Spring semester 2020: Three elective computer science courses at master level is offered
Department of Computer Science, campus Tromsø, will in the spring semester 2020 offer three seminars: INF-3910-2 Computer Science Seminar: Green Computing, INF-3910-5 Computer Science Seminar: Applied functional programming in .NET Core, and INF-3910-6 Computer Science Seminar: Introduction to Artificial Intelligence and Applied Methods.
Target group for all three seminars is master level students. Exchange students may in certain cases take the seminars if they have the recommended prerequisites to take them.
INF-3910-2 Computer Science Seminar: Green Computing
Professor Phuong H. Ha, Department of computer science (UiT) will be responsible for the course. The language of instruction is English and all of the syllabus material is in English.
The course covers a variety of aspects related to green computing, particularly on how to address energy efficiency across mobile, embedded and data-center systems. It provides insights into various energy optimization techniques across different levels of the system stack including architecture, runtime systems, libraries and programming languages.
Course objectives and other course info: INF-3910-2 Computer Science Seminar: Green Computing
INF-3910-5 Computer Science Seminar: Applied functional programming in .NET Core
Professor John Markus Bjørndalen, Department of computer science (UiT) will be responsible for the course, but all lectures will be given by Jonas Juselius, Serit IT Partner and Department of Computer Science. The language of instruction is English and all of the syllabus material is in English.
This seminar covers the theory and principles of functional programming, using F# and .NET Core to demonstrate concepts. The aim is to introduce the theoretical foundations, while focusing on the practical application of functional programming techniques and their use in the software industry.
The following topics will be covered in this course:
Course objectives and other course info: INF-3910-5 Computer Science Seminar: Applied functional programming in .NET Core
INF-3910-6 Computer Science Seminar: Introduction to Artificial Intelligence and Applied Methods
The content of this seminar will be:
The course gives an overview of Artificial Intelligence and Applied Methods. The focus is on several different areas of Artificial Intelligence with AI-problems, and Methods and includes areas such as: Intelligent /Knowledge-based systems, Agent / multi-agent systems, Machine Learning, Artificial Neural Networks, Natural language processing and strategies.
The course addresses classic principles for design and implementation of AI systems and applications and discusses emerging trends from the international research front.
Particularly, the following topics will be addressed:
The focus is on using artificial intelligence techniques to develop systems for different problems.
Course objectives and other course info: INF-3910-6 Computer Science Seminar: Introduction to Artificial Intelligence and Applied Methods
If you have professional / technical questions you can contact Professor Anne Håkansson.
For master level students in computer science. Note also that recommended prerequisites in mathematics are MAT-1004 Linear algebra in addition to MAT-0001 / MAT-1001, MAT-1005 and STA-0001 / STA-1001.
Tentative time tables for the three seminars are:
INF-3910-2 CSS: Green Computing
INF-3910-5 CSS: Applied functional programming in .NET Core
INF-3910-6 CSS: Introduction to Artificial Intelligence and Applied Methods
The allocated time table for the three seminars will not collide with lectures / study groups for the following computer science courses: NF-3203 and INF-3701.
Master level students on a 2- or 5-year master program in computer science at UiT must register for the exam through the Studentweb within February 1st 2020. Other categories of students must contact the administration at Department of Computer Science.
PhD students at UiT
If these seminars are considered relevant as part of the academic training component for a PhD student the existing course code INF-8810 Ph.d. Special curriculum in Computer science - 10 ECTS can be used. PhD students must expect an expanded scope / depth in coursework / exam counting component (s) in relation to what is the case for students taking the INF-3910 seminars. PhD students must contact the responsible for the seminars.
Each PhD-student must use the application form (Norwegian only):