Skip to main content

Software Exploitation (5 cr)

Code: TTC6520-3002

General information


Enrollment
01.08.2023 - 24.08.2023
Registration for the implementation has ended.
Timing
30.10.2023 - 19.12.2023
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
1 cr
Virtual portion
4 cr
Mode of delivery
Blended learning
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
English
Seats
0 - 35
Degree programmes
Bachelor's Degree Programme in Information and Communications Technology
Bachelor's Degree Programme in Information and Communications Technology
Teachers
Joonatan Ovaska
Groups
TTV21S3
Tieto- ja viestintätekniikka (AMK)
TTV21S5
Tieto- ja viestintätekniikka (AMK)
TIC21S1
Bachelor's Degree Programme in Information and Communications Technology
TTV21S2
Tieto- ja viestintätekniikka (AMK)
TTV21S1
Tieto- ja viestintätekniikka (AMK)
Course
TTC6520
No reservations found for realization TTC6520-3002!

Evaluation scale

0-5

Objective

The student knows the most common application vulnerabilities and how they affect new and existing applications. The student is also able to find, exploit and fix common application vulnerabilities. The student is also familiar with safety mechanisms built into modern operating systems to make exploitation more difficult.

Competences
EUR-ACE: Knowledge and understanding 
EUR-ACE: Engineering practice 

Content

The course will cover most common application vulnerabilities, what causes them, how they are exploited and how to fix or mitigate them. Basic knowledge of C or C++ and data structures and algorithms is required. Knowledge of one scripting language (e.g. Python) is recommended.

Location and time

- First contact on campus, rest of them online
- Guidance sessions on campus

Materials

Materials in the e-learning environment and a book: Hacking : the art of exploitation 2nd edition

Teaching methods

- lectures
- independent study
- distance learning
- webinars
- exercises
- learning tasks
- book

Exam schedules

No exam, assessment is based on assignments.

Completion alternatives

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Student workload

One credit (1 Cr) corresponds to an average of 27 hours of work.

- lectures 15 h
- demos and walkthroughs 15 h
- assignment 45 h
- independent study 55 h
Total 135 h

Assessment criteria, satisfactory (1)

Satisfactory (2): The student understands the most basic topics discussed during the course, however, struggles to utilize this knowledge.
Sufficient (1): The student is familiar with the basic topics discussed during the course. He is able to solve problems related to the topics only in the simplest of cases.
Fail 0: The student does not meet the minimum criteria set for the course.

Assessment criteria, good (3)

Very good (4): The student understands the most important topics discussed during the course and is able to utilize this knowledge in the most common cases.
Good (3): The student understands the most important topics discussed during the course and is able to utilize this knowledge in the most basic cases.

Assessment criteria, excellent (5)

Excellent (5): The student understands all topics discussed during the course and is able to use them in an innovative manner even in challenging cases.

Qualifications

Basics in programming, Data structures and algorithms

Further information

Points from lab reports. No exam.

Go back to top of page