Listing 6 programmes in autumn 2020
The first semester consists of the following courses in business administration:• Strategy and Governance, 7.5 credits• Customer Perspectives and Value-Creating Processes, 7.5 credits• Advanced Accounting and Reporting, 7.5 credits• Corporate Governance, 7.5 creditsThe second semester entails further specialisation in business administration through the following courses:• Auditing, 7.5 credits• Research Methods in Business Administration, 7.5 credits • Master’s Thesis in Auditing and Control, 15 creditsThe programme is structured so that the students acquire knowledge through a combination of advanced specialisation courses of a general character, such as strategy and marketing, and advanced specialisation courses focusing especially on auditing and control.The development within the programme is also ensured through the work placement in semester 1, focusing on corporate ethics. Each course identifies ethical issues that are applied in practice to companies. By establishing this link in different business administration courses and throughout a whole semester, students are enabled to develop an understanding of issues within corporate ethics. Work placements within the programmes in business at Kristianstad University take place in close collaboration with business and industry and public administration. Students may engage in, for example, case studies through analysis of the relevant organisation with the help of business administration tools or field observation aiming to collect data that can be used, together with suitable texts, for independent projects at different levels. The Kristianstad University model for work placements provides for clear interaction between research, education and working life. More information is available in the syllabi for courses including work placements.The final stage in the development of the programme consists of specialised study of research methods in business administration that will be applied in the subsequent degree project, in which the student, supported by supervision, is to identify and investigate a research issue in auditing and control.
The first semester consists of the following courses in business administration:• Strategy and Governance, 7.5 credits• Customer Perspectives and Value-Creating Processes, 7.5 credits• Industrial Marketing/B2B, 7.5 credits• International Business, 7.5 creditsThe second semester entails further specialisation in business administration through the following courses:• Corporate Ethics and Sustainability from a Global Perspective, 7.5 credits• Research Methods in Business Administration, 7.5 credits • Master’s Thesis in International Business and Marketing, 15 creditsThe programme is structured so that the students acquire knowledge through a combination of advanced specialisation courses of a general character, such as Strategy and Governance, and advanced specialisation courses focusing especially on international business and marketing. The development within the programme is also ensured through the work placement in semester 1, focusing on corporate ethics. Each course identifies ethical issues that are applied in practice to companies. By establishing this link in different business administration courses and throughout a whole semester, students are enabled to develop an understanding of issues within corporate ethics. Work placements within the programmes in business at Kristianstad University take place in close collaboration with business and industry and public administration. Students may engage in, for example, case studies through analysis of the relevant organisation with the help of business administration tools or field observation aiming to collect data that can be used, together with suitable texts, for independent projects at different levels. The Kristianstad University model for work placements provides for clear interaction between research, education and working life. More information is available in the syllabi for courses including work placements.The final step consists of the programme is a degree project in which the student, supported by supervision, identifies and investigates a research issue in international business and marketing.
The bachelor programme in computer science focuses on creating opportunities for students to develop broad skills in technologies that support the Internet of Things. The program is structured around five mutually supportive fields of knowledge: computer engineering, mathematics and physics, programming, the Internet of Things and data communication and security. A knowledge-based expression is achieved within each of these five areas of knowledge.Computer EngineeringThis field of knowledge deals with principles relating to the structure and function of computers. In particular, courses focus on microcomputer technology and embedded systems that are important components of the Internet of Things. Microcomputers of different sizes and with different functions are physical components of the Internet of Things. In the courses Introductory Course for Engineers, Programming for Embedded Systems, Computer Engineering and Distributed Embedded Systems, the progression in the field of computer engineering takes place. In particular, the skills in programming of microcomputers is developed through this progression.Mathematics and PhysicsMathematics forms the theoretical basis of applied teaching whereas physics provides a basic physical understanding of our environment and how computers can physically communicate with this environment. The courses in mathematics are Mathematics for Engineers, Calculus and Algebra, and Applied Mathematics and Statistics. The courses deal with mathematics relevant to the understanding of technologies related to the Internet of Things. In particular, the knowledge of discrete mathematics, calculus, algebra and transform theory is taken into account. Sensor Technology for Embedded Systems deals with different electrical components and their function and how microcomputers can communicate with their physical environment.ProgrammingWithin this area of knowledge, the knowledge about how computers are managed, and how modern and relevant applications are created through a variety of programming tasks and projects is acquired. These applications can be seen as software components within the networks that make up the Internet of Things. A progression is achieved through Fundamental Programming, Object Oriented Programming, Algorithms and Data Structures, as well as Development for Mobile Platforms. Students will be able to develop and deepen their skills in object-oriented programming in Java.Internet of ThingsA number of courses deal with how microcomputer-based devices work, how they communicate with their environment, and how computer units can be linked to larger networks, Internet of Things. Already in the course Programming for Embedded Systems, students are given the opportunity to develop smaller networks of things that communicate with each other. These skills are further developed in the courses Distributed Embedded Systems, Digital Signals and Systems, as well as Systems Engineering. These courses focus on applications involving both peer-to-peer and network-based communication between computer-aided devices. The course Systems Engineering, which is one of the final courses in the programme, which contains both VFU and a major project, where students are given the opportunity to integrate the knowledge and skills acquired during their education. The course Degree Project in Computer Engineering should be well-founded in the field of computer science and in the main emphasis of the programme, Internet of Things. It is in this course that students, in an independent work, use their competence in computer science and its proven experience to find answers to their own research questions.Data communication and securitySecure communication is a key area of interest in the development of Internet of Things. It is through the rapid development in the Internet of Things that the need to focus on this area of knowledge has grown. The courses Data Communication, Computer Security, and Wireless Networks deal with how information systems communicate with each other and how hardware communicates with information systems. Different types of protocols for data transfer are discussed in these courses. A central part of the course Data Security deals with technologies that can be used to protect data.CDIOBusiness Connections in the programme are achieved through VFU and “Design-Build Test“ - projects that are integrated into the subject courses by CDIO (Conceive-Design-Implement-Operate).The program is organized according to the principles of the CDIO initiative. These goals are developed on the basis of proposals and views from academia and industry. The core of CDIO relates to a number of learning goals, both disciplinary and non-disciplinary. The learning objectives are described in the CDIO Syllabus, and is divided into four parts: 1) Knowledge in the discipline, 2) Personal and professional skills, 3) Work in group and communication, 4) Conceive - De [...]
The Bachelor Programme in Software Development is a broad interdisciplinary course in computer science and systems development.The programme is structured around the following four interdisciplinary subjects: Programming Methodology, Systems Development, Core Computer Science Concepts and Generic and Academic Competencies. Knowledge progression is to be achieved in each of these four subject areas.Programming MethodologyWithin this subject area, the student will gain knowledge about how computers are controlled and how modern and relevant applications are created through a variety of programming courses and projects. The subject of Programming Methodology covers both the theoretical and practical foundations needed to develop software-based systems. The student will encounter and use a number of different programming paradigms including procedural, functional and object-oriented. During the second part of the course, the student will learn about various application contexts that are of relevance to the development of modern computer systems such as mobile platforms, web development and network programming. The student will also be given the opportunity to delve deeper into the knowledge and skills acquired from previous courses such as Basic Programming, Object-oriented Programming and Sustainable Programming Methods. Application and broadening of knowledge take place in the courses Network Programming, Web Development, Mobile Application Development, Machine Learning and Big Data Analytics.System DevelopmentA number of established computer science development models describing how computer systems are specified, systemised, realised, deployed and maintained are covered through project-based learning and courses. Project-based work provides a good opportunity for the student to learn about different system development methods and to develop his/her study skills, whether on an independent or group basis and also, to plan, implement and present the work done. Working in a team or group is also the most common way in which private and public sectors operate. The course Agile Software Development Methods introduces the student to traditional software development methods. In the course Project in Full-Stack Web Development, the student will learn how to use previously acquired skills, especially in the courses covering data communication, network programming and project-based web programming. The course Software Engineering gives the student a deeper understanding of software development methodology whilst providing the student with the methods and practical skills needed for designing large-scale software applications and working with large scale development projects.Core Computer Science ConceptsThe aim of this subject area is to give the student an opportunity to develop a broad knowledge and understanding of the basics of computer science including mathematics, data communication, data security, algorithm theories, data structures, operating systems, artificial intelligence and data extraction. A large part of the course consists of a theoretical basis in computer science. This is mainly covered during the third semester of the programme and thus, creating a transition between the basic introductory courses and the latter part of the programme where a more in-depth theoretical and practical knowledge is acquired.Generic and Academic CompetenciesIn this Bachelor Programme in Software Development, academic competencies and skills are integrated into subject-specific courses for the purpose of supporting student development throughout the programme. The student is systematically introduced to a scientific approach and is also helped to develop an understanding of the scientific basis of the subject and current research in computer science. This is done through a series of course elements and a methodology course. The student’s communication skills, ability to solve problems and contribute to group work will progressively develop throughout the programme through a series of course modules that include laboratory work and projects. By working in groups of varying sizes, the student will learn to communicate in a professional manner, both verbally and in writing.The programme concludes with a thesis of 15 credits.Year 1Introduction to Computer Science* - 7.5 credits Fundamental programming* - 7.5 credits Object-oriented Programming* - 7.5 credits Mathematics for Computer Science– 7.5 credits Database Technique* - 7.5 creditsMethods for Sustainable Programming * - 7.5 credits Agile Software Development* - 7.5 creditsDiscrete Mathematics – 7.5 creditsYear 2Data Communication* - 7.5 creditsOperating System* - 7.5 creditsAlgorithms and Data Structures* - 7.5 credits Computer Security* - 7.5 creditsNetwork Programming* - 9 creditsWeb Development* - 6 creditsProject in Full-Stack Web Development* - 7.5 credits Mathematical Statistics – 7 [...]
The programme consists of one method-related course, four advanced courses, two multidisciplinary project courses and one thesis in computer science comprising 15 credits. The methodology course is Computer Science Methods for Sustainable Development. The advanced courses are Mobile Platforms, Internet of Things, Wireless Communication and Security, and Data Mining. The multidisciplinary project courses are Project Management and Organization as well as Sustainable Projects in Multidisciplinary Contexts.Computer Science Methods for Sustainable Development address advanced methods for research in computer science and put them in a broader perspective, especially with regard to global sustainability goals. These basics are supplemented and further developed in advanced courses where these methods are applied in computer science contexts.Mobile Platforms is a course that highlights how mobile technology and mobile applications can be seen as an important driving force behind data revolution and how this power can be used to support global sustainability goals. Internet of Things is about technologies used to connect small computer devices (things) into larger networks, both local and global. Wireless Communication and Security highlights the role of computer security in modern digital systems, where communication between things is apparent and where security aspects are essential. Data Mining is about managing large amounts of data, about how data is collected and interpreted. Other concepts involved in this course are Big Data, Cloud, and Machine Learning.The course Sustainable Projects in Multidisciplinary Contexts is based on an interdisciplinary project to highlight how modern information technologies, such as mobile applications, Internet of Things, data mining, and data security, provide solutions that support global sustainability goals. eHealth is an example of multidisciplinary meeting point between health sciences and computer science. In this course, students use techniques highlighted in the advanced courses in different applications. In order to run computer science projects, knowledge about governance and organization is also needed. This is highlighted in the course Project Management and Organization. In the course Degree Project in Computer Science an independent work is conducted. This course is well-established in computer science as a research field as well as the main theme of the program. Development of technical systems which support sustainable development is here taken into account. In this course, students use their knowledge in methodology as well as their subject competence to develop their own research questions and answer them through empirical work. Program Structure Term 1Computer Science Methods for Sustainable Development 6 creditsInternet of Things 6 creditsMobile platforms 6 creditsWireless Network Security 6 creditsData mining 6 creditsTerm 2Project Management and Organization 5 credits Sustainable Projects in Multidisciplinary Contexts 10 creditsDegree Project in Computer Science 15 credits
Master program Integrative Health comprises 120 credits. Work related education (VFU) is included and is 5 credits. This program is offered at half speed (50%) for four years (eight semesters) in accordance with the overview below. However, the thesis can be conducted at quarter speed (25%) if the student so desires.Obligatory courses 90 credits· Perspectives on health and society, 7.5 credits · Knowledge development in the multi-professional work place, 7.5 credits · Scientific theory and methodological considerations, part I 7,5 credits · Evaluation for change 15 credits · Research Design 15 credits· International health, 7,5 creditsand Thesis, 30 credits In addition there will be optional / elective courses for 30 credits· Theory specialization corresponding to 15 credits at basic or advanced level · Method specialization corresponding to 15 credits at advanced levelOptional courses are offered within the program. Elective courses may be taken either at Kristianstad University or at another establishment. Elective courses are chosen in consultation with the Head of Programme, in order that they may be recognized as part of the degree.The student shall be offered the opportunity to participate in seminars and research activities at Kristianstad University.