System Forensics
BASIC DATA
course listing
A - main register
course code
ITX8200
course title in Estonian
Arvutite ja seadmete analüüs
course title in English
System Forensics
course volume CP
4.00
ECTS credits
6.00
to be declared
yes
assessment form
Graded assessment
teaching semester
autumn - spring
language of instruction
Estonian
English
Study programmes that contain the course
code of the study programme version
course compulsory
IVCM25/25
yes
Structural units teaching the course
IT - Department of Software Science
Course description link
Timetable link
View the timetable
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Anda teadmine kust ja kuidas otsida tõendeid erinevates süsteemides, analüüsida sobival detailsuse tasemel ja dokumenteerida tõendite kogumise ja analüüsi protsessi.
course aims in English
Give an understanding how and where to look for evidence in different systems, analyse it with necessary levels of granularity and documenting the evidence collection and analysis process.
learning outcomes in the course in Est.
- Oskab püstitada analüüsiks vajalikke hüpoteese
- Oskab teha sobivate meetoditega analüüsi erinevates operatsioonisüsteemides
- Oskab kasutada tõendite kogumise ja analüüsi vahendeid
- Oskab logide põhjal taastada süsteemi kasutamise ajalugu
- Oskab otsida ja taastada failisüsteemidest kustutatud infot ning säilitada tõendite ahel
learning outcomes in the course in Eng.
- Can form hypotheses for investigative analysis
- Knows how to perform proper forensic analysis by applying key analysis techniques covering different operating systems
- Is able to use freely available and open tools for evidence acquisitions and analysis
- Can establish last usage timeline trough system log and log footprints
- Can find some deleted data and keep the chain of evidence
brief description of the course in Estonian
Digitaalse analüüsi alused, mälu analüüs, struktureerimata analüüs. Failisüsteemid FAT , Fat32, NTFS , HPFS , Ext4 jt analüüsi perspektiivist. USB seadmete ja võrgufailisüsteemide analüüs. Stringiotsing, e-mail analüüs. Registrite ja logide analüüs. Veebisirvijate analüüs. Erinevate failide (dokumendid, pildid jt) ja meta-andmete analüüs. Nutitelefonide analüüsi alused. Ajajoone loomine ja analüüs.
brief description of the course in English
Digital forensics fundamentals tied to evidence acquisition, memory acquisition and unstructured analysis. File systems FAT , Fat 32 NTFS , HPFS , Ext4 in analysis perspective. USB device analysis, system and local domain file analysis. String search, data carving, and e-mail forensics. Registry and log files analysis. Web browser forensics. Different file content (documents, photos and so on) and metadata analysis. Smartphone forensics fundamentals. Timeline creation and analysis.
type of assessment in Estonian
eristav
type of assessment in English
.
independent study in Estonian
Aruanne ja ettekanne lisamaterjalide lugemise baasil.
independent study in English
Writing a report and present short overview about additional reading.
study literature
Kursuse veebilehel
Digital Forensics with Open Source Tools: Using Open Source Platform Tools by Cory Altheide and Harlan Carvey
study forms and load
daytime study: weekly hours
4.0
session-based study work load (in a semester):
lectures
2.0
lectures
-
practices
2.0
practices
-
exercises
0.0
exercises
-
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
2024/2025 spring
Pavel Chikul, IT - Department of Software Science
English
    ITX8200-eng.pdf 
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    2023/2024 autumn
    Pavel Chikul, IT - Department of Software Science
    English
      2022/2023 autumn
      Pavel Chikul, IT - Department of Software Science
      English
        2021/2022 autumn
        Pavel Laptev, IT - Department of Software Science
        English
          Pavel Chikul, IT - Department of Software Science
          English
            2020/2021 autumn
            Pavel Laptev, IT - Department of Software Science
            English
              2019/2020 autumn
              Pavel Laptev, IT - Department of Software Science
              English
                2018/2019 autumn
                Pavel Laptev, IT - Department of Software Science
                English
                  2017/2018 spring
                  Pavel Laptev, IT - Department of Software Science
                  English
                    2016/2017 spring
                    Pavel Laptev, IT - Department of Software Science
                    English
                      2015/2016 spring
                      Pavel Laptev, IT - Department of Software Science
                      English
                        Course description in Estonian
                        Course description in English