FI:IV123 Informatics-Driven Future - Course Information
IV123 Informatics-Driven Future
Faculty of InformaticsSpring 2018
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
- Teacher(s)
- prof. RNDr. Jozef Gruska, DrSc. (lecturer)
- Guaranteed by
- prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Contact Person: prof. RNDr. Jozef Gruska, DrSc.
Supplier department: Department of Computer Science – Faculty of Informatics - Timetable
- Wed 14:00–15:50 B410
- Prerequisites
- There are no special technical requirements. Main requirement is a deeper interest to know the expected role of Informatics for society in future,\, as well as its main challenges and potential
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (eng.) (programme FI, N-IN)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- Exponentially fast developments in Informatics, especially in information storing, transmission and processing driven technologies, and in artificial intelligence, create potential for enormous impacts on society. The impact that has potential to be very positive, but also very negative, even historical. Moreover, due to that development, what can be nowadays expected as to happen in the next 50-100 years, in most of the areas of society, especially in science, technology, health care,...., if the current rate of development is sustained, can happen actually already within next 20-40 years. The goal of the course is to provide a visionary and thoughts-provoking, but well grounded, analysis of the main developments that we can, reasonably, expect, and why, in the (very) near future. Especially due to the development in all information processing and communication driven technologies, nanotechnologies, genetics, non-biological (artificial) intelligence and in fights with natural death and in explorig intelligence as a commodity. Informatics, once properly understood and developed%and sufficiently broadly and deeply understood, is to play at that a key role. Merits of the favorable future, but also ways to avoid perils, if possible, will also be discussed. The course should be of interest and importance to all those interested to find out the frameworks, tools, tasks and main challenges they and society will face in the (already quite near) future. To understand that should be for anyone not only very interesting, but actually much needed for knowing how to prepare oneself in the best way for the expected long future carrier in enormously fast changing frameworks. Contents: 1. Introduction: Why and how to foresee future? Main megachallenges. 2. Evolution - from biological to non-biological one and to their merge. 3. Exponential acceleration of all information-driven technologies. 4. New perception of Scientific Informatics and its grand challenges. 5. Impulses and roads to a new perception of Informatics 6. Technological and Applied Informatics and their grand challenges. 7. New, Informatics-driven, methodology and its grand challenges. 8. Developments in the understanding and simulation of human brains. 9. GNR-revolution - Artificial intelligence and robotics,aibeings 10. GNR revolution - Genetics and Nanotechnologies. 11. Singularity: merge of bio- and non-bio-intelligence-merits/perils. 12. Longevity - Can we fight death? Can we make life enjoyable till/after 150?!
- Syllabus
- 1. Introduction. Why and how we need/can forsee future? Old and new mega-challenges of science, technology and informatics. 2.Evolution. From biological to non-biological (technological) evolution and their merge. Enormous expected impacts of the merge ot the biological and non-biological intelligence. 3. Exponential developments in information processing and communication technologies and their impacts on science, technology and the rest of society 4.New perception of informatics and its grand challenges. Informatics as a merge of scientific, engineering, methodological and application informatics. New perception of the scientific informatics and its grand challenges. 5. New perception of the technological iand applied nformatics and their grand challenges. 6. New, informatics-driven methodology for science, technology, and actually for all areas of society. 7. Recent developments in understanding and simulation of human brains and minds 8. GNR revolution - I. Robotics and artificial intelligence. Long hhistory, hot outcomes, big dangers. 9. GNR Revolution - II. Geniomics and nanotechnologies 10. Singularity - a merge of biological and non-biological evolution. 12. Longevity - Can we fight death? How (much). Can we make life ebjyable till/after 150?!
- Literature
- R. Kurzweil: The singularity is near, Penguing books, 2005
- Teaching methods
- lectures
- Assessment methods
- esseys or exams or colloquia
- Language of instruction
- English
- Further comments (probably available only in Czech)
- The course is taught annually.
- Teacher's information
- http://www.fi.muni.cz/usr/gruska/future13
- Enrolment Statistics (Spring 2018, recent)
- Permalink: https://is.muni.cz/course/fi/spring2018/IV123