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Dato Tittel Foreleser Emne
Tommelnegl 5. september 2017
Kl. 11.15
110 min
K105
Matematikk 1 Anders Oulie REA1141 Matematikk 1 HØST 2017
Tommelnegl 9. oktober 2017
Kl. 16.15
108 min
K105
Anders Oulie REA1141 Matematikk 1 HØST 2017
Tommelnegl 27. oktober 2017
Kl. 10.15
108 min
Lille Eureka, 1/3 Eureka
Anders Oulie REA1141 Matematikk 1 HØST 2017
Tommelnegl 19. oktober 2017
Kl. 16.15
100 min
Store Eureka, 2/3 Eureka
Grafer avslutning Hans Petter Hornæs REA1101
Tommelnegl 4. oktober 2017
Kl. 16.15
100 min
Lille Eureka, 1/3 Eureka
Matriser 2 Hans Petter Hornæs REA1101
Tommelnegl 19. september 2017
Kl. 16.15
100 min
Store Eureka, 2/3 Eureka
Mengder 1 Hans Petter Hornæs REA1101
Tommelnegl 31. august 2017
Kl. 10.15
100 min
K105
Mengder, mengdeoperasjoner og venndiagram Hans Petter Hornæs REA1101
Tommelnegl 19. september 2016
Kl. 11.15
100 min
K105
Mengder og mengdeoperasjoner Hans Petter Hornæs REA1101
Tommelnegl 12. september 2016
Kl. 11.15
100 min
K105
Avslutning, utsagnslogikk Hans Petter Hornæs REA1101
Tommelnegl 10. oktober 2016
Kl. 11.15
105 min
K105
Lars Nils Bakken REA1101
Tommelnegl 10. november 2016
Kl. 12.15
100 min
K105
Inhomogene rekursjonslikninger Hans Petter Hornæs REA1101
Tommelnegl 5. september 2016
Kl. 11.15
100 min
K105
Utsagnslogikk, konnektiver. Hans Petter Hornæs REA1101
Tommelnegl 6. oktober 2016
Kl. 12.15
100 min
K105
Løsningsmengder for likningsystemer Hans Petter Hornæs REA1101
Tommelnegl 23. august 2017
Kl. 16.15
100 min
Lille Eureka, 1/3 Eureka
Faktorisering og primtall Hans Petter Hornæs REA1101
Tommelnegl 1. september 2016
Kl. 12.15
100 min
K105
Avslutning, modul 1 Hans Petter Hornæs REA1101
Tommelnegl 19. oktober 2017
Kl. 10.15
100 min
Lille Eureka, 1/3 Eureka
Grafer Hans Petter Hornæs REA1101
Tommelnegl 21. september 2017
Kl. 10.15
100 min
K105
Mengder 3 Hans Petter Hornæs REA1101
Tommelnegl 30. august 2016
Kl. 15.15
100 min
Store Eureka, 2/3 Eureka
Diofantiske likninger Hans Petter Hornæs REA1101
Tommelnegl 15. september 2022
Kl. 10.10
115 min
K105
Forelesning REA0021 15/9-2022 Are Strandlie REA0021 Forkurs i fysikk for TRES
Tommelnegl 20. oktober 2021
Kl. 08.10
115 min
K105
Forelesning REA0021 20.10.2021 Are Strandlie REA0021 Forkurs i fysikk for TRES
Tommelnegl 19. november 2021
Kl. 12.10
115 min
K105
Forelesning REA0021 19.11.2021 Are Strandlie REA0021 Forkurs i fysikk for TRES
Tommelnegl 29. oktober 2021
Kl. 12.10
115 min
K105
Forelesning REA0021 29.10.2021 Are Strandlie REA0021 Forkurs i fysikk for TRES
Tommelnegl 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
Tommelnegl 5. september 2016
Kl. 08.15
105 min
Store Eureka, 2/3 Eureka
Prosjektledelse-/styring høst 2016 Per Jacobsen Prosjektledelse-/styring 2016
Tommelnegl 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
Tommelnegl 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
Tommelnegl 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
Tommelnegl 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
Tommelnegl 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
Tommelnegl 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