EPN-V2

ACIT4290 Practical cybersecurity Course description

Course name in Norwegian
Practical cybersecurity
Study programme
Master's Programme in Applied Computer and Information Technology
Weight
10.0 ECTS
Year of study
2023/2024
Course history

Introduction

Master's Thesis, Long - MT1 (Phase 1) must have been passed before the student can start work with MT2.

Recommended preliminary courses

Assistant professor Safiqul Islam

Required preliminary courses

Each student is appointed a supervisor when starting MT1. The work is carried out under the guidance of the appointed supervisor.

In addition to the project work, there will be a series of working during which students will be provided with a range of analytical tools and methods to help develop their writing skills. Students will also receive formative feedback on draft versions of their texts from the course instructor and their peers.;

Learning outcomes

Phase 2 is dedicated to the continued development of the master's project work, for example, planning and implementation of the methdology, development, data collection and analysis. The precise nature and status of the work will be dependant on the specific project.

In addition, there will be a series of workshops on the academic writing and effective communication of the thesis project, building on the workshops in Phase 1. Students will develop an awareness of the conventions of academic writing and the writing process and use a range of analytical tools and methods to develop their writing and writing practices as part of writing their thesis.Guildeline for master's theses at the Faculty can be found here: Retningslinjer for masteroppgaver ved Fakultet for teknologi, kunst og design - Student - minside (oslomet.no)

Teaching and learning methods

The Phase 1 submission is an individual written text of between 5,000 and 10,000 words that amounts to the two first chapters of the thesis: the Introduction and Literature Review. The text should clearly formulate the problem statement and research questions, and include a plan of the research to be conducted in Phase 2 and 3 of the masters thesis.;

It is understood that the contents of the Phase 1 submission does not necessarily constitute the final versions of the text in the master's thesis.;

The exam grade can be appealed.

New/postponed exam: in case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

Course requirements

This course provides a broad introduction to machine learning (ML), which includes supervised, unsupervised, and reinforcement learning, and deep learning (DL) that can be used in different application domains. Students will learn both theories and practices in ML and DL. Moreover, students will learn from studying, presenting, and discussing relevant research articles and expose themselves to research by doing a research project.

Assessment

Assessment is pass or fail.

Permitted exam materials and equipment

Two internal examiners. External examiner is used periodically.

Grading scale

Assistant professor Nuno Marques

Examiners

Assessment is pass or fail.

Course contact person

Two internal examiners. External examiner is used periodically.