are able to recognize the different target platforms for games.
You have an overview of the basic principles of game design.
You can create menu and game levels using the game engine.
You know different stages of the game development process and how they are related to each other.
You can take advantage of version control system to preserve and back up your game project.
You can create game objects from ready-made assets in the game engine and from assets imported into the game engine.
You know how to create and use materials with a game engine.

Content

Different subareas of game development.
Carrying out a game project.
Visual scripting.
Utilizing game assets through programming.
Working with game engine.

Teaching methods

Prerequisites: General Application Developer Skills courses (Data Security in Software Development, Application Programming Interfaces, Software Architecture Patterns)

Evaluation scale

H-5

Objective

- You understand the need for cloud environments
- You understand the principle of cloud services and the available core services
- You understand the issues related to the information security of cloud services
- You understand the pricing of cloud services
- You know how to implement some applications that utilize the cloud service's core services

Content

- An overview of different cloud service providers
- On-premises, Iaas, Paas and Saas terminologies
- Basics of the Microsoft Azure environment
- Microsoft Azure core services
- Microsoft Azure information security
- Microsoft Azure pricing models

Evaluation scale

H-5

Objective

Having completed this course
- you have such oral and written language skills that you are able to work in international contexts of the ICT field
- you can write a competitive application and can attend a job interview in English
- you are able to give a professional presentation
- you know the prerequisites for successful online communication, team work and interaction
- you know the principles of academic writing and know how to write a research abstract

Content

Texts and assignments related to the ICT field.
Vocabulary related to the Internet and topical news and trends in the ICT field.
Oral and written communication (meetings and negotiations, business correspondence, reporting/documentation, application).
General working life competences, simulation of a job interview.
Writing an abstract.
Sustainable digital servies

The course implementation is in the Common European Reference Framework level B2/C1.

Location and time

Moodle / Zoom

Materials

Moodle materials and internet resources, AI applications

Teaching methods

- weekly online meetings, which require a microphone and camera to practice online interaction.
- The course implementation is in the Common European Reference Framework level B2/C1.

Employer connections

no exams, course assignments in Moodle.

Completion alternatives

RPL-process to be agreed upon with the course teacher.
Contact kaija.sankila@karelia.fi
At the beginning of September, before the start of the course, all enrolled students will be informed about the AHOT information session.

Student workload

Attending online classes ca 26h, guided self study (Moodle tasks/assignments) and independent study 40h.
For language courses, active participation and 80% attendance is recommended.

Evaluation scale

H-5

Assessment methods and criteria

- active participation in classes and continuous show of appropriate communication skills
- Moodle tasks/assignments
- life skills https://www.thebalancemoney.com/life-skills-list-and-examples-4147222

Objective

As a Student, you
- understand the basics, general concepts, objectives, benefits and challenges of process automation.
- know different applications of automation and are able to evaluate suitable implementation methods and techniques.
- understand and are able to evaluate different aspects of process automation (tasks, workflows, processes) and size classes (task-specific and holistic, assisted, non-assisted, autonomous and intelligent automation).
- are able to implement process automation with automation tools.
- are familiar with the limitations of deterministic automation and how to solve them by means of automation utilizing machine learning.
- are able to measure and evaluate the performance and functionality of the automation solutions of the implemented processes.
- are able to identify development targets for process automation and produce development measures that improve automation.
- understand the importance of data security in process automation solutions.
- are able to apply solutions that improve information security in process automation.

Content

Process automation; business processes, IT automation, application development automation, other application targets.
Robotic process automation.
Task Automation
Workflow Automation
Process Automation
Automation platforms; on-premises, cloud computing services and hybrid.
Orchestration.
Hyperautomation
Measurement of automation processes, KPIs, evaluation and development.
Basics of data-driven automation utilizing machine learning.
Mining of tasks and processes (task Mining, data Mining)
Automation security.

Evaluation scale

H-5

Objective

After completing the study unit, you are able to write coherent texts with an appropriate content and grammatically correct language. You can apply thesis instructions to your own texts. You are able to search for the information you need and evaluate the reliability of sources. You can also assess your own communication skills.

Content

The study unit includes:
- principles of university level writing
- document standard and reporting according to thesis instructions
- summarising, citations, and references
- information retrieval and source criticism
- language planning.

Evaluation scale

H-5

Evaluation scale

H-5

Objective

You
- are capable of speaking Swedish in everyday and working life situations
- can tell about your education and your job
- can write your CV, emails and other working life messages in Swedish in an appropriate style and are able to communicate in oral working life situations in Swedish
- are aware of cultural differences between Finland and Sweden
- know your own learning style and you can use different learning strategies
- can use language programs, dictionaries and other sources in Swedish studies
- are able to read professional texts in Swedish using dictionaries

Content

Learning strategies, information acquisition, telling about yourself, your education and your job, small talk, customer service, telephone situations, emails business culture in Sweden.

Teaching methods

The student is capable of speaking Swedish in everyday and working life situations. He can tell about his education and his job. He can write emails and other working life messages in Swedish in an appropriate style and is able to communicate in oral working life situations in Swedish. He is aware of cultural differencies between Finland and Sweden. He knows his own learning style and he can use different learning strategies. He can use language programs, dictionaries and other sources in Swedish studies. He is able to read professional texts in Swedish using dictionaries.
Contact lessons/deos, written and oral exercises, oral presentation, pair work/ teamwork

Evaluation scale

H-5

Evaluation scale

H-5

Objective

- You understand what is meant by good application development practices
- You know how to apply good application development practices in your work
- You can take advantage of general design patterns
- Know the methods to identify and report qualitative anomalies in the source code or potential security threats.

Content

Programming Principles
Code refactoring
Code metrics
Code reviews and auditing

Evaluation scale

H-5

Objective

You are able to operate in your field in Swedish in the Nordic countries. You understand the importance of language skills as a part of your professional skills. You are able to communicate in oral and written working life communication situations in Swedish. You improve your skills in professional vocabulary, understand professional texts in your field, and are able to write written reports and give oral presentations in Swedish.

Content

- working life communications situations
- telling about work and work experience
- company and project presentation
- professional vocabulary
- meetings
- trade fair
- press release

Teaching methods

The student is able to operate in his field in Swedish in the Nordic countries. He understands the importance of language skills as a part of his professional skills. He is able to communicate in oral and written working life communication situations in Swedish. He improves his skills in professional vocabulary, understands professional texts in his field and is able to write written documents and give oral presentations in Swedish.
Contact lessons, written and oral exercises

Evaluation scale

H-5

Objective

You understand responsibilities of all components in a gameplay framework
You understand how structures in a game engine can be extended by using programming
You understand how new scripting components can be created into a game engine by using a programming language
You understand how game objects are controlled by using smart pointers
You understand how game state saving and loading is implemented
You understand how game information can be connected to different databases
You understand how information is transferred from a game into different databases
You understand the advantages in utilizing continous integration tools
You understand how a build is created from a game and how it is marked with identifiers

You are able to create your own game by following gameplay framework guidelines
You are able to extend structures of a game engine to support your own project
You are able to create easy-to-use scripting components in your own project
You are able to control game objects in your own project by using smart pointers
You are able to adapt saving and loading logic in your own game project
You are able to connect your own game project into a database
You are able to transfer data from your own game project into databases
You are able to utilize API calls in transferring game data into databases
You are able to utilize continuous integration tool in creating game builds

You are able to evaluate and give reasoning how game logic in your own project must be split using gameplay framework
You are able to evaluate and give reasoning how you to utilize smart pointers in your own game project
You are able to create easy-to-use scripting components in your game own project
You are able to design a data saving and loading logic in your game project and give reasoning for it
You are able to design a game build construction script into continuous integration tool for you own game project

Content

Gameplay framework
Component programming
Utilizing smart pointers
Saving and loading game information
Using databases in games
Adapting tools of continous integration in game development

Teaching methods

Contains pre-recorded lectures, online sessions, course topic-related exercises, that prepare for skills demonstration at the end of course. Excercises will be returned to learing environment by latest at the end of course. You receive feedback from your submissions. Skills demonstartion is possible to do without course topic-related excercises, if skills are already obtained.

Exam schedules

Course does not have final exam, and it is replaced by skills demonstration. First skills demonstration must be returned by the end for course. Course will have two re-examinations, and the required skills demonstration in each re-examination must be returned by the end of re-examination time window. Enrolling to re-examinations as instructed on course workspace.

Student workload

Total study time 133h

Evaluation scale

H-5

Assessment methods and criteria

Skills demonstration is evaluated using each learning objective defined for this course. Each learning objective yields a score between 0 and 5, according to skills demonstration. Total score from learning objectives defines final course grade. Learning objectives are graded using three levels:

Entry level (1):

You know and understand what contents in learning objectives are all about, and how they work.

Advanced level(3):

You know and understand what contents in learning objectives are all about, and how they work.
You are able to apply contents in learning objectives into at least on different case, in respect to materials presented in learning environment.

Professional level (5):

You know and understand what contents in learning objectives are all about, and how they work.
You are able to create at least one completely different solution using content in learning objectives, or apply them into least one completely different situation, in respect to materials presented in learning environment.
You are able to evaluate and give reasoning why your applied method or solution to a new situation is applicable and worth doing.


Reaching learning objectives and their levels must be presented using method defined in learning environment, using either video and voice, or in writing.

Assessment criteria, fail (0)

Total score from learning objectives is lower than 20% of maximum.

Assessment criteria, satisfactory (1-2)

Total score from learning objectives is higher than 20% of maximum.

Assessment criteria, good (3-4)

Total score from learning objectives is higher than 55% of maximum.

Assessment criteria, excellent (5)

Total score from learning objectives is over 90% of maximum.

Objective

Artificial Intelligence
- You know different aspects of artificial intelligence and their intermediate applications.
- You know basic principles of machine and deep learning and choose the applications for them.

Robotics and Automation
- You know the basics and key concepts of automation and robotics.
- You know the basics of physical, software and virtual as well as cyber-physical automation solutions for different applications and implementations.
- You can identify and evaluate the benefits, challenges, opportunities and risks of automation.
- You are familiar with software automation and software robotics as area of automation.
- You know the differences between different levels of software robotics solutions (simple assisted, wider unassisted, intelligent and cognitive automation) and key design and implementation principles of them.
- You can implement different levels of automation solutions using software robotics
- You can evaluate the functionality and efficiency of automation solutions at a basic level

Mathematics of Artificial Intelligence, Automation and Robotics
- You understand the principles and key concepts of the quadratic equations.
- You can solve and apply quadratic equations.
- Understand the basics of vectors, basic concepts, calculations and their significance in different applications.
- You understand the basics of matrices, basic concepts, calculations and their significance in different applications.
- Understand the basics of functions, basic concepts, calculations and their significance in different applications.
- You know the applications of mathematics applied in artificial intelligence

Course Project: Applications of Artificial Intelligence, Automation and Robotics
- You get familiar with some area of artificial intelligence, automation, robotics or a combination of them.
- You are able to produce an general overview (level 1), either a more detailed explanation or an application experiment (level 3) or a wider research combined with application experiment (level 5) of the selected entity.

Content

Artificial Intelligence
- Symbolic artificial intelligence (GOFAI)
- Inference systems
- The main aspects of artificial intelligence
- Introduction to machine learning
- Introduction to in-depth learning

Robotics and Automation
- Fundamentals of Automation and Robotics: basics, history, objectives, benefits and challenges, risks and opportunities, future development.
- Physical and simulated/virtual Robotics and Automation.
- Cyber-physical solutions.
- Software Automation.
- Robotic Process Automation (RPA)
- Basics of Intelligent and Cognitive Automation (IA, CA)

Mathematics in Artificial Intelligence, Automation and Robotics
- 2nd degree/quadratic equations; solving and applying.
- Trigonometry; basics, concepts, meaning, different applications.
- Vectors; basics, concepts, basic calculations, utilization in different applications.
- Matrices; basics, concepts, basic calculations, utilization in different applications.
- Functions; basics, concepts, meaning, different applications.
- Applications of mathematics in artificial intelligence.

Course project
Review (level 1), research or prototype (level 3) or research-combined prototype (level 5) from specific area of interest in releated to Artificial Intelligence, Automation or Robotics (one or more areas covered/combined).

Evaluation scale

H-5

Evaluation scale

H-5

Evaluation scale

H-5

Evaluation scale

H-5

Evaluation scale

H-5

Objective

- you know the principles of DBMS, base functions and purposes
- you know different kind of DBMSs
- you know how to implement drawing of database based on requirements
- you understand the differences between different data models and you know how to choose the right database for your data model
- you know how to design and implement database correctly.
- you know how to use database as a part of system
- you know how to use different kind of database systems

Content

- SQL-language basics (queries, DML- and DDL -commands)
- normalizing
- data models
- DBMSs, especially for PostgreSQL, MySQL/MariaDB, Oracle, MS SQL Server
- going through small database application development

Evaluation scale

H-5

Objective

-you are able to optimize the performance of a relational database according to different uses.
-you are able to select and implement a database according to the need to use the correct database model (relational model, object model, NoSQL).
-you understand the basic principles of data analytics.
-you understand different database virtualization solutions.
-you understand the concept of data warehouse.
-you can implement subroutines, functions, triggers, scheduled tasks, backup in a relational database.
-you understand the importance of data security in a database solution.

Content

-indexing the relational database at a more detailed level.
-relational databases: subroutines, functions, triggers, scheduled tasks.
-some examples of database virtualization solutions.
-data analytics examples.
-data security in practice in relational databases.

Evaluation scale

H-5

Objective

Student:
- knows the fundamental principles and structure of computer systems, including components, responsibilties and tasks of central processing unit
- recognizes the development of computing devices
- is aware of the the basic principles of operating systems, and the current development trends
- recognizes different end user devices and their functionality
- knows the basic principles and structture of IT-infrastructure

Content

1 Introduction
• Numeral systems
• Boolean expressions
• Basic logical operations; definitions in Finnish and English
• Simplification of logical sentences
• Symbols used for logical operations
• Digital circuits
2. Computer systems
• Key components of your computer
• Computer operation
• memories
• Parallelism
3. Operating system and virtualization
• Operating system types, structure, and functions
4. UNIX / LINUX
• Basics and shell programming
5. IT infrastructure
• Network topologies
• Telecommunications and protocols
• Cloud services
6. Self-study assignment on the chosen topic

Evaluation scale

H-5

Objective

- you understand the importance of algorithms and can analyse asymptotic time complexity of simple algorithms.
- you know how to select and reason about a correct data structure (abstract data type) for an application and use the chosen structure efficiently.
- you know how to use efficiently the standard library of programming language.
- you know and you can implement most common abstract data types, list, tree, and set.
- you know how to search, select, and apply a proper algorithm for given problem.
- you know the most common data structures.
- you know how data structures can be implemented in different programming languages.
- you know the principle of recursion and you can implement a recursive algorithm.

Content

- Algorithms and running time analysis.
- Abstract data types.
- Implementing data structures.
- Searching and sorting algorithms.
- Simple recursive algorithms.

Evaluation scale

H-5

Further information

Prerequisites: Programming I and III, or similar skills. Recommended Programming II, or similar skills.

Objective

- you know how to analyse asymptotic time complexity of algorithms, including recursive algorithms. You are able to measure and extrapolate running real time of programs.
- you understand basic concepts of graphs, graph properties and graphs as abstract data types.
- you understand elementary graph algorithms and you are able to design, implement, and analyse simple graph algorithms.
- you know elementary algorithm strategies and you are able to apply those.
- you know how to use mass storage efficiently and you are able to analyse running time of algorithms using mass storage.

Content

- Algorithms and running time analysis.
- Experimental time complexity analysis.
- Graphs, graph algorithms, and applying graph algorithms.
- Using mass storage efficiently.

Evaluation scale

H-5

Further information

Prerequisites : Data Structures and Algorithms I, or similar skills.

Evaluation scale

H-5

Objective

Having completed the course you:
- You understand the importance of information security in application development
- You know how to assess risks using different information security models
- You know how to prevent threats related to information security
- You know how to implement administrative and technical measures to ensure the confidentiality, integrity and usability of information
- You know how to implement requirements related to information security by utilizing program libraries and components
- You know how to apply the key tools of information security testing

Content

- Information security in different stages of application development
- Symmetric and asymmetric encryption methods
- Hash algorithms
- Digital signing
- Identification and prevention of the most common threats related to information security

Evaluation scale

H-5

Objective

Student
- recognizes research and development activities as part of his professional skills
- know the differences and similarities between basic research, applied research and development work
- acquires basic knowledge of various research and development methods
- knows how to acquire and utilize information based on research and development activities in his own field

Content

1. Research, development and innovation
- basic research, applied research, R&D, development work
- direction of reasoning (induction, deduction, abduction)
- information acquisition, source criticism
- development process (PDCA, DMAIC)
2. Development approaches
- case study
- action research
- service design
- innovation
- anticipation
3. Development methods
- value analysis
- benchmarking
- interview
- scenarios

Location and time

Introductory lessons 16 h, independent studies 64 h.

Teaching methods

The course introduces some development and research methods necessary in Business Information Technology. Each method is accompanied by an introductory lesson and a learning task to be completed independently.

Assessment criteria, approved/failed

All learning tasks must be passed.

Evaluation scale

Approved/Rejected

Assessment methods and criteria

The 8 learning tasks of the course are evaluated on a pass/fail scale.

Objective

You understand how client-server-model works in online services
You understand how server instance is created from a game
You understand how server instance installed as cloud service
You understand how a player can be connected to a multiplayer session in a game server
You understand how player profiles are created into a multiplayer session using a cloud service
You understand the requirements of multiplayer game session for distributing game logic
You understand how online multiplayer game state is synchronized
You understand how online multiplayer session event callbacks are used
You understand how RPCs are made in online multiplayer games
You understand how RPC execution is controlled in online multiplayer games
You understand what techniques can be used to hide network latency
You understand how anti-cheating can be implemented in an online multiplayer game
You are able to create a server instance of a game
You are able to install a server instance as a cloud service
You are able to connect clients to a server instance
You are able to create player profiles into a cloud service and connect them as part of a game
You are able to utilize a game engine to create your own multiplayer game
You are able to attach logic into game session events
You are able to synchronize a game state between different devices using means provided by a game engine
You are able to make RPCs in your own online multiplayer game
You are able to define execution location for RPCs in an online multiplayer game
You are able to adapt an algorithm to hide network latency in an online game
You are able to adapt an anti-cheat mechanism in your own online multiplayer game
You are able to give reasoning to the design and implementation of your own multiplayer game
You are able to create new logic into an online multiplayer game session
You are able to evaluate the practical implementation your online multiplayer game
You are able to create and install your own online multiplayer game project into a server for testing
You are able to create an anti-cheat logic into your own game project

Content

Concepts of multiplayer and online games
Game servers and clients in cloud services
Game state synchronization
Event handling in online games
Hiding network latency
Implementing anti-cheating features

Teaching methods

Contains pre-recorded lectures, online sessions, course topic-related exercises, that prepare for skills demonstration at the end of course. Excercises will be returned to learing environment by latest at the end of course. You receive feedback from your submissions. Skills demonstartion is possible to do without course topic-related excercises, if skills are already obtained.

Exam schedules

Course does not have final exam, and it is replaced by skills demonstration. First skills demonstration must be returned by the end for course. Course will have two re-examinations, and the required skills demonstration in each re-examination must be returned by the end of re-examination time window. Enrolling to re-examinations as instructed on course workspace.

Student workload

Total study time 133h

Evaluation scale

H-5

Assessment methods and criteria

Skills demonstration is evaluated using each learning objective defined for this course. Each learning objective yields a score between 0 and 5, according to skills demonstration. Total score from learning objectives defines final course grade. Learning objectives are graded using three levels:

Entry level (1):

You know and understand what contents in learning objectives are all about, and how they work.

Advanced level(3):

You know and understand what contents in learning objectives are all about, and how they work.
You are able to apply contents in learning objectives into at least on different case, in respect to materials presented in learning environment.

Professional level (5)

You know and understand what contents in learning objectives are all about, and how they work.
You are able to create at least one completely different solution using content in learning objectives, or apply them into least one completely different situation, in respect to materials presented in learning environment.
You are able to evaluate and give reasoning why your applied method or solution to a new situation is applicable and worth doing.


Reaching learning objectives and their levels must be presented using method defined in learning environment, using either video and voice, or in writing.

Assessment criteria, fail (0)

Total score from learning objectives is lower than 20% of maximum.

Assessment criteria, satisfactory (1-2)

Total score from learning objectives is higher than 20% of maximum.

Assessment criteria, good (3-4)

Total score from learning objectives is higher than 55% of maximum.

Assessment criteria, excellent (5)

Total score from learning objectives is over 90% of maximum.

Objective

Student knows how to consider the user when creating specification for a user interface. Student is able to design and implement a web user interface using a given implementation framework. Student recognizes individual differences of humans when they are using the interface. Student can test and analyze usability of the interface she has created. Student is familiar with interface types of ubiquitous computing and knows how to utilize them in human-computer interaction.

Content

Familiarizing oneself with web applications’ different user interfaces. Considering different user groups as a part of user interface design. Recognizing different types of ubiquitous computing interfaces. Taking usability into consideration when designing web user interfaces. Learning to utilize implementation framework when creating web user interfaces. Creating a web user interface with a given implementation framework. Testing and analysis of the created web user interface.

Location and time

Online course

Materials

Course material and additional material presented there.

Teaching methods

Tasks independently
- theme-specific tasks
- a website project to be published

Employer connections

-

Exam schedules

-

International connections

-

Completion alternatives

-

Student workload

ca 26,7 h/ 1 ects

Further information

Prerequisites: Human and interactive technology course or similar knowledge and HTML/CSS skills

Evaluation scale

H-5

Assessment methods and criteria

will be presented at the opening lecture of the course

Qualifications

Human Factors of Interactive Technology course or equivalent knowledge and HTML/CSS -skills

Objective

-you know how to implement browser oriented user interfaces with HTML and CSS -languages.
-you know how to implement event handling to browser oriented client application (Javascript, DOM).
-you know how to use Javascript -programming language.
-you know how to call server api.
-you understand the importance of user-centric design and accessibility requirements in web programming.

Content

HTML5 and CSS
JavaScript basics
Use of CSS- and JavaScript libraries
Use of Server-api

Evaluation scale

H-5

Objective

-you understand the principles of the HTTP protocol.
-you knows how to design and implement web applications using JavaScript libraries.
-you have deep understanding and skills in implementing Full Stack applications and you are able to use user interface libraries.

Content

During the course, your web programming skills will be deepened using modern libraries extensively.

Evaluation scale

H-5

Evaluation scale

H-5

Objective

You will know the basic principles, implementation methods, advantages and possibilities of smart environments, services and other intelligent solutions, as well as examples of application targets.
You know the importance of data and the different roles behind smart and intelligent solutions
You can collect data that can be used to implement smart environments.
You can evaluate the quality and suitability of the collected data in the implementation of intelligent solutions.
You know the principles of the importance, role and application of different aspects of machine learning in enabling the implementation of intelligent solutions.
You know and know how to apply the most typical technologies in the implementation of intelligent solutions (eg advanced Internet of Things technologies, digital twins, intelligent edge computing, intelligent automation and robotics)
You know the importance of integration solutions and APIs in intelligent solutions.
You can apply integration solutions and APIs that utilize intelligent solutions.
You know, know how to model and evaluate the architectures of smart environments and other intelligent solutions.
You are familiar with different examples and special cases of smart environments and other intelligent solutions.
You get familiar and be able evaluate risks of cyber-security in intelligent solutions and are able to design actions how to improve security.
You will know the possibilities of high-power and quantum computing in improving the solution of computational problems in intelligent solutions.

Content

Intelligent environments, services, equipment, materials.
Autonomous systems: robotics and cybernetics, software, cyber-physical solutions.
Smart platforms
- Roles and utilization of data in intelligent solutions.
- Machine learning applications in intelligence.
- APIs, integrations, architectures
- Design and implementation technologies: intelligent robotics, digital twins, intelligent edge computing (Edge AI)
Case studies and special cases
- digital and virtual environments
- self-driving vehicles
- physical, simulated and virtual robots, cyber-physical solutions.
- smart materials
- wearable technology
- smart spaces and environments
- intelligent processes
- artificial intelligence in cyber-security
Cyber-security in intelligent solutions.
Possibilities of high performance and quantum computing in the applications of intelligent solutions.

Evaluation scale

H-5

Objective

You know the basics of intelligent automation; key concepts, applications, objectives, opportunities and threats.
You know and are able to apply the possibilities of data-driven machine and deep learning to enable intelligent automation in different application areas (eg. processes, robotics)
You know and are able to apply various intelligent automation platforms, services and tools.
You know and are able to evaluate the suitability of intelligent automation technologies.
You understand the importance of information security in relation to intelligent automation solutions.
You are able to apply solutions that improve information security in the implementation of intelligent automation.

Content

Fundamentals, concepts, benefits and challenges of intelligent automation, applications and technologies.
Intelligent automation environments and platforms; on-premises, cloud services, hybrid solutions.
Artificial intelligence for use in automation; opportunities for machine learning and in-depth learning, as well as application principles.
Basics of deep learning; neural networks (ANN), deep neural networks (CNN), feedback neural networks (RNN), enhanced learning, GANN networks.
Deep learning and automation; cognitive automation machine vision, natural language processing)
Intelligent automation and the possibilities of quantum machine learning (QML); classical computing vs. quantum computing in automation, quantum-classical hybrids, QaaS quantum computing services in automation.
Intelligent automation security.

Evaluation scale

H-5

Objective

-you are able to optimize the performance of a relational database according to different uses.
-you are able to select and implement a database according to the need to use the correct database model (relational model, object model, NoSQL).
-you understand the basic principles of data analytics.
-you understand different database virtualization solutions.
-you understand the concept of data warehouse.
-you can implement subroutines, functions, triggers, scheduled tasks, backup in a relational database.
-you understand the importance of data security in a database solution.

Content

-indexing the relational database at a more detailed level.
-relational databases: subroutines, functions, triggers, scheduled tasks.
-some examples of database virtualization solutions.
-data analytics examples.
-data security in practice in relational databases.

Evaluation scale

H-5

Objective

After completing the course, student
- understands the importance of documentation in software projects
- is able to produce a project card
- is able to keep record of your use of time in a software project
- is able to produce a final report of a software project, and is able to arrange a quality inspection session
- is familiar with meeting practices in a project
- is able to keep minutes in a project meeting or an inspection
- is able to arrange project meetings or inspections
- knows ways of defining and describing user requirements

Content

Theory (2 ECTS) and project work (3 ECTS).

- Requirements engineering
- Life cycle models in software engineering
- Managing software projects
- Introduction to concepts and problems in software engineering
- Documentation
- In the project: project card – estimated project schedule, tracking the project schedule – keeping track of own time use, implementation, final report, inspections and meeting practices, architectural design will be given

Evaluation scale

H-5

Objective

- you understand the challenges of system concurrency in system design and implementation.
- you understand the differences between a local and a decentralized system in operation, design and implementation.
- you understand the layered model of distributed system communication and the roles of different layers.
- you know the main models underlying the decentralized system (structural, interaction, fault and security models)
- you can design and implement a simple concurrent and decentralized system
- you are able to coordinate the communication of concurrent threads and access to shared resources using commonly used programming platform

Content

Prerequisites: Programming III, or similar skills. Web-programming, or similar skills.

Evaluation scale

H-5

Evaluation scale

H-5