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Dato | Tittel | Foreleser | Emne | |
---|---|---|---|---|
5. september 2017 Kl. 11.15 110 min K105 |
Matematikk 1 | Anders Oulie | REA1141 Matematikk 1 HØST 2017 | |
9. oktober 2017 Kl. 16.15 108 min K105 |
Anders Oulie | REA1141 Matematikk 1 HØST 2017 | ||
27. oktober 2017 Kl. 10.15 108 min Lille Eureka, 1/3 Eureka |
Anders Oulie | REA1141 Matematikk 1 HØST 2017 | ||
19. oktober 2017 Kl. 16.15 100 min Store Eureka, 2/3 Eureka |
Grafer avslutning | Hans Petter Hornæs | REA1101 | |
4. oktober 2017 Kl. 16.15 100 min Lille Eureka, 1/3 Eureka |
Matriser 2 | Hans Petter Hornæs | REA1101 | |
19. september 2017 Kl. 16.15 100 min Store Eureka, 2/3 Eureka |
Mengder 1 | Hans Petter Hornæs | REA1101 | |
31. august 2017 Kl. 10.15 100 min K105 |
Mengder, mengdeoperasjoner og venndiagram | Hans Petter Hornæs | REA1101 | |
19. september 2016 Kl. 11.15 100 min K105 |
Mengder og mengdeoperasjoner | Hans Petter Hornæs | REA1101 | |
12. september 2016 Kl. 11.15 100 min K105 |
Avslutning, utsagnslogikk | Hans Petter Hornæs | REA1101 | |
10. oktober 2016 Kl. 11.15 105 min K105 |
Lars Nils Bakken | REA1101 | ||
10. november 2016 Kl. 12.15 100 min K105 |
Inhomogene rekursjonslikninger | Hans Petter Hornæs | REA1101 | |
5. september 2016 Kl. 11.15 100 min K105 |
Utsagnslogikk, konnektiver. | Hans Petter Hornæs | REA1101 | |
6. oktober 2016 Kl. 12.15 100 min K105 |
Løsningsmengder for likningsystemer | Hans Petter Hornæs | REA1101 | |
23. august 2017 Kl. 16.15 100 min Lille Eureka, 1/3 Eureka |
Faktorisering og primtall | Hans Petter Hornæs | REA1101 | |
1. september 2016 Kl. 12.15 100 min K105 |
Avslutning, modul 1 | Hans Petter Hornæs | REA1101 | |
19. oktober 2017 Kl. 10.15 100 min Lille Eureka, 1/3 Eureka |
Grafer | Hans Petter Hornæs | REA1101 | |
21. september 2017 Kl. 10.15 100 min K105 |
Mengder 3 | Hans Petter Hornæs | REA1101 | |
30. august 2016 Kl. 15.15 100 min Store Eureka, 2/3 Eureka |
Diofantiske likninger | Hans Petter Hornæs | REA1101 | |
15. september 2022 Kl. 10.10 115 min K105 |
Forelesning REA0021 15/9-2022 | Are Strandlie | REA0021 Forkurs i fysikk for TRES | |
20. oktober 2021 Kl. 08.10 115 min K105 |
Forelesning REA0021 20.10.2021 | Are Strandlie | REA0021 Forkurs i fysikk for TRES | |
19. november 2021 Kl. 12.10 115 min K105 |
Forelesning REA0021 19.11.2021 | Are Strandlie | REA0021 Forkurs i fysikk for TRES | |
29. oktober 2021 Kl. 12.10 115 min K105 |
Forelesning REA0021 29.10.2021 | Are Strandlie | REA0021 Forkurs i fysikk for TRES | |
20. juni 2022 Kl. 10.15 50 min Smaragd 1 (S206) |
Sommerkurs i matematikk | Bjørn Olav Hogstad | REA0012 Forkurs i matematikk for Tres og y-vei | |
5. september 2016 Kl. 08.15 105 min Store Eureka, 2/3 Eureka |
Prosjektledelse-/styring høst 2016 | Per Jacobsen | Prosjektledelse-/styring 2016 | |
6. april 2017 Kl. 10.00 70 min K105 |
Trial Lecture G Weldehawaryat Ph.D. examination of G Weldehawaryat, first part (trial lecture) |
PhD Examination | PhD Examination | |
23. februar 2017 Kl. 11.20 95 min K102 |
NBLAW-2017 Session 2 Norwegian Biometrics Laboratory Annual Workshop - 2017 Theme : Smartphone based biometrics - Opportunities and Challenges Session - 2 |
Kiran Bylappa Raja | Norwegian Biometrics Laboratory | |
23. februar 2017 Kl. 09.25 105 min K102 |
NBLAW-2017 Session 1 Norwegian Biometrics Laboratory Annual Workshop - 2017 Theme : Smartphone based biometrics - Opportunities and Challenges Session - 1 |
Kiran Bylappa Raja | Norwegian Biometrics Laboratory | |
19. mai 2017 Kl. 12.12 55 min K105 |
A novel Binarization Scheme for Real-valued Biometric Feature Biometric binarization is the feature-type transformation that converts a specific feature representation into a binary representation. It is a fundamental issue to transform the real-valued feature vectors to the binary vectors in biometric template protection schemes. The transformed binary vectors should be high for both discriminability and privacy protection when they are employed as the input data for biometric cryptosystems. We present a novel binarization scheme based on random projection and random Support Vector Machine (SVM) to further enhance the security and privacy of biometric binary vectors. The proposed scheme can generate a binary vector of any given length as an ideal input for biometric cryptosystems. In addition, the proposed scheme is independent of the biometric feature data distribution. Several comparative experiments are conducted on multiple biometric databases to show the feasibility and efficiency of the proposed scheme. |
Jialiang Peng | NISseminar | |
15. september 2017 Kl. 12.12 55 min A146 |
Big Data Analytics: Topic Modeling for Digital Forensics Investigations and Cyber Threat Intelligence “Big Data Analytics” has become a high priority topic in Cyber Research and in the field of Cyber Security, Big Data represents a very serious problem. In the domain of Digital Forensics Investigations (DFI), the sheer volume of data to be analyzed impedes police operations that require timely reporting of DFI results to support active criminal investigations in the field. In the domain of Cyber Threat Intelligence (CTI), a rapid assessment of the available threat data is required to enable dissemination of actionable intelligence in a timely manner. Topic Modeling is an unsupervised machine learning method for analyzing large bodies of text data and producing estimates of the topics under discussion in them. To gain some insight into how it works, we reviewed some of the underlying principles of Topic Modeling. Then, I presented experimental results that show how Topic Modeling would work in the specific domains of DFI (using the Enron data set) and CTI (using posts scraped from an online hacker forum). |
Carl Stuart Leichter | NISseminar | |
27. januar 2017 Kl. 12.10 60 min K105 |
Enhancement of human performance in military cyber operations by facilitating the application of behavioral science in cyber defence practice In cyber operations, we are less directly confronted with the outcomes of our action than in situations of physical or direct engagement. Our anticipation of future outcomes are more abstract or differently specified, less detailed, and typically decision-making processes are conducted under multiple converging and diverging pressures. These circumstances, are assumed but not yet well-understood aspects of cognition, such as an increased tolerance to uncertainty or management of cognitive load, all contribute to how judgements and decisions are made to act and determine the overall performance. The effects of digitisation on decision-making and the contribution of behavioural sciences are largely not investigated within the cyber domain, but this can nonetheless have immediate effects on cyber security at national and international level. In the wake of Cyber Pledge, this calls for an intensified effort in research, training and education of personnel with cyber competence. This talk will focus on human factors in cyber operations. What has been done so far by the research group *PACE-CYBORG*, and the future landscape ahead. |
Øyvind Jøsok & Benjamin Knox | NISlecture |